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[jackhill/guix/guix.git] / gnu / packages / bioconductor.scm
1 ;;; GNU Guix --- Functional package management for GNU
2 ;;; Copyright © 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 Ricardo Wurmus <rekado@elephly.net>
3 ;;; Copyright © 2016, 2017, 2018, 2020, 2021 Roel Janssen <roel@gnu.org>
4 ;;; Copyright © 2016 Pjotr Prins <pjotr.guix@thebird.nl>
5 ;;; Copyright © 2016 Ben Woodcroft <donttrustben@gmail.com>
6 ;;; Copyright © 2017, 2022 Efraim Flashner <efraim@flashner.co.il>
7 ;;; Copyright © 2017, 2018, 2019, 2020, 2021 Tobias Geerinckx-Rice <me@tobias.gr>
8 ;;; Copyright © 2019, 2020, 2021, 2022 Simon Tournier <zimon.toutoune@gmail.com>
9 ;;; Copyright © 2020 Peter Lo <peterloleungyau@gmail.com>
10 ;;; Copyright © 2020, 2021, 2022 Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de>
11 ;;; Copyright © 2020 Jakub Kądziołka <kuba@kadziolka.net>
12 ;;; Copyright © 2021 Hong Li <hli@mdc-berlin.de>
13 ;;; Copyright © 2021 Tim Howes <timhowes@lavabit.com>
14 ;;; Copyright © 2021 Nicolas Vallet <nls.vallet@gmail.com>
15 ;;;
16 ;;; This file is part of GNU Guix.
17 ;;;
18 ;;; GNU Guix is free software; you can redistribute it and/or modify it
19 ;;; under the terms of the GNU General Public License as published by
20 ;;; the Free Software Foundation; either version 3 of the License, or (at
21 ;;; your option) any later version.
22 ;;;
23 ;;; GNU Guix is distributed in the hope that it will be useful, but
24 ;;; WITHOUT ANY WARRANTY; without even the implied warranty of
25 ;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
26 ;;; GNU General Public License for more details.
27 ;;;
28 ;;; You should have received a copy of the GNU General Public License
29 ;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
30
31 (define-module (gnu packages bioconductor)
32 #:use-module ((guix licenses) #:prefix license:)
33 #:use-module (guix packages)
34 #:use-module (guix download)
35 #:use-module (guix git-download)
36 #:use-module (guix build-system r)
37 #:use-module (gnu packages)
38 #:use-module (gnu packages autotools)
39 #:use-module (gnu packages base)
40 #:use-module (gnu packages bioinformatics)
41 #:use-module (gnu packages boost)
42 #:use-module (gnu packages cran)
43 #:use-module (gnu packages compression)
44 #:use-module (gnu packages curl)
45 #:use-module (gnu packages docker)
46 #:use-module (gnu packages gcc)
47 #:use-module (gnu packages graph)
48 #:use-module (gnu packages graphviz)
49 #:use-module (gnu packages haskell-xyz)
50 #:use-module (gnu packages image)
51 #:use-module (gnu packages java)
52 #:use-module (gnu packages maths)
53 #:use-module (gnu packages netpbm)
54 #:use-module (gnu packages python)
55 #:use-module (gnu packages perl)
56 #:use-module (gnu packages pkg-config)
57 #:use-module (gnu packages statistics)
58 #:use-module (gnu packages web)
59 #:use-module (gnu packages xml)
60 #:use-module (srfi srfi-1))
61
62 \f
63 ;;; Annotations
64
65 (define-public r-org-eck12-eg-db
66 (package
67 (name "r-org-eck12-eg-db")
68 (version "3.12.0")
69 (source
70 (origin
71 (method url-fetch)
72 (uri (bioconductor-uri "org.EcK12.eg.db" version 'annotation))
73 (sha256
74 (base32 "0c4p6jr83k0gm6pvn760yr8xf33wggrfcr6fg7a42a96bcf817gs"))))
75 (properties
76 `((upstream-name . "org.EcK12.eg.db")))
77 (build-system r-build-system)
78 (propagated-inputs
79 (list r-annotationdbi))
80 (home-page "https://bioconductor.org/packages/org.EcK12.eg.db")
81 (synopsis "Genome wide annotation for E coli strain K12")
82 (description
83 "This package provides genome wide annotation for E coli strain K12,
84 primarily based on mapping using Entrez Gene identifiers. Entrez Gene is
85 National Center for Biotechnology Information (NCBI)’s database for
86 gene-specific information. Entrez Gene maintains records from genomes which
87 have been completely sequenced, which have an active research community to
88 submit gene-specific information, or which are scheduled for intense sequence
89 analysis.")
90 (license license:artistic2.0)))
91
92 (define-public r-org-bt-eg-db
93 (package
94 (name "r-org-bt-eg-db")
95 (version "3.13.0")
96 (source
97 (origin
98 (method url-fetch)
99 (uri (bioconductor-uri
100 "org.Bt.eg.db"
101 version
102 'annotation))
103 (sha256
104 (base32
105 "0pwvwyfah8fhvaxdc8zkp3lp1v4mchhzr84r3hb0jx97icdvhafi"))))
106 (properties `((upstream-name . "org.Bt.eg.db")))
107 (build-system r-build-system)
108 (propagated-inputs
109 (list r-annotationdbi))
110 (home-page "https://bioconductor.org/packages/org.Bt.eg.db")
111 (synopsis "Genome wide annotation for Bovine")
112 (description
113 "This package provides genome wide annotations for Bovine, primarily
114 based on mapping using Entrez Gene identifiers.")
115 (license license:artistic2.0)))
116
117 (define-public r-reactome-db
118 (package
119 (name "r-reactome-db")
120 (version "1.70.0")
121 (source
122 (origin
123 (method url-fetch)
124 (uri (bioconductor-uri "reactome.db" version 'annotation))
125 (sha256
126 (base32
127 "05wc4fp0faq6h3kq5rwafnips043as31yq11mrjngfxvf5i10srg"))))
128 (properties `((upstream-name . "reactome.db")))
129 (build-system r-build-system)
130 (propagated-inputs
131 (list r-annotationdbi))
132 (home-page "https://bioconductor.org/packages/reactome.db/")
133 (synopsis "Annotation maps for reactome")
134 (description
135 "This package provides a set of annotation maps for the REACTOME
136 database, assembled using data from REACTOME.")
137 (license license:cc-by4.0)))
138
139 (define-public r-bsgenome-btaurus-ucsc-bostau8
140 (package
141 (name "r-bsgenome-btaurus-ucsc-bostau8")
142 (version "1.4.2")
143 (source (origin
144 (method url-fetch)
145 (uri (bioconductor-uri "BSgenome.Btaurus.UCSC.bosTau8"
146 version 'annotation))
147 (sha256
148 (base32
149 "16wjy1aw9nvx03r7w8yh5w7sw3pn8i9nczd0n0728l6nnyqxlsz6"))))
150 (properties
151 `((upstream-name . "BSgenome.Btaurus.UCSC.bosTau8")))
152 (build-system r-build-system)
153 (propagated-inputs
154 (list r-bsgenome))
155 (home-page
156 "https://www.bioconductor.org/packages/BSgenome.Btaurus.UCSC.bosTau8/")
157 (synopsis "Full genome sequences for Bos taurus (UCSC version bosTau8)")
158 (description "This package provides the full genome sequences for Bos
159 taurus (UCSC version bosTau8).")
160 (license license:artistic2.0)))
161
162 (define-public r-bsgenome-celegans-ucsc-ce6
163 (package
164 (name "r-bsgenome-celegans-ucsc-ce6")
165 (version "1.4.0")
166 (source (origin
167 (method url-fetch)
168 (uri (bioconductor-uri "BSgenome.Celegans.UCSC.ce6"
169 version 'annotation))
170 (sha256
171 (base32
172 "0mqzb353xv2c3m3vkb315dkmnxkgczp7ndnknyhpgjlybyf715v9"))))
173 (properties
174 `((upstream-name . "BSgenome.Celegans.UCSC.ce6")))
175 (build-system r-build-system)
176 (propagated-inputs
177 (list r-bsgenome))
178 (home-page
179 "https://www.bioconductor.org/packages/BSgenome.Celegans.UCSC.ce6/")
180 (synopsis "Full genome sequences for Worm")
181 (description
182 "This package provides full genome sequences for Caenorhabditis
183 elegans (Worm) as provided by UCSC (ce6, May 2008) and stored in Biostrings
184 objects.")
185 (license license:artistic2.0)))
186
187 (define-public r-bsgenome-celegans-ucsc-ce10
188 (package
189 (name "r-bsgenome-celegans-ucsc-ce10")
190 (version "1.4.0")
191 (source (origin
192 (method url-fetch)
193 (uri (bioconductor-uri "BSgenome.Celegans.UCSC.ce10"
194 version 'annotation))
195 (sha256
196 (base32
197 "1zaym97jk4npxk14ifvwz2rvhm4zx9xgs33r9vvx9rlynp0gydrk"))))
198 (properties
199 `((upstream-name . "BSgenome.Celegans.UCSC.ce10")))
200 (build-system r-build-system)
201 (propagated-inputs
202 (list r-bsgenome))
203 (home-page
204 "https://www.bioconductor.org/packages/BSgenome.Celegans.UCSC.ce10/")
205 (synopsis "Full genome sequences for Worm")
206 (description
207 "This package provides full genome sequences for Caenorhabditis
208 elegans (Worm) as provided by UCSC (ce10, Oct 2010) and stored in Biostrings
209 objects.")
210 (license license:artistic2.0)))
211
212 (define-public r-bsgenome-dmelanogaster-ucsc-dm6
213 (package
214 (name "r-bsgenome-dmelanogaster-ucsc-dm6")
215 (version "1.4.1")
216 (source (origin
217 (method url-fetch)
218 (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm6"
219 version 'annotation))
220 (sha256
221 (base32
222 "1bhj0rdgf7lspw4xby9y9mf7v7jxxz8001bc8vw8kf04rjsx6060"))))
223 (properties
224 `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm6")))
225 (build-system r-build-system)
226 (propagated-inputs
227 (list r-bsgenome))
228 (home-page
229 "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm6/")
230 (synopsis "Full genome sequences for Fly")
231 (description
232 "This package provides full genome sequences for Drosophila
233 melanogaster (Fly) as provided by UCSC (dm6) and stored in Biostrings
234 objects.")
235 (license license:artistic2.0)))
236
237 (define-public r-bsgenome-dmelanogaster-ucsc-dm3
238 (package
239 (name "r-bsgenome-dmelanogaster-ucsc-dm3")
240 (version "1.4.0")
241 (source (origin
242 (method url-fetch)
243 (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm3"
244 version 'annotation))
245 (sha256
246 (base32
247 "19bm3lkhhkag3gnwp419211fh0cnr0x6fa0r1lr0ycwrikxdxsv8"))))
248 (properties
249 `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm3")))
250 (build-system r-build-system)
251 (propagated-inputs
252 (list r-bsgenome))
253 (home-page
254 "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm3/")
255 (synopsis "Full genome sequences for Fly")
256 (description
257 "This package provides full genome sequences for Drosophila
258 melanogaster (Fly) as provided by UCSC (dm3, April 2006) and stored in
259 Biostrings objects.")
260 (license license:artistic2.0)))
261
262 (define-public r-bsgenome-dmelanogaster-ucsc-dm3-masked
263 (package
264 (name "r-bsgenome-dmelanogaster-ucsc-dm3-masked")
265 (version "1.3.99")
266 (source (origin
267 (method url-fetch)
268 (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm3.masked"
269 version 'annotation))
270 (sha256
271 (base32
272 "1756csb09f1br9rj1l3f08qyh4hlymdbd0cfn8x3fq39dn45m5ap"))))
273 (properties
274 `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm3.masked")))
275 (build-system r-build-system)
276 (propagated-inputs
277 (list r-bsgenome r-bsgenome-dmelanogaster-ucsc-dm3))
278 (home-page "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm3.masked/")
279 (synopsis "Full masked genome sequences for Fly")
280 (description
281 "This package provides full masked genome sequences for Drosophila
282 melanogaster (Fly) as provided by UCSC (dm3, April 2006) and stored in
283 Biostrings objects. The sequences are the same as in
284 BSgenome.Dmelanogaster.UCSC.dm3, except that each of them has the 4 following
285 masks on top: (1) the mask of assembly gaps (AGAPS mask), (2) the mask of
286 intra-contig ambiguities (AMB mask), (3) the mask of repeats from
287 RepeatMasker (RM mask), and (4) the mask of repeats from Tandem Repeats
288 Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by default.")
289 (license license:artistic2.0)))
290
291 (define-public r-bsgenome-drerio-ucsc-danrer11
292 (package
293 (name "r-bsgenome-drerio-ucsc-danrer11")
294 (version "1.4.2")
295 (source
296 (origin
297 (method url-fetch)
298 (uri (bioconductor-uri "BSgenome.Drerio.UCSC.danRer11"
299 version 'annotation))
300 (sha256
301 (base32 "08a928mqzv2jxngjcs4yr6ni1b9z9al6jdngwi438j8hm41cwk4v"))))
302 (properties `((upstream-name . "BSgenome.Drerio.UCSC.danRer11")))
303 (build-system r-build-system)
304 (propagated-inputs
305 (list r-bsgenome))
306 (home-page "https://bioconductor.org/packages/BSgenome.Drerio.UCSC.danRer11")
307 (synopsis "Full genome sequences for Danio rerio (UCSC version danRer11)")
308 (description
309 "This package provides full genome sequences for Danio rerio (Zebrafish)
310 as provided by UCSC (danRer11, May 2017) and stored in Biostrings objects.")
311 (license license:artistic2.0)))
312
313 (define-public r-bsgenome-hsapiens-1000genomes-hs37d5
314 (package
315 (name "r-bsgenome-hsapiens-1000genomes-hs37d5")
316 (version "0.99.1")
317 (source (origin
318 (method url-fetch)
319 (uri (bioconductor-uri "BSgenome.Hsapiens.1000genomes.hs37d5"
320 version 'annotation))
321 (sha256
322 (base32
323 "1cg0g5fqmsvwyw2p9hp2yy4ilk21jkbbrnpgqvb5c36ihjwvc7sr"))))
324 (properties
325 `((upstream-name . "BSgenome.Hsapiens.1000genomes.hs37d5")))
326 (build-system r-build-system)
327 (propagated-inputs
328 (list r-bsgenome))
329 (home-page
330 "https://www.bioconductor.org/packages/BSgenome.Hsapiens.1000genomes.hs37d5/")
331 (synopsis "Full genome sequences for Homo sapiens")
332 (description
333 "This package provides full genome sequences for Homo sapiens from
334 1000genomes phase2 reference genome sequence (hs37d5), based on NCBI GRCh37.")
335 (license license:artistic2.0)))
336
337 (define-public r-bsgenome-hsapiens-ncbi-grch38
338 (package
339 (name "r-bsgenome-hsapiens-ncbi-grch38")
340 (version "1.3.1000")
341 (source
342 (origin
343 (method url-fetch)
344 (uri (bioconductor-uri "BSgenome.Hsapiens.NCBI.GRCh38"
345 version 'annotation))
346 (sha256
347 (base32
348 "0y75qdq578fh6420vbvsbwmdw8jvr3g06qli2h3vj3pxmjykh9c1"))))
349 (properties `((upstream-name . "BSgenome.Hsapiens.NCBI.GRCh38")))
350 (build-system r-build-system)
351 (propagated-inputs (list r-bsgenome))
352 (home-page
353 "https://bioconductor.org/packages/release/data/annotation/html/\
354 BSgenome.Hsapiens.NCBI.GRCh38.html")
355 (synopsis "Full genome sequences for Homo sapiens (GRCh38)")
356 (description
357 "This package provides full genome sequences for Homo sapiens (Human) as
358 provided by NCBI (GRCh38, 2013-12-17) and stored in Biostrings objects.")
359 (license license:artistic2.0)))
360
361 (define-public r-bsgenome-hsapiens-ucsc-hg19-masked
362 (package
363 (name "r-bsgenome-hsapiens-ucsc-hg19-masked")
364 (version "1.3.993")
365 (source
366 (origin
367 (method url-fetch)
368 (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg19.masked"
369 version 'annotation))
370 (sha256
371 (base32 "19533ihgad67bzhavycv6z708012ylz9cw1qdfmk2b7ikf3kiaz9"))))
372 (properties
373 `((upstream-name . "BSgenome.Hsapiens.UCSC.hg19.masked")))
374 (build-system r-build-system)
375 (propagated-inputs
376 (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19))
377 (home-page "https://bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg19.masked/")
378 (synopsis "Full masked genome sequences for Homo sapiens")
379 (description
380 "This package provides full genome sequences for Homo sapiens (Human) as
381 provided by UCSC (hg19, Feb. 2009) and stored in Biostrings objects. The
382 sequences are the same as in BSgenome.Hsapiens.UCSC.hg19, except that each of
383 them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS
384 mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of
385 repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem
386 Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by
387 default.")
388 (license license:artistic2.0)))
389
390 (define-public r-bsgenome-mmusculus-ucsc-mm9
391 (package
392 (name "r-bsgenome-mmusculus-ucsc-mm9")
393 (version "1.4.0")
394 (source (origin
395 (method url-fetch)
396 (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm9"
397 version 'annotation))
398 (sha256
399 (base32
400 "1birqw30g2azimxpnjfzmkphan7x131yy8b9h85lfz5fjdg7841i"))))
401 (properties
402 `((upstream-name . "BSgenome.Mmusculus.UCSC.mm9")))
403 (build-system r-build-system)
404 (propagated-inputs
405 (list r-bsgenome))
406 (home-page
407 "https://www.bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm9/")
408 (synopsis "Full genome sequences for Mouse")
409 (description
410 "This package provides full genome sequences for Mus musculus (Mouse) as
411 provided by UCSC (mm9, July 2007) and stored in Biostrings objects.")
412 (license license:artistic2.0)))
413
414 (define-public r-bsgenome-mmusculus-ucsc-mm9-masked
415 (package
416 (name "r-bsgenome-mmusculus-ucsc-mm9-masked")
417 (version "1.3.99")
418 (source (origin
419 (method url-fetch)
420 (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm9.masked"
421 version 'annotation))
422 (sha256
423 (base32
424 "00bpbm3havqcxr4g63zhllsbpd9q6svgihks7qp7x73nm4gvq7fn"))))
425 (properties
426 `((upstream-name . "BSgenome.Mmusculus.UCSC.mm9.masked")))
427 (build-system r-build-system)
428 (propagated-inputs
429 (list r-bsgenome r-bsgenome-mmusculus-ucsc-mm9))
430 (home-page "https://bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm9.masked/")
431 (synopsis "Full masked genome sequences for Mouse")
432 (description
433 "This package provides full genome sequences for Mus musculus (Mouse) as
434 provided by UCSC (mm9, Jul. 2007) and stored in Biostrings objects. The
435 sequences are the same as in BSgenome.Mmusculus.UCSC.mm9, except that each of
436 them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS
437 mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of
438 repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem
439 Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by
440 default." )
441 (license license:artistic2.0)))
442
443 (define-public r-bsgenome-mmusculus-ucsc-mm10
444 (package
445 (name "r-bsgenome-mmusculus-ucsc-mm10")
446 (version "1.4.0")
447 (source (origin
448 (method url-fetch)
449 (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm10"
450 version 'annotation))
451 (sha256
452 (base32
453 "12s0nm2na9brjad4rn9l7d3db2aj8qa1xvz0y1k7gk08wayb6bkf"))))
454 (properties
455 `((upstream-name . "BSgenome.Mmusculus.UCSC.mm10")))
456 (build-system r-build-system)
457 (propagated-inputs
458 (list r-bsgenome))
459 (home-page
460 "https://www.bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm10/")
461 (synopsis "Full genome sequences for Mouse")
462 (description
463 "This package provides full genome sequences for Mus
464 musculus (Mouse) as provided by UCSC (mm10, December 2011) and stored
465 in Biostrings objects.")
466 (license license:artistic2.0)))
467
468 (define-public r-genomeinfodbdata
469 (package
470 (name "r-genomeinfodbdata")
471 (version "1.2.0")
472 (source (origin
473 (method url-fetch)
474 (uri (bioconductor-uri "GenomeInfoDbData" version 'annotation))
475 (sha256
476 (base32
477 "0di6nlqpsyqf693k2na65ayqldih563x3zfrczpqc5q2hl5kg35c"))))
478 (properties
479 `((upstream-name . "GenomeInfoDbData")))
480 (build-system r-build-system)
481 (home-page "https://bioconductor.org/packages/GenomeInfoDbData")
482 (synopsis "Species and taxonomy ID look up tables for GenomeInfoDb")
483 (description "This package contains data for mapping between NCBI taxonomy
484 ID and species. It is used by functions in the GenomeInfoDb package.")
485 (license license:artistic2.0)))
486
487 (define-public r-go-db
488 (package
489 (name "r-go-db")
490 (version "3.7.0")
491 (source (origin
492 (method url-fetch)
493 (uri (bioconductor-uri "GO.db" version 'annotation))
494 (sha256
495 (base32
496 "0i3wcf5h3n0dawzc1hy0kv74f06j80c47n4p3g3fmrcxlhi3jpa5"))))
497 (properties
498 `((upstream-name . "GO.db")))
499 (build-system r-build-system)
500 (propagated-inputs
501 (list r-annotationdbi))
502 (home-page "https://bioconductor.org/packages/GO.db")
503 (synopsis "Annotation maps describing the entire Gene Ontology")
504 (description
505 "The purpose of this GO.db annotation package is to provide detailed
506 information about the latest version of the Gene Ontologies.")
507 (license license:artistic2.0)))
508
509 (define-public r-homo-sapiens
510 (package
511 (name "r-homo-sapiens")
512 (version "1.3.1")
513 (source (origin
514 (method url-fetch)
515 (uri (bioconductor-uri "Homo.sapiens" version 'annotation))
516 (sha256
517 (base32
518 "151vj7h5p1c8yd5swrchk46z469p135wk50hvkl0nhgndvy0jj01"))))
519 (properties
520 `((upstream-name . "Homo.sapiens")))
521 (build-system r-build-system)
522 (propagated-inputs
523 (list r-genomicfeatures
524 r-go-db
525 r-org-hs-eg-db
526 r-txdb-hsapiens-ucsc-hg19-knowngene
527 r-organismdbi
528 r-annotationdbi))
529 (home-page "https://bioconductor.org/packages/Homo.sapiens/")
530 (synopsis "Annotation package for the Homo.sapiens object")
531 (description
532 "This package contains the Homo.sapiens object to access data from
533 several related annotation packages.")
534 (license license:artistic2.0)))
535
536 (define-public r-mus-musculus
537 (package
538 (name "r-mus-musculus")
539 (version "1.3.1")
540 (source
541 (origin
542 (method url-fetch)
543 (uri (bioconductor-uri "Mus.musculus" version 'annotation))
544 (sha256
545 (base32
546 "143zdf83gbfqhy8jm9df7gzhw5q3a64jrjrxrzjf0zd76j8s8j6y"))))
547 (properties `((upstream-name . "Mus.musculus")))
548 (build-system r-build-system)
549 (propagated-inputs
550 (list r-annotationdbi
551 r-genomicfeatures
552 r-go-db
553 r-org-mm-eg-db
554 r-organismdbi
555 r-txdb-mmusculus-ucsc-mm10-knowngene))
556 (home-page "https://bioconductor.org/packages/Mus.musculus")
557 (synopsis "Annotation package for the Mus.musculus object")
558 (description
559 "This package contains the @code{Mus.musculus} object to access data
560 from several related annotation packages.")
561 (license license:artistic2.0)))
562
563 (define-public r-illuminahumanmethylation450kanno-ilmn12-hg19
564 (package
565 (name "r-illuminahumanmethylation450kanno-ilmn12-hg19")
566 (version "0.6.0")
567 (source
568 (origin
569 (method url-fetch)
570 (uri (bioconductor-uri
571 "IlluminaHumanMethylation450kanno.ilmn12.hg19"
572 version 'annotation))
573 (sha256
574 (base32
575 "059vlxsx3p3fcnywwirahsc6mlk813zpqnbv0jsrag6x5bb8z6r4"))))
576 (properties
577 `((upstream-name
578 . "IlluminaHumanMethylation450kanno.ilmn12.hg19")))
579 (build-system r-build-system)
580 (propagated-inputs (list r-minfi))
581 (home-page
582 "https://bioconductor.org/packages/IlluminaHumanMethylation450kanno.ilmn12.hg19/")
583 (synopsis "Annotation for Illumina's 450k methylation arrays")
584 (description
585 "This package provides manifests and annotation for Illumina's 450k array
586 data.")
587 (license license:artistic2.0)))
588
589 (define-public r-org-ce-eg-db
590 (package
591 (name "r-org-ce-eg-db")
592 (version "3.7.0")
593 (source (origin
594 (method url-fetch)
595 (uri (bioconductor-uri "org.Ce.eg.db" version 'annotation))
596 (sha256
597 (base32
598 "1w5br1ss4ha8wv4v2saj7cmbjc2jw0dyj2f2y269l078z31wcnaz"))))
599 (properties
600 `((upstream-name . "org.Ce.eg.db")))
601 (build-system r-build-system)
602 (propagated-inputs
603 (list r-annotationdbi))
604 (home-page "https://www.bioconductor.org/packages/org.Ce.eg.db/")
605 (synopsis "Genome wide annotation for Worm")
606 (description
607 "This package provides mappings from Entrez gene identifiers to various
608 annotations for the genome of the model worm Caenorhabditis elegans.")
609 (license license:artistic2.0)))
610
611 (define-public r-org-dm-eg-db
612 (package
613 (name "r-org-dm-eg-db")
614 (version "3.7.0")
615 (source (origin
616 (method url-fetch)
617 (uri (bioconductor-uri "org.Dm.eg.db" version 'annotation))
618 (sha256
619 (base32
620 "1pqjrzlyg72bjpy8zsxvaglc7jsv176bnyi87xdajmkvsgxpm7b3"))))
621 (properties
622 `((upstream-name . "org.Dm.eg.db")))
623 (build-system r-build-system)
624 (propagated-inputs
625 (list r-annotationdbi))
626 (home-page "https://www.bioconductor.org/packages/org.Dm.eg.db/")
627 (synopsis "Genome wide annotation for Fly")
628 (description
629 "This package provides mappings from Entrez gene identifiers to various
630 annotations for the genome of the model fruit fly Drosophila melanogaster.")
631 (license license:artistic2.0)))
632
633 (define-public r-org-dr-eg-db
634 (package
635 (name "r-org-dr-eg-db")
636 (version "3.7.0")
637 (source (origin
638 (method url-fetch)
639 (uri (bioconductor-uri "org.Dr.eg.db" version 'annotation))
640 (sha256
641 (base32
642 "1xs5wsbcpy0iwbjyiv7fax57djqc529ai5fk1qfsdcvlja3cpglx"))))
643 (properties
644 `((upstream-name . "org.Dr.eg.db")))
645 (build-system r-build-system)
646 (propagated-inputs
647 (list r-annotationdbi))
648 (home-page "https://www.bioconductor.org/packages/org.Dr.eg.db/")
649 (synopsis "Annotation for Zebrafish")
650 (description
651 "This package provides genome wide annotations for Zebrafish, primarily
652 based on mapping using Entrez Gene identifiers.")
653 (license license:artistic2.0)))
654
655 (define-public r-org-hs-eg-db
656 (package
657 (name "r-org-hs-eg-db")
658 (version "3.14.0")
659 (source (origin
660 (method url-fetch)
661 (uri (bioconductor-uri "org.Hs.eg.db" version 'annotation))
662 (sha256
663 (base32
664 "0mnddv42ll0sc0zxf7hkgilslykbvfn7xgxg1g8qi57q2dmpwb6j"))))
665 (properties
666 `((upstream-name . "org.Hs.eg.db")))
667 (build-system r-build-system)
668 (propagated-inputs
669 (list r-annotationdbi))
670 (home-page "https://www.bioconductor.org/packages/org.Hs.eg.db/")
671 (synopsis "Genome wide annotation for Human")
672 (description
673 "This package contains genome-wide annotations for Human, primarily based
674 on mapping using Entrez Gene identifiers.")
675 (license license:artistic2.0)))
676
677 (define-public r-org-mm-eg-db
678 (package
679 (name "r-org-mm-eg-db")
680 (version "3.7.0")
681 (source (origin
682 (method url-fetch)
683 (uri (bioconductor-uri "org.Mm.eg.db" version 'annotation))
684 (sha256
685 (base32
686 "1i3nvrd3wjigf1rmgxq1p5xxc3p8v02h5gwi62s30rkrsyjjfjxx"))))
687 (properties
688 `((upstream-name . "org.Mm.eg.db")))
689 (build-system r-build-system)
690 (propagated-inputs
691 (list r-annotationdbi))
692 (home-page "https://www.bioconductor.org/packages/org.Mm.eg.db/")
693 (synopsis "Genome wide annotation for Mouse")
694 (description
695 "This package provides mappings from Entrez gene identifiers to various
696 annotations for the genome of the model mouse Mus musculus.")
697 (license license:artistic2.0)))
698
699 (define-public r-bsgenome-hsapiens-ucsc-hg19
700 (package
701 (name "r-bsgenome-hsapiens-ucsc-hg19")
702 (version "1.4.3")
703 (source (origin
704 (method url-fetch)
705 (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg19"
706 version 'annotation))
707 (sha256
708 (base32
709 "06lx7q7i52lg3vkjkqy492z9ianzgi4nhs9m1jrxjjb4hgbnbyjv"))))
710 (properties
711 `((upstream-name . "BSgenome.Hsapiens.UCSC.hg19")))
712 (build-system r-build-system)
713 (propagated-inputs
714 (list r-bsgenome))
715 (home-page
716 "https://www.bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg19/")
717 (synopsis "Full genome sequences for Homo sapiens")
718 (description
719 "This package provides full genome sequences for Homo sapiens as provided
720 by UCSC (hg19, February 2009) and stored in Biostrings objects.")
721 (license license:artistic2.0)))
722
723 (define-public r-bsgenome-hsapiens-ucsc-hg38
724 (package
725 (name "r-bsgenome-hsapiens-ucsc-hg38")
726 (version "1.4.4")
727 (source (origin
728 (method url-fetch)
729 (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg38"
730 version 'annotation))
731 (sha256
732 (base32 "03xmh6q99nqjxz29m6j0ymxlk22jq0nlvpf4a2yhg3hgnxqkakh2"))))
733 (properties
734 `((upstream-name . "BSgenome.Hsapiens.UCSC.hg38")))
735 (build-system r-build-system)
736 (propagated-inputs
737 (list r-bsgenome))
738 (home-page
739 "https://www.bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg38/")
740 (synopsis "Full genome sequences for Homo sapiens")
741 (description
742 "This package provides full genome sequences for Homo sapiens (Human)
743 as provided by UCSC (hg38, Dec. 2013) and stored in Biostrings objects.")
744 (license license:artistic2.0)))
745
746 (define-public r-ensdb-hsapiens-v75
747 (package
748 (name "r-ensdb-hsapiens-v75")
749 (version "2.99.0")
750 (source
751 (origin
752 (method url-fetch)
753 (uri (bioconductor-uri "EnsDb.Hsapiens.v75" version 'annotation))
754 (sha256
755 (base32
756 "0jx6rf6v0j8yr07q3c1h7s121901dc400nm6xaiv4i7kb5czjn9c"))))
757 (properties
758 `((upstream-name . "EnsDb.Hsapiens.v75")))
759 (build-system r-build-system)
760 (propagated-inputs
761 (list r-ensembldb))
762 (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v75")
763 (synopsis "Ensembl based annotation package")
764 (description
765 "This package exposes an annotation database generated from Ensembl.")
766 (license license:artistic2.0)))
767
768 (define-public r-ensdb-hsapiens-v86
769 (package
770 (name "r-ensdb-hsapiens-v86")
771 (version "2.99.0")
772 (source
773 (origin
774 (method url-fetch)
775 (uri (bioconductor-uri "EnsDb.Hsapiens.v86" version 'annotation))
776 (sha256
777 (base32 "1gp7xrzddpvmh2vrcp571wyy00skxgxfl39ksj4h0hm1qay0fb2m"))))
778 (properties `((upstream-name . "EnsDb.Hsapiens.v86")))
779 (build-system r-build-system)
780 (propagated-inputs (list r-ensembldb))
781 (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v86")
782 (synopsis "Ensembl based annotation package")
783 (description "This package exposes an annotation database generated from
784 Ensembl.")
785 (license license:artistic2.0)))
786
787 (define-public r-ensdb-mmusculus-v79
788 (package
789 (name "r-ensdb-mmusculus-v79")
790 (version "2.99.0")
791 (source
792 (origin
793 (method url-fetch)
794 (uri (bioconductor-uri "EnsDb.Mmusculus.v79" version 'annotation))
795 (sha256
796 (base32 "1zpmq7v55if6q9r0h883q9k8l70ym20b01m9hxf121wb256rl9f7"))))
797 (properties `((upstream-name . "EnsDb.Mmusculus.v79")))
798 (build-system r-build-system)
799 (propagated-inputs (list r-ensembldb))
800 (home-page "https://bioconductor.org/packages/EnsDb.Mmusculus.v79")
801 (synopsis "Ensembl based annotation package")
802 (description "This package exposes an annotation database generated from
803 Ensembl.")
804 (license license:artistic2.0)))
805
806 (define-public r-snplocs-hsapiens-dbsnp144-grch37
807 (package
808 (name "r-snplocs-hsapiens-dbsnp144-grch37")
809 (version "0.99.20")
810 (source (origin
811 (method url-fetch)
812 (uri (bioconductor-uri "SNPlocs.Hsapiens.dbSNP144.GRCh37"
813 version 'annotation))
814 (sha256
815 (base32
816 "1z8kx43ki1jvj7ms7pcybakcdimfwr6zpjvspkjmma97bdz093iz"))))
817 (build-system r-build-system)
818 ;; As this package provides little more than a very large data file it
819 ;; doesn't make sense to build substitutes.
820 (arguments `(#:substitutable? #f))
821 (propagated-inputs
822 (list r-biocgenerics
823 r-s4vectors
824 r-iranges
825 r-genomeinfodb
826 r-genomicranges
827 r-bsgenome
828 r-biostrings))
829 (home-page
830 "https://bioconductor.org/packages/SNPlocs.Hsapiens.dbSNP144.GRCh37/")
831 (synopsis "SNP locations for Homo sapiens (dbSNP Build 144)")
832 (description "This package provides SNP locations and alleles for Homo
833 sapiens extracted from NCBI dbSNP Build 144. The source data files used for
834 this package were created by NCBI on May 29-30, 2015, and contain SNPs mapped
835 to reference genome GRCh37.p13. Note that the GRCh37.p13 genome is a
836 patched version of GRCh37. However the patch doesn't alter chromosomes 1-22,
837 X, Y, MT. GRCh37 itself is the same as the hg19 genome from UCSC *except* for
838 the mitochondrion chromosome. Therefore, the SNPs in this package can be
839 injected in @code{BSgenome.Hsapiens.UCSC.hg19} and they will land at the
840 correct position but this injection will exclude chrM (i.e. nothing will be
841 injected in that sequence).")
842 (license license:artistic2.0)))
843
844 (define-public r-txdb-dmelanogaster-ucsc-dm6-ensgene
845 (package
846 (name "r-txdb-dmelanogaster-ucsc-dm6-ensgene")
847 (version "3.12.0")
848 (source
849 (origin
850 (method url-fetch)
851 (uri (bioconductor-uri "TxDb.Dmelanogaster.UCSC.dm6.ensGene"
852 version 'annotation))
853 (sha256
854 (base32
855 "0yij7zyqkmmr13389rs2gfa5anvvw648nnl1kjbsgvyxkggif8q4"))))
856 (properties
857 `((upstream-name . "TxDb.Dmelanogaster.UCSC.dm6.ensGene")))
858 (build-system r-build-system)
859 (propagated-inputs
860 (list r-annotationdbi r-genomicfeatures))
861 (home-page
862 "https://bioconductor.org/packages/TxDb.Dmelanogaster.UCSC.dm6.ensGene")
863 (synopsis "Annotation package for TxDb object(s)")
864 (description
865 "This package exposes an annotation databases generated from UCSC by
866 exposing these as TxDb objects.")
867 (license license:artistic2.0)))
868
869 (define-public r-txdb-hsapiens-ucsc-hg19-knowngene
870 (package
871 (name "r-txdb-hsapiens-ucsc-hg19-knowngene")
872 (version "3.2.2")
873 (source (origin
874 (method url-fetch)
875 (uri (bioconductor-uri "TxDb.Hsapiens.UCSC.hg19.knownGene"
876 version 'annotation))
877 (sha256
878 (base32
879 "1sajhcqqwazgz2lqbik7rd935i7kpnh08zxbp2ra10j72yqy4g86"))))
880 (properties
881 `((upstream-name . "TxDb.Hsapiens.UCSC.hg19.knownGene")))
882 (build-system r-build-system)
883 (propagated-inputs
884 (list r-genomicfeatures))
885 (home-page
886 "https://bioconductor.org/packages/TxDb.Hsapiens.UCSC.hg19.knownGene/")
887 (synopsis "Annotation package for human genome in TxDb format")
888 (description
889 "This package provides an annotation database of Homo sapiens genome
890 data. It is derived from the UCSC hg19 genome and based on the \"knownGene\"
891 track. The database is exposed as a @code{TxDb} object.")
892 (license license:artistic2.0)))
893
894 (define-public r-txdb-hsapiens-ucsc-hg38-knowngene
895 (package
896 (name "r-txdb-hsapiens-ucsc-hg38-knowngene")
897 (version "3.15.0")
898 (source (origin
899 (method url-fetch)
900 (uri (bioconductor-uri "TxDb.Hsapiens.UCSC.hg38.knownGene"
901 version 'annotation))
902 (sha256
903 (base32 "1y9fqhkk5wgny43bxc0j82afy49vz34rblcmcfmwavngdkpnj879"))))
904 (properties
905 `((upstream-name . "TxDb.Hsapiens.UCSC.hg38.knownGene")))
906 (build-system r-build-system)
907 (propagated-inputs
908 (list r-annotationdbi r-genomicfeatures))
909 (home-page
910 "https://bioconductor.org/packages/TxDb.Hsapiens.UCSC.hg38.knownGene/")
911 (synopsis "Annotation package for human genome in TxDb format")
912 (description
913 "This package provides an annotation database of Homo sapiens genome
914 data. It is derived from the UCSC hg38 genome and based on the \"knownGene\"
915 track. The database is exposed as a @code{TxDb} object.")
916 (license license:artistic2.0)))
917
918 (define-public r-txdb-mmusculus-ucsc-mm9-knowngene
919 (package
920 (name "r-txdb-mmusculus-ucsc-mm9-knowngene")
921 (version "3.2.2")
922 (source (origin
923 (method url-fetch)
924 (uri (bioconductor-uri "TxDb.Mmusculus.UCSC.mm9.knownGene"
925 version 'annotation))
926 (sha256
927 (base32
928 "16bjxy00363hf91ik2mqlqls86i07gia72qh92xc3l1ncch61mx2"))))
929 (properties
930 `((upstream-name . "TxDb.Mmusculus.UCSC.mm9.knownGene")))
931 (build-system r-build-system)
932 (propagated-inputs
933 (list r-genomicfeatures r-annotationdbi))
934 (home-page
935 "https://bioconductor.org/packages/TxDb.Mmusculus.UCSC.mm9.knownGene/")
936 (synopsis "Annotation package for mouse genome in TxDb format")
937 (description
938 "This package provides an annotation database of Mouse genome data. It
939 is derived from the UCSC mm9 genome and based on the \"knownGene\" track. The
940 database is exposed as a @code{TxDb} object.")
941 (license license:artistic2.0)))
942
943 (define-public r-txdb-mmusculus-ucsc-mm10-knowngene
944 (package
945 (name "r-txdb-mmusculus-ucsc-mm10-knowngene")
946 (version "3.10.0")
947 (source (origin
948 (method url-fetch)
949 (uri (bioconductor-uri "TxDb.Mmusculus.UCSC.mm10.knownGene"
950 version 'annotation))
951 (sha256
952 (base32
953 "0xs9npnhbwll7p62hibs02y4ac23jchdcr25i6a7qwq1kms82qk9"))))
954 (properties
955 `((upstream-name . "TxDb.Mmusculus.UCSC.mm10.knownGene")))
956 (build-system r-build-system)
957 (propagated-inputs
958 (list r-bsgenome r-genomicfeatures r-annotationdbi))
959 (home-page
960 "https://bioconductor.org/packages/TxDb.Mmusculus.UCSC.mm10.knownGene/")
961 (synopsis "Annotation package for TxDb knownGene object(s) for Mouse")
962 (description
963 "This package loads a TxDb object, which is an R interface to
964 prefabricated databases contained in this package. This package provides
965 the TxDb object of Mouse data as provided by UCSC (mm10, December 2011)
966 based on the knownGene track.")
967 (license license:artistic2.0)))
968
969 (define-public r-txdb-celegans-ucsc-ce6-ensgene
970 (package
971 (name "r-txdb-celegans-ucsc-ce6-ensgene")
972 (version "3.2.2")
973 (source
974 (origin
975 (method url-fetch)
976 (uri (bioconductor-uri "TxDb.Celegans.UCSC.ce6.ensGene"
977 version 'annotation))
978 (sha256
979 (base32
980 "1sgppva33cdy4isj2is8mfalj5gmmkpbkq9w1d83a4agcq31mi90"))))
981 (properties
982 `((upstream-name . "TxDb.Celegans.UCSC.ce6.ensGene")))
983 (build-system r-build-system)
984 (propagated-inputs
985 (list r-annotationdbi r-genomicfeatures))
986 (home-page "https://bioconductor.org/packages/TxDb.Celegans.UCSC.ce6.ensGene/")
987 (synopsis "Annotation package for C elegans TxDb objects")
988 (description
989 "This package exposes a C elegans annotation database generated from UCSC
990 by exposing these as TxDb objects.")
991 (license license:artistic2.0)))
992
993 (define-public r-fdb-infiniummethylation-hg19
994 (package
995 (name "r-fdb-infiniummethylation-hg19")
996 (version "2.2.0")
997 (source (origin
998 (method url-fetch)
999 (uri (bioconductor-uri "FDb.InfiniumMethylation.hg19"
1000 version 'annotation))
1001 (sha256
1002 (base32
1003 "0gq90fvph6kgrpjb89nvzq6hl1k24swn19rgjh5g98l86mja6nk0"))))
1004 (properties
1005 `((upstream-name . "FDb.InfiniumMethylation.hg19")))
1006 (build-system r-build-system)
1007 (propagated-inputs
1008 (list r-biostrings r-genomicfeatures r-annotationdbi r-org-hs-eg-db
1009 r-txdb-hsapiens-ucsc-hg19-knowngene))
1010 (home-page "https://bioconductor.org/packages/FDb.InfiniumMethylation.hg19/")
1011 (synopsis "Compiled HumanMethylation27 and HumanMethylation450 annotations")
1012 (description
1013 "This is an annotation package for Illumina Infinium DNA methylation
1014 probes. It contains the compiled HumanMethylation27 and HumanMethylation450
1015 annotations.")
1016 (license license:artistic2.0)))
1017
1018 (define-public r-illuminahumanmethylationepicmanifest
1019 (package
1020 (name "r-illuminahumanmethylationepicmanifest")
1021 (version "0.3.0")
1022 (source (origin
1023 (method url-fetch)
1024 (uri (bioconductor-uri "IlluminaHumanMethylationEPICmanifest"
1025 version 'annotation))
1026 (sha256
1027 (base32
1028 "0alhjda5g186z8b1nsmnpfswrlj7prdz8mkwx60wkkl6hkcnk6p3"))))
1029 (properties
1030 `((upstream-name . "IlluminaHumanMethylationEPICmanifest")))
1031 (build-system r-build-system)
1032 (propagated-inputs
1033 (list r-minfi))
1034 (home-page "https://bioconductor.org/packages/IlluminaHumanMethylationEPICmanifest/")
1035 (synopsis "Manifest for Illumina's EPIC methylation arrays")
1036 (description
1037 "This is a manifest package for Illumina's EPIC methylation arrays.")
1038 (license license:artistic2.0)))
1039
1040 (define-public r-do-db
1041 (package
1042 (name "r-do-db")
1043 (version "2.9")
1044 (source (origin
1045 (method url-fetch)
1046 (uri (bioconductor-uri "DO.db" version 'annotation))
1047 (sha256
1048 (base32
1049 "10bqqa124l61ivzy4mdd3z3ar9a6537qbxw23pc4y9w8a6dwnavn"))))
1050 (properties
1051 `((upstream-name . "DO.db")))
1052 (build-system r-build-system)
1053 (propagated-inputs
1054 (list r-annotationdbi))
1055 (home-page "https://www.bioconductor.org/packages/DO.db/")
1056 (synopsis "Annotation maps describing the entire Disease Ontology")
1057 (description
1058 "This package provides a set of annotation maps describing the entire
1059 Disease Ontology.")
1060 (license license:artistic2.0)))
1061
1062 (define-public r-hgu133plus2-db
1063 (package
1064 (name "r-hgu133plus2-db")
1065 (version "3.13.0")
1066 (source
1067 (origin
1068 (method url-fetch)
1069 (uri (bioconductor-uri "hgu133plus2.db" version 'annotation))
1070 (sha256
1071 (base32 "0i6cfk7ahql4fcgrq0dai9gkjbsahyzd9iv4lqv1ad58fzkmipnx"))))
1072 (properties `((upstream-name . "hgu133plus2.db")))
1073 (build-system r-build-system)
1074 (propagated-inputs (list r-annotationdbi r-org-hs-eg-db))
1075 (home-page "https://bioconductor.org/packages/hgu133plus2.db")
1076 (synopsis "Affymetrix Affymetrix HG-U133_Plus_2 Array annotation data")
1077 (description
1078 "This package provides Affymetrix HG-U133_Plus_2 array annotation
1079 data (chip hgu133plus2) assembled using data from public repositories.")
1080 (license license:artistic2.0)))
1081
1082 (define-public r-pfam-db
1083 (package
1084 (name "r-pfam-db")
1085 (version "3.15.0")
1086 (source
1087 (origin
1088 (method url-fetch)
1089 (uri (bioconductor-uri "PFAM.db" version 'annotation))
1090 (sha256
1091 (base32 "03vjfb9vx1gxrw1jkq6y4i46qhjj9z2mkdiflglbd6kpfrgnl0z7"))))
1092 (properties `((upstream-name . "PFAM.db")))
1093 (build-system r-build-system)
1094 (propagated-inputs
1095 (list r-annotationdbi))
1096 (home-page "https://bioconductor.org/packages/PFAM.db")
1097 (synopsis "Set of protein ID mappings for PFAM")
1098 (description
1099 "This package provides a set of protein ID mappings for PFAM, assembled
1100 using data from public repositories.")
1101 (license license:artistic2.0)))
1102
1103 (define-public r-phastcons100way-ucsc-hg19
1104 (package
1105 (name "r-phastcons100way-ucsc-hg19")
1106 (version "3.7.2")
1107 (source
1108 (origin
1109 (method url-fetch)
1110 (uri (bioconductor-uri "phastCons100way.UCSC.hg19"
1111 version 'annotation))
1112 (sha256
1113 (base32
1114 "1jmc4k4zgkx5vr2plnidnd9bidlwlb0kr7mjg60cqjw7dq7jl1fa"))))
1115 (properties
1116 `((upstream-name . "phastCons100way.UCSC.hg19")))
1117 (build-system r-build-system)
1118 (propagated-inputs
1119 (list r-bsgenome
1120 r-genomeinfodb
1121 r-genomicranges
1122 r-genomicscores
1123 r-iranges
1124 r-s4vectors))
1125 (home-page "https://bioconductor.org/packages/phastCons100way.UCSC.hg19")
1126 (synopsis "UCSC phastCons conservation scores for hg19")
1127 (description
1128 "This package provides UCSC phastCons conservation scores for the human
1129 genome (hg19) calculated from multiple alignments with other 99 vertebrate
1130 species.")
1131 (license license:artistic2.0)))
1132
1133 \f
1134 ;;; Experiment data
1135
1136 (define-public r-abadata
1137 (package
1138 (name "r-abadata")
1139 (version "1.12.0")
1140 (source (origin
1141 (method url-fetch)
1142 (uri (bioconductor-uri "ABAData" version 'experiment))
1143 (sha256
1144 (base32
1145 "1bmj341xcymlrk02gss5vvrqc4ddas0rdw39lnpsj98hq6n11p5z"))))
1146 (properties
1147 `((upstream-name . "ABAData")))
1148 (build-system r-build-system)
1149 (propagated-inputs
1150 (list r-annotationdbi))
1151 (home-page "https://www.bioconductor.org/packages/ABAData/")
1152 (synopsis "Gene expression in human brain regions from Allen Brain Atlas")
1153 (description
1154 "This package provides the data for the gene expression enrichment
1155 analysis conducted in the package ABAEnrichment. The package includes three
1156 datasets which are derived from the Allen Brain Atlas:
1157
1158 @enumerate
1159 @item Gene expression data from Human Brain (adults) averaged across donors,
1160 @item Gene expression data from the Developing Human Brain pooled into five
1161 age categories and averaged across donors, and
1162 @item a developmental effect score based on the Developing Human Brain
1163 expression data.
1164 @end enumerate
1165
1166 All datasets are restricted to protein coding genes.")
1167 (license license:gpl2+)))
1168
1169 (define-public r-adductdata
1170 (package
1171 (name "r-adductdata")
1172 (version "1.12.0")
1173 (source (origin
1174 (method url-fetch)
1175 (uri (bioconductor-uri "adductData" version 'experiment))
1176 (sha256
1177 (base32 "02r7p1645vhhf7wn5x0aklmf7l97h6fjb8v9mldim4waccmpyg48"))))
1178 (properties `((upstream-name . "adductData")))
1179 (build-system r-build-system)
1180 (propagated-inputs (list r-annotationhub r-experimenthub))
1181 (native-inputs (list r-knitr))
1182 (home-page "https://bioconductor.org/packages/adductData")
1183 (synopsis "Data from untargeted mass spectrometry of modifications to Cys34")
1184 (description
1185 "This package contains data from untargeted @dfn{mass spectrometry} (MS)
1186 of modifications to @dfn{oxidized cysteine} (Cys) 34 in @dfn{human serum
1187 albumin} (HSA).")
1188 (license license:artistic2.0)))
1189
1190 (define-public r-aneufinderdata
1191 (package
1192 (name "r-aneufinderdata")
1193 (version "1.24.0")
1194 (source (origin
1195 (method url-fetch)
1196 (uri (bioconductor-uri "AneuFinderData" version 'experiment))
1197 (sha256
1198 (base32 "0cncb8km0sc2xh95rgnnm38kys5ml0n8gh8cl6x7ls1xh9sm83f7"))))
1199 (build-system r-build-system)
1200 (home-page "https://bioconductor.org/packages/AneuFinderData/")
1201 (synopsis "Data package for @code{AneuFinder}")
1202 (description "This package contains whole-genome single cell sequencing data for
1203 demonstration purposes in the @code{AneuFinder} package.")
1204 (license license:artistic2.0)))
1205
1206 (define-public r-arrmdata
1207 (package
1208 (name "r-arrmdata")
1209 (version "1.32.0")
1210 (source (origin
1211 (method url-fetch)
1212 (uri (bioconductor-uri "ARRmData" version 'experiment))
1213 (sha256
1214 (base32 "1cjzr58426s9z2bwjz3wzlkh52fv0q85cw4gbjnhwakh9sr3dd5p"))))
1215 (properties
1216 `((upstream-name . "ARRmData")))
1217 (build-system r-build-system)
1218 (home-page "https://www.bioconductor.org/packages/ARRmData/")
1219 (synopsis "Example dataset for normalization of Illumina 450k methylation data")
1220 (description
1221 "This package provides raw beta values from 36 samples across 3 groups
1222 from Illumina 450k methylation arrays.")
1223 (license license:artistic2.0)))
1224
1225 (define-public r-bladderbatch
1226 (package
1227 (name "r-bladderbatch")
1228 (version "1.34.0")
1229 (source (origin
1230 (method url-fetch)
1231 (uri (bioconductor-uri "bladderbatch" version
1232 'experiment))
1233 (sha256
1234 (base32
1235 "1dpbaqsqizyi99r0imf5m4lndhhrkyiaqii9bi8rp18fjbjdd72k"))))
1236 (properties `((upstream-name . "bladderbatch")))
1237 (build-system r-build-system)
1238 (propagated-inputs (list r-biobase))
1239 (home-page "https://bioconductor.org/packages/bladderbatch")
1240 (synopsis "Bladder gene expression data illustrating batch effects")
1241 (description
1242 "This package contains microarray gene expression data on 57 bladder samples from
1243 5 batches. The data are used as an illustrative example for the sva package.")
1244 (license license:artistic2.0)))
1245
1246 (define-public r-biscuiteerdata
1247 (package
1248 (name "r-biscuiteerdata")
1249 (version "1.10.0")
1250 (source
1251 (origin
1252 (method url-fetch)
1253 (uri (bioconductor-uri "biscuiteerData" version 'experiment))
1254 (sha256
1255 (base32 "0nda6b8mkv93s513y0xfgxvi7zn8v07jx323ii709rknlncm6qqw"))))
1256 (properties
1257 `((upstream-name . "biscuiteerData")))
1258 (build-system r-build-system)
1259 (propagated-inputs
1260 (list r-annotationhub r-curl r-experimenthub))
1261 (native-inputs (list r-knitr))
1262 (home-page "https://bioconductor.org/packages/biscuiteerData")
1263 (synopsis "Data package for Biscuiteer")
1264 (description
1265 "This package contains default datasets used by the Bioconductor package
1266 biscuiteer.")
1267 (license license:gpl3)))
1268
1269 (define-public r-celldex
1270 (package
1271 (name "r-celldex")
1272 (version "1.6.0")
1273 (source
1274 (origin
1275 (method url-fetch)
1276 (uri (bioconductor-uri "celldex" version 'experiment))
1277 (sha256
1278 (base32 "1fjldmhb9yg6yr3aq5ldvc8xwqw71ix4cdlr53xxckgwljjq7x10"))))
1279 (properties `((upstream-name . "celldex")))
1280 (build-system r-build-system)
1281 (propagated-inputs
1282 (list r-annotationdbi
1283 r-annotationhub
1284 r-delayedarray
1285 r-delayedmatrixstats
1286 r-experimenthub
1287 r-s4vectors
1288 r-summarizedexperiment))
1289 (native-inputs (list r-knitr))
1290 (home-page "https://github.com/LTLA/celldex")
1291 (synopsis "Reference index for cell types")
1292 (description
1293 "This package provides a collection of reference expression datasets with
1294 curated cell type labels, for use in procedures like automated annotation of
1295 single-cell data or deconvolution of bulk RNA-seq.")
1296 (license license:gpl3)))
1297
1298 (define-public r-chromstardata
1299 (package
1300 (name "r-chromstardata")
1301 (version "1.22.0")
1302 (source
1303 (origin
1304 (method url-fetch)
1305 (uri (bioconductor-uri "chromstaRData" version 'experiment))
1306 (sha256
1307 (base32 "1ajwnkibpi01c93nrplxhy6grw8jj5219g4pii4rkan4k5815kv1"))))
1308 (properties `((upstream-name . "chromstaRData")))
1309 (build-system r-build-system)
1310 (home-page "https://bioconductor.org/packages/chromstaRData/")
1311 (synopsis "ChIP-seq data for demonstration purposes")
1312 (description
1313 "This package provides ChIP-seq data for demonstration purposes in the
1314 chromstaR package.")
1315 (license license:gpl3)))
1316
1317 (define-public r-copyhelper
1318 (package
1319 (name "r-copyhelper")
1320 (version "1.28.0")
1321 (source
1322 (origin
1323 (method url-fetch)
1324 (uri (bioconductor-uri "CopyhelpeR" version 'experiment))
1325 (sha256
1326 (base32 "0klrnxck0q14birnpwzkiwmj77hwdn6gazvdg0lqn9y6j5mbkyx1"))))
1327 (properties `((upstream-name . "CopyhelpeR")))
1328 (build-system r-build-system)
1329 (home-page "https://bioconductor.org/packages/CopyhelpeR/")
1330 (synopsis "Helper files for CopywriteR")
1331 (description
1332 "This package contains the helper files that are required to run the
1333 Bioconductor package CopywriteR. It contains pre-assembled 1kb bin GC-content
1334 and mappability files for the reference genomes hg18, hg19, hg38, mm9 and
1335 mm10. In addition, it contains a blacklist filter to remove regions that
1336 display copy number variation. Files are stored as GRanges objects from the
1337 GenomicRanges Bioconductor package.")
1338 (license license:gpl2)))
1339
1340 (define-public r-genelendatabase
1341 (package
1342 (name "r-genelendatabase")
1343 (version "1.32.0")
1344 (source
1345 (origin
1346 (method url-fetch)
1347 (uri (bioconductor-uri "geneLenDataBase" version 'experiment))
1348 (sha256
1349 (base32 "0p4rmd3qszsnyn47mfbk96zfa0bhpyyvsh4ma1ligjrsnmkicsaz"))))
1350 (properties
1351 `((upstream-name . "geneLenDataBase")))
1352 (build-system r-build-system)
1353 (propagated-inputs
1354 (list r-rtracklayer r-genomicfeatures))
1355 (home-page "https://bioconductor.org/packages/geneLenDataBase/")
1356 (synopsis "Lengths of mRNA transcripts for a number of genomes")
1357 (description
1358 "This package provides the lengths of mRNA transcripts for a number of
1359 genomes and gene ID formats, largely based on the UCSC table browser.")
1360 (license license:lgpl2.0+)))
1361
1362 (define-public r-genomationdata
1363 (package
1364 (name "r-genomationdata")
1365 (version "1.28.0")
1366 (source
1367 (origin
1368 (method url-fetch)
1369 (uri (bioconductor-uri "genomationData" version 'experiment))
1370 (sha256
1371 (base32 "0ckdgmarndpz6r0y9sd4nmypzjgivj32w2890yl15xmxkx4397fh"))))
1372 (properties
1373 `((upstream-name . "genomationData")))
1374 (build-system r-build-system)
1375 ;; As this package provides little more than large data files, it doesn't
1376 ;; make sense to build substitutes.
1377 (arguments `(#:substitutable? #f))
1378 (native-inputs
1379 (list r-knitr))
1380 (home-page "https://bioinformatics.mdc-berlin.de/genomation/")
1381 (synopsis "Experimental data for use with the genomation package")
1382 (description
1383 "This package contains experimental genetic data for use with the
1384 genomation package. Included are Chip Seq, Methylation and Cage data,
1385 downloaded from Encode.")
1386 (license license:gpl3+)))
1387
1388 (define-public r-macrophage
1389 (package
1390 (name "r-macrophage")
1391 (version "1.12.0")
1392 (source (origin
1393 (method url-fetch)
1394 (uri (bioconductor-uri "macrophage" version
1395 'experiment))
1396 (sha256
1397 (base32
1398 "0ml8v92w021fmzsn4yl90ap3l4l3b9c1pk8pzsrm122p82wzlyms"))))
1399 (properties `((upstream-name . "macrophage")))
1400 (build-system r-build-system)
1401 (native-inputs (list r-knitr))
1402 (home-page "https://bioconductor.org/packages/macrophage")
1403 (synopsis "Human macrophage immune response data")
1404 (description
1405 "This package provides the output of running @code{Salmon} on a set of 24
1406 RNA-seq samples from Alasoo, et al. \"Shared genetic effects on chromatin and
1407 gene expression indicate a role for enhancer priming in immune response\", published
1408 in Nature Genetics, January 2018.")
1409 (license license:gpl2+)))
1410
1411 (define-public r-msdata
1412 (package
1413 (name "r-msdata")
1414 (version "0.36.0")
1415 (source
1416 (origin
1417 (method url-fetch)
1418 (uri (bioconductor-uri "msdata" version 'experiment))
1419 (sha256
1420 (base32 "0nqb7d7fa9l15bxy3s9wmy2h79jb6ldwww0hzk5mifabacmzx691"))))
1421 (properties `((upstream-name . "msdata")))
1422 (build-system r-build-system)
1423 (home-page "https://bioconductor.org/packages/msdata")
1424 (synopsis "Various Mass Spectrometry raw data example files")
1425 (description
1426 "This package provides Ion Trap positive ionization mode data in mzML file
1427 format. It includes a subset from 500-850 m/z and 1190-1310 seconds,
1428 including MS2 and MS3, intensity threshold 100.000; extracts from FTICR Apex
1429 III, m/z 400-450; a subset of UPLC - Bruker micrOTOFq data, both mzML and mz5;
1430 LC-MSMS and MRM files from proteomics experiments; and PSI mzIdentML example
1431 files for various search engines.")
1432 (license license:gpl2+)))
1433
1434 (define-public r-pasilla
1435 (package
1436 (name "r-pasilla")
1437 (version "1.24.0")
1438 (source
1439 (origin
1440 (method url-fetch)
1441 (uri (bioconductor-uri "pasilla" version 'experiment))
1442 (sha256
1443 (base32 "1vsxh7mv2krkbdqs5gsgjsxarjbll0bpyk94syrwh56z67n7jyib"))))
1444 (build-system r-build-system)
1445 (propagated-inputs (list r-dexseq))
1446 (native-inputs (list r-knitr))
1447 (home-page "https://www.bioconductor.org/packages/pasilla/")
1448 (synopsis "Data package with per-exon and per-gene read counts")
1449 (description "This package provides per-exon and per-gene read counts
1450 computed for selected genes from RNA-seq data that were presented in the
1451 article 'Conservation of an RNA regulatory map between Drosophila and mammals'
1452 by Brooks et al., Genome Research 2011.")
1453 (license license:lgpl2.1+)))
1454
1455 (define-public r-hsmmsinglecell
1456 (package
1457 (name "r-hsmmsinglecell")
1458 (version "1.16.0")
1459 (source
1460 (origin
1461 (method url-fetch)
1462 (uri (bioconductor-uri "HSMMSingleCell" version 'experiment))
1463 (sha256
1464 (base32 "12whx0pl9461xbak5r9zi6ggx5is8sk6mgrbjwlmx3mbr9am116v"))))
1465 (properties
1466 `((upstream-name . "HSMMSingleCell")))
1467 (build-system r-build-system)
1468 (home-page "https://www.bioconductor.org/packages/HSMMSingleCell/")
1469 (synopsis "Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts (HSMM)")
1470 (description
1471 "Skeletal myoblasts undergo a well-characterized sequence of
1472 morphological and transcriptional changes during differentiation. In this
1473 experiment, primary @dfn{human skeletal muscle myoblasts} (HSMM) were expanded
1474 under high mitogen conditions (GM) and then differentiated by switching to
1475 low-mitogen media (DM). RNA-Seq libraries were sequenced from each of several
1476 hundred cells taken over a time-course of serum-induced differentiation.
1477 Between 49 and 77 cells were captured at each of four time points (0, 24, 48,
1478 72 hours) following serum switch using the Fluidigm C1 microfluidic system.
1479 RNA from each cell was isolated and used to construct mRNA-Seq libraries,
1480 which were then sequenced to a depth of ~4 million reads per library,
1481 resulting in a complete gene expression profile for each cell.")
1482 (license license:artistic2.0)))
1483
1484 (define-public r-all
1485 (package
1486 (name "r-all")
1487 (version "1.38.0")
1488 (source
1489 (origin
1490 (method url-fetch)
1491 (uri (bioconductor-uri "ALL" version 'experiment))
1492 (sha256
1493 (base32 "0410045x327wmfkksshd8yishw4yxij08vn8p65cdj7hb3qy3p0z"))))
1494 (properties `((upstream-name . "ALL")))
1495 (build-system r-build-system)
1496 (propagated-inputs
1497 (list r-biobase))
1498 (home-page "https://bioconductor.org/packages/ALL")
1499 (synopsis "Acute Lymphoblastic Leukemia data from the Ritz laboratory")
1500 (description
1501 "The data consist of microarrays from 128 different individuals with
1502 @dfn{acute lymphoblastic leukemia} (ALL). A number of additional covariates
1503 are available. The data have been normalized (using rma) and it is the
1504 jointly normalized data that are available here. The data are presented in
1505 the form of an @code{exprSet} object.")
1506 (license license:artistic2.0)))
1507
1508 (define-public r-affydata
1509 (package
1510 (name "r-affydata")
1511 (version "1.44.0")
1512 (source
1513 (origin
1514 (method url-fetch)
1515 (uri (bioconductor-uri "affydata" version 'experiment))
1516 (sha256
1517 (base32 "1d8ims7hks536v739r5hhfkkzyzqrf398aqal3hzyfm0psv15jbp"))))
1518 (properties `((upstream-name . "affydata")))
1519 (build-system r-build-system)
1520 (propagated-inputs
1521 (list r-affy))
1522 (home-page "https://bioconductor.org/packages/affydata/")
1523 (synopsis "Affymetrix data for demonstration purposes")
1524 (description
1525 "This package provides example datasets that represent 'real world
1526 examples' of Affymetrix data, unlike the artificial examples included in the
1527 package @code{affy}.")
1528 (license license:gpl2+)))
1529
1530 (define-public r-gagedata
1531 (package
1532 (name "r-gagedata")
1533 (version "2.34.0")
1534 (source
1535 (origin
1536 (method url-fetch)
1537 (uri (bioconductor-uri "gageData" version 'experiment))
1538 (sha256
1539 (base32 "00s2aig9r0bvk45brc0shildrgl2z0i0k8xlvqc9h1s274nnslk9"))))
1540 (properties `((upstream-name . "gageData")))
1541 (build-system r-build-system)
1542 (home-page "https://bioconductor.org/packages/gageData")
1543 (synopsis "Auxiliary data for the gage package")
1544 (description
1545 "This is a supportive data package for the software package @code{gage}.
1546 However, the data supplied here are also useful for gene set or pathway
1547 analysis or microarray data analysis in general. In this package, we provide
1548 two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and
1549 BMP6 (originally published as an demo dataset for GAGE, also registered as
1550 GSE13604 in GEO). This package also includes commonly used gene set data based
1551 on KEGG pathways and GO terms for major research species, including human,
1552 mouse, rat and budding yeast. Mapping data between common gene IDs for budding
1553 yeast are also included.")
1554 (license license:gpl2+)))
1555
1556 (define-public r-curatedtcgadata
1557 (package
1558 (name "r-curatedtcgadata")
1559 (version "1.18.0")
1560 (source
1561 (origin
1562 (method url-fetch)
1563 (uri (bioconductor-uri "curatedTCGAData" version 'experiment))
1564 (sha256
1565 (base32 "0h3mpwy6lhyn8hfry13sdjgb35gqyi3g26igfjqzshc5wvsniwpr"))))
1566 (properties
1567 `((upstream-name . "curatedTCGAData")))
1568 (build-system r-build-system)
1569 (propagated-inputs
1570 (list r-annotationhub
1571 r-experimenthub
1572 r-hdf5array
1573 r-multiassayexperiment
1574 r-s4vectors
1575 r-summarizedexperiment))
1576 (native-inputs (list r-knitr))
1577 (home-page "https://bioconductor.org/packages/curatedTCGAData/")
1578 (synopsis "Curated data from The Cancer Genome Atlas")
1579 (description
1580 "This package provides publicly available data from The Cancer Genome
1581 Atlas (TCGA) as @code{MultiAssayExperiment} objects.
1582 @code{MultiAssayExperiment} integrates multiple assays (e.g., RNA-seq, copy
1583 number, mutation, microRNA, protein, and others) with clinical / pathological
1584 data. It also links assay barcodes with patient identifiers, enabling
1585 harmonized subsetting of rows (features) and columns (patients / samples)
1586 across the entire multi-'omics experiment.")
1587 (license license:artistic2.0)))
1588
1589 (define-public r-parathyroidse
1590 (package
1591 (name "r-parathyroidse")
1592 (version "1.34.0")
1593 (source (origin
1594 (method url-fetch)
1595 (uri (bioconductor-uri "parathyroidSE" version
1596 'experiment))
1597 (sha256
1598 (base32
1599 "1h33x55c4gbzmh085skqif04wdcvjp2l9fm55qzwws27kwd30c16"))))
1600 (properties `((upstream-name . "parathyroidSE")))
1601 (build-system r-build-system)
1602 (propagated-inputs (list r-summarizedexperiment))
1603 (home-page "https://bioconductor.org/packages/parathyroidSE")
1604 (synopsis "RangedSummarizedExperiment for RNA-Seq of parathyroid tumors")
1605 (description
1606 "This package provides @code{RangedSummarizedExperiment} objects of read
1607 counts in genes and exonic parts for paired-end RNA-Seq data from experiments on
1608 primary cultures of parathyroid tumors. The sequencing was performed on tumor
1609 cultures from 4 patients at 2 time points over 3 conditions (DPN, OHT and control).")
1610 ;; The author(s) mentions only LGPL without any specific version.
1611 (license license:lgpl2.1+)))
1612
1613 (define-public r-tcgabiolinksgui-data
1614 (package
1615 (name "r-tcgabiolinksgui-data")
1616 (version "1.16.0")
1617 (source
1618 (origin
1619 (method url-fetch)
1620 (uri (bioconductor-uri "TCGAbiolinksGUI.data" version 'experiment))
1621 (sha256
1622 (base32 "1mb2z59acs1pi1gqvgjyh62wnmbxskc5l0p42gpjajsjip5x1x7g"))))
1623 (properties `((upstream-name . "TCGAbiolinksGUI.data")))
1624 (build-system r-build-system)
1625 (native-inputs (list r-knitr))
1626 (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data")
1627 (synopsis "Data for the TCGAbiolinksGUI package")
1628 (description "This package provides supporting data for the
1629 TCGAbiolinksGUI package.")
1630 (license license:gpl3)))
1631
1632 (define-public r-tximportdata
1633 (package
1634 (name "r-tximportdata")
1635 (version "1.24.0")
1636 (source (origin
1637 (method url-fetch)
1638 (uri (bioconductor-uri "tximportData" version
1639 'experiment))
1640 (sha256
1641 (base32
1642 "0mgbwpybg2xd6x1ijrflmjh5w63qz6ylnzszbbyp437n618m7riy"))))
1643 (properties `((upstream-name . "tximportData")))
1644 (build-system r-build-system)
1645 (native-inputs (list r-knitr))
1646 (home-page "https://bioconductor.org/packages/tximportData")
1647 (synopsis "Data for the tximport package")
1648 (description
1649 "This package provides the output of running various transcript abundance
1650 quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project. The
1651 quantifiers were @code{Cufflinks}, @code{RSEM}, @code{kallisto}, @code{Salmon}
1652 and @code{Sailfish}. Alevin example output is also included.")
1653 (license license:gpl2+)))
1654
1655
1656 \f
1657 ;;; Packages
1658
1659 (define-public r-abarray
1660 (package
1661 (name "r-abarray")
1662 (version "1.64.0")
1663 (source (origin
1664 (method url-fetch)
1665 (uri (bioconductor-uri "ABarray" version))
1666 (sha256
1667 (base32
1668 "0kjq00i2mb21xyjjs3jy09ps80f11cy37wywzjvmxyjxzbsk4d7r"))))
1669 (properties `((upstream-name . "ABarray")))
1670 (build-system r-build-system)
1671 (propagated-inputs (list r-biobase r-multtest))
1672 (home-page "https://bioconductor.org/packages/ABarray")
1673 (synopsis
1674 "Gene expression analysis for Applied Biosystems Genome Survey Microarray")
1675 (description
1676 "The package @code{ABarray} is designed to work with Applied Biosystems
1677 whole genome microarray platform, as well as any other platform whose data can
1678 be transformed into expression data matrix. Functions include data
1679 preprocessing, filtering, control probe analysis, statistical analysis in one
1680 single function. A @dfn{graphical user interface} (GUI) is also provided. The
1681 raw data, processed data, graphics output and statistical results are organized
1682 into folders according to the analysis settings used.")
1683 (license license:gpl2+)))
1684
1685 (define-public r-absseq
1686 (package
1687 (name "r-absseq")
1688 (version "1.50.0")
1689 (source (origin
1690 (method url-fetch)
1691 (uri (bioconductor-uri "ABSSeq" version))
1692 (sha256
1693 (base32
1694 "1kwl0gcqwbgblwvpbvqlgnsi91km77j11f0q1f0gd6hhnv38mmlv"))))
1695 (properties `((upstream-name . "ABSSeq")))
1696 (build-system r-build-system)
1697 (propagated-inputs (list r-limma r-locfit))
1698 (home-page "https://bioconductor.org/packages/ABSSeq")
1699 (synopsis
1700 "RNA-Seq analysis based on modelling absolute expression differences")
1701 (description
1702 "This package implements a new RNA-Seq analysis method and integrates two
1703 modules: a basic model for pairwise comparison and a linear model for complex
1704 design. RNA-Seq quantifies gene expression with reads count, which usually
1705 consists of conditions (or treatments) and several replicates for each
1706 condition. This software infers differential expression directly by the
1707 counts difference between conditions. It assumes that the sum counts
1708 difference between conditions follow a negative binomial distribution. In
1709 addition, @code{ABSSeq} moderates the fold-changes by two steps: the
1710 expression level and gene-specific dispersion, that might facilitate the gene
1711 ranking by fold-change and visualization.")
1712 (license license:gpl3+)))
1713
1714 (define-public r-adam
1715 (package
1716 (name "r-adam")
1717 (version "1.12.0")
1718 (source (origin
1719 (method url-fetch)
1720 (uri (bioconductor-uri "ADAM" version))
1721 (sha256
1722 (base32
1723 "1cgcjykik9hjrwlvvgaccprcrimgq5kwh9cj6367yk9m574a4gmn"))))
1724 (properties `((upstream-name . "ADAM")))
1725 (build-system r-build-system)
1726 (propagated-inputs (list r-dplyr
1727 r-dt
1728 r-go-db
1729 r-keggrest
1730 r-knitr
1731 r-pbapply
1732 r-rcpp
1733 r-stringr
1734 r-summarizedexperiment))
1735 (native-inputs (list r-knitr))
1736 (home-page "https://bioconductor.org/packages/ADAM")
1737 (synopsis "Gene activity and diversity analysis module")
1738 (description
1739 "This software @code{ADAM} is a @dfn{Gene set enrichment analysis} (GSEA)
1740 package created to group a set of genes from comparative samples (control
1741 versus experiment) belonging to different species according to their respective
1742 functions. The corresponding roles are extracted from the default collections
1743 like Gene ontology and @dfn{Kyoto encyclopedia of genes and genomes} (KEGG).
1744 @code{ADAM} show their significance by calculating the p-values referring to
1745 gene diversity and activity. Each group of genes is called @dfn{Group of
1746 functionally associated genes} (GFAG).")
1747 (license license:gpl2+)))
1748
1749 (define-public r-adamgui
1750 (package
1751 (name "r-adamgui")
1752 (version "1.12.0")
1753 (source (origin
1754 (method url-fetch)
1755 (uri (bioconductor-uri "ADAMgui" version))
1756 (sha256
1757 (base32
1758 "0vvd5qdwkfcr7zg7z63x3vvrcg63r6c9p383yvcg2lp8zmx8hsbs"))))
1759 (properties `((upstream-name . "ADAMgui")))
1760 (build-system r-build-system)
1761 (propagated-inputs
1762 (list r-adam
1763 r-colorramps
1764 r-data-table
1765 r-dplyr
1766 r-dt
1767 r-ggplot2
1768 r-ggpubr
1769 r-ggrepel
1770 r-ggsignif
1771 r-go-db
1772 r-gridextra
1773 r-knitr
1774 r-rcolorbrewer
1775 r-reshape2
1776 r-shiny
1777 r-shinyjs
1778 r-stringi
1779 r-stringr
1780 r-testthat
1781 r-varhandle))
1782 (native-inputs (list r-knitr))
1783 (home-page "https://bioconductor.org/packages/ADAMgui/")
1784 (synopsis "GUI for gene activity and diversity analysis")
1785 (description
1786 "This package @code{ADAMgui} is a @dfn{graphical user interface} (GUI)
1787 for the @code{ADAM} package. The @code{ADAMgui} package provides two
1788 shiny-based applications that allows the user to study the output of the
1789 @code{ADAM} package files through different plots. It's possible, for
1790 example, to choose a specific @dfn{group of functionally associated
1791 genes} (GFAG) and observe the gene expression behavior with the plots created
1792 with the @code{GFAGtargetUi} function. Features such as differential
1793 expression and fold change can be easily seen with aid of the plots made with
1794 the @code{GFAGpathUi} function.")
1795 (license license:gpl2+)))
1796
1797 (define-public r-adimpute
1798 (package
1799 (name "r-adimpute")
1800 (version "1.6.0")
1801 (source (origin
1802 (method url-fetch)
1803 (uri (bioconductor-uri "ADImpute" version))
1804 (sha256
1805 (base32
1806 "0885kd8mpmwjpzpx14pi6l3mqcvsixk10vkf5h4sqb7di0nnna4w"))))
1807 (properties `((upstream-name . "ADImpute")))
1808 (build-system r-build-system)
1809 (propagated-inputs
1810 (list r-biocparallel
1811 r-checkmate
1812 r-data-table
1813 r-drimpute
1814 r-kernlab
1815 r-mass
1816 r-matrix
1817 r-rsvd
1818 r-s4vectors
1819 r-saver
1820 r-singlecellexperiment
1821 r-summarizedexperiment))
1822 (native-inputs (list r-knitr))
1823 (home-page "https://bioconductor.org/packages/ADImpute")
1824 (synopsis "Adaptive computational prediction for dropout imputations")
1825 (description
1826 "@dfn{Single-cell RNA sequencing} (scRNA-seq) methods are typically
1827 unable to quantify the expression levels of all genes in a cell, creating a
1828 need for the computational prediction of missing values (dropout imputation).
1829 Most existing dropout imputation methods are limited in the sense that they
1830 exclusively use the scRNA-seq dataset at hand and do not exploit external
1831 gene-gene relationship information. The @code{ADImpute} package proposes two
1832 methods to address this issue:
1833
1834 @enumerate
1835 @item a gene regulatory network-based approach using gene-gene relationships
1836 learnt from external data;
1837 @item a baseline approach corresponding to a sample-wide average.
1838 @end enumerate
1839
1840 @code{ADImpute} implements these novel methods and also combines them with
1841 existing imputation methods like @code{DrImpute} and @code{SAVER}.
1842 @code{ADImpute} can learn the best performing method per gene and combine the
1843 results from different methods into an ensemble.")
1844 (license license:gpl3+)))
1845
1846 (define-public r-adsplit
1847 (package
1848 (name "r-adsplit")
1849 (version "1.66.0")
1850 (source (origin
1851 (method url-fetch)
1852 (uri (bioconductor-uri "adSplit" version))
1853 (sha256
1854 (base32
1855 "1wl2gd0b7krf485clw67cxayp0g9argklkzn8nw1vrkil0vvr4jm"))))
1856 (properties `((upstream-name . "adSplit")))
1857 (build-system r-build-system)
1858 (propagated-inputs
1859 (list r-annotationdbi
1860 r-biobase
1861 r-cluster
1862 r-go-db
1863 r-keggrest
1864 r-multtest))
1865 (home-page "https://compdiag.molgen.mpg.de/software/adSplit.shtml")
1866 (synopsis "Annotation-driven splits in microarray data")
1867 (description
1868 "This package implements clustering of microarray gene expression
1869 profiles according to functional annotations. For each term genes are
1870 annotated to, splits into two subclasses are computed and a significance of
1871 the supporting gene set is determined.")
1872 (license license:gpl2+)))
1873
1874 (define-public r-affixcan
1875 (package
1876 (name "r-affixcan")
1877 (version "1.14.0")
1878 (source (origin
1879 (method url-fetch)
1880 (uri (bioconductor-uri "AffiXcan" version))
1881 (sha256
1882 (base32
1883 "0wj9shzmlxpksbxny571xzfcmmqqzjlk1vq4mx1is2r6ma7jkblq"))))
1884 (properties `((upstream-name . "AffiXcan")))
1885 (build-system r-build-system)
1886 (propagated-inputs
1887 (list r-biocparallel
1888 r-crayon
1889 r-multiassayexperiment
1890 r-summarizedexperiment))
1891 (native-inputs (list r-knitr))
1892 (home-page "https://bioconductor.org/packages/AffiXcan")
1893 (synopsis "Functional approach to impute genetically regulated expression")
1894 (description
1895 "The @code{AffiXcan} package imputes a @dfn{genetically regulated
1896 expression} (GReX) for a set of genes in a sample of individuals, using a
1897 method based on the @dfn{total binding affinity} (TBA). Statistical models to
1898 impute GReX can be trained with a training dataset where the real total
1899 expression values are known.")
1900 (license license:gpl3)))
1901
1902 (define-public r-affyrnadegradation
1903 (package
1904 (name "r-affyrnadegradation")
1905 (version "1.42.0")
1906 (source (origin
1907 (method url-fetch)
1908 (uri (bioconductor-uri "AffyRNADegradation" version))
1909 (sha256
1910 (base32
1911 "16akwmpzwxai7ks5bvc1yyb9sx2scv9b9gas5avb0sk5fk0h3nsf"))))
1912 (properties `((upstream-name . "AffyRNADegradation")))
1913 (build-system r-build-system)
1914 (propagated-inputs (list r-affy))
1915 (home-page "https://bioconductor.org/packages/AffyRNADegradation")
1916 (synopsis
1917 "Analyze and correct probe positional bias in data due to RNA degradation")
1918 (description
1919 "The @code{AffyRNADegradation} package helps with the assessment and
1920 correction of RNA degradation effects in Affymetrix 3 expression arrays. The
1921 parameter @code{d} gives a robust and accurate measure of RNA integrity. The
1922 correction removes the probe positional bias, and thus improves comparability
1923 of samples that are affected by RNA degradation.")
1924 ;; the R file header specifies GPL2 or later
1925 (license license:gpl2+)))
1926
1927 (define-public r-agdex
1928 (package
1929 (name "r-agdex")
1930 (version "1.44.0")
1931 (source (origin
1932 (method url-fetch)
1933 (uri (bioconductor-uri "AGDEX" version))
1934 (sha256
1935 (base32
1936 "0c44fw5ajdjc13409rn3lsv0jhlqa2qcak9b1k8hpig486xxzsr9"))))
1937 (properties `((upstream-name . "AGDEX")))
1938 (build-system r-build-system)
1939 (propagated-inputs (list r-biobase r-gseabase))
1940 (home-page "https://bioconductor.org/packages/AGDEX")
1941 (synopsis
1942 "Evaluate agreement of differential expression for cross-species genomics")
1943 (description
1944 "The objective of @code{AGDEX} is to evaluate whether the results of a
1945 pair of two-group differential expression analysis comparisons show a level of
1946 agreement that is greater than expected if the group labels for each two-group
1947 comparison are randomly assigned. The agreement is evaluated for the entire
1948 transcriptome and (optionally) for a collection of pre-defined gene-sets.
1949 Additionally, the procedure performs permutation-based differential expression
1950 and meta analysis at both gene and gene-set levels of the data from each
1951 experiment.")
1952 (license license:gpl2+)))
1953
1954 (define-public r-aggregatebiovar
1955 (package
1956 (name "r-aggregatebiovar")
1957 (version "1.6.0")
1958 (source (origin
1959 (method url-fetch)
1960 (uri (bioconductor-uri "aggregateBioVar" version))
1961 (sha256
1962 (base32
1963 "0ngg12bgr95m4wm12scmrb55dgy4909c6qrg169l6dkng99v4nx1"))))
1964 (properties `((upstream-name . "aggregateBioVar")))
1965 (build-system r-build-system)
1966 (propagated-inputs
1967 (list r-matrix
1968 r-rlang
1969 r-s4vectors
1970 r-singlecellexperiment
1971 r-summarizedexperiment
1972 r-tibble))
1973 (native-inputs (list r-knitr))
1974 (home-page "https://github.com/jasonratcliff/aggregateBioVar")
1975 (synopsis "Differential gene expression analysis for multi-subject scRNA-seq")
1976 (description
1977 "This package @code{aggregateBioVar} contains tools to summarize single
1978 cell gene expression profiles at the level of subject for single cell RNA-seq
1979 data collected from more than one subject (e.g. biological sample or technical
1980 replicates). A @code{SingleCellExperiment} object is taken as input and
1981 converted to a list of @code{SummarizedExperiment} objects, where each list
1982 element corresponds to an assigned cell type. The @code{SummarizedExperiment}
1983 objects contain aggregate gene-by-subject count matrices and inter-subject
1984 column metadata for individual subjects that can be processed using downstream
1985 bulk RNA-seq tools.")
1986 (license license:gpl3)))
1987
1988 (define-public r-agilp
1989 (package
1990 (name "r-agilp")
1991 (version "3.28.0")
1992 (source (origin
1993 (method url-fetch)
1994 (uri (bioconductor-uri "agilp" version))
1995 (sha256
1996 (base32
1997 "1pm329y2nfcnx98ggxq0prdd5pxfcl5iylvsjjnhw5lyz1awg1yf"))))
1998 (properties `((upstream-name . "agilp")))
1999 (build-system r-build-system)
2000 (home-page "https://bioconductor.org/packages/agilp")
2001 (synopsis "Processing of Agilent expression array")
2002 (description
2003 "This package aims to provide a pipeline for the low-level analysis of
2004 gene expression microarray data, primarily focused on the Agilent platform,
2005 but which also provides utilities which may be useful for other platforms.")
2006 ;; Some files are under GPLv2+ but the combined work is released under the
2007 ;; GPLv3.
2008 (license license:gpl3)))
2009
2010 (define-public r-adductomicsr
2011 (package
2012 (name "r-adductomicsr")
2013 (version "1.12.0")
2014 (source (origin
2015 (method url-fetch)
2016 (uri (bioconductor-uri "adductomicsR" version))
2017 (sha256
2018 (base32
2019 "0623qf06xgdsyz0in2wnxwvpdw8kj6cnwf8vlqmgp7g0n3w701ys"))))
2020 (properties `((upstream-name . "adductomicsR")))
2021 (build-system r-build-system)
2022 (propagated-inputs
2023 (list r-adductdata
2024 r-ade4
2025 r-annotationhub
2026 r-bootstrap
2027 r-data-table
2028 r-dosnow
2029 r-dplyr
2030 r-dt
2031 r-experimenthub
2032 r-fastcluster
2033 r-foreach
2034 r-fpc
2035 r-mzr
2036 r-orgmassspecr
2037 r-pastecs
2038 r-pracma
2039 r-rcppeigen
2040 r-reshape2
2041 r-rvest
2042 r-smoother
2043 r-zoo))
2044 (native-inputs (list r-knitr))
2045 (home-page "https://bioconductor.org/packages/adductomicsR")
2046 (synopsis "Processing of adductomic mass spectral datasets")
2047 (description
2048 "This package @code{adductomicsR} processes data generated by the
2049 @dfn{second stage of mass spectrometry} (MS2) to identify potentially adducted
2050 peptides from spectra that has been corrected for mass drift and retention
2051 time drift and quantifies level mass spectral peaks from @dfn{first stage of
2052 mass spectrometry} (MS1) data.")
2053 (license license:artistic2.0)))
2054
2055 (define-public r-agimicrorna
2056 (package
2057 (name "r-agimicrorna")
2058 (version "2.46.0")
2059 (source (origin
2060 (method url-fetch)
2061 (uri (bioconductor-uri "AgiMicroRna" version))
2062 (sha256
2063 (base32
2064 "0jic89gyphbv7jzlfgm9bh1aq48lp86rq6hr34gsg9z0pa1192xa"))))
2065 (properties `((upstream-name . "AgiMicroRna")))
2066 (build-system r-build-system)
2067 (propagated-inputs
2068 (list r-affy
2069 r-affycoretools
2070 r-biobase
2071 r-limma
2072 r-preprocesscore))
2073 (home-page "https://git.bioconductor.org/packages/AgiMicroRna")
2074 (synopsis
2075 "Processing and differential expression analysis of Agilent microRNA chips")
2076 (description
2077 "@code{AgiMicroRna} provides useful functionality for the processing,
2078 quality assessment and differential expression analysis of Agilent microRNA
2079 array data. The package uses a limma-like structure to generate the processed
2080 data in order to make statistical inferences about differential expression
2081 using the linear model features implemented in limma. Standard Bioconductor
2082 objects are used so that other packages could be used as well.")
2083 (license license:gpl3)))
2084
2085 (define-public r-airpart
2086 (package
2087 (name "r-airpart")
2088 (version "1.4.0")
2089 (source (origin
2090 (method url-fetch)
2091 (uri (bioconductor-uri "airpart" version))
2092 (sha256
2093 (base32
2094 "0ljankgvgf8rby4z340wxx8v7acs9yz955p3a40jl6y8rz1svc06"))))
2095 (properties `((upstream-name . "airpart")))
2096 (build-system r-build-system)
2097 (propagated-inputs
2098 (list r-apeglm
2099 r-clue
2100 r-complexheatmap
2101 r-dplyr
2102 r-dynamictreecut
2103 r-emdbook
2104 r-forestplot
2105 r-ggplot2
2106 r-lpsolve
2107 r-matrixstats
2108 r-mclust
2109 r-pbapply
2110 r-plyr
2111 r-rcolorbrewer
2112 r-rlang
2113 r-s4vectors
2114 r-scater
2115 r-singlecellexperiment
2116 r-smurf
2117 r-summarizedexperiment))
2118 (native-inputs (list r-knitr))
2119 (home-page "https://bioconductor.org/packages/airpart")
2120 (synopsis "Differential cell-type-specific allelic imbalance")
2121 (description
2122 "The airpart package identifies sets of genes displaying differential
2123 cell-type-specific allelic imbalance across cell types or states, utilizing
2124 single-cell allelic counts. It makes use of a generalized fused lasso with
2125 binomial observations of allelic counts to partition cell types by their
2126 allelic imbalance. Alternatively, a nonparametric method for partitioning
2127 cell types is offered. The package includes a number of visualizations and
2128 quality control functions for examining single cell allelic imbalance
2129 datasets.")
2130 (license license:gpl2)))
2131
2132 (define-public r-amountain
2133 (package
2134 (name "r-amountain")
2135 (version "1.22.0")
2136 (source (origin
2137 (method url-fetch)
2138 (uri (bioconductor-uri "AMOUNTAIN" version))
2139 (sha256
2140 (base32
2141 "0vdfabsrisdd7qq28f5ivd0v8zz49szqn677i5lhwnlaix220c54"))))
2142 (properties `((upstream-name . "AMOUNTAIN")))
2143 (build-system r-build-system)
2144 (inputs (list gsl))
2145 (native-inputs (list r-knitr))
2146 (home-page "https://bioconductor.org/packages/AMOUNTAIN")
2147 (synopsis "Modules for multilayer weighted gene co-expression networks")
2148 (description
2149 "This package provides a pure data-driven gene network, @dfn{WGCN}(weighted
2150 gene co-expression network) could be constructed only from expression profile.
2151 Different layers in such networks may represent different time points, multiple
2152 conditions or various species. @code{AMOUNTAIN} aims to search active modules
2153 in multi-layer WGCN using a continuous optimization approach.")
2154 (license license:gpl2+)))
2155
2156 (define-public r-amaretto
2157 (package
2158 (name "r-amaretto")
2159 (version "1.12.0")
2160 (source (origin
2161 (method url-fetch)
2162 (uri (bioconductor-uri "AMARETTO" version))
2163 (sha256
2164 (base32
2165 "111dk19b9910icksyr592cvhc5gwvgknr5q4887j9yxbajd7hcmx"))))
2166 (properties `((upstream-name . "AMARETTO")))
2167 (build-system r-build-system)
2168 (propagated-inputs
2169 (list r-biocfilecache
2170 r-callr
2171 r-circlize
2172 r-complexheatmap
2173 r-curatedtcgadata
2174 r-doparallel
2175 r-dplyr
2176 r-dt
2177 r-foreach
2178 r-ggplot2
2179 r-glmnet
2180 r-gridextra
2181 r-httr
2182 r-impute
2183 r-knitr
2184 r-limma
2185 r-matrix
2186 r-matrixstats
2187 r-multiassayexperiment
2188 r-rcpp
2189 r-readr
2190 r-reshape2
2191 r-rmarkdown
2192 r-tibble))
2193 (native-inputs (list r-knitr))
2194 (home-page "https://bioconductor.org/packages/AMARETTO")
2195 (synopsis "Regulatory network inference and driver gene evaluation")
2196 (description
2197 "This package @code{AMARETTO} represents an algorithm that integrates copy
2198 number, DNA methylation and gene expression data to identify a set of driver
2199 genes by analyzing cancer samples and connects them to clusters of co-expressed
2200 genes, which we define as modules. @code{AMARETTO} can be applied in a pancancer
2201 setting to identify cancer driver genes and their modules on multiple cancer
2202 sites. @code{AMARETTO} captures modules enriched in angiogenesis, cell cycle
2203 and EMT, and modules that accurately predict survival and molecular subtypes.
2204 This allows @code{AMARETTO} to identify novel cancer driver genes directing
2205 canonical cancer pathways.")
2206 (license license:asl2.0)))
2207
2208 (define-public r-anaquin
2209 (package
2210 (name "r-anaquin")
2211 (version "2.20.0")
2212 (source (origin
2213 (method url-fetch)
2214 (uri (bioconductor-uri "Anaquin" version))
2215 (sha256
2216 (base32
2217 "1jgpnls2djl1yzvnk64qc83mljmlci7wflwkza3wr0sv6r47b0dd"))))
2218 (properties `((upstream-name . "Anaquin")))
2219 (build-system r-build-system)
2220 (propagated-inputs
2221 (list r-deseq2
2222 r-ggplot2
2223 r-knitr
2224 r-locfit
2225 r-plyr
2226 r-qvalue
2227 r-rocr))
2228 (native-inputs (list r-knitr))
2229 (home-page "https://www.sequinstandards.com/")
2230 (synopsis "Statistical analysis of sequins")
2231 (description
2232 "The project is intended to support the use of @dfn{sequins}(synthetic
2233 sequencing spike-in controls) owned and made available by the Garvan Institute
2234 of Medical Research. The goal is to provide a standard library for quantitative
2235 analysis, modelling, and visualization of spike-in controls.")
2236 (license license:bsd-3)))
2237
2238 (define-public r-aldex2
2239 (package
2240 (name "r-aldex2")
2241 (version "1.28.1")
2242 (source (origin
2243 (method url-fetch)
2244 (uri (bioconductor-uri "ALDEx2" version))
2245 (sha256
2246 (base32
2247 "0xppx52sllbz4pli174422i4kkf37v0yl844088nbj3j9r6pfbj9"))))
2248 (properties `((upstream-name . "ALDEx2")))
2249 (build-system r-build-system)
2250 (propagated-inputs
2251 (list r-biocparallel
2252 r-genomicranges
2253 r-iranges
2254 r-multtest
2255 r-rfast
2256 r-s4vectors
2257 r-summarizedexperiment
2258 r-zcompositions))
2259 (native-inputs (list r-knitr))
2260 (home-page "https://github.com/ggloor/ALDEx_bioc")
2261 (synopsis "Analysis of differential abundance taking sample variation into account")
2262 (description
2263 "This package provides a differential abundance analysis for the
2264 comparison of two or more conditions. Useful for analyzing data from standard
2265 RNA-seq or meta-RNA-seq assays as well as selected and unselected values from
2266 in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer
2267 abundance from counts, optimized for three or more experimental replicates.
2268 The method infers biological and sampling variation to calculate the expected
2269 false discovery rate, given the variation, based on a Wilcoxon Rank Sum test
2270 and Welch's t-test, a Kruskal-Wallis test, a generalized linear model, or a
2271 correlation test. All tests report p-values and Benjamini-Hochberg corrected
2272 p-values. ALDEx2 also calculates expected standardized effect sizes for
2273 paired or unpaired study designs.")
2274 ;; The code for the function "rdirichlet" is from the R package
2275 ;; "mc2d_0.1-14.tar.gz", which is denoted as GPL>=2, and where the
2276 ;; package's LICENSE is specified as GPL-3.
2277 (license (list license:agpl3+ license:gpl2+ license:gpl3))))
2278
2279 (define-public r-alpine
2280 (package
2281 (name "r-alpine")
2282 (version "1.22.0")
2283 (source (origin
2284 (method url-fetch)
2285 (uri (bioconductor-uri "alpine" version))
2286 (sha256
2287 (base32
2288 "1nl1hxwakh5m9rqm3ksn2jzknsj9xnwl51bmc30knknm4q35wdv9"))))
2289 (properties `((upstream-name . "alpine")))
2290 (build-system r-build-system)
2291 (propagated-inputs
2292 (list r-biostrings
2293 r-genomeinfodb
2294 r-genomicalignments
2295 r-genomicfeatures
2296 r-genomicranges
2297 r-graph
2298 r-iranges
2299 r-rbgl
2300 r-rsamtools
2301 r-s4vectors
2302 r-speedglm
2303 r-stringr
2304 r-summarizedexperiment))
2305 (native-inputs (list r-knitr))
2306 (home-page "https://bioconductor.org/packages/alpine")
2307 (synopsis "Modeling and correcting fragment sequence bias")
2308 (description
2309 "The package @code{alpine} helps to model bias parameters and then using
2310 those parameters to estimate RNA-seq transcript abundance. @code{Alpine} is a
2311 package for estimating and visualizing many forms of sample-specific biases that
2312 can arise in RNA-seq, including fragment length distribution, positional bias on
2313 the transcript, read start bias (random hexamer priming), and fragment GC-content
2314 (amplification). It also offers bias-corrected estimates of transcript
2315 abundance in @dfn{FPKM}(Fragments Per Kilobase of transcript per Million
2316 mapped reads). It is currently designed for un-stranded paired-end RNA-seq
2317 data.")
2318 (license license:gpl2+)))
2319
2320 (define-public r-aneufinder
2321 (package
2322 (name "r-aneufinder")
2323 (version "1.24.0")
2324 (source (origin
2325 (method url-fetch)
2326 (uri (bioconductor-uri "AneuFinder" version))
2327 (sha256
2328 (base32
2329 "1acsp987jv2x4qwbgy3y7ff4r2qz7680b0nbr37m4lmncqfgh8yl"))))
2330 (build-system r-build-system)
2331 (native-inputs
2332 (list r-knitr))
2333 (propagated-inputs
2334 (list r-genomicranges
2335 r-aneufinderdata
2336 r-ecp
2337 r-foreach
2338 r-doparallel
2339 r-biocgenerics
2340 r-s4vectors
2341 r-genomeinfodb
2342 r-iranges
2343 r-rsamtools
2344 r-bamsignals
2345 r-dnacopy
2346 r-biostrings
2347 r-genomicalignments
2348 r-ggplot2
2349 r-reshape2
2350 r-ggdendro
2351 r-ggrepel
2352 r-reordercluster
2353 r-mclust
2354 r-cowplot))
2355 (home-page "https://bioconductor.org/packages/AneuFinder/")
2356 (synopsis "Copy number variation analysis in single-cell-sequencing data")
2357 (description "This package implements functions for copy number variant
2358 calling, plotting, export and analysis from whole-genome single cell
2359 sequencing data.")
2360 (license license:artistic2.0)))
2361
2362 (define-public r-anf
2363 (package
2364 (name "r-anf")
2365 (version "1.18.0")
2366 (source (origin
2367 (method url-fetch)
2368 (uri (bioconductor-uri "ANF" version))
2369 (sha256
2370 (base32
2371 "1fa2pbdapymrpz01ws0m2fbzf11d723x6rbsys29v06is57f5lpj"))))
2372 (properties `((upstream-name . "ANF")))
2373 (build-system r-build-system)
2374 (propagated-inputs
2375 (list r-biobase
2376 r-igraph
2377 r-mass
2378 r-rcolorbrewer
2379 r-survival))
2380 (native-inputs (list r-knitr))
2381 (home-page "https://bioconductor.org/packages/ANF")
2382 (synopsis "Affinity network fusion for complex patient clustering")
2383 (description
2384 "The package @dfn{ANF}(Affinity Network Fusion) provides methods for affinity
2385 matrix construction and fusion as well as spectral clustering. This package is
2386 used for complex patient clustering by integrating multi-omic data through affinity
2387 network fusion.")
2388 (license license:gpl3)))
2389
2390 (define-public r-annmap
2391 (package
2392 (name "r-annmap")
2393 (version "1.38.0")
2394 (source (origin
2395 (method url-fetch)
2396 (uri (bioconductor-uri "annmap" version))
2397 (sha256
2398 (base32
2399 "0ywqbb8jia7rrkzcsf6a11kqf8dnx96z8n8xw7067mahycykbixv"))))
2400 (properties `((upstream-name . "annmap")))
2401 (build-system r-build-system)
2402 (propagated-inputs
2403 (list r-biobase
2404 r-biocgenerics
2405 r-dbi
2406 r-digest
2407 r-genefilter
2408 r-genomicranges
2409 r-iranges
2410 r-lattice
2411 r-rmysql
2412 r-rsamtools))
2413 (home-page "https://github.com/cruk-mi/annmap")
2414 (synopsis
2415 "Genome annotation and visualisation for Affymetrix arrays and NGS analysis")
2416 (description
2417 "This package @code{annmap} provides annotation mappings for Affymetrix exon
2418 arrays and coordinate based queries to support deep sequencing data analysis.
2419 Database access is hidden behind the API which provides a set of functions such
2420 as @code{genesInRange()}, @code{geneToExon()}, @code{exonDetails()}, etc.
2421 Functions to plot gene architecture and BAM file data are also provided.")
2422 (license license:gpl2)))
2423
2424 (define-public r-antiprofiles
2425 (package
2426 (name "r-antiprofiles")
2427 (version "1.36.0")
2428 (source (origin
2429 (method url-fetch)
2430 (uri (bioconductor-uri "antiProfiles" version))
2431 (sha256
2432 (base32
2433 "1277kg5xpyb2yriyjy18p437q5lj22h4al7z7pygkzxzywxv9g40"))))
2434 (properties `((upstream-name . "antiProfiles")))
2435 (build-system r-build-system)
2436 (propagated-inputs
2437 (list r-locfit
2438 r-matrixstats))
2439 (home-page "https://github.com/HCBravoLab/antiProfiles")
2440 (synopsis "Implementation of gene expression anti-profiles")
2441 (description
2442 "This package implements the gene expression anti-profiles method.
2443 Anti-profiles are a new approach for developing cancer genomic signatures that
2444 specifically take advantage of gene expression heterogeneity. They explicitly
2445 model increased gene expression variability in cancer to define robust and
2446 reproducible gene expression signatures capable of accurately distinguishing
2447 tumor samples from healthy controls.")
2448 (license license:artistic2.0)))
2449
2450 (define-public r-aseb
2451 (package
2452 (name "r-aseb")
2453 (version "1.40.0")
2454 (source (origin
2455 (method url-fetch)
2456 (uri (bioconductor-uri "ASEB" version))
2457 (sha256
2458 (base32
2459 "1i0r4vimk6is4j4rr14ajp8papznpmmr0bhwd96s8w53cqdqph7p"))))
2460 (properties `((upstream-name . "ASEB")))
2461 (build-system r-build-system)
2462 (home-page "https://bioconductor.org/packages/ASEB")
2463 (synopsis "Predict acetylated lysine sites")
2464 (description
2465 "ASEB is an R package to predict lysine sites that can be acetylated by a
2466 specific @dfn{KAT} (K-acetyl-transferases) family. Lysine acetylation is a
2467 well-studied posttranslational modification on kinds of proteins. About four
2468 thousand lysine acetylation sites and over 20 lysine KATs have been
2469 identified. However, which KAT is responsible for a given protein or lysine
2470 site acetylation is mostly unknown. In this package, we use a
2471 @dfn{GSEA}-like (Gene Set Enrichment Analysis) method to make predictions.
2472 GSEA method was developed and successfully used to detect coordinated
2473 expression changes and find the putative functions of the long non-coding
2474 RNAs.")
2475 (license license:gpl3+)))
2476
2477 (define-public r-asgsca
2478 (package
2479 (name "r-asgsca")
2480 (version "1.30.0")
2481 (source (origin
2482 (method url-fetch)
2483 (uri (bioconductor-uri "ASGSCA" version))
2484 (sha256
2485 (base32
2486 "0mxrrkm2lg7gxjh8ynn6qmryn8wqda7b83sr51dpgblay83jcbaq"))))
2487 (properties `((upstream-name . "ASGSCA")))
2488 (build-system r-build-system)
2489 (propagated-inputs (list r-mass r-matrix))
2490 (home-page "https://bioconductor.org/packages/ASGSCA")
2491 (synopsis "Analysis of associations between multiple genotypes and traits")
2492 (description
2493 "The package @dfn{ASGSCA} (Association Study using Generalized Structured
2494 Component Analysis) provides tools to model and test the association between
2495 multiple genotypes and multiple traits, taking into account the prior
2496 biological knowledge. Genes, and clinical pathways are incorporated in the
2497 model as latent variables.")
2498 (license license:gpl3)))
2499
2500 (define-public r-aspli
2501 (package
2502 (name "r-aspli")
2503 (version "2.6.0")
2504 (source (origin
2505 (method url-fetch)
2506 (uri (bioconductor-uri "ASpli" version))
2507 (sha256
2508 (base32
2509 "1frlcwa8m4imfx6ncav8r8yskyaf4ibha177mfnp9y84w6mphynz"))))
2510 (properties `((upstream-name . "ASpli")))
2511 (build-system r-build-system)
2512 (propagated-inputs
2513 (list r-annotationdbi
2514 r-biocgenerics
2515 r-biocstyle
2516 r-data-table
2517 r-dt
2518 r-edger
2519 r-genomicalignments
2520 r-genomicfeatures
2521 r-genomicranges
2522 r-gviz
2523 r-htmltools
2524 r-igraph
2525 r-iranges
2526 r-limma
2527 r-mass
2528 r-pbmcapply
2529 r-rsamtools
2530 r-s4vectors
2531 r-tidyr
2532 r-upsetr))
2533 (home-page "https://bioconductor.org/packages/ASpli")
2534 (synopsis "Analysis of alternative splicing using RNA-Seq")
2535 (description
2536 "@dfn{AS} (alternative splicing) is a common mechanism of
2537 post-transcriptional gene regulation in eukaryotic organisms that expands the
2538 functional and regulatory diversity of a single gene by generating multiple
2539 mRNA isoforms that encode structurally and functionally distinct proteins.
2540 ASpli is an integrative pipeline and user-friendly R package that facilitates
2541 the analysis of changes in both annotated and novel AS events. ASpli
2542 integrates several independent signals in order to deal with the complexity
2543 that might arise in splicing patterns.")
2544 ;; The authors didn't specify any GPL version in description or in the
2545 ;; sources.
2546 (license (list license:gpl2+ license:gpl3+))))
2547
2548 (define-public r-assessorf
2549 (package
2550 (name "r-assessorf")
2551 (version "1.14.0")
2552 (source (origin
2553 (method url-fetch)
2554 (uri (bioconductor-uri "AssessORF" version))
2555 (sha256
2556 (base32
2557 "1l87bpny9k3jbzbzmb9h2ijvblrj471gqv26fyzbvb3vr6y406z7"))))
2558 (properties `((upstream-name . "AssessORF")))
2559 (build-system r-build-system)
2560 (propagated-inputs
2561 (list r-biostrings
2562 r-decipher
2563 r-genomicranges
2564 r-iranges))
2565 (native-inputs (list r-knitr))
2566 (home-page "https://bioconductor.org/packages/AssessORF")
2567 (synopsis "Assess gene predictions using proteomics and evolutionary conservation")
2568 (description
2569 "In order to assess the quality of a set of predicted genes for a genome,
2570 evidence must first be mapped to that genome. Next, each gene must be
2571 categorized based on how strong the evidence is for or against that gene. The
2572 AssessORF package provides the functions and class structures necessary for
2573 accomplishing those tasks, using proteomics hits and evolutionarily conserved
2574 start codons as the forms of evidence.")
2575 (license license:gpl3)))
2576
2577 (define-public r-asset
2578 (package
2579 (name "r-asset")
2580 (version "2.14.0")
2581 (source (origin
2582 (method url-fetch)
2583 (uri (bioconductor-uri "ASSET" version))
2584 (sha256
2585 (base32
2586 "029acl5k9d4hnvy3jia9cr4rk6w31zn8b5s79i6lazq1cp236hbg"))))
2587 (properties `((upstream-name . "ASSET")))
2588 (build-system r-build-system)
2589 (propagated-inputs (list r-mass r-msm r-rmeta))
2590 (native-inputs (list r-knitr))
2591 (home-page "https://bioconductor.org/packages/ASSET")
2592 (synopsis
2593 "Subset-based association analysis of heterogeneous traits and subtypes")
2594 (description
2595 "This package is an R program for the subset-based analysis of
2596 heterogeneous traits and disease subtypes. ASSET allows the user to search
2597 through all possible subsets of z-scores to identify the subset of traits
2598 giving the best meta-analyzed z-score. Further, it returns a p-value
2599 adjusting for the multiple-testing involved in the search. It also allows for
2600 searching for the best combination of disease subtypes associated with each
2601 variant.")
2602 (license license:gpl2)))
2603
2604 (define-public r-atena
2605 (package
2606 (name "r-atena")
2607 (version "1.2.2")
2608 (source (origin
2609 (method url-fetch)
2610 (uri (bioconductor-uri "atena" version))
2611 (sha256
2612 (base32
2613 "0b89wb7cc44c8jd6868dn8pwgid768bprkncsi87qkdz0abbhzhp"))))
2614 (properties `((upstream-name . "atena")))
2615 (build-system r-build-system)
2616 (propagated-inputs
2617 (list r-annotationhub
2618 r-biocgenerics
2619 r-biocparallel
2620 r-genomeinfodb
2621 r-genomicalignments
2622 r-genomicranges
2623 r-iranges
2624 r-matrix
2625 r-rsamtools
2626 r-s4vectors
2627 r-scales
2628 r-sparsematrixstats
2629 r-squarem
2630 r-summarizedexperiment))
2631 (native-inputs (list r-knitr))
2632 (home-page "https://github.com/functionalgenomics/atena")
2633 (synopsis "Analysis of transposable elements")
2634 (description
2635 "The atena package quantifies expression of @dfn{TEs} (transposable
2636 elements) from RNA-seq data through different methods, including ERVmap,
2637 TEtranscripts and Telescope. A common interface is provided to use each of
2638 these methods, which consists of building a parameter object, calling the
2639 quantification function with this object and getting a
2640 @code{SummarizedExperiment} object as an output container of the quantified
2641 expression profiles. The implementation allows quantifing TEs and gene
2642 transcripts in an integrated manner.")
2643 (license license:artistic2.0)))
2644
2645 (define-public r-atsnp
2646 (package
2647 (name "r-atsnp")
2648 (version "1.12.0")
2649 (source (origin
2650 (method url-fetch)
2651 (uri (bioconductor-uri "atSNP" version))
2652 (sha256
2653 (base32
2654 "0dmv34xqwr3l2rznapxmyrkyf1w78qzxdv88s5nn8s1m8qdkgwkz"))))
2655 (properties `((upstream-name . "atSNP")))
2656 (build-system r-build-system)
2657 (propagated-inputs
2658 (list r-biocfilecache
2659 r-biocparallel
2660 r-bsgenome
2661 r-data-table
2662 r-ggplot2
2663 r-lifecycle
2664 r-motifstack
2665 r-rappdirs
2666 r-rcpp
2667 r-testthat))
2668 (native-inputs (list r-knitr))
2669 (home-page "https://github.com/sunyoungshin/atSNP")
2670 (synopsis
2671 "Affinity test for identifying regulatory single nucleotide polymorphisms")
2672 (description
2673 "The atSNP package performs affinity tests of motif matches with the
2674 @dfn{SNP} (single nucleotide polymorphism) or the reference genomes and
2675 SNP-led changes in motif matches.")
2676 (license license:gpl2)))
2677
2678 (define-public r-attract
2679 (package
2680 (name "r-attract")
2681 (version "1.48.0")
2682 (source (origin
2683 (method url-fetch)
2684 (uri (bioconductor-uri "attract" version))
2685 (sha256
2686 (base32
2687 "0f1fsv278kpnxvqg9qa5rw2k3zr8zws0ab73ldl60h6pv9cy8x82"))))
2688 (properties `((upstream-name . "attract")))
2689 (build-system r-build-system)
2690 (propagated-inputs
2691 (list r-annotationdbi
2692 r-biobase
2693 r-cluster
2694 r-gostats
2695 r-keggrest
2696 r-limma
2697 r-org-hs-eg-db
2698 r-reactome-db))
2699 (home-page "https://bioconductor.org/packages/attract")
2700 (synopsis "Finding drivers of Kauffman's attractor landscape")
2701 (description
2702 "This package contains the functions to find the gene expression modules
2703 that represent the drivers of Kauffman's attractor landscape. The modules are
2704 the core attractor pathways that discriminate between different cell types of
2705 groups of interest. Each pathway has a set of synexpression groups, which show
2706 transcriptionally-coordinated changes in gene expression.")
2707 (license license:lgpl2.0+)))
2708
2709 (define-public r-awfisher
2710 (package
2711 (name "r-awfisher")
2712 (version "1.10.0")
2713 (source (origin
2714 (method url-fetch)
2715 (uri (bioconductor-uri "AWFisher" version))
2716 (sha256
2717 (base32
2718 "050k7w0azsl7rqx2pxgccihzc2q8pmh6fyy4gib2d42sdyijr2n1"))))
2719 (properties `((upstream-name . "AWFisher")))
2720 (build-system r-build-system)
2721 (propagated-inputs
2722 (list r-edger
2723 r-limma))
2724 (native-inputs (list r-knitr))
2725 (home-page "https://bioconductor.org/packages/AWFisher")
2726 (synopsis "Fast computing for adaptively weighted fisher's method")
2727 (description
2728 "This package is an implementation of the Adaptively Weighted Fisher's
2729 method, including fast p-value computing, variability index, and
2730 meta-pattern.")
2731 (license license:gpl3)))
2732
2733 (define-public r-awst
2734 (package
2735 (name "r-awst")
2736 (version "1.4.0")
2737 (source (origin
2738 (method url-fetch)
2739 (uri (bioconductor-uri "awst" version))
2740 (sha256
2741 (base32
2742 "0iw3zycmj95rmdx7f2w0j4yxkzd90y87lrzgdn9cyvvzi5avflav"))))
2743 (properties `((upstream-name . "awst")))
2744 (build-system r-build-system)
2745 (propagated-inputs (list r-summarizedexperiment))
2746 (native-inputs (list r-knitr))
2747 (home-page "https://github.com/drisso/awst")
2748 (synopsis "Asymmetric within-sample transformation")
2749 (description
2750 "This package @dfn{awst} (Asymmetric Within-Sample Transformation) that
2751 regularizes RNA-seq read counts and reduces the effect of noise on the
2752 classification of samples. AWST comprises two main steps: standardization and
2753 smoothing. These steps transform gene expression data to reduce the noise of
2754 the lowly expressed features, which suffer from background effects and low
2755 signal-to-noise ratio, and the influence of the highly expressed features,
2756 which may be the result of amplification bias and other experimental
2757 artifacts.")
2758 (license license:expat)))
2759
2760 (define-public r-baalchip
2761 (package
2762 (name "r-baalchip")
2763 (version "1.22.0")
2764 (source (origin
2765 (method url-fetch)
2766 (uri (bioconductor-uri "BaalChIP" version))
2767 (sha256
2768 (base32
2769 "02qwk9n2fyg5f9xxjiiha9mi6p9ii3zi5x7w84sh5d5g58s27g6q"))))
2770 (properties `((upstream-name . "BaalChIP")))
2771 (build-system r-build-system)
2772 (inputs (list perl)) ; extra/get.overlaps.v2_chrXY.perl
2773 (propagated-inputs
2774 (list r-coda
2775 r-doby
2776 r-doparallel
2777 r-foreach
2778 r-genomeinfodb
2779 r-genomicalignments
2780 r-genomicranges
2781 r-ggplot2
2782 r-iranges
2783 r-reshape2
2784 r-rsamtools
2785 r-scales))
2786 (native-inputs (list r-knitr))
2787 (home-page "https://bioconductor.org/packages/BaalChIP")
2788 (synopsis
2789 "Analysis of allele-specific transcription factor binding in cancer genomes")
2790 (description
2791 "This package offers functions to process multiple @code{ChIP-seq BAM}
2792 files and detect allele-specific events. It computes allele counts at
2793 individual variants (SNPs/SNVs), implements extensive @dfn{QC} (quality
2794 control) steps to remove problematic variants, and utilizes a Bayesian
2795 framework to identify statistically significant allele-specific events.
2796 BaalChIP is able to account for copy number differences between the two
2797 alleles, a known phenotypical feature of cancer samples.")
2798 (license license:artistic2.0)))
2799
2800 (define-public r-basespacer
2801 (package
2802 (name "r-basespacer")
2803 (version "1.40.0")
2804 (source (origin
2805 (method url-fetch)
2806 (uri (bioconductor-uri "BaseSpaceR" version))
2807 (sha256
2808 (base32
2809 "0jyw4pnybsd6ywpaamk5ywkrcib2z48farsnszmwq97zlbmra7fj"))))
2810 (properties `((upstream-name . "BaseSpaceR")))
2811 (build-system r-build-system)
2812 (propagated-inputs (list r-rcurl r-rjsonio))
2813 (home-page "https://bioconductor.org/packages/BaseSpaceR")
2814 (synopsis "R SDK for BaseSpace RESTful API")
2815 (description
2816 "This package provides an R interface to Illumina's BaseSpace cloud
2817 computing environment, enabling the fast development of data analysis and
2818 visualization tools. Besides providing an easy to use set of tools for
2819 manipulating the data from BaseSpace, it also facilitates the access to R's
2820 rich environment of statistical and data analysis tools.")
2821 (license license:asl2.0)))
2822
2823 (define-public r-bac
2824 (package
2825 (name "r-bac")
2826 (version "1.56.0")
2827 (source (origin
2828 (method url-fetch)
2829 (uri (bioconductor-uri "BAC" version))
2830 (sha256
2831 (base32
2832 "0dkw7438d2sf6nb577dnzija54qs0nhlr47lb73li60fhlnvqmh2"))))
2833 (properties `((upstream-name . "BAC")))
2834 (build-system r-build-system)
2835 (home-page "https://bioconductor.org/packages/BAC")
2836 (synopsis "Bayesian analysis of Chip-chip experiment")
2837 (description
2838 "This package uses a Bayesian hierarchical model to detect enriched
2839 regions from ChIP-chip experiments. The common goal in analyzing this
2840 ChIP-chip data is to detect DNA-protein interactions from ChIP-chip
2841 experiments. The BAC package has mainly been tested with Affymetrix tiling
2842 array data. However, we expect it to work with other platforms (e.g. Agilent,
2843 Nimblegen, cDNA, etc.). Note that BAC does not deal with normalization, so
2844 you will have to normalize your data beforehand.")
2845 (license license:artistic2.0)))
2846
2847 (define-public r-bader
2848 (package
2849 (name "r-bader")
2850 (version "1.34.0")
2851 (source (origin
2852 (method url-fetch)
2853 (uri (bioconductor-uri "BADER" version))
2854 (sha256
2855 (base32
2856 "0i5x1r2ns1hxhqk5jyfqird81hck1hllvvgx5bn0rb5vl99g8spm"))))
2857 (properties `((upstream-name . "BADER")))
2858 (build-system r-build-system)
2859 (home-page "https://bioconductor.org/packages/BADER")
2860 (synopsis
2861 "Bayesian analysis of differential expression in RNA sequencing data")
2862 (description
2863 "The BADER package is intended for the analysis of RNA sequencing data.
2864 The algorithm fits a Bayesian hierarchical model for RNA sequencing count
2865 data. BADER returns the posterior probability of differential expression for
2866 each gene between two groups A and B. The joint posterior distribution of the
2867 variables in the model can be returned in the form of posterior samples, which
2868 can be used for further down-stream analyses such as gene set enrichment.")
2869 (license license:gpl2)))
2870
2871 (define-public r-badregionfinder
2872 (package
2873 (name "r-badregionfinder")
2874 (version "1.24.0")
2875 (source (origin
2876 (method url-fetch)
2877 (uri (bioconductor-uri "BadRegionFinder" version))
2878 (sha256
2879 (base32
2880 "1a1pqmh5ak9s3k1lxw6flanchk24zyznwm34ixi2b78wdc3hqgm9"))))
2881 (properties `((upstream-name . "BadRegionFinder")))
2882 (build-system r-build-system)
2883 (propagated-inputs
2884 (list r-biomart
2885 r-genomicranges
2886 r-rsamtools
2887 r-s4vectors
2888 r-variantannotation))
2889 (home-page "https://bioconductor.org/packages/BadRegionFinder")
2890 (synopsis "Identifying regions with bad coverage in sequence alignment data")
2891 (description
2892 "BadRegionFinder is a package for identifying regions with a bad,
2893 acceptable and good coverage in sequence alignment data available as bam
2894 files. The whole genome may be considered as well as a set of target regions.
2895 Various visual and textual types of output are available.")
2896 (license license:lgpl3)))
2897
2898 (define-public r-bambu
2899 (package
2900 (name "r-bambu")
2901 (version "2.2.0")
2902 (source (origin
2903 (method url-fetch)
2904 (uri (bioconductor-uri "bambu" version))
2905 (sha256
2906 (base32
2907 "0dc2hpnykr575jbrq9whmdabknl70s2hcs6gkmkl4kpv7xfqdq6w"))))
2908 (properties `((upstream-name . "bambu")))
2909 (build-system r-build-system)
2910 (propagated-inputs
2911 (list r-biocgenerics
2912 r-biocparallel
2913 r-bsgenome
2914 r-data-table
2915 r-dplyr
2916 r-genomeinfodb
2917 r-genomicalignments
2918 r-genomicfeatures
2919 r-genomicranges
2920 r-iranges
2921 r-rcpp
2922 r-rcpparmadillo
2923 r-rsamtools
2924 r-s4vectors
2925 r-summarizedexperiment
2926 r-tidyr
2927 r-xgboost))
2928 (native-inputs (list r-knitr))
2929 (home-page "https://github.com/GoekeLab/bambu")
2930 (synopsis
2931 "Isoform reconstruction and quantification for long read RNA-Seq data")
2932 (description
2933 "This R package is for multi-sample transcript discovery and
2934 quantification using long read RNA-Seq data. You can use bambu after read
2935 alignment to obtain expression estimates for known and novel transcripts and
2936 genes. The output from bambu can directly be used for visualisation and
2937 downstream analysis, such as differential gene expression or transcript
2938 usage.")
2939 (license license:gpl3)))
2940
2941 (define-public r-bandits
2942 (package
2943 (name "r-bandits")
2944 (version "1.12.0")
2945 (source (origin
2946 (method url-fetch)
2947 (uri (bioconductor-uri "BANDITS" version))
2948 (sha256
2949 (base32
2950 "1423djb7cij68y0q2dcp8q7lrcn2fxjn6d25v4qy3w00b2w8ppg9"))))
2951 (properties `((upstream-name . "BANDITS")))
2952 (build-system r-build-system)
2953 (propagated-inputs
2954 (list r-biocparallel
2955 r-data-table
2956 r-doparallel
2957 r-dorng
2958 r-drimseq
2959 r-foreach
2960 r-ggplot2
2961 r-mass
2962 r-r-utils
2963 r-rcpp
2964 r-rcpparmadillo))
2965 (native-inputs (list r-knitr))
2966 (home-page "https://github.com/SimoneTiberi/BANDITS")
2967 (synopsis "Bayesian analysis of differential splicing")
2968 (description
2969 "BANDITS is a Bayesian hierarchical model for detecting differential
2970 splicing of genes and transcripts, via @dfn{DTU} (differential transcript
2971 usage), between two or more conditions. The method uses a Bayesian
2972 hierarchical framework, which allows for sample specific proportions in a
2973 Dirichlet-Multinomial model, and samples the allocation of fragments to the
2974 transcripts. Parameters are inferred via @dfn{MCMC} (Markov chain Monte
2975 Carlo) techniques and a DTU test is performed via a multivariate Wald test on
2976 the posterior densities for the average relative abundance of transcripts.")
2977 (license license:gpl3+)))
2978
2979 (define-public r-banocc
2980 (package
2981 (name "r-banocc")
2982 (version "1.20.0")
2983 (source (origin
2984 (method url-fetch)
2985 (uri (bioconductor-uri "banocc" version))
2986 (sha256
2987 (base32
2988 "10vaggq1w5jkxd8r2k1mhymzvb7x3h8afwn2pvmcpj022ka7xhbx"))))
2989 (properties `((upstream-name . "banocc")))
2990 (build-system r-build-system)
2991 (propagated-inputs
2992 (list r-coda
2993 r-mvtnorm
2994 r-rstan
2995 r-stringr))
2996 (native-inputs (list r-knitr))
2997 (home-page "https://bioconductor.org/packages/banocc")
2998 (synopsis "Bayesian analysis of compositional covariance")
2999 (description
3000 "BAnOCC is a package designed for compositional data, where each sample
3001 sums to one. It infers the approximate covariance of the unconstrained data
3002 using a Bayesian model coded with @code{rstan}. It provides as output the
3003 @code{stanfit} object as well as posterior median and credible interval
3004 estimates for each correlation element.")
3005 (license license:expat)))
3006
3007 (define-public r-barcodetrackr
3008 (package
3009 (name "r-barcodetrackr")
3010 (version "1.4.0")
3011 (source (origin
3012 (method url-fetch)
3013 (uri (bioconductor-uri "barcodetrackR" version))
3014 (sha256
3015 (base32
3016 "0yxa15xkgqazw31vq4wm8v747bw4qb18m6i602pvynk0n5bgg3d3"))))
3017 (properties `((upstream-name . "barcodetrackR")))
3018 (build-system r-build-system)
3019 (propagated-inputs
3020 (list r-circlize
3021 r-cowplot
3022 r-dplyr
3023 r-ggdendro
3024 r-ggplot2
3025 r-ggridges
3026 r-magrittr
3027 r-plyr
3028 r-proxy
3029 r-rcolorbrewer
3030 r-rlang
3031 r-s4vectors
3032 r-scales
3033 r-shiny
3034 r-summarizedexperiment
3035 r-tibble
3036 r-tidyr
3037 r-vegan
3038 r-viridis))
3039 (native-inputs (list r-knitr))
3040 (home-page "https://github.com/dunbarlabNIH/barcodetrackR")
3041 (synopsis "Functions for analyzing cellular barcoding data")
3042 (description
3043 "This package is developed for the analysis and visualization of clonal
3044 tracking data. The required data is formed by samples and tag abundances in
3045 matrix form, usually from cellular barcoding experiments, integration site
3046 retrieval analyses, or similar technologies.")
3047 (license license:cc0)))
3048
3049 (define-public r-biocversion
3050 (package
3051 (name "r-biocversion")
3052 (version "3.15.2")
3053 (source
3054 (origin
3055 (method url-fetch)
3056 (uri (bioconductor-uri "BiocVersion" version))
3057 (sha256
3058 (base32
3059 "0rs4nyza4hqqk204d037gi013135wgfhx5asq2dsdjc9vk5nwzfn"))))
3060 (properties `((upstream-name . "BiocVersion")))
3061 (build-system r-build-system)
3062 (home-page "https://bioconductor.org/packages/BiocVersion/")
3063 (synopsis "Set the appropriate version of Bioconductor packages")
3064 (description
3065 "This package provides repository information for the appropriate version
3066 of Bioconductor.")
3067 (license license:artistic2.0)))
3068
3069 (define-public r-biocgenerics
3070 (package
3071 (name "r-biocgenerics")
3072 (version "0.42.0")
3073 (source (origin
3074 (method url-fetch)
3075 (uri (bioconductor-uri "BiocGenerics" version))
3076 (sha256
3077 (base32
3078 "0iv9bnpw2hycndwbmjsszqfwrksz6dfr6qcz78jkssc9ldsgmdhc"))))
3079 (properties
3080 `((upstream-name . "BiocGenerics")))
3081 (build-system r-build-system)
3082 (home-page "https://bioconductor.org/packages/BiocGenerics")
3083 (synopsis "S4 generic functions for Bioconductor")
3084 (description
3085 "This package provides S4 generic functions needed by many Bioconductor
3086 packages.")
3087 (license license:artistic2.0)))
3088
3089 (define-public r-coverageview
3090 (package
3091 (name "r-coverageview")
3092 (version "1.34.0")
3093 (source (origin
3094 (method url-fetch)
3095 (uri (bioconductor-uri "CoverageView" version))
3096 (sha256
3097 (base32
3098 "0mh66l4yh6rpd1r7qbqwh5jkklqyvpfiap0zcqhz9kimssm2pbbp"))))
3099 (build-system r-build-system)
3100 (propagated-inputs
3101 (list r-s4vectors
3102 r-iranges
3103 r-genomicranges
3104 r-genomicalignments
3105 r-rtracklayer
3106 r-rsamtools))
3107 (home-page "https://bioconductor.org/packages/CoverageView/")
3108 (synopsis "Coverage visualization package for R")
3109 (description "This package provides a framework for the visualization of
3110 genome coverage profiles. It can be used for ChIP-seq experiments, but it can
3111 be also used for genome-wide nucleosome positioning experiments or other
3112 experiment types where it is important to have a framework in order to inspect
3113 how the coverage distributed across the genome.")
3114 (license license:artistic2.0)))
3115
3116 (define-public r-cummerbund
3117 (package
3118 (name "r-cummerbund")
3119 (version "2.38.0")
3120 (source (origin
3121 (method url-fetch)
3122 (uri (bioconductor-uri "cummeRbund" version))
3123 (sha256
3124 (base32
3125 "1p4anmi436zykp0ir307g75g23kj8b7shxg4r65qq6zdwflphm0q"))))
3126 (build-system r-build-system)
3127 (propagated-inputs
3128 (list r-biobase
3129 r-biocgenerics
3130 r-fastcluster
3131 r-ggplot2
3132 r-gviz
3133 r-plyr
3134 r-reshape2
3135 r-rsqlite
3136 r-rtracklayer
3137 r-s4vectors))
3138 (home-page "https://bioconductor.org/packages/cummeRbund/")
3139 (synopsis "Analyze Cufflinks high-throughput sequencing data")
3140 (description "This package allows for persistent storage, access,
3141 exploration, and manipulation of Cufflinks high-throughput sequencing
3142 data. In addition, provides numerous plotting functions for commonly
3143 used visualizations.")
3144 (license license:artistic2.0)))
3145
3146 (define-public r-dama
3147 (package
3148 (name "r-dama")
3149 (version "1.68.0")
3150 (source (origin
3151 (method url-fetch)
3152 (uri (bioconductor-uri "daMA" version))
3153 (sha256
3154 (base32
3155 "1mpjvl24wsdmpgra3iasgfvy29m71318gj6j1gg6081w0n4cq72m"))))
3156 (properties `((upstream-name . "daMA")))
3157 (build-system r-build-system)
3158 (propagated-inputs (list r-mass))
3159 (home-page "https://bioconductor.org/packages/release/bioc/html/daMA.html")
3160 (synopsis
3161 "Efficient design and analysis of factorial two-colour microarray data")
3162 (description
3163 "This package contains functions for the efficient design of factorial
3164 two-colour microarray experiments and for the statistical analysis of
3165 factorial microarray data.")
3166 (license license:gpl2+)))
3167
3168 (define-public r-damefinder
3169 (package
3170 (name "r-damefinder")
3171 (version "1.8.0")
3172 (source (origin
3173 (method url-fetch)
3174 (uri (bioconductor-uri "DAMEfinder" version))
3175 (sha256
3176 (base32
3177 "123ra94bij0m45j2fzqr7fjipj4ld9kgk0kir1zfdbbd5h8h4mdf"))))
3178 (properties `((upstream-name . "DAMEfinder")))
3179 (build-system r-build-system)
3180 (propagated-inputs
3181 (list r-biocgenerics
3182 r-biostrings
3183 r-bumphunter
3184 r-cowplot
3185 r-genomeinfodb
3186 r-genomicalignments
3187 r-genomicranges
3188 r-ggplot2
3189 r-iranges
3190 r-limma
3191 r-plyr
3192 r-readr
3193 r-reshape2
3194 r-rsamtools
3195 r-s4vectors
3196 r-stringr
3197 r-summarizedexperiment
3198 r-variantannotation))
3199 (native-inputs (list r-knitr))
3200 (home-page "https://bioconductor.org/packages/DAMEfinder")
3201 (synopsis "Differential allelicly methylated regions")
3202 (description
3203 "This package offers functionality for taking methtuple or Bismark
3204 outputs to calculate @acronym{ASM, Allele-Specific Methylation} scores and
3205 compute @acronym{DAMEs, Differential Allelicly MEthylated} regions. It also
3206 offers nice visualization of methyl-circle plots.")
3207 (license license:expat)))
3208
3209 (define-public r-dearseq
3210 (package
3211 (name "r-dearseq")
3212 (version "1.8.4")
3213 (source
3214 (origin
3215 (method url-fetch)
3216 (uri (bioconductor-uri "dearseq" version))
3217 (sha256
3218 (base32
3219 "1zsqsgf243gq1k57mw11d6apzccnq531mwg2wzw9mjrs1m0jsfzl"))))
3220 (build-system r-build-system)
3221 (propagated-inputs
3222 (list r-compquadform
3223 r-dplyr
3224 r-ggplot2
3225 r-kernsmooth
3226 r-magrittr
3227 r-matrixstats
3228 r-patchwork
3229 r-pbapply
3230 r-reshape2
3231 r-rlang
3232 r-statmod
3233 r-survey
3234 r-tibble
3235 r-viridislite))
3236 (native-inputs
3237 (list r-knitr))
3238 (home-page "https://github.com/borishejblum/dearseq")
3239 (synopsis "DEA for RNA-seq data through a robust variance component test")
3240 (description
3241 "This is a package for Differential Expression Analysis of RNA-seq data.
3242 It features a variance component score test accounting for data
3243 heteroscedasticity through precision weights. Perform both gene-wise and gene
3244 set analyses, and can deal with repeated or longitudinal data.")
3245 (license license:gpl2)))
3246
3247 (define-public r-debcam
3248 (package
3249 (name "r-debcam")
3250 (version "1.14.0")
3251 (source (origin
3252 (method url-fetch)
3253 (uri (bioconductor-uri "debCAM" version))
3254 (sha256
3255 (base32
3256 "1ynz57kkxl8nx80zhh1vhhydqb5n6r9d7p69f0k9nj8rp4hdgng7"))))
3257 (properties `((upstream-name . "debCAM")))
3258 (build-system r-build-system)
3259 (inputs (list openjdk))
3260 (propagated-inputs
3261 (list r-apcluster
3262 r-biobase
3263 r-biocparallel
3264 r-corpcor
3265 r-dmwr2
3266 r-geometry
3267 r-nmf
3268 r-nnls
3269 r-pcapp
3270 r-rjava
3271 r-summarizedexperiment))
3272 (native-inputs (list r-knitr))
3273 (home-page "https://bioconductor.org/packages/debCAM")
3274 (synopsis "Deconvolution by convex analysis of mixtures")
3275 (description
3276 "This package is an R implementation for fully unsupervised deconvolution
3277 of complex tissues. DebCAM provides basic functions to perform unsupervised
3278 deconvolution on mixture expression profiles by @acronym{CAM, Convex Analysis
3279 of Mixtures} and some auxiliary functions to help understand the
3280 subpopulation- specific results. It also implements functions to perform
3281 supervised deconvolution based on prior knowledge of molecular markers, S
3282 matrix or A matrix. Combining molecular markers from CAM and from prior
3283 knowledge can achieve semi-supervised deconvolution of mixtures.")
3284 (license license:gpl2)))
3285
3286 (define-public r-decipher
3287 (package
3288 (name "r-decipher")
3289 (version "2.24.0")
3290 (source (origin
3291 (method url-fetch)
3292 (uri (bioconductor-uri "DECIPHER" version))
3293 (sha256
3294 (base32
3295 "045q2bfzgq1yzhyrzvrhrnmlpka4gikrajxxwv05szksy5nvp7q5"))))
3296 (build-system r-build-system)
3297 (propagated-inputs
3298 (list r-biostrings
3299 r-dbi
3300 r-iranges
3301 r-rsqlite
3302 r-s4vectors
3303 r-xvector))
3304 (home-page "https://www.bioconductor.org/packages/DECIPHER/")
3305 (synopsis "Tools for deciphering and managing biological sequences")
3306 (description "This package provides a toolset for deciphering and managing
3307 biological sequences.")
3308 (license license:gpl3)))
3309
3310 (define-public r-deco
3311 (package
3312 (name "r-deco")
3313 (version "1.12.0")
3314 (source (origin
3315 (method url-fetch)
3316 (uri (bioconductor-uri "deco" version))
3317 (sha256
3318 (base32
3319 "18n5zgln33c79jbjzjlivs8ihyg8zci6minfqlvagxgzcpa67k0m"))))
3320 (properties `((upstream-name . "deco")))
3321 (build-system r-build-system)
3322 (propagated-inputs
3323 (list r-ade4
3324 r-annotationdbi
3325 r-biobase
3326 r-biocparallel
3327 r-biocstyle
3328 r-cluster
3329 r-foreign
3330 r-gdata
3331 r-ggplot2
3332 r-gplots
3333 r-gridextra
3334 r-limma
3335 r-locfit
3336 r-made4
3337 r-rcolorbrewer
3338 r-reshape2
3339 r-scatterplot3d
3340 r-sfsmisc
3341 r-summarizedexperiment))
3342 (native-inputs (list r-knitr))
3343 (home-page "https://github.com/fjcamlab/deco")
3344 (synopsis "Decomposing heterogeneous cohorts using omic data profiling")
3345 (description
3346 "This package discovers differential features in hetero- and homogeneous
3347 omic data by a two-step method including subsampling LIMMA and NSCA. DECO
3348 reveals feature associations to hidden subclasses not exclusively related to
3349 higher deregulation levels.")
3350 (license license:gpl3+)))
3351
3352 (define-public r-decomplexdisease
3353 (package
3354 (name "r-decomplexdisease")
3355 (version "1.16.0")
3356 (source (origin
3357 (method url-fetch)
3358 (uri (bioconductor-uri "DEComplexDisease" version))
3359 (sha256
3360 (base32
3361 "09a967x1rnv7byjwh29ngjhs67rgg27zblmlzx6pyqlwy5jsp89d"))))
3362 (properties `((upstream-name . "DEComplexDisease")))
3363 (build-system r-build-system)
3364 (propagated-inputs
3365 (list r-biocparallel
3366 r-complexheatmap
3367 r-deseq2
3368 r-edger
3369 r-rcpp
3370 r-summarizedexperiment))
3371 (native-inputs (list r-knitr))
3372 (home-page "https://bioconductor.org/packages/DEComplexDisease")
3373 (synopsis "Investigations of complex diseases by bi-clustering analysis")
3374 (description
3375 "DEComplexDisease is designed to find the @acronym{DEGs, Differential
3376 Expressed Genes} for complex disease, which is characterized by the
3377 heterogeneous genomic expression profiles. Different from the established DEG
3378 analysis tools, it does not assume the patients of complex diseases to share
3379 the common DEGs. By applying a bi-clustering algorithm, DEComplexDisease
3380 finds the DEGs shared by as many patients. Applying the DEComplexDisease
3381 analysis results, users are possible to find the patients affected by the same
3382 mechanism based on the shared signatures.")
3383 (license license:gpl3)))
3384
3385 (define-public r-decomptumor2sig
3386 (package
3387 (name "r-decomptumor2sig")
3388 (version "2.12.0")
3389 (source (origin
3390 (method url-fetch)
3391 (uri (bioconductor-uri "decompTumor2Sig" version))
3392 (sha256
3393 (base32
3394 "04hg9bbga2s8scjxfd8wjlmr45nzzvh8d6gr0w929sybx4nj2qz6"))))
3395 (properties `((upstream-name . "decompTumor2Sig")))
3396 (build-system r-build-system)
3397 (inputs (list perl)) ;script/extractSpecColumns.pl
3398 (propagated-inputs
3399 (list r-biocgenerics
3400 r-biostrings
3401 r-bsgenome-hsapiens-ucsc-hg19
3402 r-data-table
3403 r-genomeinfodb
3404 r-genomicfeatures
3405 r-genomicranges
3406 r-ggplot2
3407 r-ggseqlogo
3408 r-gridextra
3409 r-matrix
3410 r-plyr
3411 r-quadprog
3412 r-readxl
3413 r-s4vectors
3414 r-summarizedexperiment
3415 r-txdb-hsapiens-ucsc-hg19-knowngene
3416 r-variantannotation))
3417 (native-inputs (list r-knitr))
3418 (home-page "https://rmpiro.net/decompTumor2Sig/")
3419 (synopsis "Decomposition of individual tumors into mutational signatures")
3420 (description
3421 "The package uses quadratic programming for signature refitting, i.e., to
3422 decompose the mutation catalog from an individual tumor sample into a set of
3423 given mutational signatures (either Alexandrov-model signatures or
3424 Shiraishi-model signatures), computing weights that reflect the contributions
3425 of the signatures to the mutation load of the tumor.")
3426 (license license:gpl2)))
3427
3428 (define-public r-deconrnaseq
3429 (package
3430 (name "r-deconrnaseq")
3431 (version "1.38.0")
3432 (source (origin
3433 (method url-fetch)
3434 (uri (bioconductor-uri "DeconRNASeq" version))
3435 (sha256
3436 (base32
3437 "10smk88srxm58hli0fhkdfd6l5z02q58xc9mww39gkn71y0127k6"))))
3438 (properties `((upstream-name . "DeconRNASeq")))
3439 (build-system r-build-system)
3440 (propagated-inputs
3441 (list r-ggplot2
3442 r-limsolve
3443 r-pcamethods))
3444 (home-page "https://bioconductor.org/packages/DeconRNASeq")
3445 (synopsis
3446 "Deconvolution of heterogeneous tissue samples for mRNA-Seq data")
3447 (description
3448 "DeconSeq is an R package for deconvolution of heterogeneous tissues
3449 based on mRNA-Seq data. It models the expression levels from heterogeneous
3450 cell populations in mRNA-Seq as the weighted average of expression from
3451 different constituting cell types and predicted cell type proportions of
3452 single expression profiles.")
3453 (license license:gpl2)))
3454
3455 (define-public r-decontam
3456 (package
3457 (name "r-decontam")
3458 (version "1.16.0")
3459 (source (origin
3460 (method url-fetch)
3461 (uri (bioconductor-uri "decontam" version))
3462 (sha256
3463 (base32
3464 "1g9hcfcfnpq6z21069yw0pyzncwznmvxb2xalg4y6y1604dy98q9"))))
3465 (properties `((upstream-name . "decontam")))
3466 (build-system r-build-system)
3467 (propagated-inputs
3468 (list r-ggplot2 r-reshape2))
3469 (native-inputs (list r-knitr))
3470 (home-page "https://github.com/benjjneb/decontam")
3471 (synopsis
3472 "Identification of contaminants in marker-gene and metagenomics data")
3473 (description
3474 "This package offers simple statistical identification of contaminating
3475 sequence features in marker-gene or metagenomics data. It works on any kind
3476 of feature derived from environmental sequencing data (e.g. ASVs, OTUs,
3477 taxonomic groups, MAGs, etc). Requires DNA quantitation data or sequenced
3478 negative control samples.")
3479 (license license:artistic2.0)))
3480
3481 (define-public r-deconvr
3482 (package
3483 (name "r-deconvr")
3484 (version "1.2.0")
3485 (source (origin
3486 (method url-fetch)
3487 (uri (bioconductor-uri "deconvR" version))
3488 (sha256
3489 (base32
3490 "091z3lncamscsvzj63zzbw7dr7vnkn0jwfkm5ljq4112w4rxgrm3"))))
3491 (properties `((upstream-name . "deconvR")))
3492 (build-system r-build-system)
3493 (propagated-inputs
3494 (list r-assertthat
3495 r-biocgenerics
3496 r-data-table
3497 r-dplyr
3498 r-e1071
3499 r-foreach
3500 r-genomicranges
3501 r-iranges
3502 r-magrittr
3503 r-mass
3504 r-matrixstats
3505 r-methylkit
3506 r-nnls
3507 r-quadprog
3508 r-rsq
3509 r-s4vectors
3510 r-tidyr))
3511 (native-inputs (list r-knitr))
3512 (home-page "https://github.com/BIMSBbioinfo/deconvR")
3513 (synopsis "Simulation and deconvolution of omic profiles")
3514 (description
3515 "This package provides a collection of functions designed for analyzing
3516 deconvolution of the bulk sample(s) using an atlas of reference omic signature
3517 profiles and a user-selected model. Users are given the option to create or
3518 extend a reference atlas and,also simulate the desired size of the bulk
3519 signature profile of the reference cell types. The package includes the
3520 cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can
3521 be used in deconvolution. Additionally, we included @code{BSmeth2Probe}, to
3522 make mapping WGBS data to their probe IDs easier.")
3523 (license license:artistic2.0)))
3524
3525 (define-public r-decoupler
3526 (package
3527 (name "r-decoupler")
3528 (version "2.2.2")
3529 (source
3530 (origin
3531 (method url-fetch)
3532 (uri (bioconductor-uri "decoupleR" version))
3533 (sha256
3534 (base32 "0q1w8yw3bwx8ai5z8rw8lz97w4cplxijq93634hza2vgkig1ck9m"))))
3535 (properties `((upstream-name . "decoupleR")))
3536 (build-system r-build-system)
3537 (propagated-inputs
3538 (list r-broom
3539 r-dplyr
3540 r-magrittr
3541 r-matrix
3542 r-purrr
3543 r-rlang
3544 r-stringr
3545 r-tibble
3546 r-tidyr
3547 r-tidyselect
3548 r-withr))
3549 (native-inputs (list r-knitr))
3550 (home-page "https://saezlab.github.io/decoupleR/")
3551 (synopsis "Computational methods to infer biological activities from omics data")
3552 (description
3553 "Many methods allow us to extract biological activities from omics data using
3554 information from prior knowledge resources, reducing the dimensionality for
3555 increased statistical power and better interpretability. decoupleR is a
3556 Bioconductor package containing different statistical methods to extract these
3557 signatures within a unified framework. decoupleR allows the user to flexibly
3558 test any method with any resource. It incorporates methods that take into
3559 account the sign and weight of network interactions. decoupleR can be used
3560 with any omic, as long as its features can be linked to a biological process
3561 based on prior knowledge. For example, in transcriptomics gene sets regulated
3562 by a transcription factor, or in phospho-proteomics phosphosites that are
3563 targeted by a kinase.")
3564 (license license:gpl3)))
3565
3566 (define-public r-deepsnv
3567 (package
3568 (name "r-deepsnv")
3569 (version "1.42.1")
3570 (source (origin
3571 (method url-fetch)
3572 (uri (bioconductor-uri "deepSNV" version))
3573 (sha256
3574 (base32
3575 "0bgj1grv3a5bqhcdsw445x49kl3pz367svy6fnrzfsk9bmj46kgn"))))
3576 (properties `((upstream-name . "deepSNV")))
3577 (build-system r-build-system)
3578 (propagated-inputs
3579 (list r-biostrings
3580 r-genomicranges
3581 r-iranges
3582 r-rhtslib
3583 r-summarizedexperiment
3584 r-variantannotation
3585 r-vgam))
3586 (native-inputs
3587 (list r-knitr))
3588 (home-page "https://github.com/gerstung-lab/deepSNV/")
3589 (synopsis "Detection of subclonal SNVs in deep sequencing data")
3590 (description
3591 "This package provides quantitative variant callers for detecting
3592 subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments.
3593 The deepSNV algorithm is used for a comparative setup with a control experiment
3594 of the same loci and uses a beta-binomial model and a likelihood ratio test to
3595 discriminate sequencing errors and subclonal SNVs. The shearwater algorithm
3596 computes a Bayes classifier based on a beta-binomial model for variant calling
3597 with multiple samples for precisely estimating model parameters - such as local
3598 error rates and dispersion - and prior knowledge, e.g. from variation data
3599 bases such as COSMIC.")
3600 (license license:gpl3)))
3601
3602 (define-public r-delayedarray
3603 (package
3604 (name "r-delayedarray")
3605 (version "0.22.0")
3606 (source (origin
3607 (method url-fetch)
3608 (uri (bioconductor-uri "DelayedArray" version))
3609 (sha256
3610 (base32
3611 "11id63qza9dxl1364gllqafxmx25a0q22jv5q8h709bgc3f0grqy"))))
3612 (properties
3613 `((upstream-name . "DelayedArray")))
3614 (build-system r-build-system)
3615 (propagated-inputs
3616 (list r-biocgenerics r-s4vectors r-iranges r-matrix
3617 r-matrixgenerics))
3618 (native-inputs
3619 (list r-knitr))
3620 (home-page "https://bioconductor.org/packages/DelayedArray")
3621 (synopsis "Delayed operations on array-like objects")
3622 (description
3623 "Wrapping an array-like object (typically an on-disk object) in a
3624 @code{DelayedArray} object allows one to perform common array operations on it
3625 without loading the object in memory. In order to reduce memory usage and
3626 optimize performance, operations on the object are either delayed or executed
3627 using a block processing mechanism. Note that this also works on in-memory
3628 array-like objects like @code{DataFrame} objects (typically with Rle columns),
3629 @code{Matrix} objects, and ordinary arrays and data frames.")
3630 (license license:artistic2.0)))
3631
3632 (define-public r-derfinderhelper
3633 (package
3634 (name "r-derfinderhelper")
3635 (version "1.30.0")
3636 (source
3637 (origin
3638 (method url-fetch)
3639 (uri (bioconductor-uri "derfinderHelper" version))
3640 (sha256
3641 (base32 "0r7zbx5bfmh5cjs12y8d9qwz53nz340gdy3sx7zcn4rzn7rpslp5"))))
3642 (properties `((upstream-name . "derfinderHelper")))
3643 (build-system r-build-system)
3644 (propagated-inputs
3645 (list r-iranges r-matrix r-s4vectors))
3646 (native-inputs
3647 (list r-knitr))
3648 (home-page "https://github.com/leekgroup/derfinderHelper")
3649 (synopsis "Helper for derfinder")
3650 (description
3651 "This package speeds up the derfinder package when using multiple cores.
3652 It is particularly useful when using BiocParallel and it helps reduce the time
3653 spent loading the full derfinder package when running the F-statistics
3654 calculation in parallel.")
3655 (license license:artistic2.0)))
3656
3657 (define-public r-drimseq
3658 (package
3659 (name "r-drimseq")
3660 (version "1.24.0")
3661 (source
3662 (origin
3663 (method url-fetch)
3664 (uri (bioconductor-uri "DRIMSeq" version))
3665 (sha256
3666 (base32 "1dph483ij43ayw0z5dbnp6gwp53ka7k5si1hp3miac7z8dqzv94l"))))
3667 (properties `((upstream-name . "DRIMSeq")))
3668 (build-system r-build-system)
3669 (propagated-inputs
3670 (list r-biocgenerics
3671 r-biocparallel
3672 r-edger
3673 r-genomicranges
3674 r-ggplot2
3675 r-iranges
3676 r-limma
3677 r-mass
3678 r-reshape2
3679 r-s4vectors))
3680 (native-inputs (list r-knitr))
3681 (home-page "https://bioconductor.org/packages/DRIMSeq")
3682 (synopsis "Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq")
3683 (description
3684 "The package provides two frameworks. One for the differential
3685 transcript usage analysis between different conditions and one for the tuQTL
3686 analysis. Both are based on modeling the counts of genomic features (i.e.,
3687 transcripts) with the Dirichlet-multinomial distribution. The package also
3688 makes available functions for visualization and exploration of the data and
3689 results.")
3690 (license license:gpl3+)))
3691
3692 (define-public r-bluster
3693 (package
3694 (name "r-bluster")
3695 (version "1.6.0")
3696 (source (origin
3697 (method url-fetch)
3698 (uri (bioconductor-uri "bluster" version))
3699 (sha256
3700 (base32
3701 "1g496yc7mdhshf6r0n8xhj7ax936ia5z2cx72lqyk2vzzzl5c4v8"))))
3702 (properties `((upstream-name . "bluster")))
3703 (build-system r-build-system)
3704 (propagated-inputs
3705 (list r-biocneighbors
3706 r-biocparallel
3707 r-cluster
3708 r-igraph
3709 r-matrix
3710 r-rcpp
3711 r-s4vectors))
3712 (native-inputs
3713 (list r-knitr))
3714 (home-page "https://bioconductor.org/packages/bluster")
3715 (synopsis "Clustering algorithms for Bioconductor")
3716 (description"This package wraps common clustering algorithms in an easily
3717 extended S4 framework. Backends are implemented for hierarchical, k-means
3718 and graph-based clustering. Several utilities are also provided to compare
3719 and evaluate clustering results.")
3720 (license license:gpl3)))
3721
3722 (define-public r-ideoviz
3723 (package
3724 (name "r-ideoviz")
3725 (version "1.32.0")
3726 (source (origin
3727 (method url-fetch)
3728 (uri (bioconductor-uri "IdeoViz" version))
3729 (sha256
3730 (base32
3731 "1wwh3ifdijhpm58lw7cmnx084xwfxnc7i0206w8rhrjnvnq6ljh3"))))
3732 (build-system r-build-system)
3733 (propagated-inputs
3734 (list r-biobase
3735 r-iranges
3736 r-genomicranges
3737 r-rcolorbrewer
3738 r-rtracklayer
3739 r-genomeinfodb))
3740 (home-page "https://bioconductor.org/packages/IdeoViz/")
3741 (synopsis "Plots data along a chromosomal ideogram")
3742 (description "This package provides functions to plot data associated with
3743 arbitrary genomic intervals along chromosomal ideogram.")
3744 (license license:gpl2)))
3745
3746 (define-public r-infercnv
3747 (package
3748 (name "r-infercnv")
3749 (version "1.12.0")
3750 (source
3751 (origin
3752 (method url-fetch)
3753 (uri (bioconductor-uri "infercnv" version))
3754 (sha256
3755 (base32
3756 "01f021fdxm058733rky46dlvqg7dmf5mn5x9lnq0fspp5665w3bl"))))
3757 (properties `((upstream-name . "infercnv")))
3758 (build-system r-build-system)
3759 (inputs (list python))
3760 (propagated-inputs
3761 (list r-ape
3762 r-argparse
3763 r-biocgenerics
3764 r-catools
3765 r-coda
3766 r-coin
3767 r-digest
3768 r-doparallel
3769 r-dplyr
3770 r-edger
3771 r-fastcluster
3772 r-fitdistrplus
3773 r-foreach
3774 r-futile-logger
3775 r-future
3776 r-ggplot2
3777 r-gplots
3778 r-gridextra
3779 r-hiddenmarkov
3780 r-leiden
3781 r-matrix
3782 r-paralleldist
3783 r-phyclust
3784 r-rann
3785 r-rcolorbrewer
3786 r-reshape
3787 r-rjags
3788 r-singlecellexperiment
3789 r-summarizedexperiment
3790 r-tidyr))
3791 (native-inputs (list r-knitr))
3792 (home-page "https://github.com/broadinstitute/inferCNV/wiki")
3793 (synopsis "Infer copy number variation from single-cell RNA-Seq data")
3794 (description
3795 "@code{InferCNV} is used to explore tumor single cell RNA-Seq data to identify
3796 evidence for somatic large-scale chromosomal copy number alterations, such as gains
3797 or deletions of entire chromosomes or large segments of chromosomes. This is done
3798 by exploring expression intensity of genes across positions of a tumor genome in
3799 comparison to a set of reference \"normal\" cells. A heatmap is generated
3800 illustrating the relative expression intensities across each chromosome, and it
3801 often becomes readily apparent as to which regions of the tumor genome are
3802 over-abundant or less-abundant as compared to that of normal cells.")
3803 (license license:bsd-3)))
3804
3805 (define-public r-iranges
3806 (package
3807 (name "r-iranges")
3808 (version "2.30.1")
3809 (source (origin
3810 (method url-fetch)
3811 (uri (bioconductor-uri "IRanges" version))
3812 (sha256
3813 (base32
3814 "1r01c9lczkchgd9hbxxd6wrd5avhy52mfqjck7l9avjq1jimvzv3"))))
3815 (properties
3816 `((upstream-name . "IRanges")))
3817 (build-system r-build-system)
3818 (propagated-inputs
3819 (list r-biocgenerics r-s4vectors))
3820 (home-page "https://bioconductor.org/packages/IRanges")
3821 (synopsis "Infrastructure for manipulating intervals on sequences")
3822 (description
3823 "This package provides efficient low-level and highly reusable S4 classes
3824 for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more
3825 generally, data that can be organized sequentially (formally defined as
3826 @code{Vector} objects), as well as views on these @code{Vector} objects.
3827 Efficient list-like classes are also provided for storing big collections of
3828 instances of the basic classes. All classes in the package use consistent
3829 naming and share the same rich and consistent \"Vector API\" as much as
3830 possible.")
3831 (license license:artistic2.0)))
3832
3833 (define-public r-isoformswitchanalyzer
3834 (package
3835 (name "r-isoformswitchanalyzer")
3836 (version "1.18.0")
3837 (source
3838 (origin
3839 (method url-fetch)
3840 (uri (bioconductor-uri "IsoformSwitchAnalyzeR" version))
3841 (sha256
3842 (base32 "0n1gb9azxa1mxpsqvw3i3kf72f45nyjj1kgwwrzhd88n3g63lvkd"))))
3843 (properties `((upstream-name . "IsoformSwitchAnalyzeR")))
3844 (build-system r-build-system)
3845 (propagated-inputs
3846 (list r-biobase
3847 r-biocgenerics
3848 r-biostrings
3849 r-bsgenome
3850 r-dbi
3851 r-dexseq
3852 r-dplyr
3853 r-drimseq
3854 r-edger
3855 r-futile-logger
3856 r-genomeinfodb
3857 r-genomicranges
3858 r-ggplot2
3859 r-gridextra
3860 r-iranges
3861 r-limma
3862 r-magrittr
3863 r-plyr
3864 r-rcolorbrewer
3865 r-rcurl
3866 r-readr
3867 r-reshape2
3868 r-rtracklayer
3869 r-stringr
3870 r-tibble
3871 r-tximeta
3872 r-tximport
3873 r-venndiagram
3874 r-xvector))
3875 (native-inputs
3876 (list r-knitr))
3877 (home-page "https://bioconductor.org/packages/IsoformSwitchAnalyzeR/")
3878 (synopsis "Analyze alternative splicing in RNA-seq data")
3879 (description
3880 "This is a package for the analysis of alternative splicing and isoform
3881 switches with predicted functional consequences (e.g. gain/loss of protein
3882 domains etc.) from quantification of all types of RNASeq by tools such as
3883 Kallisto, Salmon, StringTie, Cufflinks/Cuffdiff etc.")
3884 (license license:gpl2+)))
3885
3886 ;; This is a CRAN package, but it depends on r-biobase and r-limma from Bioconductor.
3887 (define-public r-absfiltergsea
3888 (package
3889 (name "r-absfiltergsea")
3890 (version "1.5.1")
3891 (source
3892 (origin
3893 (method url-fetch)
3894 (uri (cran-uri "AbsFilterGSEA" version))
3895 (sha256
3896 (base32 "15srxkxsvn38kd5frdrwfdf0ad8gskrd0h01wmdf9hglq8fjrp7w"))))
3897 (properties `((upstream-name . "AbsFilterGSEA")))
3898 (build-system r-build-system)
3899 (propagated-inputs
3900 (list r-biobase r-deseq r-limma r-rcpp r-rcpparmadillo))
3901 (home-page "https://cran.r-project.org/web/packages/AbsFilterGSEA/")
3902 (synopsis "Improved false positive control of gene-permuting with absolute filtering")
3903 (description
3904 "This package provides a function that performs gene-permuting of a gene-set
3905 enrichment analysis (GSEA) calculation with or without the absolute filtering.
3906 Without filtering, users can perform (original) two-tailed or one-tailed
3907 absolute GSEA.")
3908 (license license:gpl2)))
3909
3910 ;; This is a CRAN package, but it depends on r-biobase from Bioconductor.
3911 (define-public r-bisquerna
3912 (package
3913 (name "r-bisquerna")
3914 (version "1.0.5")
3915 (source (origin
3916 (method url-fetch)
3917 (uri (cran-uri "BisqueRNA" version))
3918 (sha256
3919 (base32
3920 "0p3p5lp69gri7vs6qfpm7br4ksbs4l7clm4nj8ki99wpqiqni23n"))))
3921 (properties `((upstream-name . "BisqueRNA")))
3922 (build-system r-build-system)
3923 (propagated-inputs
3924 (list r-biobase r-limsolve))
3925 (native-inputs
3926 (list r-knitr))
3927 (home-page "https://www.biorxiv.org/content/10.1101/669911v1")
3928 (synopsis "Decomposition of bulk expression with single-cell sequencing")
3929 (description "This package provides tools to accurately estimate cell type
3930 abundances from heterogeneous bulk expression. A reference-based method
3931 utilizes single-cell information to generate a signature matrix and
3932 transformation of bulk expression for accurate regression based estimates.
3933 A marker-based method utilizes known cell-specific marker genes to measure
3934 relative abundances across samples.")
3935 (license license:gpl3)))
3936
3937 ;; This is a CRAN package, but it depends on r-bsgenome-hsapiens-ucsc-hg19
3938 ;; from Bioconductor.
3939 (define-public r-deconstructsigs
3940 (package
3941 (name "r-deconstructsigs")
3942 (version "1.8.0")
3943 (source (origin
3944 (method url-fetch)
3945 (uri (cran-uri "deconstructSigs" version))
3946 (sha256
3947 (base32
3948 "014x0nb23jb98666kaav2phkvmkr38pi38jv0dqd4jv7zp0gdf1a"))))
3949 (properties
3950 `((upstream-name . "deconstructSigs")))
3951 (build-system r-build-system)
3952 (propagated-inputs
3953 (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-genomeinfodb
3954 r-reshape2))
3955 (home-page "https://github.com/raerose01/deconstructSigs")
3956 (synopsis "Identifies signatures present in a tumor sample")
3957 (description "This package takes sample information in the form of the
3958 fraction of mutations in each of 96 trinucleotide contexts and identifies
3959 the weighted combination of published signatures that, when summed, most
3960 closely reconstructs the mutational profile.")
3961 (license license:gpl2+)))
3962
3963 ;; This is a CRAN package, but it depends on Bioconductor packages.
3964 (define-public r-jetset
3965 (package
3966 (name "r-jetset")
3967 (version "3.4.0")
3968 (source
3969 (origin
3970 (method url-fetch)
3971 (uri (cran-uri "jetset" version))
3972 (sha256
3973 (base32 "0c99h5npsv2gf5d59s4qhkaqmjhbwa3prcykk24wzhnpfq6y6xhp"))))
3974 (properties `((upstream-name . "jetset")))
3975 (build-system r-build-system)
3976 (propagated-inputs (list r-annotationdbi r-org-hs-eg-db))
3977 (home-page "http://www.cbs.dtu.dk/biotools/jetset/")
3978 (synopsis "One-to-one gene-probeset mapping for Affymetrix human microarrays")
3979 (description
3980 "This package provides a one-to-one mapping from gene to \"best\" probe
3981 set for four Affymetrix human gene expression microarrays: hgu95av2, hgu133a,
3982 hgu133plus2, and u133x3p. On Affymetrix gene expression microarrays, a single
3983 gene may be measured by multiple probe sets. This can present a mild
3984 conundrum when attempting to evaluate a gene \"signature\" that is defined by
3985 gene names rather than by specific probe sets. This package also includes the
3986 pre-calculated probe set quality scores that were used to define the
3987 mapping.")
3988 (license license:artistic2.0)))
3989
3990 ;; This is a CRAN package, but it depends on Bioconductor packages.
3991 (define-public r-nmf
3992 (package
3993 (name "r-nmf")
3994 (version "0.24.0")
3995 (source
3996 (origin
3997 (method url-fetch)
3998 (uri (cran-uri "NMF" version))
3999 (sha256
4000 (base32
4001 "14yxra6in5c1md5nr75y8cdmh9pg0lxqabqflvlhgg1vbg9i2628"))))
4002 (properties `((upstream-name . "NMF")))
4003 (build-system r-build-system)
4004 (propagated-inputs
4005 (list r-cluster
4006 r-biobase
4007 r-biocmanager
4008 r-bigmemory ; suggested
4009 r-synchronicity ; suggested
4010 r-colorspace
4011 r-digest
4012 r-doparallel
4013 r-foreach
4014 r-ggplot2
4015 r-gridbase
4016 r-pkgmaker
4017 r-rcolorbrewer
4018 r-registry
4019 r-reshape2
4020 r-rngtools
4021 r-stringr))
4022 (native-inputs
4023 (list r-knitr))
4024 (home-page "http://renozao.github.io/NMF")
4025 (synopsis "Algorithms and framework for nonnegative matrix factorization")
4026 (description
4027 "This package provides a framework to perform Non-negative Matrix
4028 Factorization (NMF). The package implements a set of already published
4029 algorithms and seeding methods, and provides a framework to test, develop and
4030 plug new or custom algorithms. Most of the built-in algorithms have been
4031 optimized in C++, and the main interface function provides an easy way of
4032 performing parallel computations on multicore machines.")
4033 (license license:gpl2+)))
4034
4035 (define-public r-affy
4036 (package
4037 (name "r-affy")
4038 (version "1.74.0")
4039 (source
4040 (origin
4041 (method url-fetch)
4042 (uri (bioconductor-uri "affy" version))
4043 (sha256
4044 (base32
4045 "02l77y4d4m4jwgkb3jdaskv6shmba5292whp0i29mg9asxv4rdc7"))))
4046 (build-system r-build-system)
4047 (propagated-inputs
4048 (list r-affyio
4049 r-biobase
4050 r-biocgenerics
4051 r-biocmanager
4052 r-preprocesscore
4053 r-zlibbioc))
4054 (inputs
4055 (list zlib))
4056 (home-page "https://bioconductor.org/packages/affy")
4057 (synopsis "Methods for affymetrix oligonucleotide arrays")
4058 (description
4059 "This package contains functions for exploratory oligonucleotide array
4060 analysis.")
4061 (license license:lgpl2.0+)))
4062
4063 (define-public r-affycomp
4064 (package
4065 (name "r-affycomp")
4066 (version "1.72.0")
4067 (source
4068 (origin
4069 (method url-fetch)
4070 (uri (bioconductor-uri "affycomp" version))
4071 (sha256
4072 (base32
4073 "0aq5p56sqpvba0yhgd75302s9bazchh1izgymng6cpb78y5wfpj0"))))
4074 (properties `((upstream-name . "affycomp")))
4075 (build-system r-build-system)
4076 (propagated-inputs (list r-biobase))
4077 (home-page "https://bioconductor.org/packages/affycomp/")
4078 (synopsis "Graphics toolbox for assessment of Affymetrix expression measures")
4079 (description
4080 "The package contains functions that can be used to compare expression
4081 measures for Affymetrix Oligonucleotide Arrays.")
4082 (license license:gpl2+)))
4083
4084 (define-public r-affycompatible
4085 (package
4086 (name "r-affycompatible")
4087 (version "1.56.0")
4088 (source
4089 (origin
4090 (method url-fetch)
4091 (uri (bioconductor-uri "AffyCompatible" version))
4092 (sha256
4093 (base32
4094 "0x3lj1jgqq67389rzfklah5p878ns9b4fpdpz455m2gq9sk7qsda"))))
4095 (properties
4096 `((upstream-name . "AffyCompatible")))
4097 (build-system r-build-system)
4098 (arguments
4099 (list
4100 #:phases
4101 `(modify-phases %standard-phases
4102 (add-after 'unpack 'make-reproducible
4103 (lambda _
4104 ;; Order DTD elements before generating R code from them.
4105 (substitute* "R/methods-AffyCompatible.R"
4106 (("dtd <- .*" m)
4107 (string-append m "
4108 elements <- dtd$elements
4109 ordered <- elements[order(names(elements))]\n"))
4110 (("elt in dtd\\$elements")
4111 "elt in ordered"))
4112 ;; Use a predictable directory name for code generation.
4113 (mkdir-p "/tmp/NetAffxResourcePrototype")
4114 (substitute* "R/DataClasses.R"
4115 (("directory=tempdir\\(\\)")
4116 "directory=\"/tmp/NetAffxResourcePrototype\"")))))))
4117 (propagated-inputs
4118 (list r-biostrings r-rcurl r-xml))
4119 (home-page "https://bioconductor.org/packages/AffyCompatible/")
4120 (synopsis "Work with Affymetrix GeneChip files")
4121 (description
4122 "This package provides an interface to Affymetrix chip annotation and
4123 sample attribute files. The package allows an easy way for users to download
4124 and manage local data bases of Affynmetrix NetAffx annotation files. It also
4125 provides access to @dfn{GeneChip Operating System} (GCOS) and @dfn{GeneChip
4126 Command Console} (AGCC)-compatible sample annotation files.")
4127 (license license:artistic2.0)))
4128
4129 (define-public r-affycontam
4130 (package
4131 (name "r-affycontam")
4132 (version "1.54.0")
4133 (source
4134 (origin
4135 (method url-fetch)
4136 (uri (bioconductor-uri "affyContam" version))
4137 (sha256
4138 (base32
4139 "1pyd4rj6pp139kvhh97whi4afvx029w5lglr4mnscw7m3f618v0p"))))
4140 (properties `((upstream-name . "affyContam")))
4141 (build-system r-build-system)
4142 (propagated-inputs
4143 (list r-affy r-affydata r-biobase))
4144 (home-page "https://bioconductor.org/packages/affyContam/")
4145 (synopsis "Structured corruption of Affymetrix CEL file data")
4146 (description
4147 "Microarray quality assessment is a major concern of microarray analysts.
4148 This package provides some simple approaches to in silico creation of quality
4149 problems in CEL-level data to help evaluate performance of quality metrics.")
4150 (license license:artistic2.0)))
4151
4152 (define-public r-affycoretools
4153 (package
4154 (name "r-affycoretools")
4155 (version "1.68.1")
4156 (source
4157 (origin
4158 (method url-fetch)
4159 (uri (bioconductor-uri "affycoretools" version))
4160 (sha256
4161 (base32
4162 "05x64hy5jpmg973biwq4q9gzy1n0iqc0pxrix1f6bri1w6vil3ww"))))
4163 (properties `((upstream-name . "affycoretools")))
4164 (build-system r-build-system)
4165 (propagated-inputs
4166 (list r-affy
4167 r-annotationdbi
4168 r-biobase
4169 r-biocgenerics
4170 r-dbi
4171 r-edger
4172 r-gcrma
4173 r-glimma
4174 r-ggplot2
4175 r-gostats
4176 r-gplots
4177 r-hwriter
4178 r-lattice
4179 r-limma
4180 r-oligoclasses
4181 r-reportingtools
4182 r-rsqlite
4183 r-s4vectors
4184 r-xtable))
4185 (native-inputs
4186 (list r-knitr))
4187 (home-page "https://bioconductor.org/packages/affycoretools/")
4188 (synopsis "Functions for analyses with Affymetrix GeneChips")
4189 (description
4190 "This package provides various wrapper functions that have been written
4191 to streamline the more common analyses that a Biostatistician might see.")
4192 (license license:artistic2.0)))
4193
4194 (define-public r-affyio
4195 (package
4196 (name "r-affyio")
4197 (version "1.66.0")
4198 (source
4199 (origin
4200 (method url-fetch)
4201 (uri (bioconductor-uri "affyio" version))
4202 (sha256
4203 (base32
4204 "19cw82qvzkz6vh2gm302y7digsf6xif7c9l2q9s6lkx2yflqpgfp"))))
4205 (build-system r-build-system)
4206 (propagated-inputs
4207 (list r-zlibbioc))
4208 (inputs
4209 (list zlib))
4210 (home-page "https://github.com/bmbolstad/affyio")
4211 (synopsis "Tools for parsing Affymetrix data files")
4212 (description
4213 "This package provides routines for parsing Affymetrix data files based
4214 upon file format information. The primary focus is on accessing the CEL and
4215 CDF file formats.")
4216 (license license:lgpl2.0+)))
4217
4218 (define-public r-affxparser
4219 (package
4220 (name "r-affxparser")
4221 (version "1.68.1")
4222 (source
4223 (origin
4224 (method url-fetch)
4225 (uri (bioconductor-uri "affxparser" version))
4226 (sha256
4227 (base32
4228 "16x92gwsy7zdyz4md4cw847xn2ymqd6gqsn0rlr2nnf3qmnjnils"))))
4229 (properties `((upstream-name . "affxparser")))
4230 (build-system r-build-system)
4231 (home-page "https://github.com/HenrikBengtsson/affxparser")
4232 (synopsis "Affymetrix File Parsing SDK")
4233 (description
4234 "This is a package for parsing Affymetrix files (CDF, CEL, CHP, BPMAP,
4235 BAR). It provides methods for fast and memory efficient parsing of Affymetrix
4236 files using the Affymetrix' Fusion SDK. Both ASCII- and binary-based files
4237 are supported. Currently, there are methods for reading @dfn{chip definition
4238 file} (CDF) and a @dfn{cell intensity file} (CEL). These files can be read
4239 either in full or in part. For example, probe signals from a few probesets
4240 can be extracted very quickly from a set of CEL files into a convenient list
4241 structure.")
4242 ;; The Fusion SDK contains files under GPLv2 and LGPLv2.1. The R code is
4243 ;; under LGPLv2+.
4244 (license (list license:lgpl2.0+ license:lgpl2.1 license:gpl2))))
4245
4246 (define-public r-annotate
4247 (package
4248 (name "r-annotate")
4249 (version "1.74.0")
4250 (source
4251 (origin
4252 (method url-fetch)
4253 (uri (bioconductor-uri "annotate" version))
4254 (sha256
4255 (base32
4256 "0x6vddpiw2g713vicf70198x8dlrwf36p8jjygdsfnl56ls5bh2g"))))
4257 (build-system r-build-system)
4258 (propagated-inputs
4259 (list r-annotationdbi
4260 r-biobase
4261 r-biocgenerics
4262 r-dbi
4263 r-httr
4264 r-xml
4265 r-xtable))
4266 (home-page
4267 "https://bioconductor.org/packages/annotate")
4268 (synopsis "Annotation for microarrays")
4269 (description "This package provides R environments for the annotation of
4270 microarrays.")
4271 (license license:artistic2.0)))
4272
4273 (define-public r-annotationdbi
4274 (package
4275 (name "r-annotationdbi")
4276 (version "1.58.0")
4277 (source (origin
4278 (method url-fetch)
4279 (uri (bioconductor-uri "AnnotationDbi" version))
4280 (sha256
4281 (base32
4282 "15cwy7lic89jwl3dr7j4pb5bx457jdpvzvylr71624s0p0j9rgwn"))))
4283 (properties
4284 `((upstream-name . "AnnotationDbi")))
4285 (build-system r-build-system)
4286 (propagated-inputs
4287 (list r-biobase
4288 r-biocgenerics
4289 r-dbi
4290 r-keggrest
4291 r-iranges
4292 r-rsqlite
4293 r-s4vectors))
4294 (native-inputs
4295 (list r-knitr))
4296 (home-page "https://bioconductor.org/packages/AnnotationDbi")
4297 (synopsis "Annotation database interface")
4298 (description
4299 "This package provides user interface and database connection code for
4300 annotation data packages using SQLite data storage.")
4301 (license license:artistic2.0)))
4302
4303 (define-public r-annotationfilter
4304 (package
4305 (name "r-annotationfilter")
4306 (version "1.20.0")
4307 (source (origin
4308 (method url-fetch)
4309 (uri (bioconductor-uri "AnnotationFilter" version))
4310 (sha256
4311 (base32
4312 "082lpcd6yr2nkxndlck2wqqd3nfdx7lnpw8barxgv41q4l7v4ald"))))
4313 (properties
4314 `((upstream-name . "AnnotationFilter")))
4315 (build-system r-build-system)
4316 (propagated-inputs
4317 (list r-genomicranges r-lazyeval))
4318 (native-inputs
4319 (list r-knitr))
4320 (home-page "https://github.com/Bioconductor/AnnotationFilter")
4321 (synopsis "Facilities for filtering Bioconductor annotation resources")
4322 (description
4323 "This package provides classes and other infrastructure to implement
4324 filters for manipulating Bioconductor annotation resources. The filters are
4325 used by @code{ensembldb}, @code{Organism.dplyr}, and other packages.")
4326 (license license:artistic2.0)))
4327
4328 (define-public r-annotationforge
4329 (package
4330 (name "r-annotationforge")
4331 (version "1.38.1")
4332 (source
4333 (origin
4334 (method url-fetch)
4335 (uri (bioconductor-uri "AnnotationForge" version))
4336 (sha256
4337 (base32
4338 "0lcr79a3570h7zg4z691gxg2vlyqnars5811q0clzinbmq7b4x3v"))))
4339 (properties
4340 `((upstream-name . "AnnotationForge")))
4341 (build-system r-build-system)
4342 (propagated-inputs
4343 (list r-annotationdbi
4344 r-biobase
4345 r-biocgenerics
4346 r-dbi
4347 r-rcurl
4348 r-rsqlite
4349 r-s4vectors
4350 r-xml))
4351 (native-inputs
4352 (list r-knitr))
4353 (home-page "https://bioconductor.org/packages/AnnotationForge")
4354 (synopsis "Code for building annotation database packages")
4355 (description
4356 "This package provides code for generating Annotation packages and their
4357 databases. Packages produced are intended to be used with AnnotationDbi.")
4358 (license license:artistic2.0)))
4359
4360 (define-public r-annotationhub
4361 (package
4362 (name "r-annotationhub")
4363 (version "3.4.0")
4364 (source
4365 (origin
4366 (method url-fetch)
4367 (uri (bioconductor-uri "AnnotationHub" version))
4368 (sha256
4369 (base32
4370 "03dmbx43rsv9xv94lk12gpraq47ryc13jijwma3q05hl9wn8xjxs"))))
4371 (properties `((upstream-name . "AnnotationHub")))
4372 (build-system r-build-system)
4373 (propagated-inputs
4374 (list r-annotationdbi
4375 r-biocfilecache
4376 r-biocgenerics
4377 r-biocmanager
4378 r-biocversion
4379 r-curl
4380 r-dplyr
4381 r-httr
4382 r-interactivedisplaybase
4383 r-rappdirs
4384 r-rsqlite
4385 r-s4vectors
4386 r-yaml))
4387 (native-inputs
4388 (list r-knitr))
4389 (home-page "https://bioconductor.org/packages/AnnotationHub")
4390 (synopsis "Client to access AnnotationHub resources")
4391 (description
4392 "This package provides a client for the Bioconductor AnnotationHub web
4393 resource. The AnnotationHub web resource provides a central location where
4394 genomic files (e.g. VCF, bed, wig) and other resources from standard
4395 locations (e.g. UCSC, Ensembl) can be discovered. The resource includes
4396 metadata about each resource, e.g., a textual description, tags, and date of
4397 modification. The client creates and manages a local cache of files retrieved
4398 by the user, helping with quick and reproducible access.")
4399 (license license:artistic2.0)))
4400
4401 (define-public r-aroma-light
4402 (package
4403 (name "r-aroma-light")
4404 (version "3.26.0")
4405 (source
4406 (origin
4407 (method url-fetch)
4408 (uri (bioconductor-uri "aroma.light" version))
4409 (sha256
4410 (base32
4411 "1240v9wvsf205g998ms19hncki8g6shidg09dy5np9pqpiix4vys"))))
4412 (properties `((upstream-name . "aroma.light")))
4413 (build-system r-build-system)
4414 (propagated-inputs
4415 (list r-matrixstats r-r-methodss3 r-r-oo r-r-utils))
4416 (home-page "https://github.com/HenrikBengtsson/aroma.light")
4417 (synopsis "Methods for normalization and visualization of microarray data")
4418 (description
4419 "This package provides methods for microarray analysis that take basic
4420 data types such as matrices and lists of vectors. These methods can be used
4421 standalone, be utilized in other packages, or be wrapped up in higher-level
4422 classes.")
4423 (license license:gpl2+)))
4424
4425 (define-public r-bamsignals
4426 (package
4427 (name "r-bamsignals")
4428 (version "1.28.0")
4429 (source
4430 (origin
4431 (method url-fetch)
4432 (uri (bioconductor-uri "bamsignals" version))
4433 (sha256
4434 (base32
4435 "0ywbxq829hclhr5bb6p77rspxvfs580zlwd2f5kr3an6rdgyx9ky"))))
4436 (build-system r-build-system)
4437 (propagated-inputs
4438 (list r-biocgenerics
4439 r-genomicranges
4440 r-iranges
4441 r-rcpp
4442 r-rhtslib
4443 r-zlibbioc))
4444 (native-inputs
4445 (list r-knitr))
4446 (home-page "https://bioconductor.org/packages/bamsignals")
4447 (synopsis "Extract read count signals from bam files")
4448 (description
4449 "This package efficiently obtains count vectors from indexed bam
4450 files. It counts the number of nucleotide sequence reads in given genomic
4451 ranges and it computes reads profiles and coverage profiles. It also handles
4452 paired-end data.")
4453 (license license:gpl2+)))
4454
4455 (define-public r-biobase
4456 (package
4457 (name "r-biobase")
4458 (version "2.56.0")
4459 (source (origin
4460 (method url-fetch)
4461 (uri (bioconductor-uri "Biobase" version))
4462 (sha256
4463 (base32
4464 "1mnxky78an079p60427cjvk4fzilp0xzy6b85fq274qvdcrz8jbv"))))
4465 (properties
4466 `((upstream-name . "Biobase")))
4467 (build-system r-build-system)
4468 (propagated-inputs
4469 (list r-biocgenerics))
4470 (home-page "https://bioconductor.org/packages/Biobase")
4471 (synopsis "Base functions for Bioconductor")
4472 (description
4473 "This package provides functions that are needed by many other packages
4474 on Bioconductor or which replace R functions.")
4475 (license license:artistic2.0)))
4476
4477 (define-public r-biomart
4478 (package
4479 (name "r-biomart")
4480 (version "2.52.0")
4481 (source (origin
4482 (method url-fetch)
4483 (uri (bioconductor-uri "biomaRt" version))
4484 (sha256
4485 (base32
4486 "0yn3kanyrplc89a900xiz33nw1v23mkljvd5isizgs8gzvwzf8xg"))))
4487 (properties
4488 `((upstream-name . "biomaRt")))
4489 (build-system r-build-system)
4490 (propagated-inputs
4491 (list r-annotationdbi
4492 r-biocfilecache
4493 r-digest
4494 r-httr
4495 r-progress
4496 r-rappdirs
4497 r-stringr
4498 r-xml
4499 r-xml2))
4500 (native-inputs
4501 (list r-knitr))
4502 (home-page "https://bioconductor.org/packages/biomaRt")
4503 (synopsis "Interface to BioMart databases")
4504 (description
4505 "biomaRt provides an interface to a growing collection of databases
4506 implementing the @url{BioMart software suite, http://www.biomart.org}. The
4507 package enables retrieval of large amounts of data in a uniform way without
4508 the need to know the underlying database schemas or write complex SQL queries.
4509 Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene,
4510 Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt
4511 users direct access to a diverse set of data and enable a wide range of
4512 powerful online queries from gene annotation to database mining.")
4513 (license license:artistic2.0)))
4514
4515 ;; This is a CRAN package, but it depends on a Bioconductor package:
4516 ;; r-biomart
4517 (define-public r-biomartr
4518 (package
4519 (name "r-biomartr")
4520 (version "1.0.2")
4521 (source (origin
4522 (method url-fetch)
4523 (uri (cran-uri "biomartr" version))
4524 (sha256
4525 (base32
4526 "0hr7wks88lbfcqzjzm4x265dk4lpmc3i2ndp7xcrx8ssj76wrmkz"))))
4527 (properties `((upstream-name . "biomartr")))
4528 (build-system r-build-system)
4529 (propagated-inputs
4530 (list r-biomart
4531 r-biostrings
4532 r-curl
4533 r-data-table
4534 r-downloader
4535 r-dplyr
4536 r-fs
4537 r-httr
4538 r-jsonlite
4539 r-philentropy
4540 r-purrr
4541 r-r-utils
4542 r-rcurl
4543 r-readr
4544 r-stringr
4545 r-tibble
4546 r-withr
4547 r-xml))
4548 (native-inputs (list r-knitr))
4549 (home-page "https://docs.ropensci.org/biomartr/")
4550 (synopsis "Genomic data retrieval")
4551 (description
4552 "Perform large scale genomic data retrieval and functional annotation
4553 retrieval. This package aims to provide users with a standardized way to
4554 automate genome, proteome, RNA, coding sequence (CDS), GFF, and metagenome
4555 retrieval from NCBI RefSeq, NCBI Genbank, ENSEMBL, and UniProt databases.
4556 Furthermore, an interface to the BioMart database allows users to retrieve
4557 functional annotation for genomic loci. In addition, users can download
4558 entire databases such as NCBI RefSeq, NCBI nr, NCBI nt, NCBI Genbank, etc with
4559 only one command.")
4560 (license license:gpl2)))
4561
4562 (define-public r-biocparallel
4563 (package
4564 (name "r-biocparallel")
4565 (version "1.30.3")
4566 (source (origin
4567 (method url-fetch)
4568 (uri (bioconductor-uri "BiocParallel" version))
4569 (sha256
4570 (base32
4571 "1rs3wmasl9mx7f399iclvm0bnvggvjj2a88zbi294r5m8wxqlc92"))))
4572 (properties
4573 `((upstream-name . "BiocParallel")))
4574 (build-system r-build-system)
4575 (arguments
4576 `(#:phases
4577 (modify-phases %standard-phases
4578 (add-after 'unpack 'make-reproducible
4579 (lambda _
4580 ;; Remove generated documentation.
4581 (for-each delete-file
4582 '("inst/doc/BiocParallel_BatchtoolsParam.pdf"
4583 "inst/doc/Introduction_To_BiocParallel.pdf"
4584 "inst/doc/Errors_Logs_And_Debugging.pdf"
4585 "inst/doc/BiocParallel_BatchtoolsParam.R"
4586 "inst/doc/Introduction_To_BiocParallel.R"
4587 "inst/doc/Errors_Logs_And_Debugging.R"))
4588
4589 ;; Remove time-dependent macro
4590 (substitute* '("inst/doc/BiocParallel_BatchtoolsParam.Rnw"
4591 "inst/doc/Introduction_To_BiocParallel.Rnw"
4592 "inst/doc/Errors_Logs_And_Debugging.Rnw"
4593 "vignettes/BiocParallel_BatchtoolsParam.Rnw"
4594 "vignettes/Introduction_To_BiocParallel.Rnw"
4595 "vignettes/Errors_Logs_And_Debugging.Rnw")
4596 (("\\today") "later"))
4597
4598 ;; Initialize the random number generator seed when building.
4599 (substitute* "R/rng.R"
4600 (("\"L'Ecuyer-CMRG\"\\)" m)
4601 (string-append
4602 m "; if (!is.na(Sys.getenv(\"SOURCE_DATE_EPOCH\"))) {set.seed(100)}\n"))))))))
4603 (propagated-inputs
4604 (list r-bh r-codetools r-futile-logger r-snow))
4605 (native-inputs
4606 (list r-knitr))
4607 (home-page "https://bioconductor.org/packages/BiocParallel")
4608 (synopsis "Bioconductor facilities for parallel evaluation")
4609 (description
4610 "This package provides modified versions and novel implementation of
4611 functions for parallel evaluation, tailored to use with Bioconductor
4612 objects.")
4613 (license (list license:gpl2+ license:gpl3+))))
4614
4615 (define-public r-biostrings
4616 (package
4617 (name "r-biostrings")
4618 (version "2.64.1")
4619 (source (origin
4620 (method url-fetch)
4621 (uri (bioconductor-uri "Biostrings" version))
4622 (sha256
4623 (base32
4624 "1wk8nlmp6f6fsjrcb4fb48s3ay38yywwad748i6lfkkcw2pdfw33"))))
4625 (properties
4626 `((upstream-name . "Biostrings")))
4627 (build-system r-build-system)
4628 (propagated-inputs
4629 (list r-biocgenerics
4630 r-crayon
4631 r-genomeinfodb
4632 r-iranges
4633 r-s4vectors
4634 r-xvector))
4635 (home-page "https://bioconductor.org/packages/Biostrings")
4636 (synopsis "String objects and algorithms for biological sequences")
4637 (description
4638 "This package provides memory efficient string containers, string
4639 matching algorithms, and other utilities, for fast manipulation of large
4640 biological sequences or sets of sequences.")
4641 (license license:artistic2.0)))
4642
4643 (define-public r-biovizbase
4644 (package
4645 (name "r-biovizbase")
4646 (version "1.44.0")
4647 (source
4648 (origin
4649 (method url-fetch)
4650 (uri (bioconductor-uri "biovizBase" version))
4651 (sha256
4652 (base32
4653 "1ffzf7yvl47l8v8a50m8g9q33hgwvxg4fcm8ld2yy8hd2zl86zyd"))))
4654 (properties `((upstream-name . "biovizBase")))
4655 (build-system r-build-system)
4656 (propagated-inputs
4657 (list r-annotationdbi
4658 r-annotationfilter
4659 r-biocgenerics
4660 r-biostrings
4661 r-dichromat
4662 r-ensembldb
4663 r-genomeinfodb
4664 r-genomicalignments
4665 r-genomicfeatures
4666 r-genomicranges
4667 r-hmisc
4668 r-iranges
4669 r-rcolorbrewer
4670 r-rlang
4671 r-rsamtools
4672 r-s4vectors
4673 r-scales
4674 r-summarizedexperiment
4675 r-variantannotation))
4676 (home-page "https://bioconductor.org/packages/biovizBase")
4677 (synopsis "Basic graphic utilities for visualization of genomic data")
4678 (description
4679 "The biovizBase package is designed to provide a set of utilities, color
4680 schemes and conventions for genomic data. It serves as the base for various
4681 high-level packages for biological data visualization. This saves development
4682 effort and encourages consistency.")
4683 (license license:artistic2.0)))
4684
4685 (define-public r-bsgenome
4686 (package
4687 (name "r-bsgenome")
4688 (version "1.64.0")
4689 (source (origin
4690 (method url-fetch)
4691 (uri (bioconductor-uri "BSgenome" version))
4692 (sha256
4693 (base32
4694 "17gqrmaf6xxghgrzcansl9gfw3ghkrqp87swlnwgyghqvflr5qxc"))))
4695 (properties
4696 `((upstream-name . "BSgenome")))
4697 (build-system r-build-system)
4698 (propagated-inputs
4699 (list r-biocgenerics
4700 r-biostrings
4701 r-genomeinfodb
4702 r-genomicranges
4703 r-iranges
4704 r-matrixstats
4705 r-rsamtools
4706 r-rtracklayer
4707 r-s4vectors
4708 r-xvector))
4709 (home-page "https://bioconductor.org/packages/BSgenome")
4710 (synopsis "Infrastructure for Biostrings-based genome data packages")
4711 (description
4712 "This package provides infrastructure shared by all Biostrings-based
4713 genome data packages and support for efficient SNP representation.")
4714 (license license:artistic2.0)))
4715
4716 (define-public r-category
4717 (package
4718 (name "r-category")
4719 (version "2.62.0")
4720 (source
4721 (origin
4722 (method url-fetch)
4723 (uri (bioconductor-uri "Category" version))
4724 (sha256
4725 (base32
4726 "07js03cfdd6gzbzw14iavlqxynfcqszh988v6k1a3h074wxiivqd"))))
4727 (properties `((upstream-name . "Category")))
4728 (build-system r-build-system)
4729 (propagated-inputs
4730 (list r-annotate
4731 r-annotationdbi
4732 r-biobase
4733 r-biocgenerics
4734 r-genefilter
4735 r-graph
4736 r-gseabase
4737 r-matrix
4738 r-rbgl
4739 r-dbi))
4740 (home-page "https://bioconductor.org/packages/Category")
4741 (synopsis "Category analysis")
4742 (description
4743 "This package provides a collection of tools for performing category
4744 analysis.")
4745 (license license:artistic2.0)))
4746
4747 (define-public r-chipseeker
4748 (package
4749 (name "r-chipseeker")
4750 (version "1.32.1")
4751 (source (origin
4752 (method url-fetch)
4753 (uri (bioconductor-uri "ChIPseeker" version))
4754 (sha256
4755 (base32
4756 "0l2514wvlc8q7n1zjzfrghdg372sp73z39204bkif3g6pdkcvbcf"))))
4757 (build-system r-build-system)
4758 (native-inputs
4759 (list r-knitr))
4760 (propagated-inputs
4761 (list r-annotationdbi
4762 r-biocgenerics
4763 r-boot
4764 r-enrichplot
4765 r-iranges
4766 r-genomeinfodb
4767 r-genomicranges
4768 r-genomicfeatures
4769 r-ggplot2
4770 r-ggvenndiagram
4771 r-gplots
4772 r-gtools
4773 r-dplyr
4774 r-plotrix
4775 r-dplyr
4776 r-magrittr
4777 r-rcolorbrewer
4778 r-rtracklayer
4779 r-s4vectors
4780 r-txdb-hsapiens-ucsc-hg19-knowngene))
4781 (home-page "https://www.bioconductor.org/packages/ChIPseeker/")
4782 (synopsis "ChIPseeker for ChIP peak annotation, comparison, and visualization")
4783 (description "This package implements functions to retrieve the nearest
4784 genes around the peak, annotate genomic region of the peak, statstical methods
4785 for estimate the significance of overlap among ChIP peak data sets, and
4786 incorporate GEO database for user to compare the own dataset with those
4787 deposited in database. The comparison can be used to infer cooperative
4788 regulation and thus can be used to generate hypotheses. Several visualization
4789 functions are implemented to summarize the coverage of the peak experiment,
4790 average profile and heatmap of peaks binding to TSS regions, genomic
4791 annotation, distance to TSS, and overlap of peaks or genes.")
4792 (license license:artistic2.0)))
4793
4794 (define-public r-chipseq
4795 (package
4796 (name "r-chipseq")
4797 (version "1.46.0")
4798 (source
4799 (origin
4800 (method url-fetch)
4801 (uri (bioconductor-uri "chipseq" version))
4802 (sha256
4803 (base32
4804 "1vh0hvgnw7ykj401v1q807sl14s4nixp1d8xbm41n01q6w8x834i"))))
4805 (build-system r-build-system)
4806 (propagated-inputs
4807 (list r-biocgenerics
4808 r-genomicranges
4809 r-iranges
4810 r-lattice
4811 r-s4vectors
4812 r-shortread))
4813 (home-page "https://bioconductor.org/packages/chipseq")
4814 (synopsis "Package for analyzing ChIPseq data")
4815 (description
4816 "This package provides tools for processing short read data from ChIPseq
4817 experiments.")
4818 (license license:artistic2.0)))
4819
4820 (define-public r-complexheatmap
4821 (package
4822 (name "r-complexheatmap")
4823 (version "2.12.1")
4824 (source
4825 (origin
4826 (method url-fetch)
4827 (uri (bioconductor-uri "ComplexHeatmap" version))
4828 (sha256
4829 (base32
4830 "0b4p3ijhdcydfp0j58xlb5dn7d3m2x420n91rl9diqpg4r2gl0s8"))))
4831 (properties
4832 `((upstream-name . "ComplexHeatmap")))
4833 (build-system r-build-system)
4834 (propagated-inputs
4835 (list r-circlize
4836 r-clue
4837 r-codetools
4838 r-colorspace
4839 r-digest
4840 r-doparallel
4841 r-foreach
4842 r-getoptlong
4843 r-globaloptions
4844 r-iranges
4845 r-matrixstats
4846 r-png
4847 r-rcolorbrewer))
4848 (native-inputs
4849 (list r-knitr))
4850 (home-page
4851 "https://github.com/jokergoo/ComplexHeatmap")
4852 (synopsis "Making Complex Heatmaps")
4853 (description
4854 "Complex heatmaps are efficient to visualize associations between
4855 different sources of data sets and reveal potential structures. This package
4856 provides a highly flexible way to arrange multiple heatmaps and supports
4857 self-defined annotation graphics.")
4858 (license license:gpl2+)))
4859
4860 (define-public r-copywriter
4861 (package
4862 (name "r-copywriter")
4863 (version "2.28.0")
4864 (source
4865 (origin
4866 (method url-fetch)
4867 (uri (bioconductor-uri "CopywriteR" version))
4868 (sha256
4869 (base32
4870 "1k11kvam96hpg71hz2n9cfzizmb7d1bmq5zfvm34s7fn09is60xb"))))
4871 (properties `((upstream-name . "CopywriteR")))
4872 (build-system r-build-system)
4873 (propagated-inputs
4874 (list r-biocparallel
4875 r-chipseq
4876 r-copyhelper
4877 r-data-table
4878 r-dnacopy
4879 r-futile-logger
4880 r-genomeinfodb
4881 r-genomicalignments
4882 r-genomicranges
4883 r-gtools
4884 r-iranges
4885 r-matrixstats
4886 r-rsamtools
4887 r-s4vectors))
4888 (home-page "https://github.com/PeeperLab/CopywriteR")
4889 (synopsis "Copy number information from targeted sequencing")
4890 (description
4891 "CopywriteR extracts DNA copy number information from targeted sequencing
4892 by utilizing off-target reads. It allows for extracting uniformly distributed
4893 copy number information, can be used without reference, and can be applied to
4894 sequencing data obtained from various techniques including chromatin
4895 immunoprecipitation and target enrichment on small gene panels. Thereby,
4896 CopywriteR constitutes a widely applicable alternative to available copy
4897 number detection tools.")
4898 (license license:gpl2)))
4899
4900 (define-public r-deseq
4901 (package
4902 (name "r-deseq")
4903 (version "1.39.0")
4904 (source
4905 (origin
4906 (method url-fetch)
4907 (uri (bioconductor-uri "DESeq" version))
4908 (sha256
4909 (base32
4910 "047hph5aqmjnz1aqprziw0smdn5lf96hmwpnvqrxv1j2yfvcf3h1"))))
4911 (properties `((upstream-name . "DESeq")))
4912 (build-system r-build-system)
4913 (propagated-inputs
4914 (list r-biobase
4915 r-biocgenerics
4916 r-genefilter
4917 r-geneplotter
4918 r-lattice
4919 r-locfit
4920 r-mass
4921 r-rcolorbrewer))
4922 (home-page "https://www-huber.embl.de/users/anders/DESeq/")
4923 (synopsis "Differential gene expression analysis")
4924 (description
4925 "This package provides tools for estimating variance-mean dependence in
4926 count data from high-throughput genetic sequencing assays and for testing for
4927 differential expression based on a model using the negative binomial
4928 distribution.")
4929 (license license:gpl3+)))
4930
4931 (define-public r-deseq2
4932 (package
4933 (name "r-deseq2")
4934 (version "1.36.0")
4935 (source
4936 (origin
4937 (method url-fetch)
4938 (uri (bioconductor-uri "DESeq2" version))
4939 (sha256
4940 (base32
4941 "06mvb0jqn2fg96wfwspv0kzpa8xpimzaldrcy8m2d4yk76xwsdr7"))))
4942 (properties `((upstream-name . "DESeq2")))
4943 (build-system r-build-system)
4944 (propagated-inputs
4945 (list r-biobase
4946 r-biocgenerics
4947 r-biocparallel
4948 r-genefilter
4949 r-geneplotter
4950 r-genomicranges
4951 r-ggplot2
4952 r-iranges
4953 r-locfit
4954 r-rcpp
4955 r-rcpparmadillo
4956 r-s4vectors
4957 r-summarizedexperiment))
4958 (native-inputs
4959 (list r-knitr))
4960 (home-page "https://bioconductor.org/packages/DESeq2")
4961 (synopsis "Differential gene expression analysis")
4962 (description
4963 "This package provides functions to estimate variance-mean dependence in
4964 count data from high-throughput nucleotide sequencing assays and test for
4965 differential expression based on a model using the negative binomial
4966 distribution.")
4967 (license license:lgpl3+)))
4968
4969 (define-public r-dexseq
4970 (package
4971 (name "r-dexseq")
4972 (version "1.42.0")
4973 (source
4974 (origin
4975 (method url-fetch)
4976 (uri (bioconductor-uri "DEXSeq" version))
4977 (sha256
4978 (base32
4979 "1dzx9mvm8pvcrwr88rin3flnpmzp3vq8mvspx9s8virqhv1102am"))))
4980 (properties `((upstream-name . "DEXSeq")))
4981 (build-system r-build-system)
4982 (propagated-inputs
4983 (list r-annotationdbi
4984 r-biobase
4985 r-biocgenerics
4986 r-biocparallel
4987 r-biomart
4988 r-deseq2
4989 r-genefilter
4990 r-geneplotter
4991 r-genomicranges
4992 r-hwriter
4993 r-iranges
4994 r-rcolorbrewer
4995 r-rsamtools
4996 r-s4vectors
4997 r-statmod
4998 r-stringr
4999 r-summarizedexperiment))
5000 (native-inputs
5001 (list r-knitr))
5002 (home-page "https://bioconductor.org/packages/DEXSeq")
5003 (synopsis "Inference of differential exon usage in RNA-Seq")
5004 (description
5005 "This package is focused on finding differential exon usage using RNA-seq
5006 exon counts between samples with different experimental designs. It provides
5007 functions that allows the user to make the necessary statistical tests based
5008 on a model that uses the negative binomial distribution to estimate the
5009 variance between biological replicates and generalized linear models for
5010 testing. The package also provides functions for the visualization and
5011 exploration of the results.")
5012 (license license:gpl3+)))
5013
5014 (define-public r-diffcyt
5015 (package
5016 (name "r-diffcyt")
5017 (version "1.16.0")
5018 (source
5019 (origin
5020 (method url-fetch)
5021 (uri (bioconductor-uri "diffcyt" version))
5022 (sha256
5023 (base32 "0mysylzmg24g7lm1xan4yklzqmskfgh53j6vjcz2gzakz5rq3rdb"))))
5024 (properties `((upstream-name . "diffcyt")))
5025 (build-system r-build-system)
5026 (propagated-inputs
5027 (list r-circlize
5028 r-complexheatmap
5029 r-dplyr
5030 r-edger
5031 r-flowcore
5032 r-flowsom
5033 r-limma
5034 r-lme4
5035 r-magrittr
5036 r-multcomp
5037 r-reshape2
5038 r-s4vectors
5039 r-summarizedexperiment
5040 r-tidyr))
5041 (native-inputs (list r-knitr))
5042 (home-page "https://github.com/lmweber/diffcyt")
5043 (synopsis "Differential discovery in high-dimensional cytometry")
5044 (description
5045 "This package provides statistical methods for differential discovery
5046 analyses in high-dimensional cytometry data (including flow cytometry, mass
5047 cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a
5048 combination of high-resolution clustering and empirical Bayes moderated tests
5049 adapted from transcriptomics.")
5050 (license license:expat)))
5051
5052 (define-public r-dirichletmultinomial
5053 (package
5054 (name "r-dirichletmultinomial")
5055 (version "1.38.0")
5056 (source
5057 (origin
5058 (method url-fetch)
5059 (uri (bioconductor-uri "DirichletMultinomial" version))
5060 (sha256
5061 (base32
5062 "15l0h2qz80lmrm5rva3v7lkgddn42igyxxwims57zwpwyhrk9bmx"))))
5063 (properties
5064 `((upstream-name . "DirichletMultinomial")))
5065 (build-system r-build-system)
5066 (inputs
5067 (list gsl))
5068 (propagated-inputs
5069 (list r-biocgenerics r-iranges r-s4vectors))
5070 (home-page "https://bioconductor.org/packages/DirichletMultinomial")
5071 (synopsis "Dirichlet-Multinomial mixture models for microbiome data")
5072 (description
5073 "Dirichlet-multinomial mixture models can be used to describe variability
5074 in microbial metagenomic data. This package is an interface to code
5075 originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2):
5076 1-15.")
5077 (license license:lgpl3)))
5078
5079 (define-public r-dittoseq
5080 (package
5081 (name "r-dittoseq")
5082 (version "1.8.1")
5083 (source (origin
5084 (method url-fetch)
5085 (uri (bioconductor-uri "dittoSeq" version))
5086 (sha256
5087 (base32
5088 "0vi0hcyffaxp6yxsrq95bdlrhr85dvbqm9c7rg6a6blkfgwhlzb4"))))
5089 (properties `((upstream-name . "dittoSeq")))
5090 (build-system r-build-system)
5091 (propagated-inputs
5092 (list r-colorspace
5093 r-cowplot
5094 r-ggplot2
5095 r-ggrepel
5096 r-ggridges
5097 r-gridextra
5098 r-pheatmap
5099 r-reshape2
5100 r-s4vectors
5101 r-singlecellexperiment
5102 r-summarizedexperiment))
5103 (native-inputs (list r-knitr))
5104 (home-page "https://bioconductor.org/packages/dittoSeq")
5105 (synopsis "Single-cell and bulk RNA sequencing visualization")
5106 (description
5107 "This package provides a universal, user friendly, single-cell and bulk RNA
5108 sequencing visualization toolkit that allows highly customizable creation of
5109 color blindness friendly, publication-quality figures. dittoSeq accepts both
5110 SingleCellExperiment (SCE) and Seurat objects, as well as the import and
5111 usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk data.
5112 Visualizations include dimensionality reduction plots, heatmaps, scatterplots,
5113 percent composition or expression across groups, and more. Customizations
5114 range from size and title adjustments to automatic generation of annotations
5115 for heatmaps, overlay of trajectory analysis onto any dimensionality reduciton
5116 plot, hidden data overlay upon cursor hovering via ggplotly conversion, and
5117 many more. All with simple, discrete inputs. Color blindness friendliness is
5118 powered by legend adjustments (enlarged keys), and by allowing the use of
5119 shapes or letter-overlay in addition to the carefully selected
5120 code{dittoColors()}.")
5121 (license license:expat)))
5122
5123 (define-public r-edaseq
5124 (package
5125 (name "r-edaseq")
5126 (version "2.30.0")
5127 (source
5128 (origin
5129 (method url-fetch)
5130 (uri (bioconductor-uri "EDASeq" version))
5131 (sha256
5132 (base32
5133 "1qnpbmhxvqsma7ihi6yp3ad962xcanlxald84k2szh011ipxj7ws"))))
5134 (properties `((upstream-name . "EDASeq")))
5135 (build-system r-build-system)
5136 (propagated-inputs
5137 (list r-annotationdbi
5138 r-aroma-light
5139 r-biobase
5140 r-biocgenerics
5141 r-biocmanager
5142 r-biomart
5143 r-biostrings
5144 r-genomicfeatures
5145 r-genomicranges
5146 r-iranges
5147 r-rsamtools
5148 r-shortread))
5149 (native-inputs
5150 (list r-knitr))
5151 (home-page "https://github.com/drisso/EDASeq")
5152 (synopsis "Exploratory data analysis and normalization for RNA-Seq")
5153 (description
5154 "This package provides support for numerical and graphical summaries of
5155 RNA-Seq genomic read data. Provided within-lane normalization procedures to
5156 adjust for GC-content effect (or other gene-level effects) on read counts:
5157 loess robust local regression, global-scaling, and full-quantile
5158 normalization. Between-lane normalization procedures to adjust for
5159 distributional differences between lanes (e.g., sequencing depth):
5160 global-scaling and full-quantile normalization.")
5161 (license license:artistic2.0)))
5162
5163 (define-public r-edger
5164 (package
5165 (name "r-edger")
5166 (version "3.38.4")
5167 (source (origin
5168 (method url-fetch)
5169 (uri (bioconductor-uri "edgeR" version))
5170 (sha256
5171 (base32
5172 "1ww69xrg9qrmq7dix2k48j6akgn58ss3340hm7pjvzx508x1j6n6"))))
5173 (properties `((upstream-name . "edgeR")))
5174 (build-system r-build-system)
5175 (propagated-inputs
5176 (list r-limma r-locfit r-rcpp))
5177 (home-page "http://bioinf.wehi.edu.au/edgeR")
5178 (synopsis "EdgeR does empirical analysis of digital gene expression data")
5179 (description "This package can do differential expression analysis of
5180 RNA-seq expression profiles with biological replication. It implements a range
5181 of statistical methodology based on the negative binomial distributions,
5182 including empirical Bayes estimation, exact tests, generalized linear models
5183 and quasi-likelihood tests. It be applied to differential signal analysis of
5184 other types of genomic data that produce counts, including ChIP-seq, SAGE and
5185 CAGE.")
5186 (license license:gpl2+)))
5187
5188 (define-public r-ensembldb
5189 (package
5190 (name "r-ensembldb")
5191 (version "2.20.2")
5192 (source
5193 (origin
5194 (method url-fetch)
5195 (uri (bioconductor-uri "ensembldb" version))
5196 (sha256
5197 (base32
5198 "12n21dcimdhgyjzk33m6xbv0m9ihgyzcf66vr1jr5ycv3rq2s7xc"))))
5199 (build-system r-build-system)
5200 (propagated-inputs
5201 (list r-annotationdbi
5202 r-annotationfilter
5203 r-biobase
5204 r-biocgenerics
5205 r-biostrings
5206 r-curl
5207 r-dbi
5208 r-genomeinfodb
5209 r-genomicfeatures
5210 r-genomicranges
5211 r-iranges
5212 r-protgenerics
5213 r-rsamtools
5214 r-rsqlite
5215 r-rtracklayer
5216 r-s4vectors))
5217 (native-inputs
5218 (list r-knitr))
5219 (home-page "https://github.com/jotsetung/ensembldb")
5220 (synopsis "Utilities to create and use Ensembl-based annotation databases")
5221 (description
5222 "The package provides functions to create and use transcript-centric
5223 annotation databases/packages. The annotation for the databases are directly
5224 fetched from Ensembl using their Perl API. The functionality and data is
5225 similar to that of the TxDb packages from the @code{GenomicFeatures} package,
5226 but, in addition to retrieve all gene/transcript models and annotations from
5227 the database, the @code{ensembldb} package also provides a filter framework
5228 allowing to retrieve annotations for specific entries like genes encoded on a
5229 chromosome region or transcript models of lincRNA genes.")
5230 ;; No version specified
5231 (license license:lgpl3+)))
5232
5233 (define-public r-fastseg
5234 (package
5235 (name "r-fastseg")
5236 (version "1.42.0")
5237 (source
5238 (origin
5239 (method url-fetch)
5240 (uri (bioconductor-uri "fastseg" version))
5241 (sha256
5242 (base32
5243 "1cr1b1jbgp1z1zpf71kl7mljbm2jpi6b97bf3bll3gnagfm489hy"))))
5244 (build-system r-build-system)
5245 (propagated-inputs
5246 (list r-biobase r-biocgenerics r-genomicranges r-iranges
5247 r-s4vectors))
5248 (home-page "https://www.bioinf.jku.at/software/fastseg/index.html")
5249 (synopsis "Fast segmentation algorithm for genetic sequencing data")
5250 (description
5251 "Fastseg implements a very fast and efficient segmentation algorithm.
5252 It can segment data from DNA microarrays and data from next generation
5253 sequencing for example to detect copy number segments. Further it can segment
5254 data from RNA microarrays like tiling arrays to identify transcripts. Most
5255 generally, it can segment data given as a matrix or as a vector. Various data
5256 formats can be used as input to fastseg like expression set objects for
5257 microarrays or GRanges for sequencing data.")
5258 (license license:lgpl2.0+)))
5259
5260 (define-public r-gage
5261 (package
5262 (name "r-gage")
5263 (version "2.46.1")
5264 (source
5265 (origin
5266 (method url-fetch)
5267 (uri (bioconductor-uri "gage" version))
5268 (sha256
5269 (base32
5270 "01y04jcy7a9fksyhj0nq37n1inkrpqf4qv117lflvipbx0dsw4gl"))))
5271 (build-system r-build-system)
5272 (propagated-inputs
5273 (list r-annotationdbi r-go-db r-graph r-keggrest))
5274 (home-page (string-append "https://bmcbioinformatics.biomedcentral.com/"
5275 "articles/10.1186/1471-2105-10-161"))
5276 (synopsis "Generally applicable gene-set enrichment for pathway analysis")
5277 (description
5278 "GAGE is a published method for gene set (enrichment or GSEA) or pathway
5279 analysis. GAGE is generally applicable independent of microarray or RNA-Seq
5280 data attributes including sample sizes, experimental designs, assay platforms,
5281 and other types of heterogeneity. The gage package provides functions for
5282 basic GAGE analysis, result processing and presentation. In addition, it
5283 provides demo microarray data and commonly used gene set data based on KEGG
5284 pathways and GO terms. These functions and data are also useful for gene set
5285 analysis using other methods.")
5286 (license license:gpl2+)))
5287
5288 (define-public r-genefilter
5289 (package
5290 (name "r-genefilter")
5291 (version "1.78.0")
5292 (source
5293 (origin
5294 (method url-fetch)
5295 (uri (bioconductor-uri "genefilter" version))
5296 (sha256
5297 (base32
5298 "1lp3alnljhsil8zylf8rvf8ik4wmsyciy3ij4rr9l4191dkkp4aq"))))
5299 (build-system r-build-system)
5300 (native-inputs
5301 (list gfortran r-knitr))
5302 (propagated-inputs
5303 (list r-annotate r-annotationdbi r-biobase r-biocgenerics
5304 r-survival))
5305 (home-page "https://bioconductor.org/packages/genefilter")
5306 (synopsis "Filter genes from high-throughput experiments")
5307 (description
5308 "This package provides basic functions for filtering genes from
5309 high-throughput sequencing experiments.")
5310 (license license:artistic2.0)))
5311
5312 (define-public r-geneoverlap
5313 (package
5314 (name "r-geneoverlap")
5315 (version "1.32.0")
5316 (source (origin
5317 (method url-fetch)
5318 (uri (bioconductor-uri "GeneOverlap" version))
5319 (sha256
5320 (base32
5321 "0nqwa3x9q1hl9nm06hqzzrn00rirc9kj6s320csjlf7x6rcidr93"))))
5322 (build-system r-build-system)
5323 (propagated-inputs
5324 (list r-rcolorbrewer r-gplots))
5325 (home-page "https://www.bioconductor.org/packages/GeneOverlap/")
5326 (synopsis "Test and visualize gene overlaps")
5327 (description "This package can be used to test two sets of gene lists
5328 and visualize the results.")
5329 (license license:gpl3)))
5330
5331 (define-public r-genomation
5332 (package
5333 (name "r-genomation")
5334 (version "1.28.0")
5335 (source (origin
5336 (method url-fetch)
5337 (uri (bioconductor-uri "genomation" version))
5338 (sha256
5339 (base32
5340 "0rvay7gs4g2wi6h42kln8xwy9b05axj1x8mkfayl6pnnlva6xj79"))))
5341 (build-system r-build-system)
5342 (propagated-inputs
5343 (list r-biostrings
5344 r-bsgenome
5345 r-data-table
5346 r-genomeinfodb
5347 r-genomicalignments
5348 r-genomicranges
5349 r-ggplot2
5350 r-gridbase
5351 r-impute
5352 r-iranges
5353 r-matrixstats
5354 r-plotrix
5355 r-plyr
5356 r-rcpp
5357 r-readr
5358 r-reshape2
5359 r-rsamtools
5360 r-rtracklayer
5361 r-s4vectors
5362 r-seqpattern))
5363 (native-inputs
5364 (list r-knitr))
5365 (home-page "https://bioinformatics.mdc-berlin.de/genomation/")
5366 (synopsis "Summary, annotation and visualization of genomic data")
5367 (description
5368 "This package provides a package for summary and annotation of genomic
5369 intervals. Users can visualize and quantify genomic intervals over
5370 pre-defined functional regions, such as promoters, exons, introns, etc. The
5371 genomic intervals represent regions with a defined chromosome position, which
5372 may be associated with a score, such as aligned reads from HT-seq experiments,
5373 TF binding sites, methylation scores, etc. The package can use any tabular
5374 genomic feature data as long as it has minimal information on the locations of
5375 genomic intervals. In addition, it can use BAM or BigWig files as input.")
5376 (license license:artistic2.0)))
5377
5378 (define-public r-genomeinfodb
5379 (package
5380 (name "r-genomeinfodb")
5381 (version "1.32.4")
5382 (source (origin
5383 (method url-fetch)
5384 (uri (bioconductor-uri "GenomeInfoDb" version))
5385 (sha256
5386 (base32
5387 "0z2bqr0zrl3r2kcqs72ny8p1psf8w1sgbr7qjjknxdv1qp8m2j7v"))))
5388 (properties
5389 `((upstream-name . "GenomeInfoDb")))
5390 (build-system r-build-system)
5391 (propagated-inputs
5392 (list r-biocgenerics r-genomeinfodbdata r-iranges r-rcurl
5393 r-s4vectors))
5394 (native-inputs
5395 (list r-knitr))
5396 (home-page "https://bioconductor.org/packages/GenomeInfoDb")
5397 (synopsis "Utilities for manipulating chromosome identifiers")
5398 (description
5399 "This package contains data and functions that define and allow
5400 translation between different chromosome sequence naming conventions (e.g.,
5401 \"chr1\" versus \"1\"), including a function that attempts to place sequence
5402 names in their natural, rather than lexicographic, order.")
5403 (license license:artistic2.0)))
5404
5405 (define-public r-genomicalignments
5406 (package
5407 (name "r-genomicalignments")
5408 (version "1.32.1")
5409 (source (origin
5410 (method url-fetch)
5411 (uri (bioconductor-uri "GenomicAlignments" version))
5412 (sha256
5413 (base32
5414 "09pg7822camyav5zvlpv360sj5gz8q1bhk528qa2da2qsz74a3cz"))))
5415 (properties
5416 `((upstream-name . "GenomicAlignments")))
5417 (build-system r-build-system)
5418 (propagated-inputs
5419 (list r-biocgenerics
5420 r-biocparallel
5421 r-biostrings
5422 r-genomeinfodb
5423 r-genomicranges
5424 r-iranges
5425 r-rsamtools
5426 r-s4vectors
5427 r-summarizedexperiment))
5428 (home-page "https://bioconductor.org/packages/GenomicAlignments")
5429 (synopsis "Representation and manipulation of short genomic alignments")
5430 (description
5431 "This package provides efficient containers for storing and manipulating
5432 short genomic alignments (typically obtained by aligning short reads to a
5433 reference genome). This includes read counting, computing the coverage,
5434 junction detection, and working with the nucleotide content of the
5435 alignments.")
5436 (license license:artistic2.0)))
5437
5438 (define-public r-genomicfeatures
5439 (package
5440 (name "r-genomicfeatures")
5441 (version "1.48.4")
5442 (source (origin
5443 (method url-fetch)
5444 (uri (bioconductor-uri "GenomicFeatures" version))
5445 (sha256
5446 (base32
5447 "15kn5lmdqp7rsh2zlixj7ashsqnv50bs36hapw36qbaz9vgvim4v"))))
5448 (properties
5449 `((upstream-name . "GenomicFeatures")))
5450 (build-system r-build-system)
5451 (propagated-inputs
5452 (list r-annotationdbi
5453 r-biobase
5454 r-biocgenerics
5455 r-biocio
5456 r-biomart
5457 r-biostrings
5458 r-dbi
5459 r-genomeinfodb
5460 r-genomicranges
5461 r-iranges
5462 r-rcurl
5463 r-rsqlite
5464 r-rtracklayer
5465 r-s4vectors
5466 r-xvector))
5467 (native-inputs
5468 (list r-knitr))
5469 (home-page "https://bioconductor.org/packages/GenomicFeatures")
5470 (synopsis "Tools for working with transcript centric annotations")
5471 (description
5472 "This package provides a set of tools and methods for making and
5473 manipulating transcript centric annotations. With these tools the user can
5474 easily download the genomic locations of the transcripts, exons and cds of a
5475 given organism, from either the UCSC Genome Browser or a BioMart
5476 database (more sources will be supported in the future). This information is
5477 then stored in a local database that keeps track of the relationship between
5478 transcripts, exons, cds and genes. Flexible methods are provided for
5479 extracting the desired features in a convenient format.")
5480 (license license:artistic2.0)))
5481
5482 (define-public r-genomicfiles
5483 (package
5484 (name "r-genomicfiles")
5485 (version "1.32.1")
5486 (source
5487 (origin
5488 (method url-fetch)
5489 (uri (bioconductor-uri "GenomicFiles" version))
5490 (sha256
5491 (base32
5492 "06ycfna26klx27vvsnlpgv46bymfrc8z0zkpag7nm4m23153ivkz"))))
5493 (properties `((upstream-name . "GenomicFiles")))
5494 (build-system r-build-system)
5495 (propagated-inputs
5496 (list r-biocgenerics
5497 r-biocparallel
5498 r-genomeinfodb
5499 r-genomicalignments
5500 r-genomicranges
5501 r-iranges
5502 r-matrixgenerics
5503 r-rsamtools
5504 r-rtracklayer
5505 r-s4vectors
5506 r-summarizedexperiment
5507 r-variantannotation))
5508 (home-page "https://bioconductor.org/packages/GenomicFiles")
5509 (synopsis "Distributed computing by file or by range")
5510 (description
5511 "This package provides infrastructure for parallel computations
5512 distributed by file or by range. User defined mapper and reducer functions
5513 provide added flexibility for data combination and manipulation.")
5514 (license license:artistic2.0)))
5515
5516 (define-public r-genomicranges
5517 (package
5518 (name "r-genomicranges")
5519 (version "1.48.0")
5520 (source (origin
5521 (method url-fetch)
5522 (uri (bioconductor-uri "GenomicRanges" version))
5523 (sha256
5524 (base32
5525 "088rv1aclwq265pdg4hmks73nl0125vk0vigyi44n3djkrdx48yn"))))
5526 (properties
5527 `((upstream-name . "GenomicRanges")))
5528 (build-system r-build-system)
5529 (propagated-inputs
5530 (list r-biocgenerics r-genomeinfodb r-iranges r-s4vectors r-xvector))
5531 (native-inputs
5532 (list r-knitr))
5533 (home-page "https://bioconductor.org/packages/GenomicRanges")
5534 (synopsis "Representation and manipulation of genomic intervals")
5535 (description
5536 "This package provides tools to efficiently represent and manipulate
5537 genomic annotations and alignments is playing a central role when it comes to
5538 analyzing high-throughput sequencing data (a.k.a. NGS data). The
5539 GenomicRanges package defines general purpose containers for storing and
5540 manipulating genomic intervals and variables defined along a genome.")
5541 (license license:artistic2.0)))
5542
5543 (define-public r-gostats
5544 (package
5545 (name "r-gostats")
5546 (version "2.62.0")
5547 (source
5548 (origin
5549 (method url-fetch)
5550 (uri (bioconductor-uri "GOstats" version))
5551 (sha256
5552 (base32
5553 "121ly9vifarg8y7mc468571bbs0xv4sx6sflm5zcdqf0p83yvjrm"))))
5554 (properties `((upstream-name . "GOstats")))
5555 (build-system r-build-system)
5556 (propagated-inputs
5557 (list r-annotate
5558 r-annotationdbi
5559 r-annotationforge
5560 r-biobase
5561 r-category
5562 r-go-db
5563 r-graph
5564 r-rgraphviz
5565 r-rbgl))
5566 (home-page "https://bioconductor.org/packages/GOstats")
5567 (synopsis "Tools for manipulating GO and microarrays")
5568 (description
5569 "This package provides a set of tools for interacting with GO and
5570 microarray data. A variety of basic manipulation tools for graphs, hypothesis
5571 testing and other simple calculations.")
5572 (license license:artistic2.0)))
5573
5574 (define-public r-gseabase
5575 (package
5576 (name "r-gseabase")
5577 (version "1.58.0")
5578 (source
5579 (origin
5580 (method url-fetch)
5581 (uri (bioconductor-uri "GSEABase" version))
5582 (sha256
5583 (base32
5584 "1qhvgyg392fd98h2qnmfmhg7mil5hp9cy3qmkqs4x1bhpv1m978g"))))
5585 (properties `((upstream-name . "GSEABase")))
5586 (build-system r-build-system)
5587 (propagated-inputs
5588 (list r-annotate
5589 r-annotationdbi
5590 r-biobase
5591 r-biocgenerics
5592 r-graph
5593 r-xml))
5594 (native-inputs
5595 (list r-knitr))
5596 (home-page "https://bioconductor.org/packages/GSEABase")
5597 (synopsis "Gene set enrichment data structures and methods")
5598 (description
5599 "This package provides classes and methods to support @dfn{Gene Set
5600 Enrichment Analysis} (GSEA).")
5601 (license license:artistic2.0)))
5602
5603 (define-public r-hpar
5604 (package
5605 (name "r-hpar")
5606 (version "1.38.0")
5607 (source
5608 (origin
5609 (method url-fetch)
5610 (uri (bioconductor-uri "hpar" version))
5611 (sha256
5612 (base32
5613 "07c6r703d5xp7y9bqmqalxgna2qrbk1h5s0d992m7360k259mgrj"))))
5614 (build-system r-build-system)
5615 (native-inputs
5616 (list r-knitr))
5617 (home-page "https://bioconductor.org/packages/hpar/")
5618 (synopsis "Human Protein Atlas in R")
5619 (description "This package provides a simple interface to and data from
5620 the Human Protein Atlas project.")
5621 (license license:artistic2.0)))
5622
5623 (define-public r-rhtslib
5624 (package
5625 (name "r-rhtslib")
5626 (version "1.28.0")
5627 (source
5628 (origin
5629 (method url-fetch)
5630 (uri (bioconductor-uri "Rhtslib" version))
5631 (sha256
5632 (base32
5633 "07kws6afkxbmxq4w357mwwl712pdd16alvz7iqijjd2x7rjchj2f"))))
5634 (properties `((upstream-name . "Rhtslib")))
5635 (build-system r-build-system)
5636 ;; Without this a temporary directory ends up in the Rhtslib.so binary,
5637 ;; which makes R abort the build.
5638 (arguments '(#:configure-flags '("--no-staged-install")))
5639 (propagated-inputs
5640 (list curl zlib ; packages using rhtslib need to link with zlib
5641 r-zlibbioc))
5642 (native-inputs
5643 (list pkg-config r-knitr))
5644 (home-page "https://github.com/nhayden/Rhtslib")
5645 (synopsis "High-throughput sequencing library as an R package")
5646 (description
5647 "This package provides the HTSlib C library for high-throughput
5648 nucleotide sequence analysis. The package is primarily useful to developers
5649 of other R packages who wish to make use of HTSlib.")
5650 (license license:lgpl2.0+)))
5651
5652 (define-public r-impute
5653 (package
5654 (name "r-impute")
5655 (version "1.70.0")
5656 (source (origin
5657 (method url-fetch)
5658 (uri (bioconductor-uri "impute" version))
5659 (sha256
5660 (base32
5661 "11b0z7py0im6y43k55xpzz5jnvc0ram9rk3n1n4mwhvs0vhy39r2"))))
5662 (native-inputs
5663 (list gfortran))
5664 (build-system r-build-system)
5665 (home-page "https://bioconductor.org/packages/impute")
5666 (synopsis "Imputation for microarray data")
5667 (description
5668 "This package provides a function to impute missing gene expression
5669 microarray data, using nearest neighbor averaging.")
5670 (license license:gpl2+)))
5671
5672 (define-public r-interactivedisplaybase
5673 (package
5674 (name "r-interactivedisplaybase")
5675 (version "1.34.0")
5676 (source
5677 (origin
5678 (method url-fetch)
5679 (uri (bioconductor-uri "interactiveDisplayBase" version))
5680 (sha256
5681 (base32
5682 "0fdwx5ch0ch8axdkfiq7zzhhq5hwcvd6kf8fggw9nd3ah1yjwbdg"))))
5683 (properties
5684 `((upstream-name . "interactiveDisplayBase")))
5685 (build-system r-build-system)
5686 (propagated-inputs
5687 (list r-biocgenerics r-dt r-shiny))
5688 (native-inputs
5689 (list r-knitr))
5690 (home-page "https://bioconductor.org/packages/interactiveDisplayBase")
5691 (synopsis "Base package for web displays of Bioconductor objects")
5692 (description
5693 "This package contains the basic methods needed to generate interactive
5694 Shiny-based display methods for Bioconductor objects.")
5695 (license license:artistic2.0)))
5696
5697 (define-public r-keggrest
5698 (package
5699 (name "r-keggrest")
5700 (version "1.36.3")
5701 (source
5702 (origin
5703 (method url-fetch)
5704 (uri (bioconductor-uri "KEGGREST" version))
5705 (sha256
5706 (base32
5707 "0lzb3z6pzm323q70931b7220ygml7jb4g81dybwa79wqiqz15pni"))))
5708 (properties `((upstream-name . "KEGGREST")))
5709 (build-system r-build-system)
5710 (propagated-inputs
5711 (list r-biostrings r-httr r-png))
5712 (native-inputs
5713 (list r-knitr))
5714 (home-page "https://bioconductor.org/packages/KEGGREST")
5715 (synopsis "Client-side REST access to KEGG")
5716 (description
5717 "This package provides a package that provides a client interface to the
5718 @dfn{Kyoto Encyclopedia of Genes and Genomes} (KEGG) REST server.")
5719 (license license:artistic2.0)))
5720
5721 (define-public r-lfa
5722 (package
5723 (name "r-lfa")
5724 (version "1.26.0")
5725 (source
5726 (origin
5727 (method url-fetch)
5728 (uri (bioconductor-uri "lfa" version))
5729 (sha256
5730 (base32 "044866h4fnxmzb3sh9vmrd2smgsbcqgvd19dgwxisi418cad577l"))))
5731 (properties `((upstream-name . "lfa")))
5732 (build-system r-build-system)
5733 (propagated-inputs (list r-corpcor))
5734 (native-inputs (list r-knitr))
5735 (home-page "https://github.com/StoreyLab/lfa")
5736 (synopsis "Logistic Factor Analysis for categorical data")
5737 (description
5738 "@dfn{Logistic Factor Analysis} (LFA) is a method for a PCA analogue on
5739 Binomial data via estimation of latent structure in the natural parameter.")
5740 (license license:gpl3)))
5741
5742 (define-public r-limma
5743 (package
5744 (name "r-limma")
5745 (version "3.52.4")
5746 (source (origin
5747 (method url-fetch)
5748 (uri (bioconductor-uri "limma" version))
5749 (sha256
5750 (base32
5751 "14xy3qyra2crz31sxgz768mhnhhvcpfhfcigf4xsii643lqcz75h"))))
5752 (build-system r-build-system)
5753 (home-page "http://bioinf.wehi.edu.au/limma")
5754 (synopsis "Package for linear models for microarray and RNA-seq data")
5755 (description "This package can be used for the analysis of gene expression
5756 studies, especially the use of linear models for analysing designed experiments
5757 and the assessment of differential expression. The analysis methods apply to
5758 different technologies, including microarrays, RNA-seq, and quantitative PCR.")
5759 (license license:gpl2+)))
5760
5761 (define-public r-made4
5762 (package
5763 (name "r-made4")
5764 (version "1.70.0")
5765 (source (origin
5766 (method url-fetch)
5767 (uri (bioconductor-uri "made4" version))
5768 (sha256
5769 (base32
5770 "1wrv9d2mp799qzy1bsaj4w7wx12gdhfv9qvklz7z41vfz59d6bq5"))))
5771 (properties `((upstream-name . "made4")))
5772 (build-system r-build-system)
5773 (propagated-inputs
5774 (list r-ade4
5775 r-biobase
5776 r-gplots
5777 r-rcolorbrewer
5778 r-scatterplot3d
5779 r-summarizedexperiment))
5780 (native-inputs (list r-knitr))
5781 (home-page "http://www.hsph.harvard.edu/aedin-culhane/")
5782 (synopsis "Multivariate analysis of microarray data using ADE4")
5783 (description
5784 "This is a package for multivariate data analysis and graphical display
5785 of microarray data. Functions are included for supervised dimension
5786 reduction (between group analysis) and joint dimension reduction of two
5787 datasets (coinertia analysis).")
5788 (license license:artistic2.0)))
5789
5790 (define-public r-methylkit
5791 (package
5792 (name "r-methylkit")
5793 (version "1.22.0")
5794 (source (origin
5795 (method url-fetch)
5796 (uri (bioconductor-uri "methylKit" version))
5797 (sha256
5798 (base32
5799 "00asjzv05avfg0rrkmfbdqd6xx8d18zi72n3b1kf9wj81z2d2a35"))))
5800 (properties `((upstream-name . "methylKit")))
5801 (build-system r-build-system)
5802 (propagated-inputs
5803 (list r-data-table
5804 r-emdbook
5805 r-fastseg
5806 r-genomeinfodb
5807 r-genomicranges
5808 r-gtools
5809 r-iranges
5810 r-kernsmooth
5811 r-limma
5812 r-mclust
5813 r-mgcv
5814 r-qvalue
5815 r-r-utils
5816 r-rcpp
5817 r-rhtslib
5818 r-rsamtools
5819 r-rtracklayer
5820 r-s4vectors
5821 r-zlibbioc))
5822 (native-inputs
5823 (list r-knitr)) ; for vignettes
5824 (home-page "https://github.com/al2na/methylKit")
5825 (synopsis
5826 "DNA methylation analysis from high-throughput bisulfite sequencing results")
5827 (description
5828 "MethylKit is an R package for DNA methylation analysis and annotation
5829 from high-throughput bisulfite sequencing. The package is designed to deal
5830 with sequencing data from @dfn{Reduced representation bisulfite
5831 sequencing} (RRBS) and its variants, but also target-capture methods and whole
5832 genome bisulfite sequencing. It also has functions to analyze base-pair
5833 resolution 5hmC data from experimental protocols such as oxBS-Seq and
5834 TAB-Seq.")
5835 (license license:artistic2.0)))
5836
5837 (define-public r-motifrg
5838 (package
5839 (name "r-motifrg")
5840 (version "1.31.0")
5841 (source
5842 (origin
5843 (method url-fetch)
5844 (uri (bioconductor-uri "motifRG" version))
5845 (sha256
5846 (base32
5847 "1ml6zyzlk8yjbnfhga2qnw8nl43rankvka0kc1yljxr2b66aqbhn"))))
5848 (properties `((upstream-name . "motifRG")))
5849 (build-system r-build-system)
5850 (propagated-inputs
5851 (list r-biostrings
5852 r-bsgenome
5853 r-bsgenome-hsapiens-ucsc-hg19
5854 r-iranges
5855 r-seqlogo
5856 r-xvector))
5857 (home-page "https://bioconductor.org/packages/motifRG")
5858 (synopsis "Discover motifs in high throughput sequencing data")
5859 (description
5860 "This package provides tools for discriminative motif discovery in high
5861 throughput genetic sequencing data sets using regression methods.")
5862 (license license:artistic2.0)))
5863
5864 (define-public r-muscat
5865 (package
5866 (name "r-muscat")
5867 (version "1.10.1")
5868 (source
5869 (origin
5870 (method url-fetch)
5871 (uri (bioconductor-uri "muscat" version))
5872 (sha256
5873 (base32
5874 "1j3zkhqgza92vdykb1yia1jjwsdqra6q9c0jk6p5p2x0778xqgfd"))))
5875 (properties `((upstream-name . "muscat")))
5876 (build-system r-build-system)
5877 (propagated-inputs
5878 (list r-biocparallel
5879 r-blme
5880 r-complexheatmap
5881 r-data-table
5882 r-deseq2
5883 r-dplyr
5884 r-edger
5885 r-ggplot2
5886 r-glmmtmb
5887 r-limma
5888 r-lme4
5889 r-lmertest
5890 r-matrix
5891 r-matrixstats
5892 r-progress
5893 r-purrr
5894 r-s4vectors
5895 r-scales
5896 r-scater
5897 r-sctransform
5898 r-scuttle
5899 r-singlecellexperiment
5900 r-summarizedexperiment
5901 r-variancepartition
5902 r-viridis))
5903 (native-inputs (list r-knitr))
5904 (home-page "https://github.com/HelenaLC/muscat")
5905 (synopsis "Multi-sample multi-group scRNA-seq data analysis tools")
5906 (description
5907 "This package @code{muscat} provides various methods and visualization tools
5908 for @dfn{DS}(differential splicing) analysis in multi-sample, multi-group,
5909 multi-(cell-)subpopulation scRNA-seq data, including cell-level mixed models and
5910 methods based on aggregated \"pseudobulk\" data, as well as a flexible simulation
5911 platform that mimics both single and multi-sample scRNA-seq data.")
5912 (license license:gpl3)))
5913
5914 (define-public r-mutationalpatterns
5915 (package
5916 (name "r-mutationalpatterns")
5917 (version "3.6.0")
5918 (source
5919 (origin
5920 (method url-fetch)
5921 (uri (bioconductor-uri "MutationalPatterns" version))
5922 (sha256
5923 (base32
5924 "113b2hrc0n47qz144xhky93jcm6qh6flzadq5y0plga5jrz0rnwg"))))
5925 (build-system r-build-system)
5926 (native-inputs
5927 (list r-knitr))
5928 (propagated-inputs
5929 (list r-biocgenerics
5930 r-biostrings
5931 r-bsgenome
5932 ;; These two packages are suggested packages
5933 r-bsgenome-hsapiens-1000genomes-hs37d5
5934 r-bsgenome-hsapiens-ucsc-hg19
5935 r-cowplot
5936 r-dplyr
5937 r-genomeinfodb
5938 r-genomicranges
5939 r-ggalluvial
5940 r-ggdendro
5941 r-ggplot2
5942 r-iranges
5943 r-magrittr
5944 r-nmf
5945 r-pracma
5946 r-purrr
5947 r-rcolorbrewer
5948 r-s4vectors
5949 r-stringr
5950 r-tibble
5951 r-tidyr
5952 r-variantannotation))
5953 (home-page "https://bioconductor.org/packages/MutationalPatterns/")
5954 (synopsis "Extract and visualize mutational patterns in genomic data")
5955 (description "This package provides an extensive toolset for the
5956 characterization and visualization of a wide range of mutational patterns
5957 in SNV base substitution data.")
5958 (license license:expat)))
5959
5960 (define-public r-msnbase
5961 (package
5962 (name "r-msnbase")
5963 (version "2.22.0")
5964 (source
5965 (origin
5966 (method url-fetch)
5967 (uri (bioconductor-uri "MSnbase" version))
5968 (sha256
5969 (base32
5970 "1xzn0k3c2wn6c6gv90hddy3c201sg927342zrw9ig2xap0r053x3"))))
5971 (properties `((upstream-name . "MSnbase")))
5972 (build-system r-build-system)
5973 (propagated-inputs
5974 (list r-affy
5975 r-biobase
5976 r-biocgenerics
5977 r-biocparallel
5978 r-digest
5979 r-ggplot2
5980 r-impute
5981 r-iranges
5982 r-lattice
5983 r-maldiquant
5984 r-mass
5985 r-mscoreutils
5986 r-mzid
5987 r-mzr
5988 r-pcamethods
5989 r-plyr
5990 r-protgenerics
5991 r-rcpp
5992 r-s4vectors
5993 r-scales
5994 r-vsn
5995 r-xml))
5996 (native-inputs
5997 (list r-knitr))
5998 (home-page "https://github.com/lgatto/MSnbase")
5999 (synopsis "Base functions and classes for MS-based proteomics")
6000 (description
6001 "This package provides basic plotting, data manipulation and processing
6002 of mass spectrometry based proteomics data.")
6003 (license license:artistic2.0)))
6004
6005 (define-public r-msnid
6006 (package
6007 (name "r-msnid")
6008 (version "1.30.0")
6009 (source
6010 (origin
6011 (method url-fetch)
6012 (uri (bioconductor-uri "MSnID" version))
6013 (sha256
6014 (base32
6015 "1yiw95p40nz0pvq7s4i0xg02r9yqmnknak00z4lkw8jij3w3rkkq"))))
6016 (properties `((upstream-name . "MSnID")))
6017 (build-system r-build-system)
6018 (arguments
6019 `(#:phases
6020 (modify-phases %standard-phases
6021 (add-after 'unpack 'set-HOME
6022 (lambda _ (setenv "HOME" "/tmp"))))))
6023 (propagated-inputs
6024 (list r-annotationdbi
6025 r-annotationhub
6026 r-biobase
6027 r-biocgenerics
6028 r-biocstyle
6029 r-biostrings
6030 r-data-table
6031 r-doparallel
6032 r-dplyr
6033 r-foreach
6034 r-ggplot2
6035 r-iterators
6036 r-msnbase
6037 r-msmstests
6038 r-mzid
6039 r-mzr
6040 r-protgenerics
6041 r-purrr
6042 r-r-cache
6043 r-rcpp
6044 r-reshape2
6045 r-rlang
6046 r-runit
6047 r-stringr
6048 r-tibble
6049 r-xtable))
6050 (home-page "https://bioconductor.org/packages/MSnID")
6051 (synopsis "Utilities for LC-MSn proteomics identifications")
6052 (description
6053 "This package extracts @dfn{tandem mass spectrometry} (MS/MS) ID data
6054 from mzIdentML (leveraging the mzID package) or text files. After collating
6055 the search results from multiple datasets it assesses their identification
6056 quality and optimize filtering criteria to achieve the maximum number of
6057 identifications while not exceeding a specified false discovery rate. It also
6058 contains a number of utilities to explore the MS/MS results and assess missed
6059 and irregular enzymatic cleavages, mass measurement accuracy, etc.")
6060 (license license:artistic2.0)))
6061
6062 (define-public r-mzid
6063 (package
6064 (name "r-mzid")
6065 (version "1.34.0")
6066 (source
6067 (origin
6068 (method url-fetch)
6069 (uri (bioconductor-uri "mzID" version))
6070 (sha256
6071 (base32
6072 "1q1aqyya9nd494s7m3rdaf3kixipdrwbj825g40kdljwrg85y961"))))
6073 (properties `((upstream-name . "mzID")))
6074 (build-system r-build-system)
6075 (propagated-inputs
6076 (list r-doparallel
6077 r-foreach
6078 r-iterators
6079 r-plyr
6080 r-protgenerics
6081 r-xml))
6082 (native-inputs
6083 (list r-knitr))
6084 (home-page "https://bioconductor.org/packages/mzID")
6085 (synopsis "Parser for mzIdentML files")
6086 (description
6087 "This package provides a parser for mzIdentML files implemented using the
6088 XML package. The parser tries to be general and able to handle all types of
6089 mzIdentML files with the drawback of having less pretty output than a vendor
6090 specific parser.")
6091 (license license:gpl2+)))
6092
6093 (define-public r-mzr
6094 (package
6095 (name "r-mzr")
6096 (version "2.30.0")
6097 (source
6098 (origin
6099 (method url-fetch)
6100 (uri (bioconductor-uri "mzR" version))
6101 (sha256
6102 (base32
6103 "1dqa03hb42kbqfg15ksijdkyf9pr54gcl3in4mzjkld5sdi8ncds"))
6104 (modules '((guix build utils)))
6105 (snippet
6106 '(delete-file-recursively "src/boost"))))
6107 (properties `((upstream-name . "mzR")))
6108 (build-system r-build-system)
6109 (arguments
6110 `(#:phases
6111 (modify-phases %standard-phases
6112 (add-after 'unpack 'use-system-boost
6113 (lambda _
6114 (substitute* "src/Makevars"
6115 (("\\./boost/libs.*") "")
6116 (("PKG_LIBS=") "PKG_LIBS=$(BOOST_LIBS) ")
6117 (("\\ARCH_OBJS=" line)
6118 (string-append line
6119 "\nBOOST_LIBS=-lboost_system -lboost_regex \
6120 -lboost_iostreams -lboost_thread -lboost_filesystem -lboost_chrono\n"))))))))
6121 (inputs
6122 (list boost ; use this instead of the bundled boost sources
6123 zlib))
6124 (propagated-inputs
6125 (list r-biobase
6126 r-biocgenerics
6127 r-ncdf4
6128 r-protgenerics
6129 r-rcpp
6130 r-rhdf5lib))
6131 (native-inputs
6132 (list r-knitr))
6133 (home-page "https://github.com/sneumann/mzR/")
6134 (synopsis "Parser for mass spectrometry data files")
6135 (description
6136 "The mzR package provides a unified API to the common file formats and
6137 parsers available for mass spectrometry data. It comes with a wrapper for the
6138 ISB random access parser for mass spectrometry mzXML, mzData and mzML files.
6139 The package contains the original code written by the ISB, and a subset of the
6140 proteowizard library for mzML and mzIdentML. The netCDF reading code has
6141 previously been used in XCMS.")
6142 (license license:artistic2.0)))
6143
6144 (define-public r-organism-dplyr
6145 (package
6146 (name "r-organism-dplyr")
6147 (version "1.24.0")
6148 (source
6149 (origin
6150 (method url-fetch)
6151 (uri (bioconductor-uri "Organism.dplyr" version))
6152 (sha256
6153 (base32
6154 "0j29f85d66c45ww3417xx376vpz0mmvga5n7h2cl1sd4h70b55as"))))
6155 (properties `((upstream-name . "Organism.dplyr")))
6156 (build-system r-build-system)
6157 (propagated-inputs
6158 (list r-annotationdbi
6159 r-annotationfilter
6160 r-biocfilecache
6161 r-dbi
6162 r-dbplyr
6163 r-dplyr
6164 r-genomeinfodb
6165 r-genomicfeatures
6166 r-genomicranges
6167 r-iranges
6168 r-rlang
6169 r-rsqlite
6170 r-s4vectors
6171 r-tibble))
6172 (native-inputs (list r-knitr))
6173 (home-page "https://bioconductor.org/packages/Organism.dplyr")
6174 (synopsis "Dplyr-based access to Bioconductor annotation resources")
6175 (description
6176 "This package provides an alternative interface to Bioconductor @code{
6177 annotation} resources, in particular the gene identifier mapping functionality
6178 of the @code{org} packages (e.g., @code{org.Hs.eg.db}) and the genome coordinate
6179 functionality of the @code{TxDb} packages (e.g.,
6180 @code{TxDb.Hsapiens.UCSC.hg38.knownGene}).")
6181 (license license:artistic2.0)))
6182
6183 (define-public r-organismdbi
6184 (package
6185 (name "r-organismdbi")
6186 (version "1.38.1")
6187 (source
6188 (origin
6189 (method url-fetch)
6190 (uri (bioconductor-uri "OrganismDbi" version))
6191 (sha256
6192 (base32
6193 "0mxnxj8x4hc21psz39mf7qwvh1fsn6qyjgl5qffk1xxmasf69619"))))
6194 (properties `((upstream-name . "OrganismDbi")))
6195 (build-system r-build-system)
6196 (propagated-inputs
6197 (list r-annotationdbi
6198 r-biobase
6199 r-biocgenerics
6200 r-biocmanager
6201 r-dbi
6202 r-genomicfeatures
6203 r-genomicranges
6204 r-graph
6205 r-iranges
6206 r-rbgl
6207 r-s4vectors))
6208 (home-page "https://bioconductor.org/packages/OrganismDbi")
6209 (synopsis "Software to enable the smooth interfacing of database packages")
6210 (description "The package enables a simple unified interface to several
6211 annotation packages each of which has its own schema by taking advantage of
6212 the fact that each of these packages implements a select methods.")
6213 (license license:artistic2.0)))
6214
6215 (define-public r-pcaexplorer
6216 (package
6217 (name "r-pcaexplorer")
6218 (version "2.22.0")
6219 (source
6220 (origin
6221 (method url-fetch)
6222 (uri (bioconductor-uri "pcaExplorer" version))
6223 (sha256
6224 (base32
6225 "0xkafpi6y5n8hljdaj183hd5z4ik7lpbklg2cbx1hwfz4n4hh1bl"))))
6226 (properties `((upstream-name . "pcaExplorer")))
6227 (build-system r-build-system)
6228 (propagated-inputs
6229 (list r-annotationdbi
6230 r-base64enc
6231 r-biomart
6232 r-deseq2
6233 r-dt
6234 r-genefilter
6235 r-genomicranges
6236 r-ggplot2
6237 r-ggrepel
6238 r-go-db
6239 r-gostats
6240 r-heatmaply
6241 r-iranges
6242 r-knitr
6243 r-limma
6244 r-nmf
6245 r-pheatmap
6246 r-plotly
6247 r-plyr
6248 r-rmarkdown
6249 r-s4vectors
6250 r-scales
6251 r-shiny
6252 r-shinyace
6253 r-shinybs
6254 r-shinydashboard
6255 r-summarizedexperiment
6256 r-threejs
6257 r-tidyr
6258 r-topgo))
6259 (native-inputs (list r-knitr))
6260 (home-page "https://github.com/federicomarini/pcaExplorer")
6261 (synopsis
6262 "Interactive Visualization of RNA-seq Data Using a Principal Components Approach")
6263 (description
6264 "This package provides functionality for interactive visualization of RNA-seq
6265 datasets based on Principal Components Analysis. The methods provided allow for
6266 quick information extraction and effective data exploration. A Shiny
6267 application encapsulates the whole analysis.")
6268 (license license:expat)))
6269
6270 (define-public r-pcamethods
6271 (package
6272 (name "r-pcamethods")
6273 (version "1.88.0")
6274 (source
6275 (origin
6276 (method url-fetch)
6277 (uri (bioconductor-uri "pcaMethods" version))
6278 (sha256
6279 (base32
6280 "1087sl7y707zld7zpf3ly51gnmdp93vn90dwa5440v7qawvg2h9b"))))
6281 (properties `((upstream-name . "pcaMethods")))
6282 (build-system r-build-system)
6283 (propagated-inputs
6284 (list r-biobase r-biocgenerics r-mass r-rcpp))
6285 (home-page "https://github.com/hredestig/pcamethods")
6286 (synopsis "Collection of PCA methods")
6287 (description
6288 "This package provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
6289 Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method
6290 for missing value estimation is included for comparison. BPCA, PPCA and
6291 NipalsPCA may be used to perform PCA on incomplete data as well as for
6292 accurate missing value estimation. A set of methods for printing and plotting
6293 the results is also provided. All PCA methods make use of the same data
6294 structure (pcaRes) to provide a common interface to the PCA results.")
6295 (license license:gpl3+)))
6296
6297 ;; This is a CRAN package, but it depends on a Bioconductor package:
6298 ;; r-aroma-light, r-dnacopy..
6299 (define-public r-pscbs
6300 (package
6301 (name "r-pscbs")
6302 (version "0.66.0")
6303 (source
6304 (origin
6305 (method url-fetch)
6306 (uri (cran-uri "PSCBS" version))
6307 (sha256
6308 (base32 "14rs2wywipbkia3dbzfhpnkmfgdvm2bf586lggsx63sywlv5d02q"))))
6309 (properties `((upstream-name . "PSCBS")))
6310 (build-system r-build-system)
6311 (arguments
6312 `(#:phases
6313 (modify-phases %standard-phases
6314 (add-before 'install 'change-home-dir
6315 (lambda _
6316 ;; Change from /homeless-shelter to /tmp for write permission.
6317 (setenv "HOME" "/tmp"))))))
6318 (propagated-inputs
6319 (list r-aroma-light
6320 r-dnacopy
6321 r-future
6322 r-listenv
6323 r-matrixstats
6324 r-r-cache
6325 r-r-methodss3
6326 r-r-oo
6327 r-r-utils))
6328 (native-inputs
6329 (list r-r-rsp ;used to build vignettes
6330 r-r-devices))
6331 (home-page "https://github.com/HenrikBengtsson/PSCBS")
6332 (synopsis "Analysis of parent-specific DNA copy numbers")
6333 (description
6334 "This is a package for segmentation of allele-specific DNA copy number
6335 data and detection of regions with abnormal copy number within each parental
6336 chromosome. Both tumor-normal paired and tumor-only analyses are supported.")
6337 (license license:gpl2+)))
6338
6339 (define-public r-protgenerics
6340 (package
6341 (name "r-protgenerics")
6342 (version "1.28.0")
6343 (source
6344 (origin
6345 (method url-fetch)
6346 (uri (bioconductor-uri "ProtGenerics" version))
6347 (sha256
6348 (base32
6349 "04hcgj4q8dbzp1a29rbww2bxxrg679pgys3m09p0ydkpsx76rq05"))))
6350 (properties `((upstream-name . "ProtGenerics")))
6351 (build-system r-build-system)
6352 (home-page "https://github.com/lgatto/ProtGenerics")
6353 (synopsis "S4 generic functions for proteomics infrastructure")
6354 (description
6355 "This package provides S4 generic functions needed by Bioconductor
6356 proteomics packages.")
6357 (license license:artistic2.0)))
6358
6359 (define-public r-rbgl
6360 (package
6361 (name "r-rbgl")
6362 (version "1.72.0")
6363 (source
6364 (origin
6365 (method url-fetch)
6366 (uri (bioconductor-uri "RBGL" version))
6367 (sha256
6368 (base32
6369 "0ph089vxla49sng0pdwiyh9rpk9i96cbsx5q2jn46jj4x51ijc7y"))))
6370 (properties `((upstream-name . "RBGL")))
6371 (build-system r-build-system)
6372 (propagated-inputs
6373 (list r-bh r-graph))
6374 (home-page "https://www.bioconductor.org/packages/RBGL")
6375 (synopsis "Interface to the Boost graph library")
6376 (description
6377 "This package provides a fairly extensive and comprehensive interface to
6378 the graph algorithms contained in the Boost library.")
6379 (license license:artistic2.0)))
6380
6381 (define-public r-rcas
6382 (package
6383 (name "r-rcas")
6384 (version "1.22.0")
6385 (source (origin
6386 (method url-fetch)
6387 (uri (bioconductor-uri "RCAS" version))
6388 (sha256
6389 (base32
6390 "05sj2ab7bxgf41gkmjaskhqm0198xlir1sw3f73x8rjg14rssmqf"))))
6391 (properties `((upstream-name . "RCAS")))
6392 (build-system r-build-system)
6393 (propagated-inputs
6394 (list r-biocgenerics
6395 r-biostrings
6396 r-bsgenome
6397 r-bsgenome-hsapiens-ucsc-hg19
6398 r-cowplot
6399 r-data-table
6400 r-dt
6401 r-genomation
6402 r-genomeinfodb
6403 r-genomicfeatures
6404 r-genomicranges
6405 r-ggplot2
6406 r-ggseqlogo
6407 r-gprofiler2
6408 r-iranges
6409 r-knitr
6410 r-pbapply
6411 r-pheatmap
6412 r-plotly
6413 r-plotrix
6414 r-proxy
6415 r-ranger
6416 r-rsqlite
6417 r-rtracklayer
6418 r-rmarkdown
6419 r-s4vectors
6420 pandoc))
6421 (native-inputs
6422 (list r-knitr))
6423 (synopsis "RNA-centric annotation system")
6424 (description
6425 "RCAS aims to be a standalone RNA-centric annotation system that provides
6426 intuitive reports and publication-ready graphics. This package provides the R
6427 library implementing most of the pipeline's features.")
6428 (home-page "https://github.com/BIMSBbioinfo/RCAS")
6429 (license license:artistic2.0)))
6430
6431 (define-public r-regioner
6432 (package
6433 (name "r-regioner")
6434 (version "1.28.0")
6435 (source
6436 (origin
6437 (method url-fetch)
6438 (uri (bioconductor-uri "regioneR" version))
6439 (sha256
6440 (base32
6441 "11whi2v211xiz9s7cjl14d8vavlry2fmhvx12rma25wkjmhrpa3f"))))
6442 (properties `((upstream-name . "regioneR")))
6443 (build-system r-build-system)
6444 (propagated-inputs
6445 (list r-biostrings
6446 r-bsgenome
6447 r-genomeinfodb
6448 r-genomicranges
6449 r-iranges
6450 r-memoise
6451 r-rtracklayer
6452 r-s4vectors))
6453 (native-inputs
6454 (list r-knitr))
6455 (home-page "https://bioconductor.org/packages/regioneR/")
6456 (synopsis "Association analysis of genomic regions")
6457 (description "This package offers a statistical framework based on
6458 customizable permutation tests to assess the association between genomic
6459 region sets and other genomic features.")
6460 (license license:artistic2.0)))
6461
6462 (define-public r-reportingtools
6463 (package
6464 (name "r-reportingtools")
6465 (version "2.36.0")
6466 (source
6467 (origin
6468 (method url-fetch)
6469 (uri (bioconductor-uri "ReportingTools" version))
6470 (sha256
6471 (base32
6472 "0r8cdqzfh1jxkghhk3j8x3y9kkmdyg9ibfhsic15jqkmp1im6khh"))))
6473 (properties
6474 `((upstream-name . "ReportingTools")))
6475 (build-system r-build-system)
6476 (propagated-inputs
6477 (list r-annotate
6478 r-annotationdbi
6479 r-biobase
6480 r-biocgenerics
6481 r-category
6482 r-deseq2
6483 r-edger
6484 r-ggbio
6485 r-ggplot2
6486 r-gostats
6487 r-gseabase
6488 r-hwriter
6489 r-iranges
6490 r-knitr
6491 r-lattice
6492 r-limma
6493 r-pfam-db
6494 r-r-utils
6495 r-xml))
6496 (native-inputs
6497 (list r-knitr))
6498 (home-page "https://bioconductor.org/packages/ReportingTools/")
6499 (synopsis "Tools for making reports in various formats")
6500 (description
6501 "The ReportingTools package enables users to easily display reports of
6502 analysis results generated from sources such as microarray and sequencing
6503 data. The package allows users to create HTML pages that may be viewed on a
6504 web browser, or in other formats. Users can generate tables with sortable and
6505 filterable columns, make and display plots, and link table entries to other
6506 data sources such as NCBI or larger plots within the HTML page. Using the
6507 package, users can also produce a table of contents page to link various
6508 reports together for a particular project that can be viewed in a web
6509 browser.")
6510 (license license:artistic2.0)))
6511
6512 (define-public r-rhdf5
6513 (package
6514 (name "r-rhdf5")
6515 (version "2.40.0")
6516 (source (origin
6517 (method url-fetch)
6518 (uri (bioconductor-uri "rhdf5" version))
6519 (sha256
6520 (base32
6521 "00cp90mnb8p83jiflm6x4x0qf4p7gvgh47jk9jry6j3qyvfqaiff"))))
6522 (build-system r-build-system)
6523 (propagated-inputs
6524 (list r-rhdf5filters r-rhdf5lib))
6525 (native-inputs
6526 (list r-knitr))
6527 (home-page "https://bioconductor.org/packages/rhdf5")
6528 (synopsis "HDF5 interface to R")
6529 (description
6530 "This R/Bioconductor package provides an interface between HDF5 and R.
6531 HDF5's main features are the ability to store and access very large and/or
6532 complex datasets and a wide variety of metadata on mass storage (disk) through
6533 a completely portable file format. The rhdf5 package is thus suited for the
6534 exchange of large and/or complex datasets between R and other software
6535 package, and for letting R applications work on datasets that are larger than
6536 the available RAM.")
6537 (license license:artistic2.0)))
6538
6539 (define-public r-rhdf5filters
6540 (package
6541 (name "r-rhdf5filters")
6542 (version "1.8.0")
6543 (source
6544 (origin
6545 (method url-fetch)
6546 (uri (bioconductor-uri "rhdf5filters" version))
6547 (sha256
6548 (base32
6549 "1ipg0v8nqz1imj63scqmpiswcxbl4ankg3knfq4p06ic6ypbbmvs"))))
6550 (properties `((upstream-name . "rhdf5filters")))
6551 (build-system r-build-system)
6552 (propagated-inputs
6553 (list r-rhdf5lib))
6554 (inputs
6555 (list zlib))
6556 (native-inputs
6557 (list r-knitr))
6558 (home-page "https://github.com/grimbough/rhdf5filters")
6559 (synopsis "HDF5 compression filters")
6560 (description
6561 "This package provides a collection of compression filters for use with
6562 HDF5 datasets.")
6563 (license license:bsd-2)))
6564
6565 (define-public r-rsamtools
6566 (package
6567 (name "r-rsamtools")
6568 (version "2.12.0")
6569 (source (origin
6570 (method url-fetch)
6571 (uri (bioconductor-uri "Rsamtools" version))
6572 (sha256
6573 (base32
6574 "1wll703if12qrn0d11ljwf7rqhs4lb27fzyyz1hqwvzn3v361s10"))))
6575 (properties
6576 `((upstream-name . "Rsamtools")))
6577 (build-system r-build-system)
6578 (arguments
6579 `(#:phases
6580 (modify-phases %standard-phases
6581 (add-after 'unpack 'use-system-zlib
6582 (lambda _
6583 (substitute* "DESCRIPTION"
6584 (("zlibbioc, ") ""))
6585 (substitute* "NAMESPACE"
6586 (("import\\(zlibbioc\\)") "")))))))
6587 (propagated-inputs
6588 (list r-biocgenerics
6589 r-biocparallel
6590 r-biostrings
6591 r-bitops
6592 r-genomeinfodb
6593 r-genomicranges
6594 r-iranges
6595 r-rhtslib
6596 r-s4vectors
6597 r-xvector))
6598 (home-page "https://bioconductor.org/packages/release/bioc/html/Rsamtools.html")
6599 (synopsis "Interface to samtools, bcftools, and tabix")
6600 (description
6601 "This package provides an interface to the @code{samtools},
6602 @code{bcftools}, and @code{tabix} utilities for manipulating SAM (Sequence
6603 Alignment / Map), FASTA, binary variant call (BCF) and compressed indexed
6604 tab-delimited (tabix) files.")
6605 (license license:expat)))
6606
6607 ;; This is a CRAN package, but it depends on a Bioconductor package:
6608 ;; s4vectors.
6609 (define-public r-restfulr
6610 (package
6611 (name "r-restfulr")
6612 (version "0.0.15")
6613 (source
6614 (origin
6615 (method url-fetch)
6616 (uri (cran-uri "restfulr" version))
6617 (sha256
6618 (base32
6619 "14p6h0gjknqy5z2fprxw7waf4p0cd2qmp18s7qig4ylqn8gqzzs0"))))
6620 (properties `((upstream-name . "restfulr")))
6621 (build-system r-build-system)
6622 (propagated-inputs
6623 (list r-rcurl r-rjson r-s4vectors r-xml r-yaml))
6624 (home-page "https://cran.r-project.org/package=restfulr")
6625 (synopsis "R interface to RESTful web services")
6626 (description
6627 "This package models a RESTful service as if it were a nested R list.")
6628 (license license:artistic2.0)))
6629
6630 (define-public r-rtracklayer
6631 (package
6632 (name "r-rtracklayer")
6633 (version "1.56.1")
6634 (source (origin
6635 (method url-fetch)
6636 (uri (bioconductor-uri "rtracklayer" version))
6637 (sha256
6638 (base32
6639 "10qy9s6253mgj871qfqn03i8yw10mz7id4cxfyf67qxczz2xmjls"))))
6640 (build-system r-build-system)
6641 (arguments
6642 `(#:phases
6643 (modify-phases %standard-phases
6644 (add-after 'unpack 'use-system-zlib
6645 (lambda _
6646 (substitute* "DESCRIPTION"
6647 ((" zlibbioc,") ""))
6648 (substitute* "NAMESPACE"
6649 (("import\\(zlibbioc\\)") "")))))))
6650 (native-inputs
6651 (list pkg-config))
6652 (inputs
6653 (list zlib))
6654 (propagated-inputs
6655 (list r-biocgenerics
6656 r-biocio
6657 r-biostrings
6658 r-genomeinfodb
6659 r-genomicalignments
6660 r-genomicranges
6661 r-iranges
6662 r-rcurl
6663 r-restfulr
6664 r-rsamtools
6665 r-s4vectors
6666 r-xml
6667 r-xvector
6668 r-zlibbioc))
6669 (home-page "https://bioconductor.org/packages/rtracklayer")
6670 (synopsis "R interface to genome browsers and their annotation tracks")
6671 (description
6672 "rtracklayer is an extensible framework for interacting with multiple
6673 genome browsers (currently UCSC built-in) and manipulating annotation tracks
6674 in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit
6675 built-in). The user may export/import tracks to/from the supported browsers,
6676 as well as query and modify the browser state, such as the current viewport.")
6677 (license license:artistic2.0)))
6678
6679 ;; This is a CRAN package, but it depends on a Bioconductor package.
6680 (define-public r-samr
6681 (package
6682 (name "r-samr")
6683 (version "3.0")
6684 (source
6685 (origin
6686 (method url-fetch)
6687 (uri (cran-uri "samr" version))
6688 (sha256
6689 (base32
6690 "01km0f7qgm73x19vbvsxl083hs1dq4dj8qm5h64cxbf20b08my15"))))
6691 (properties `((upstream-name . "samr")))
6692 (build-system r-build-system)
6693 (propagated-inputs
6694 (list r-gsa
6695 r-impute
6696 r-matrixstats
6697 r-openxlsx
6698 r-shiny
6699 r-shinyfiles))
6700 (native-inputs (list gfortran))
6701 (home-page "https://statweb.stanford.edu/~tibs/SAM/")
6702 (synopsis "Significance analysis of Microarrays")
6703 (description
6704 "This is a package for significance analysis of Microarrays for
6705 differential expression analysis, RNAseq data and related problems.")
6706 ;; Any version of the LGPL
6707 (license license:lgpl3+)))
6708
6709 (define-public r-scannotatr
6710 (package
6711 (name "r-scannotatr")
6712 (version "1.2.0")
6713 (source
6714 (origin
6715 (method url-fetch)
6716 (uri (bioconductor-uri "scAnnotatR" version))
6717 (sha256
6718 (base32 "067q57kabhqd1z8l3d91fw74aaw89nb48gm6fll4hv00nqza3n5b"))))
6719 (properties `((upstream-name . "scAnnotatR")))
6720 (build-system r-build-system)
6721 (propagated-inputs
6722 (list r-annotationhub
6723 r-ape
6724 r-caret
6725 r-data-tree
6726 r-dplyr
6727 r-e1071
6728 r-ggplot2
6729 r-kernlab
6730 r-proc
6731 r-rocr
6732 r-seurat
6733 r-singlecellexperiment
6734 r-summarizedexperiment))
6735 (native-inputs (list r-knitr))
6736 (home-page "https://github.com/grisslab/scAnnotatR")
6737 (synopsis "Pretrained models for prediction on single cell RNA-sequencing data")
6738 (description
6739 "This package comprises a set of pretrained machine learning models to
6740 predict basic immune cell types. This enables to quickly get a first
6741 annotation of the cell types present in the dataset without requiring prior
6742 knowledge. The package also lets you train using own models to predict new
6743 cell types based on specific research needs.")
6744 (license license:expat)))
6745
6746 (define-public r-scdblfinder
6747 (package
6748 (name "r-scdblfinder")
6749 (version "1.10.0")
6750 (source
6751 (origin
6752 (method url-fetch)
6753 (uri (bioconductor-uri "scDblFinder" version))
6754 (sha256
6755 (base32 "0y14dvdm16b3bvlrnz03adfylm1kj6jrp2fwciyldij2lfal90y0"))))
6756 (properties `((upstream-name . "scDblFinder")))
6757 (build-system r-build-system)
6758 (propagated-inputs
6759 (list r-biocgenerics
6760 r-biocneighbors
6761 r-biocparallel
6762 r-biocsingular
6763 r-bluster
6764 r-delayedarray
6765 r-genomeinfodb
6766 r-genomicranges
6767 r-igraph
6768 r-iranges
6769 r-mass
6770 r-matrix
6771 r-rsamtools
6772 r-rtracklayer
6773 r-s4vectors
6774 r-scater
6775 r-scran
6776 r-scuttle
6777 r-singlecellexperiment
6778 r-summarizedexperiment
6779 r-xgboost))
6780 (native-inputs (list r-knitr))
6781 (home-page "https://github.com/plger/scDblFinder")
6782 (synopsis "Detect multiplets in single-cell RNA sequencing data")
6783 (description
6784 "The scDblFinder package gathers various methods for the detection and
6785 handling of doublets/multiplets in single-cell RNA sequencing data (i.e.
6786 multiple cells captured within the same droplet or reaction volume). It
6787 includes methods formerly found in the scran package, and the new fast and
6788 comprehensive scDblFinder method.")
6789 (license license:gpl3)))
6790
6791 (define-public r-scmap
6792 (package
6793 (name "r-scmap")
6794 (version "1.18.0")
6795 (source
6796 (origin
6797 (method url-fetch)
6798 (uri (bioconductor-uri "scmap" version))
6799 (sha256
6800 (base32 "0pfwaa9pgml11b84rpf7afdkmg8kxb4srgpc56571vaz388xrv7l"))))
6801 (properties `((upstream-name . "scmap")))
6802 (build-system r-build-system)
6803 (propagated-inputs
6804 (list r-biobase
6805 r-biocgenerics
6806 r-dplyr
6807 r-e1071
6808 r-ggplot2
6809 r-googlevis
6810 r-matrixstats
6811 r-proxy
6812 r-randomforest
6813 r-rcpp
6814 r-rcpparmadillo
6815 r-reshape2
6816 r-s4vectors
6817 r-singlecellexperiment
6818 r-summarizedexperiment))
6819 (native-inputs (list r-knitr))
6820 (home-page "https://github.com/hemberg-lab/scmap")
6821 (synopsis "Tool for unsupervised projection of single cell RNA-seq data")
6822 (description
6823 "@dfn{Single-cell RNA-seq} (scRNA-seq) is widely used to investigate the
6824 composition of complex tissues since the technology allows researchers to
6825 define cell-types using unsupervised clustering of the transcriptome.
6826 However, due to differences in experimental methods and computational
6827 analyses, it is often challenging to directly compare the cells identified in
6828 two different experiments. @code{scmap} is a method for projecting cells from
6829 a scRNA-seq experiment onto the cell-types or individual cells identified in a
6830 different experiment.")
6831 (license license:gpl3)))
6832
6833 (define-public r-scry
6834 (package
6835 (name "r-scry")
6836 (version "1.8.0")
6837 (source (origin
6838 (method url-fetch)
6839 (uri (bioconductor-uri "scry" version))
6840 (sha256
6841 (base32
6842 "16mj21r91jy8ircdz8rfrdli9gjy0hrx90kf6ghs305d3d4dl193"))))
6843 (properties `((upstream-name . "scry")))
6844 (build-system r-build-system)
6845 (propagated-inputs
6846 (list r-biocsingular
6847 r-delayedarray
6848 r-glmpca
6849 r-hdf5array
6850 r-matrix
6851 r-singlecellexperiment
6852 r-summarizedexperiment))
6853 (native-inputs (list r-knitr))
6854 (home-page "https://bioconductor.org/packages/scry.html")
6855 (synopsis "Small-count analysis methods for high-dimensional data")
6856 (description
6857 "Many modern biological datasets consist of small counts that are not
6858 well fit by standard linear-Gaussian methods such as principal component
6859 analysis. This package provides implementations of count-based feature
6860 selection and dimension reduction algorithms. These methods can be used to
6861 facilitate unsupervised analysis of any high-dimensional data such as
6862 single-cell RNA-seq.")
6863 (license license:artistic2.0)))
6864
6865 (define-public r-seqlogo
6866 (package
6867 (name "r-seqlogo")
6868 (version "1.62.0")
6869 (source
6870 (origin
6871 (method url-fetch)
6872 (uri (bioconductor-uri "seqLogo" version))
6873 (sha256
6874 (base32
6875 "1lk3238m17acmd6lgjjbpscyxw8fm63wv34kbbr478wcih1wbwxr"))))
6876 (properties `((upstream-name . "seqLogo")))
6877 (build-system r-build-system)
6878 (native-inputs
6879 (list r-knitr))
6880 (home-page "https://bioconductor.org/packages/seqLogo")
6881 (synopsis "Sequence logos for DNA sequence alignments")
6882 (description
6883 "seqLogo takes the position weight matrix of a DNA sequence motif and
6884 plots the corresponding sequence logo as introduced by Schneider and
6885 Stephens (1990).")
6886 (license license:lgpl2.0+)))
6887
6888 (define-public r-seqpattern
6889 (package
6890 (name "r-seqpattern")
6891 (version "1.28.0")
6892 (source (origin
6893 (method url-fetch)
6894 (uri (bioconductor-uri "seqPattern" version))
6895 (sha256
6896 (base32
6897 "0nrrlr1nl9zxmp88qq8jn7wgmda6jh0xvp4nph94w4nwjsyb7xqn"))))
6898 (properties
6899 `((upstream-name . "seqPattern")))
6900 (build-system r-build-system)
6901 (propagated-inputs
6902 (list r-biostrings r-genomicranges r-iranges r-kernsmooth r-plotrix))
6903 (home-page "https://bioconductor.org/packages/seqPattern")
6904 (synopsis "Visualising oligonucleotide patterns and motif occurrences")
6905 (description
6906 "This package provides tools to visualize oligonucleotide patterns and
6907 sequence motif occurrences across a large set of sequences centred at a common
6908 reference point and sorted by a user defined feature.")
6909 (license license:gpl3+)))
6910
6911 (define-public r-shortread
6912 (package
6913 (name "r-shortread")
6914 (version "1.54.0")
6915 (source
6916 (origin
6917 (method url-fetch)
6918 (uri (bioconductor-uri "ShortRead" version))
6919 (sha256
6920 (base32
6921 "0303198b4v2wjah9kc829kn01030996l6di4jpf8q5ccd212rjhq"))))
6922 (properties `((upstream-name . "ShortRead")))
6923 (build-system r-build-system)
6924 (inputs
6925 (list zlib))
6926 (propagated-inputs
6927 (list r-biobase
6928 r-biocgenerics
6929 r-biocparallel
6930 r-biostrings
6931 r-genomeinfodb
6932 r-genomicalignments
6933 r-genomicranges
6934 r-rhtslib
6935 r-hwriter
6936 r-iranges
6937 r-lattice
6938 r-latticeextra
6939 r-rsamtools
6940 r-s4vectors
6941 r-xvector
6942 r-zlibbioc))
6943 (home-page "https://bioconductor.org/packages/ShortRead")
6944 (synopsis "FASTQ input and manipulation tools")
6945 (description
6946 "This package implements sampling, iteration, and input of FASTQ files.
6947 It includes functions for filtering and trimming reads, and for generating a
6948 quality assessment report. Data are represented as
6949 @code{DNAStringSet}-derived objects, and easily manipulated for a diversity of
6950 purposes. The package also contains legacy support for early single-end,
6951 ungapped alignment formats.")
6952 (license license:artistic2.0)))
6953
6954 (define-public r-simplifyenrichment
6955 (package
6956 (name "r-simplifyenrichment")
6957 (version "1.6.1")
6958 (source
6959 (origin
6960 (method url-fetch)
6961 (uri (bioconductor-uri "simplifyEnrichment" version))
6962 (sha256
6963 (base32
6964 "0qblgdxmr7zc981529cca3ykakql618q1im6gaxw8pwws5jgpyk6"))))
6965 (properties
6966 `((upstream-name . "simplifyEnrichment")))
6967 (build-system r-build-system)
6968 (propagated-inputs
6969 (list r-annotationdbi
6970 r-biocgenerics
6971 r-circlize
6972 r-clue
6973 r-cluster
6974 r-colorspace
6975 r-complexheatmap
6976 r-digest
6977 r-getoptlong
6978 r-globaloptions
6979 r-go-db
6980 r-gosemsim
6981 r-matrix
6982 r-org-hs-eg-db
6983 r-proxyc
6984 r-slam
6985 r-tm))
6986 (native-inputs (list r-knitr))
6987 (home-page "https://github.com/jokergoo/simplifyEnrichment")
6988 (synopsis "Simplify functional enrichment results")
6989 (description "This package provides a new clustering algorithm, binary
6990 cut, for clustering similarity matrices of functional terms is implemented in
6991 this package. It also provides functionalities for visualizing, summarizing
6992 and comparing the clusterings.")
6993 (license license:expat)))
6994
6995 (define-public r-transcriptr
6996 (package
6997 (name "r-transcriptr")
6998 (version "1.24.0")
6999 (source
7000 (origin
7001 (method url-fetch)
7002 (uri (bioconductor-uri "transcriptR" version))
7003 (sha256
7004 (base32 "1zc6aasd5nzwl9jxr0rdriiq85adqdbfi5b9m3jyf69pa71sgy03"))))
7005 (properties `((upstream-name . "transcriptR")))
7006 (build-system r-build-system)
7007 (propagated-inputs
7008 (list r-biocgenerics
7009 r-caret
7010 r-chipseq
7011 r-e1071
7012 r-genomeinfodb
7013 r-genomicalignments
7014 r-genomicfeatures
7015 r-genomicranges
7016 r-ggplot2
7017 r-iranges
7018 r-proc
7019 r-reshape2
7020 r-rsamtools
7021 r-rtracklayer
7022 r-s4vectors))
7023 (native-inputs (list r-knitr))
7024 (home-page "https://bioconductor.org/packages/transcriptR")
7025 (synopsis "Primary transcripts detection and quantification")
7026 (description
7027 "The differences in the RNA types being sequenced have an impact on the
7028 resulting sequencing profiles. mRNA-seq data is enriched with reads derived
7029 from exons, while GRO-, nucRNA- and chrRNA-seq demonstrate a substantial
7030 broader coverage of both exonic and intronic regions. The presence of
7031 intronic reads in GRO-seq type of data makes it possible to use it to
7032 computationally identify and quantify all de novo continuous regions of
7033 transcription distributed across the genome. This type of data, however, is
7034 more challenging to interpret and less common practice compared to mRNA-seq.
7035 One of the challenges for primary transcript detection concerns the
7036 simultaneous transcription of closely spaced genes, which needs to be properly
7037 divided into individually transcribed units. The R package transcriptR
7038 combines RNA-seq data with ChIP-seq data of histone modifications that mark
7039 active Transcription Start Sites (TSSs), such as, H3K4me3 or H3K9/14Ac to
7040 overcome this challenge. The advantage of this approach over the use of, for
7041 example, gene annotations is that this approach is data driven and therefore
7042 able to deal also with novel and case specific events.")
7043 (license license:gpl3)))
7044
7045 (define-public r-trajectoryutils
7046 (package
7047 (name "r-trajectoryutils")
7048 (version "1.4.0")
7049 (source
7050 (origin
7051 (method url-fetch)
7052 (uri (bioconductor-uri "TrajectoryUtils" version))
7053 (sha256
7054 (base32
7055 "07hcr3zplxlzlwc13wh9006m5kaqm57cm1b2x74bpp857f2q93dj"))))
7056 (properties
7057 `((upstream-name . "TrajectoryUtils")))
7058 (build-system r-build-system)
7059 (propagated-inputs
7060 (list r-igraph r-matrix r-s4vectors r-singlecellexperiment
7061 r-summarizedexperiment))
7062 (native-inputs (list r-knitr))
7063 (home-page "https://bioconductor.org/packages/TrajectoryUtils")
7064 (synopsis "Single-cell trajectory analysis utilities")
7065 (description
7066 "This package implements low-level utilities for single-cell trajectory
7067 analysis, primarily intended for re-use inside higher-level packages. It
7068 includes a function to create a cluster-level minimum spanning tree and data
7069 structures to hold pseudotime inference results.")
7070 (license license:gpl3)))
7071
7072 (define-public r-slingshot
7073 (package
7074 (name "r-slingshot")
7075 (version "2.4.0")
7076 (source (origin
7077 (method url-fetch)
7078 (uri (bioconductor-uri "slingshot" version))
7079 (sha256
7080 (base32
7081 "0xapi66l5z2qdqns3fcjqcjal6npqj7rxra60lwjvbrq49pq69p2"))))
7082 (build-system r-build-system)
7083 (propagated-inputs
7084 (list r-igraph
7085 r-matrixstats
7086 r-princurve
7087 r-s4vectors
7088 r-singlecellexperiment
7089 r-summarizedexperiment
7090 r-trajectoryutils))
7091 (native-inputs
7092 (list r-knitr))
7093 (home-page "https://bioconductor.org/packages/slingshot")
7094 (synopsis "Tools for ordering single-cell sequencing")
7095 (description "This package provides functions for inferring continuous,
7096 branching lineage structures in low-dimensional data. Slingshot was designed
7097 to model developmental trajectories in single-cell RNA sequencing data and
7098 serve as a component in an analysis pipeline after dimensionality reduction
7099 and clustering. It is flexible enough to handle arbitrarily many branching
7100 events and allows for the incorporation of prior knowledge through supervised
7101 graph construction.")
7102 (license license:artistic2.0)))
7103
7104 (define-public r-stager
7105 (package
7106 (name "r-stager")
7107 (version "1.18.0")
7108 (source
7109 (origin
7110 (method url-fetch)
7111 (uri (bioconductor-uri "stageR" version))
7112 (sha256
7113 (base32 "0ns3ih6l4na6irshrc5iy4d9qf7hrnqq3ndnlcjb2i1cn38l2w9y"))))
7114 (properties `((upstream-name . "stageR")))
7115 (build-system r-build-system)
7116 (propagated-inputs (list r-summarizedexperiment))
7117 (native-inputs (list r-knitr))
7118 (home-page "https://bioconductor.org/packages/stageR")
7119 (synopsis "Stage-wise analysis of high throughput gene expression data")
7120 (description
7121 "The stageR package allows automated stage-wise analysis of
7122 high-throughput gene expression data. The method is published in Genome
7123 Biology at
7124 @url{https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1277-0}.")
7125 (license license:gpl3)))
7126
7127 (define-public r-stringdb
7128 (package
7129 (name "r-stringdb")
7130 (version "2.8.4")
7131 (source
7132 (origin
7133 (method url-fetch)
7134 (uri (bioconductor-uri "STRINGdb" version))
7135 (sha256
7136 (base32 "1jn6080v6097zpqsr4gfbx31gqqdhpzjrk63avk3v3xwawmf2379"))))
7137 (properties `((upstream-name . "STRINGdb")))
7138 (build-system r-build-system)
7139 (propagated-inputs
7140 (list r-gplots
7141 r-hash
7142 r-igraph
7143 r-plotrix
7144 r-plyr
7145 r-png
7146 r-rcolorbrewer
7147 r-rcurl
7148 r-sqldf))
7149 (home-page "https://git.bioconductor.org/packages/STRINGdb")
7150 (synopsis "Search tool for the retrieval of interacting proteins database")
7151 (description
7152 "The @code{STRINGdb} package provides an R interface to the STRING
7153 protein-protein interactions database. @url{https://www.string-db.org,
7154 STRING} is a database of known and predicted protein-protein interactions.
7155 The interactions include direct (physical) and indirect (functional)
7156 associations. Each interaction is associated with a combined confidence score
7157 that integrates the various evidences.")
7158 (license license:gpl2)))
7159
7160 (define-public r-structuralvariantannotation
7161 (package
7162 (name "r-structuralvariantannotation")
7163 (version "1.12.0")
7164 (source
7165 (origin
7166 (method url-fetch)
7167 (uri (bioconductor-uri "StructuralVariantAnnotation" version))
7168 (sha256
7169 (base32 "0f3x74ic3blg8nm5xlv79k0n8j3fpl98mmhfanqfzmdl0g3j6wx6"))))
7170 (build-system r-build-system)
7171 (propagated-inputs
7172 (list r-assertthat
7173 r-biocgenerics
7174 r-biostrings
7175 r-dplyr
7176 r-genomeinfodb
7177 r-genomicfeatures
7178 r-genomicranges
7179 r-iranges
7180 r-rlang
7181 r-rtracklayer
7182 r-s4vectors
7183 r-stringr
7184 r-summarizedexperiment
7185 r-variantannotation))
7186 (native-inputs
7187 (list r-knitr))
7188 (home-page "https://bioconductor.org/packages/StructuralVariantAnnotation/")
7189 (synopsis "R package designed to simplify structural variant analysis")
7190 (description
7191 "This package contains useful helper functions for dealing with structural
7192 variants in VCF format. The packages contains functions for parsing VCFs from
7193 a number of popular callers as well as functions for dealing with breakpoints
7194 involving two separate genomic loci encoded as GRanges objects.")
7195 (license license:gpl3)))
7196
7197 (define-public r-summarizedexperiment
7198 (package
7199 (name "r-summarizedexperiment")
7200 (version "1.26.1")
7201 (source (origin
7202 (method url-fetch)
7203 (uri (bioconductor-uri "SummarizedExperiment" version))
7204 (sha256
7205 (base32
7206 "02vlqzmslyijs09jl0gdjxqjjnnl4yqbqqqlb4vb7nr0fspmyz39"))))
7207 (properties
7208 `((upstream-name . "SummarizedExperiment")))
7209 (build-system r-build-system)
7210 (propagated-inputs
7211 (list r-biobase
7212 r-biocgenerics
7213 r-delayedarray
7214 r-genomeinfodb
7215 r-genomicranges
7216 r-iranges
7217 r-matrix
7218 r-matrixgenerics
7219 r-s4vectors))
7220 (native-inputs
7221 (list r-knitr))
7222 (home-page "https://bioconductor.org/packages/SummarizedExperiment")
7223 (synopsis "Container for representing genomic ranges by sample")
7224 (description
7225 "The SummarizedExperiment container contains one or more assays, each
7226 represented by a matrix-like object of numeric or other mode. The rows
7227 typically represent genomic ranges of interest and the columns represent
7228 samples.")
7229 (license license:artistic2.0)))
7230
7231 (define-public r-sva
7232 (package
7233 (name "r-sva")
7234 (version "3.44.0")
7235 (source
7236 (origin
7237 (method url-fetch)
7238 (uri (bioconductor-uri "sva" version))
7239 (sha256
7240 (base32
7241 "0ka259rn0la0hjslj7w24q1dyyh79h84nw6mxp7armqbfjb207a4"))))
7242 (build-system r-build-system)
7243 (propagated-inputs
7244 (list r-edger
7245 r-genefilter
7246 r-mgcv
7247 r-biocparallel
7248 r-matrixstats
7249 r-limma))
7250 (home-page "https://bioconductor.org/packages/sva")
7251 (synopsis "Surrogate variable analysis")
7252 (description
7253 "This package contains functions for removing batch effects and other
7254 unwanted variation in high-throughput experiment. It also contains functions
7255 for identifying and building surrogate variables for high-dimensional data
7256 sets. Surrogate variables are covariates constructed directly from
7257 high-dimensional data like gene expression/RNA sequencing/methylation/brain
7258 imaging data that can be used in subsequent analyses to adjust for unknown,
7259 unmodeled, or latent sources of noise.")
7260 (license license:artistic2.0)))
7261
7262 (define-public r-systempiper
7263 (package
7264 (name "r-systempiper")
7265 (version "2.2.2")
7266 (source
7267 (origin
7268 (method url-fetch)
7269 (uri (bioconductor-uri "systemPipeR" version))
7270 (sha256
7271 (base32
7272 "1yybbff29gwv6rm0nw4yjw73bbl5prfj8gj4zky917smjfd459im"))))
7273 (properties `((upstream-name . "systemPipeR")))
7274 (build-system r-build-system)
7275 (propagated-inputs
7276 (list r-biocgenerics
7277 r-biostrings
7278 r-crayon
7279 r-genomicranges
7280 r-ggplot2
7281 r-htmlwidgets
7282 r-magrittr
7283 r-rsamtools
7284 r-s4vectors
7285 r-shortread
7286 r-stringr
7287 r-summarizedexperiment
7288 r-yaml))
7289 (native-inputs
7290 (list r-knitr))
7291 (home-page "https://github.com/tgirke/systemPipeR")
7292 (synopsis "Next generation sequencing workflow and reporting environment")
7293 (description
7294 "This R package provides tools for building and running automated
7295 end-to-end analysis workflows for a wide range of @dfn{next generation
7296 sequence} (NGS) applications such as RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq.
7297 Important features include a uniform workflow interface across different NGS
7298 applications, automated report generation, and support for running both R and
7299 command-line software, such as NGS aligners or peak/variant callers, on local
7300 computers or compute clusters. Efficient handling of complex sample sets and
7301 experimental designs is facilitated by a consistently implemented sample
7302 annotation infrastructure.")
7303 (license license:artistic2.0)))
7304
7305 (define-public r-topgo
7306 (package
7307 (name "r-topgo")
7308 (version "2.48.0")
7309 (source (origin
7310 (method url-fetch)
7311 (uri (bioconductor-uri "topGO" version))
7312 (sha256
7313 (base32
7314 "125r42ymk1irjmwk4sywjkcshs71s26p3zsvryfdvf56k5w162v6"))))
7315 (properties
7316 `((upstream-name . "topGO")))
7317 (build-system r-build-system)
7318 (propagated-inputs
7319 (list r-annotationdbi
7320 r-dbi
7321 r-biobase
7322 r-biocgenerics
7323 r-go-db
7324 r-graph
7325 r-lattice
7326 r-matrixstats
7327 r-sparsem))
7328 (home-page "https://bioconductor.org/packages/topGO")
7329 (synopsis "Enrichment analysis for gene ontology")
7330 (description
7331 "The topGO package provides tools for testing @dfn{gene ontology} (GO)
7332 terms while accounting for the topology of the GO graph. Different test
7333 statistics and different methods for eliminating local similarities and
7334 dependencies between GO terms can be implemented and applied.")
7335 ;; Any version of the LGPL applies.
7336 (license license:lgpl2.1+)))
7337
7338 (define-public r-tximport
7339 (package
7340 (name "r-tximport")
7341 (version "1.24.0")
7342 (source (origin
7343 (method url-fetch)
7344 (uri (bioconductor-uri "tximport" version))
7345 (sha256
7346 (base32
7347 "1cnra82pvwz79a1hkw0phc6aa3v43r5p4nx8xyx5wzmkd7rjkc8x"))))
7348 (build-system r-build-system)
7349 (native-inputs
7350 (list r-knitr))
7351 (home-page "https://bioconductor.org/packages/tximport")
7352 (synopsis "Import and summarize transcript-level estimates for gene-level analysis")
7353 (description
7354 "This package provides tools to import transcript-level abundance,
7355 estimated counts and transcript lengths, and to summarize them into matrices
7356 for use with downstream gene-level analysis packages. Average transcript
7357 length, weighted by sample-specific transcript abundance estimates, is
7358 provided as a matrix which can be used as an offset for different expression
7359 of gene-level counts.")
7360 (license license:gpl2+)))
7361
7362 ;; This is a CRAN package, but it depends on a Bioconductor package.
7363 (define-public r-valr
7364 (package
7365 (name "r-valr")
7366 (version "0.6.6")
7367 (source
7368 (origin
7369 (method url-fetch)
7370 (uri (cran-uri "valr" version))
7371 (sha256
7372 (base32
7373 "0w3j8fkssp9s4ybaw8hvqbmsh5m991xkgr4nji3zar2pgmgk3qph"))))
7374 (build-system r-build-system)
7375 (propagated-inputs
7376 (list r-broom
7377 r-cli
7378 r-dplyr
7379 r-ggplot2
7380 r-rcpp
7381 r-readr
7382 r-rlang
7383 r-rtracklayer ;bioconductor package
7384 r-stringr
7385 r-tibble))
7386 (native-inputs
7387 (list r-knitr))
7388 (home-page "https://github.com/rnabioco/valr")
7389 (synopsis "Genome interval arithmetic in R")
7390 (description
7391 "This package enables you to read and manipulate genome intervals and
7392 signals. It provides functionality similar to command-line tool suites within
7393 R, enabling interactive analysis and visualization of genome-scale data.")
7394 (license license:expat)))
7395
7396 (define-public r-variantannotation
7397 (package
7398 (name "r-variantannotation")
7399 (version "1.42.1")
7400 (source (origin
7401 (method url-fetch)
7402 (uri (bioconductor-uri "VariantAnnotation" version))
7403 (sha256
7404 (base32
7405 "12d5hkx6pby6l2asyg4jp4jb2x17ybwhqd55rl64h37mwcndbdg1"))))
7406 (properties
7407 `((upstream-name . "VariantAnnotation")))
7408 (propagated-inputs
7409 (list r-annotationdbi
7410 r-biobase
7411 r-biocgenerics
7412 r-biostrings
7413 r-bsgenome
7414 r-dbi
7415 r-genomeinfodb
7416 r-genomicfeatures
7417 r-genomicranges
7418 r-iranges
7419 r-matrixgenerics
7420 r-summarizedexperiment
7421 r-rhtslib
7422 r-rsamtools
7423 r-rtracklayer
7424 r-s4vectors
7425 r-xvector
7426 r-zlibbioc))
7427 (build-system r-build-system)
7428 (home-page "https://bioconductor.org/packages/VariantAnnotation")
7429 (synopsis "Package for annotation of genetic variants")
7430 (description "This R package can annotate variants, compute amino acid
7431 coding changes and predict coding outcomes.")
7432 (license license:artistic2.0)))
7433
7434 (define-public r-vsn
7435 (package
7436 (name "r-vsn")
7437 (version "3.64.0")
7438 (source
7439 (origin
7440 (method url-fetch)
7441 (uri (bioconductor-uri "vsn" version))
7442 (sha256
7443 (base32
7444 "1ja7vdjvgx671l57f9fzfn4vc6q7xzfmqs4krg2rdyfaaf531gqf"))))
7445 (build-system r-build-system)
7446 (propagated-inputs
7447 (list r-affy r-biobase r-ggplot2 r-lattice r-limma))
7448 (native-inputs
7449 (list r-knitr)) ; for vignettes
7450 (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html")
7451 (synopsis "Variance stabilization and calibration for microarray data")
7452 (description
7453 "The package implements a method for normalising microarray intensities,
7454 and works for single- and multiple-color arrays. It can also be used for data
7455 from other technologies, as long as they have similar format. The method uses
7456 a robust variant of the maximum-likelihood estimator for an
7457 additive-multiplicative error model and affine calibration. The model
7458 incorporates data calibration step (a.k.a. normalization), a model for the
7459 dependence of the variance on the mean intensity and a variance stabilizing
7460 data transformation. Differences between transformed intensities are
7461 analogous to \"normalized log-ratios\". However, in contrast to the latter,
7462 their variance is independent of the mean, and they are usually more sensitive
7463 and specific in detecting differential transcription.")
7464 (license license:artistic2.0)))
7465
7466 ;; There is no source tarball, so we fetch the code from the Bioconductor git
7467 ;; repository.
7468 (define-public r-xcir
7469 (let ((commit "3b59d456f2ad7f70285915b036b1dc4279687277")
7470 (revision "1"))
7471 (package
7472 (name "r-xcir")
7473 (version (git-version "1.8.0" revision commit))
7474 (source (origin
7475 (method git-fetch)
7476 (uri (git-reference
7477 (url "https://git.bioconductor.org/packages/XCIR")
7478 (commit commit)))
7479 (file-name (git-file-name name version))
7480 (sha256
7481 (base32
7482 "1xxw5ady5j2p7z7zjxgx7lhm85x7fxbljiv49lc2ghsvh9wm937p"))))
7483 (properties `((upstream-name . "XCIR")))
7484 (build-system r-build-system)
7485 (propagated-inputs (list r-biomart
7486 r-biostrings
7487 r-data-table
7488 r-ggplot2
7489 r-iranges
7490 r-readxl
7491 r-s4vectors
7492 r-seqminer
7493 r-variantannotation))
7494 (native-inputs (list r-knitr))
7495 (home-page "https://github.com/SRenan/XCIR")
7496 (synopsis "Analysis of X chromosome inactivation")
7497 (description
7498 "This package is an R package that offers models and tools for subject
7499 level analysis of @dfn{X chromosome inactivation} (XCI) and XCI-escape
7500 inference.")
7501 (license license:gpl2))))
7502
7503 (define-public r-xina
7504 (package
7505 (name "r-xina")
7506 (version "1.14.0")
7507 (source
7508 (origin
7509 (method url-fetch)
7510 (uri (bioconductor-uri "XINA" version))
7511 (sha256
7512 (base32 "03gf7mqpnwx12kny9fsaskgrw83b0wi2cf1j4dbq46pfxjx34v1g"))))
7513 (properties `((upstream-name . "XINA")))
7514 (build-system r-build-system)
7515 (propagated-inputs
7516 (list r-alluvial
7517 r-ggplot2
7518 r-gridextra
7519 r-igraph
7520 r-mclust
7521 r-plyr
7522 r-stringdb))
7523 (native-inputs (list r-knitr))
7524 (home-page "https://git.bioconductor.org/packages/XINA")
7525 (synopsis "Identifying proteins that exhibit similar patterns")
7526 (description
7527 "The aim of @code{XINA} is to determine which proteins exhibit similar
7528 patterns within and across experimental conditions, since proteins with
7529 co-abundance patterns may have common molecular functions. @code{XINA} imports
7530 multiple datasets, tags dataset in silico, and combines the data for subsequent
7531 subgrouping into multiple clusters. The result is a single output depicting
7532 the variation across all conditions. @code{XINA} not only extracts
7533 coabundance profiles within and across experiments, but also incorporates
7534 protein-protein interaction databases and integrative resources such as
7535 @dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and
7536 molecular functions, respectively, and produces intuitive graphical outputs.")
7537 (license license:gpl3)))
7538
7539 (define-public r-xmapbridge
7540 (package
7541 (name "r-xmapbridge")
7542 (version "1.54.0")
7543 (source
7544 (origin
7545 (method url-fetch)
7546 (uri (bioconductor-uri "xmapbridge" version))
7547 (sha256
7548 (base32 "1n3nxc4jwxf5z32i70sza52nyk29adhp8vc3hac7r5b8mbi6gg10"))))
7549 (properties `((upstream-name . "xmapbridge")))
7550 (build-system r-build-system)
7551 (home-page "https://git.bioconductor.org/packages/xmapbridge")
7552 (synopsis "Display numeric data in the web based genome browser X:MAP")
7553 (description
7554 "The package @code{xmapbridge} can plot graphs in the X:Map genome
7555 browser. X:Map uses the Google Maps API to provide a scrollable view of the
7556 genome. It supports a number of species, and can be accessed at
7557 @url{http://xmap.picr.man.ac.uk}. This package exports plotting files in a
7558 suitable format. Graph plotting in R is done using calls to the functions
7559 @code{xmap.plot} and @code{xmap.points}, which have parameters that aim to be
7560 similar to those used by the standard plot methods in R. These result in data
7561 being written to a set of files (in a specific directory structure) that
7562 contain the data to be displayed, as well as some additional meta-data
7563 describing each of the graphs.")
7564 (license license:lgpl3)))
7565
7566 (define-public r-xvector
7567 (package
7568 (name "r-xvector")
7569 (version "0.36.0")
7570 (source (origin
7571 (method url-fetch)
7572 (uri (bioconductor-uri "XVector" version))
7573 (sha256
7574 (base32
7575 "1f3sbqy279gb9k13l73j00ixywa1havlqy81zx766r1xkz15nvhk"))))
7576 (properties
7577 `((upstream-name . "XVector")))
7578 (build-system r-build-system)
7579 (arguments
7580 `(#:phases
7581 (modify-phases %standard-phases
7582 (add-after 'unpack 'use-system-zlib
7583 (lambda _
7584 (substitute* "DESCRIPTION"
7585 (("zlibbioc, ") ""))
7586 (substitute* "NAMESPACE"
7587 (("import\\(zlibbioc\\)") ""))
7588 #t)))))
7589 (inputs
7590 (list zlib))
7591 (propagated-inputs
7592 (list r-biocgenerics r-iranges r-s4vectors))
7593 (home-page "https://bioconductor.org/packages/XVector")
7594 (synopsis "Representation and manpulation of external sequences")
7595 (description
7596 "This package provides memory efficient S4 classes for storing sequences
7597 \"externally\" (behind an R external pointer, or on disk).")
7598 (license license:artistic2.0)))
7599
7600 (define-public r-zlibbioc
7601 (package
7602 (name "r-zlibbioc")
7603 (version "1.42.0")
7604 (source (origin
7605 (method url-fetch)
7606 (uri (bioconductor-uri "zlibbioc" version))
7607 (sha256
7608 (base32
7609 "0w0y9jixdk6akmasn55g9g0nhlh93hbca5bwx5w1fypnvqrqpxzv"))))
7610 (properties
7611 `((upstream-name . "zlibbioc")))
7612 (build-system r-build-system)
7613 (home-page "https://bioconductor.org/packages/zlibbioc")
7614 (synopsis "Provider for zlib-1.2.5 to R packages")
7615 (description "This package uses the source code of zlib-1.2.5 to create
7616 libraries for systems that do not have these available via other means.")
7617 (license license:artistic2.0)))
7618
7619 (define-public r-zellkonverter
7620 (package
7621 (name "r-zellkonverter")
7622 (version "1.6.5")
7623 (source
7624 (origin
7625 (method url-fetch)
7626 (uri (bioconductor-uri "zellkonverter" version))
7627 (sha256
7628 (base32 "0rxpjkisjj1xjchjjm72k8za5hn48wbdahmbllljvxm5ii6k36k6"))))
7629 (properties `((upstream-name . "zellkonverter")))
7630 (build-system r-build-system)
7631 (propagated-inputs
7632 (list r-basilisk
7633 r-cli
7634 r-delayedarray
7635 r-matrix
7636 r-reticulate
7637 r-s4vectors
7638 r-singlecellexperiment
7639 r-summarizedexperiment))
7640 (native-inputs (list r-knitr))
7641 (home-page "https://github.com/theislab/zellkonverter")
7642 (synopsis "Conversion between AnnData and single-cell experiments objects")
7643 (description
7644 "This package provides methods to convert between Python AnnData objects
7645 and SingleCellExperiment objects. These are primarily intended for use by
7646 downstream Bioconductor packages that wrap Python methods for single-cell data
7647 analysis. It also includes functions to read and write H5AD files used for
7648 saving AnnData objects to disk.")
7649 (license license:expat)))
7650
7651 (define-public r-geneplotter
7652 (package
7653 (name "r-geneplotter")
7654 (version "1.74.0")
7655 (source
7656 (origin
7657 (method url-fetch)
7658 (uri (bioconductor-uri "geneplotter" version))
7659 (sha256
7660 (base32
7661 "13230mzrdralnvf9jp032s16a8mk3kx5476nnvpa4pvcgp1i1ijc"))))
7662 (build-system r-build-system)
7663 (propagated-inputs
7664 (list r-annotate
7665 r-annotationdbi
7666 r-biobase
7667 r-biocgenerics
7668 r-lattice
7669 r-rcolorbrewer))
7670 (home-page "https://bioconductor.org/packages/geneplotter")
7671 (synopsis "Graphics functions for genomic data")
7672 (description
7673 "This package provides functions for plotting genomic data.")
7674 (license license:artistic2.0)))
7675
7676 (define-public r-oligoclasses
7677 (package
7678 (name "r-oligoclasses")
7679 (version "1.58.0")
7680 (source
7681 (origin
7682 (method url-fetch)
7683 (uri (bioconductor-uri "oligoClasses" version))
7684 (sha256
7685 (base32
7686 "1m4x50gl1fm5waa531v7ml0q229q65qn9cgiwnvjg721fvra7mdk"))))
7687 (properties `((upstream-name . "oligoClasses")))
7688 (build-system r-build-system)
7689 (propagated-inputs
7690 (list r-affyio
7691 r-biobase
7692 r-biocgenerics
7693 r-biocmanager
7694 r-biostrings
7695 r-dbi
7696 r-ff
7697 r-foreach
7698 r-genomicranges
7699 r-iranges
7700 r-rsqlite
7701 r-s4vectors
7702 r-summarizedexperiment))
7703 (home-page "https://bioconductor.org/packages/oligoClasses/")
7704 (synopsis "Classes for high-throughput arrays")
7705 (description
7706 "This package contains class definitions, validity checks, and
7707 initialization methods for classes used by the @code{oligo} and @code{crlmm}
7708 packages.")
7709 (license license:gpl2+)))
7710
7711 (define-public r-oligo
7712 (package
7713 (name "r-oligo")
7714 (version "1.60.0")
7715 (source
7716 (origin
7717 (method url-fetch)
7718 (uri (bioconductor-uri "oligo" version))
7719 (sha256
7720 (base32
7721 "0y7j96rafm9b85sxq2483i73685i3j67lk33fn8nfcav6lmsv5vy"))))
7722 (properties `((upstream-name . "oligo")))
7723 (build-system r-build-system)
7724 (inputs (list zlib))
7725 (propagated-inputs
7726 (list r-affxparser
7727 r-affyio
7728 r-biobase
7729 r-biocgenerics
7730 r-biostrings
7731 r-dbi
7732 r-ff
7733 r-oligoclasses
7734 r-preprocesscore
7735 r-rsqlite
7736 r-zlibbioc))
7737 (native-inputs
7738 (list r-knitr))
7739 (home-page "https://bioconductor.org/packages/oligo/")
7740 (synopsis "Preprocessing tools for oligonucleotide arrays")
7741 (description
7742 "This package provides a package to analyze oligonucleotide
7743 arrays (expression/SNP/tiling/exon) at probe-level. It currently supports
7744 Affymetrix (CEL files) and NimbleGen arrays (XYS files).")
7745 (license license:lgpl2.0+)))
7746
7747 (define-public r-qvalue
7748 (package
7749 (name "r-qvalue")
7750 (version "2.28.0")
7751 (source
7752 (origin
7753 (method url-fetch)
7754 (uri (bioconductor-uri "qvalue" version))
7755 (sha256
7756 (base32
7757 "0cvhm5cldcnnxwa293dig1pj9lvj2hnz9zh4gfr25sw0xlcjzmyw"))))
7758 (build-system r-build-system)
7759 (propagated-inputs
7760 (list r-ggplot2 r-reshape2))
7761 (native-inputs
7762 (list r-knitr))
7763 (home-page "https://github.com/StoreyLab/qvalue")
7764 (synopsis "Q-value estimation for false discovery rate control")
7765 (description
7766 "This package takes a list of p-values resulting from the simultaneous
7767 testing of many hypotheses and estimates their q-values and local @dfn{false
7768 discovery rate} (FDR) values. The q-value of a test measures the proportion
7769 of false positives incurred when that particular test is called significant.
7770 The local FDR measures the posterior probability the null hypothesis is true
7771 given the test's p-value. Various plots are automatically generated, allowing
7772 one to make sensible significance cut-offs. The software can be applied to
7773 problems in genomics, brain imaging, astrophysics, and data mining.")
7774 ;; Any version of the LGPL.
7775 (license license:lgpl3+)))
7776
7777 (define r-rcppnumerical
7778 (package
7779 (name "r-rcppnumerical")
7780 (version "0.4-0")
7781 (source (origin
7782 (method url-fetch)
7783 (uri (cran-uri "RcppNumerical" version))
7784 (sha256
7785 (base32
7786 "1a92fql6mijhnr1kxkcxwivf95pk9lhgmhzkshs51h0ybfv5krik"))))
7787 (properties `((upstream-name . "RcppNumerical")))
7788 (build-system r-build-system)
7789 (propagated-inputs
7790 `(("r-rcpp" ,r-rcpp)
7791 ("r-rcppeigen" ,r-rcppeigen)))
7792 (native-inputs
7793 `(("r-knitr" ,r-knitr)))
7794 (home-page "https://github.com/yixuan/RcppNumerical")
7795 (synopsis "Rcpp integration for numerical computing libraries")
7796 (description
7797 "This package provides a collection of libraries for numerical computing
7798 (numerical integration, optimization, etc.) and their integration with
7799 @code{Rcpp}.")
7800 (license license:gpl2+)))
7801
7802 (define-public r-apeglm
7803 (package
7804 (name "r-apeglm")
7805 (version "1.18.0")
7806 (source (origin
7807 (method url-fetch)
7808 (uri (bioconductor-uri "apeglm" version))
7809 (sha256
7810 (base32
7811 "1ppwk4g66x46hpqsfsvhl12398d1srqr47nmp0y2gz212kff0rby"))))
7812 (properties `((upstream-name . "apeglm")))
7813 (build-system r-build-system)
7814 (propagated-inputs
7815 (list r-emdbook
7816 r-genomicranges
7817 r-rcpp
7818 r-rcppeigen
7819 r-rcppnumerical
7820 r-summarizedexperiment))
7821 (native-inputs (list r-knitr))
7822 (home-page "https://bioconductor.org/packages/apeglm")
7823 (synopsis "Approximate posterior estimation for GLM coefficients")
7824 (description "This package provides Bayesian shrinkage estimators for
7825 effect sizes for a variety of GLM models, using approximation of the
7826 posterior for individual coefficients.")
7827 (license license:gpl2)))
7828
7829 (define-public r-greylistchip
7830 (package
7831 (name "r-greylistchip")
7832 (version "1.28.1")
7833 (source (origin
7834 (method url-fetch)
7835 (uri (bioconductor-uri "GreyListChIP" version))
7836 (sha256
7837 (base32
7838 "0w52vwvjarql19bsv40b80yn701qx8c9d0clsjhj85wmzj2p6dhg"))))
7839 (properties `((upstream-name . "GreyListChIP")))
7840 (build-system r-build-system)
7841 (propagated-inputs
7842 (list r-bsgenome
7843 r-genomeinfodb
7844 r-genomicalignments
7845 r-genomicranges
7846 r-mass
7847 r-rsamtools
7848 r-rtracklayer
7849 r-summarizedexperiment))
7850 (home-page "https://bioconductor.org/packages/GreyListChIP")
7851 (synopsis "Greylist artefact regions based on ChIP inputs")
7852 (description "This package identifies regions of ChIP experiments with high
7853 signal in the input, that lead to spurious peaks during peak calling.")
7854 (license license:artistic2.0)))
7855
7856 (define-public r-diffbind
7857 (package
7858 (name "r-diffbind")
7859 (version "3.6.4")
7860 (source
7861 (origin
7862 (method url-fetch)
7863 (uri (bioconductor-uri "DiffBind" version))
7864 (sha256
7865 (base32
7866 "035xczcir4q7yj6x9m3yq3dpvbfas9la925avni8147cwhybagqr"))))
7867 (properties `((upstream-name . "DiffBind")))
7868 (build-system r-build-system)
7869 (propagated-inputs
7870 (list r-amap
7871 r-apeglm
7872 r-ashr
7873 r-biocparallel
7874 r-deseq2
7875 r-dplyr
7876 r-genomicalignments
7877 r-genomicranges
7878 r-ggplot2
7879 r-ggrepel
7880 r-gplots
7881 r-greylistchip
7882 r-iranges
7883 r-lattice
7884 r-limma
7885 r-locfit
7886 r-rcolorbrewer
7887 r-rcpp
7888 r-rhtslib
7889 r-rsamtools
7890 r-s4vectors
7891 r-summarizedexperiment
7892 r-systempiper))
7893 (home-page "https://bioconductor.org/packages/DiffBind")
7894 (synopsis "Differential binding analysis of ChIP-Seq peak data")
7895 (description
7896 "This package computes differentially bound sites from multiple
7897 ChIP-seq experiments using affinity (quantitative) data. Also enables
7898 occupancy (overlap) analysis and plotting functions.")
7899 (license license:artistic2.0)))
7900
7901 (define-public r-ripseeker
7902 (package
7903 (name "r-ripseeker")
7904 (version "1.26.0")
7905 (source
7906 (origin
7907 (method url-fetch)
7908 (uri (bioconductor-uri "RIPSeeker" version))
7909 (sha256
7910 (base32
7911 "1wyv9mfrbxzklysfjcnwb8yils71janyyxa982jn0zxx4p9cl3vs"))))
7912 (properties `((upstream-name . "RIPSeeker")))
7913 (build-system r-build-system)
7914 (propagated-inputs
7915 (list r-s4vectors
7916 r-iranges
7917 r-genomicranges
7918 r-summarizedexperiment
7919 r-rsamtools
7920 r-genomicalignments
7921 r-rtracklayer))
7922 (home-page "https://bioconductor.org/packages/RIPSeeker")
7923 (synopsis
7924 "Identifying protein-associated transcripts from RIP-seq experiments")
7925 (description
7926 "This package infers and discriminates RIP peaks from RIP-seq alignments
7927 using two-state HMM with negative binomial emission probability. While
7928 RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides
7929 a suite of bioinformatics tools integrated within this self-contained software
7930 package comprehensively addressing issues ranging from post-alignments
7931 processing to visualization and annotation.")
7932 (license license:gpl2)))
7933
7934 (define-public r-mbkmeans
7935 (package
7936 (name "r-mbkmeans")
7937 (version "1.12.0")
7938 (source (origin
7939 (method url-fetch)
7940 (uri (bioconductor-uri "mbkmeans" version))
7941 (sha256
7942 (base32
7943 "1f5krzlyqljz763vkp1a50danjn78xhn35s8qqdvzrmwyx0fzphg"))))
7944 (build-system r-build-system)
7945 (native-inputs
7946 (list r-knitr))
7947 (propagated-inputs
7948 (list r-beachmat
7949 r-benchmarkme
7950 r-biocparallel
7951 r-clusterr
7952 r-delayedarray
7953 r-matrix
7954 r-rcpp
7955 r-rcpparmadillo
7956 r-rhdf5lib
7957 r-s4vectors
7958 r-singlecellexperiment
7959 r-summarizedexperiment))
7960 (home-page "https://bioconductor.org/packages/mbkmeans")
7961 (synopsis "Mini-batch k-means clustering for single-cell RNA-seq")
7962 (description "This package implements the mini-batch k-means algorithm for
7963 large datasets, including support for on-disk data representation.")
7964 (license license:expat)))
7965
7966 (define-public r-multtest
7967 (package
7968 (name "r-multtest")
7969 (version "2.52.0")
7970 (source
7971 (origin
7972 (method url-fetch)
7973 (uri (bioconductor-uri "multtest" version))
7974 (sha256
7975 (base32
7976 "037wcmwk1wvhjxgmlvnk289pkwishi1753ajkmy9x14xlmldix82"))))
7977 (build-system r-build-system)
7978 (propagated-inputs
7979 (list r-survival r-biocgenerics r-biobase r-mass))
7980 (home-page "https://bioconductor.org/packages/multtest")
7981 (synopsis "Resampling-based multiple hypothesis testing")
7982 (description
7983 "This package can do non-parametric bootstrap and permutation
7984 resampling-based multiple testing procedures (including empirical Bayes
7985 methods) for controlling the family-wise error rate (FWER), generalized
7986 family-wise error rate (gFWER), tail probability of the proportion of
7987 false positives (TPPFP), and false discovery rate (FDR). Several choices
7988 of bootstrap-based null distribution are implemented (centered, centered
7989 and scaled, quantile-transformed). Single-step and step-wise methods are
7990 available. Tests based on a variety of T- and F-statistics (including
7991 T-statistics based on regression parameters from linear and survival models
7992 as well as those based on correlation parameters) are included. When probing
7993 hypotheses with T-statistics, users may also select a potentially faster null
7994 distribution which is multivariate normal with mean zero and variance
7995 covariance matrix derived from the vector influence function. Results are
7996 reported in terms of adjusted P-values, confidence regions and test statistic
7997 cutoffs. The procedures are directly applicable to identifying differentially
7998 expressed genes in DNA microarray experiments.")
7999 (license license:lgpl3)))
8000
8001 (define-public r-graph
8002 (package
8003 (name "r-graph")
8004 (version "1.74.0")
8005 (source (origin
8006 (method url-fetch)
8007 (uri (bioconductor-uri "graph" version))
8008 (sha256
8009 (base32
8010 "1b8hrjwjg82kicls1496fxfzv75xjvq2k6r9apzsd3qlbyg3ilg4"))))
8011 (build-system r-build-system)
8012 (propagated-inputs
8013 (list r-biocgenerics))
8014 (home-page "https://bioconductor.org/packages/graph")
8015 (synopsis "Handle graph data structures in R")
8016 (description
8017 "This package implements some simple graph handling capabilities for R.")
8018 (license license:artistic2.0)))
8019
8020 ;; This is a CRAN package, but it depends on a Bioconductor package.
8021 (define-public r-ggm
8022 (package
8023 (name "r-ggm")
8024 (version "2.5")
8025 (source
8026 (origin
8027 (method url-fetch)
8028 (uri (cran-uri "ggm" version))
8029 (sha256
8030 (base32
8031 "11wc6k2kj2ydy0dyks5mbvbhxm1r43id87anl1jg6dn0yv4m78di"))))
8032 (properties `((upstream-name . "ggm")))
8033 (build-system r-build-system)
8034 (propagated-inputs
8035 (list r-graph r-igraph))
8036 (home-page "https://cran.r-project.org/package=ggm")
8037 (synopsis "Functions for graphical Markov models")
8038 (description
8039 "This package provides functions and datasets for maximum likelihood
8040 fitting of some classes of graphical Markov models.")
8041 (license license:gpl2+)))
8042
8043 ;; This is a CRAN package, but it depends on a Bioconductor package, r-graph.
8044 (define-public r-perfmeas
8045 (package
8046 (name "r-perfmeas")
8047 (version "1.2.5")
8048 (source
8049 (origin
8050 (method url-fetch)
8051 (uri (cran-uri "PerfMeas" version))
8052 (sha256
8053 (base32
8054 "13yjk0kwpbsqwl056hzf0zj2br1mk4faqcn1whdfxmq348c14hjb"))))
8055 (properties `((upstream-name . "PerfMeas")))
8056 (build-system r-build-system)
8057 (propagated-inputs
8058 (list r-graph r-limma r-rbgl))
8059 (home-page "https://cran.r-project.org/web/packages/PerfMeas/")
8060 (synopsis "Performance measures for ranking and classification tasks")
8061 (description
8062 "This package implements different performance measures for
8063 classification and ranking tasks. @dfn{Area under curve} (AUC), precision at
8064 a given recall, F-score for single and multiple classes are available.")
8065 (license license:gpl2+)))
8066
8067 ;; This is a CRAN package, but it depends on a Bioconductor package.
8068 (define-public r-codedepends
8069 (package
8070 (name "r-codedepends")
8071 (version "0.6.5")
8072 (source
8073 (origin
8074 (method url-fetch)
8075 (uri (cran-uri "CodeDepends" version))
8076 (sha256
8077 (base32
8078 "0l7kiv3awx50glf5cs841b4zzsff1ml90f0zr868ygvwsr4ps1hq"))))
8079 (properties `((upstream-name . "CodeDepends")))
8080 (build-system r-build-system)
8081 (propagated-inputs
8082 (list r-codetools r-graph r-xml))
8083 (home-page "https://cran.r-project.org/web/packages/CodeDepends")
8084 (synopsis "Analysis of R code for reproducible research and code comprehension")
8085 (description
8086 "This package provides tools for analyzing R expressions or blocks of
8087 code and determining the dependencies between them. It focuses on R scripts,
8088 but can be used on the bodies of functions. There are many facilities
8089 including the ability to summarize or get a high-level view of code,
8090 determining dependencies between variables, code improvement suggestions.")
8091 ;; Any version of the GPL
8092 (license (list license:gpl2+ license:gpl3+))))
8093
8094 (define-public r-chippeakanno
8095 (package
8096 (name "r-chippeakanno")
8097 (version "3.30.1")
8098 (source
8099 (origin
8100 (method url-fetch)
8101 (uri (bioconductor-uri "ChIPpeakAnno" version))
8102 (sha256
8103 (base32
8104 "0a26glldxczcfymjvd45gv5m4hympziivm6wwx4ab9wld7n43l8y"))))
8105 (properties `((upstream-name . "ChIPpeakAnno")))
8106 (build-system r-build-system)
8107 (propagated-inputs
8108 (list r-annotationdbi
8109 r-biocgenerics
8110 r-biomart
8111 r-biostrings
8112 r-dbi
8113 r-dplyr
8114 r-ensembldb
8115 r-genomeinfodb
8116 r-genomicalignments
8117 r-genomicfeatures
8118 r-genomicranges
8119 r-ggplot2
8120 r-graph
8121 r-interactionset
8122 r-iranges
8123 r-keggrest
8124 r-matrixstats
8125 r-multtest
8126 r-rbgl
8127 r-regioner
8128 r-rsamtools
8129 r-rtracklayer
8130 r-s4vectors
8131 r-summarizedexperiment
8132 r-venndiagram))
8133 (native-inputs
8134 (list r-knitr))
8135 (home-page "https://bioconductor.org/packages/ChIPpeakAnno")
8136 (synopsis "Peaks annotation from ChIP-seq and ChIP-chip experiments")
8137 (description
8138 "The package includes functions to retrieve the sequences around the peak,
8139 obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or
8140 custom features such as most conserved elements and other transcription factor
8141 binding sites supplied by users. Starting 2.0.5, new functions have been added
8142 for finding the peaks with bi-directional promoters with summary statistics
8143 (peaksNearBDP), for summarizing the occurrence of motifs in peaks
8144 (summarizePatternInPeaks) and for adding other IDs to annotated peaks or
8145 enrichedGO (addGeneIDs).")
8146 (license license:gpl2+)))
8147
8148 (define-public r-matrixgenerics
8149 (package
8150 (name "r-matrixgenerics")
8151 (version "1.8.1")
8152 (source (origin
8153 (method url-fetch)
8154 (uri (bioconductor-uri "MatrixGenerics" version))
8155 (sha256
8156 (base32
8157 "1liblnpziyyjxzrhdd5d89ilvfqqhbl87h3hsmdm0kwnmc73r37f"))))
8158 (properties
8159 `((upstream-name . "MatrixGenerics")))
8160 (build-system r-build-system)
8161 (propagated-inputs
8162 (list r-matrixstats))
8163 (home-page "https://bioconductor.org/packages/MatrixGenerics")
8164 (synopsis "S4 generic summary statistic functions for matrix-like objects")
8165 (description
8166 "This package provides S4 generic functions modeled after the
8167 @code{matrixStats} API for alternative matrix implementations. Packages with
8168 alternative matrix implementation can depend on this package and implement the
8169 generic functions that are defined here for a useful set of row and column
8170 summary statistics. Other package developers can import this package and
8171 handle a different matrix implementations without worrying about
8172 incompatibilities.")
8173 (license license:artistic2.0)))
8174
8175 (define-public r-marray
8176 (package
8177 (name "r-marray")
8178 (version "1.74.0")
8179 (source (origin
8180 (method url-fetch)
8181 (uri (bioconductor-uri "marray" version))
8182 (sha256
8183 (base32 "0awfz0akz3sylyw1jxhxgadv1rqdzvy9v11933yxkl9a8m9ngm8i"))))
8184 (build-system r-build-system)
8185 (propagated-inputs
8186 (list r-limma))
8187 (home-page "https://bioconductor.org/packages/marray")
8188 (synopsis "Exploratory analysis for two-color spotted microarray data")
8189 (description "This package contains class definitions for two-color spotted
8190 microarray data. It also includes functions for data input, diagnostic plots,
8191 normalization and quality checking.")
8192 (license license:lgpl2.0+)))
8193
8194 (define-public r-cghbase
8195 (package
8196 (name "r-cghbase")
8197 (version "1.56.0")
8198 (source (origin
8199 (method url-fetch)
8200 (uri (bioconductor-uri "CGHbase" version))
8201 (sha256
8202 (base32 "1q8yy60r4g5nyv2gbfdgk192xd73c0rrjr668d5616ddb7sx8wcr"))))
8203 (properties `((upstream-name . "CGHbase")))
8204 (build-system r-build-system)
8205 (propagated-inputs
8206 (list r-biobase r-marray))
8207 (home-page "https://bioconductor.org/packages/CGHbase")
8208 (synopsis "Base functions and classes for arrayCGH data analysis")
8209 (description "This package contains functions and classes that are needed by
8210 the @code{arrayCGH} packages.")
8211 (license license:gpl2+)))
8212
8213 (define-public r-cghcall
8214 (package
8215 (name "r-cghcall")
8216 (version "2.58.0")
8217 (source (origin
8218 (method url-fetch)
8219 (uri (bioconductor-uri "CGHcall" version))
8220 (sha256
8221 (base32 "1qpsibp4gb09sn6fkwwrdjkh3a28lqfbk18c6fvn4m386j96ps65"))))
8222 (properties `((upstream-name . "CGHcall")))
8223 (build-system r-build-system)
8224 (propagated-inputs
8225 (list r-biobase r-cghbase r-impute r-dnacopy r-snowfall))
8226 (home-page "https://bioconductor.org/packages/CGHcall")
8227 (synopsis "Base functions and classes for arrayCGH data analysis")
8228 (description "This package contains functions and classes that are needed by
8229 @code{arrayCGH} packages.")
8230 (license license:gpl2+)))
8231
8232 (define-public r-qdnaseq
8233 (package
8234 (name "r-qdnaseq")
8235 (version "1.32.0")
8236 (source (origin
8237 (method url-fetch)
8238 (uri (bioconductor-uri "QDNAseq" version))
8239 (sha256
8240 (base32 "0s360s72lfn9vjml88gg1m40n61s0dc66ilzgfjdcp65djdxxfvm"))))
8241 (properties `((upstream-name . "QDNAseq")))
8242 (build-system r-build-system)
8243 (propagated-inputs
8244 (list r-biobase
8245 r-cghbase
8246 r-cghcall
8247 r-dnacopy
8248 r-future-apply
8249 r-genomicranges
8250 r-iranges
8251 r-matrixstats
8252 r-r-utils
8253 r-rsamtools))
8254 (home-page "https://bioconductor.org/packages/QDNAseq")
8255 (synopsis "Quantitative DNA sequencing for chromosomal aberrations")
8256 (description "The genome is divided into non-overlapping fixed-sized bins,
8257 number of sequence reads in each counted, adjusted with a simultaneous
8258 two-dimensional loess correction for sequence mappability and GC content, and
8259 filtered to remove spurious regions in the genome. Downstream steps of
8260 segmentation and calling are also implemented via packages DNAcopy and CGHcall,
8261 respectively.")
8262 (license license:gpl2+)))
8263
8264 (define-public r-bayseq
8265 (package
8266 (name "r-bayseq")
8267 (version "2.30.0")
8268 (source
8269 (origin
8270 (method url-fetch)
8271 (uri (bioconductor-uri "baySeq" version))
8272 (sha256
8273 (base32
8274 "1yqykndyv32s2rk7x86qf410qr0pigc8z4gdkl8vhj4dgyr47n2j"))))
8275 (properties `((upstream-name . "baySeq")))
8276 (build-system r-build-system)
8277 (propagated-inputs
8278 (list r-abind r-edger r-genomicranges))
8279 (home-page "https://bioconductor.org/packages/baySeq/")
8280 (synopsis "Bayesian analysis of differential expression patterns in count data")
8281 (description
8282 "This package identifies differential expression in high-throughput count
8283 data, such as that derived from next-generation sequencing machines,
8284 calculating estimated posterior likelihoods of differential expression (or
8285 more complex hypotheses) via empirical Bayesian methods.")
8286 (license license:gpl3)))
8287
8288 (define-public r-chipcomp
8289 (package
8290 (name "r-chipcomp")
8291 (version "1.26.0")
8292 (source
8293 (origin
8294 (method url-fetch)
8295 (uri (bioconductor-uri "ChIPComp" version))
8296 (sha256
8297 (base32
8298 "06q34y59gf1iz0rs7y5x8ndy1wa95j65rfmz37aym5c46ijqsnq0"))))
8299 (properties `((upstream-name . "ChIPComp")))
8300 (build-system r-build-system)
8301 (propagated-inputs
8302 (list r-biocgenerics
8303 r-bsgenome-hsapiens-ucsc-hg19
8304 r-bsgenome-mmusculus-ucsc-mm9
8305 r-genomeinfodb
8306 r-genomicranges
8307 r-iranges
8308 r-limma
8309 r-rsamtools
8310 r-rtracklayer
8311 r-s4vectors))
8312 (home-page "https://bioconductor.org/packages/ChIPComp")
8313 (synopsis "Quantitative comparison of multiple ChIP-seq datasets")
8314 (description
8315 "ChIPComp implements a statistical method for quantitative comparison of
8316 multiple ChIP-seq datasets. It detects differentially bound sharp binding
8317 sites across multiple conditions considering matching control in ChIP-seq
8318 datasets.")
8319 ;; Any version of the GPL.
8320 (license license:gpl3+)))
8321
8322 (define-public r-riboprofiling
8323 (package
8324 (name "r-riboprofiling")
8325 (version "1.26.0")
8326 (source
8327 (origin
8328 (method url-fetch)
8329 (uri (bioconductor-uri "RiboProfiling" version))
8330 (sha256
8331 (base32
8332 "08m4rc530bkzcc43iwzg2fw9cjlf4wc2d8akv5vblsb42xdn8sqp"))))
8333 (properties `((upstream-name . "RiboProfiling")))
8334 (build-system r-build-system)
8335 (propagated-inputs
8336 (list r-biocgenerics
8337 r-biostrings
8338 r-data-table
8339 r-genomeinfodb
8340 r-genomicalignments
8341 r-genomicfeatures
8342 r-genomicranges
8343 r-ggbio
8344 r-ggplot2
8345 r-iranges
8346 r-plyr
8347 r-reshape2
8348 r-rsamtools
8349 r-rtracklayer
8350 r-s4vectors
8351 r-sqldf))
8352 (native-inputs
8353 (list r-knitr))
8354 (home-page "https://bioconductor.org/packages/RiboProfiling/")
8355 (synopsis "Ribosome profiling data analysis")
8356 (description "Starting with a BAM file, this package provides the
8357 necessary functions for quality assessment, read start position recalibration,
8358 the counting of genomic sequence reads on CDS, 3'UTR, and 5'UTR, and plotting
8359 of count data: pairs, log fold-change, codon frequency and coverage
8360 assessment, principal component analysis on codon coverage.")
8361 (license license:gpl3)))
8362
8363 (define-public r-riboseqr
8364 (package
8365 (name "r-riboseqr")
8366 (version "1.30.0")
8367 (source
8368 (origin
8369 (method url-fetch)
8370 (uri (bioconductor-uri "riboSeqR" version))
8371 (sha256
8372 (base32
8373 "1zs3y0icsqrndjp9wwqz3jxysvyc9pch45y49j6g9b5b2l44ma26"))))
8374 (properties `((upstream-name . "riboSeqR")))
8375 (build-system r-build-system)
8376 (propagated-inputs
8377 (list r-abind
8378 r-bayseq
8379 r-genomeinfodb
8380 r-genomicranges
8381 r-iranges
8382 r-rsamtools
8383 r-seqlogo))
8384 (home-page "https://bioconductor.org/packages/riboSeqR/")
8385 (synopsis "Analysis of sequencing data from ribosome profiling experiments")
8386 (description
8387 "This package provides plotting functions, frameshift detection and
8388 parsing of genetic sequencing data from ribosome profiling experiments.")
8389 (license license:gpl3)))
8390
8391 (define-public r-interactionset
8392 (package
8393 (name "r-interactionset")
8394 (version "1.24.0")
8395 (source
8396 (origin
8397 (method url-fetch)
8398 (uri (bioconductor-uri "InteractionSet" version))
8399 (sha256
8400 (base32
8401 "0qjimx25jvm8siq8hmlbf2z6mknzpbq945p06fsj826k57bpcsm5"))))
8402 (properties
8403 `((upstream-name . "InteractionSet")))
8404 (build-system r-build-system)
8405 (propagated-inputs
8406 (list r-biocgenerics
8407 r-genomeinfodb
8408 r-genomicranges
8409 r-iranges
8410 r-matrix
8411 r-rcpp
8412 r-s4vectors
8413 r-summarizedexperiment))
8414 (native-inputs
8415 (list r-knitr))
8416 (home-page "https://bioconductor.org/packages/InteractionSet")
8417 (synopsis "Base classes for storing genomic interaction data")
8418 (description
8419 "This package provides the @code{GInteractions},
8420 @code{InteractionSet} and @code{ContactMatrix} objects and associated methods
8421 for storing and manipulating genomic interaction data from Hi-C and ChIA-PET
8422 experiments.")
8423 (license license:gpl3)))
8424
8425 (define-public r-genomicinteractions
8426 (package
8427 (name "r-genomicinteractions")
8428 (version "1.30.0")
8429 (source
8430 (origin
8431 (method url-fetch)
8432 (uri (bioconductor-uri "GenomicInteractions" version))
8433 (sha256
8434 (base32
8435 "0aph1hja5vfprxs3jl4zd1inhvih6m3v1p3jkm6w7xpj3jzvmgbx"))))
8436 (properties
8437 `((upstream-name . "GenomicInteractions")))
8438 (build-system r-build-system)
8439 (propagated-inputs
8440 (list r-biobase
8441 r-biocgenerics
8442 r-data-table
8443 r-dplyr
8444 r-genomeinfodb
8445 r-genomicranges
8446 r-ggplot2
8447 r-gridextra
8448 r-gviz
8449 r-igraph
8450 r-interactionset
8451 r-iranges
8452 r-rsamtools
8453 r-rtracklayer
8454 r-s4vectors
8455 r-stringr))
8456 (native-inputs
8457 (list r-knitr))
8458 (home-page "https://github.com/ComputationalRegulatoryGenomicsICL/GenomicInteractions/")
8459 (synopsis "R package for handling genomic interaction data")
8460 (description
8461 "This R package provides tools for handling genomic interaction data,
8462 such as ChIA-PET/Hi-C, annotating genomic features with interaction
8463 information and producing various plots and statistics.")
8464 (license license:gpl3)))
8465
8466 (define-public r-ctc
8467 (package
8468 (name "r-ctc")
8469 (version "1.70.0")
8470 (source
8471 (origin
8472 (method url-fetch)
8473 (uri (bioconductor-uri "ctc" version))
8474 (sha256
8475 (base32
8476 "0c9pgp25dqx12fmi4cqm7xyxjmy6g7wv9vbljgdjghaij2lrc4pb"))))
8477 (build-system r-build-system)
8478 (propagated-inputs (list r-amap))
8479 (home-page "https://bioconductor.org/packages/ctc/")
8480 (synopsis "Cluster and tree conversion")
8481 (description
8482 "This package provides tools for exporting and importing classification
8483 trees and clusters to other programs.")
8484 (license license:gpl2)))
8485
8486 (define-public r-goseq
8487 (package
8488 (name "r-goseq")
8489 (version "1.48.0")
8490 (source
8491 (origin
8492 (method url-fetch)
8493 (uri (bioconductor-uri "goseq" version))
8494 (sha256
8495 (base32
8496 "1w0rwzhqkvp2x7y5v0qcyjbss0p95gb1jrnx5sdkqginbvrmrd48"))))
8497 (build-system r-build-system)
8498 (propagated-inputs
8499 (list r-annotationdbi
8500 r-biasedurn
8501 r-biocgenerics
8502 r-genelendatabase
8503 r-go-db
8504 r-mgcv))
8505 (home-page "https://bioconductor.org/packages/goseq/")
8506 (synopsis "Gene Ontology analyser for RNA-seq and other length biased data")
8507 (description
8508 "This package provides tools to detect Gene Ontology and/or other user
8509 defined categories which are over/under represented in RNA-seq data.")
8510 (license license:lgpl2.0+)))
8511
8512 (define-public r-glimma
8513 (package
8514 (name "r-glimma")
8515 (version "2.6.0")
8516 (source
8517 (origin
8518 (method url-fetch)
8519 (uri (bioconductor-uri "Glimma" version))
8520 (sha256
8521 (base32
8522 "1k17ay09vhb2hakg1vrgvpp1zliavlj7cdkxaal162bc3v8pyvyz"))))
8523 (properties `((upstream-name . "Glimma")))
8524 (build-system r-build-system)
8525 (propagated-inputs
8526 (list r-deseq2
8527 r-edger
8528 r-htmlwidgets
8529 r-jsonlite
8530 r-limma
8531 r-s4vectors
8532 r-summarizedexperiment))
8533 (native-inputs
8534 (list r-knitr))
8535 (home-page "https://github.com/Shians/Glimma")
8536 (synopsis "Interactive HTML graphics")
8537 (description
8538 "This package generates interactive visualisations for analysis of
8539 RNA-sequencing data using output from limma, edgeR or DESeq2 packages in an
8540 HTML page. The interactions are built on top of the popular static
8541 representations of analysis results in order to provide additional
8542 information.")
8543 (license license:lgpl3)))
8544
8545 (define-public r-rots
8546 (package
8547 (name "r-rots")
8548 (version "1.24.0")
8549 (source
8550 (origin
8551 (method url-fetch)
8552 (uri (bioconductor-uri "ROTS" version))
8553 (sha256
8554 (base32
8555 "021a578p8kcl5yd9myiy0h2qp10r30ggnip2kp6xs7dx8nzic96r"))))
8556 (properties `((upstream-name . "ROTS")))
8557 (build-system r-build-system)
8558 (propagated-inputs
8559 (list r-biobase r-rcpp))
8560 (home-page "https://bioconductor.org/packages/ROTS/")
8561 (synopsis "Reproducibility-Optimized Test Statistic")
8562 (description
8563 "This package provides tools for calculating the
8564 @dfn{Reproducibility-Optimized Test Statistic} (ROTS) for differential testing
8565 in omics data.")
8566 (license license:gpl2+)))
8567
8568 (define-public r-plgem
8569 (package
8570 (name "r-plgem")
8571 (version "1.68.0")
8572 (source
8573 (origin
8574 (method url-fetch)
8575 (uri (bioconductor-uri "plgem" version))
8576 (sha256
8577 (base32
8578 "07zxflxcay17hxjw3wh5kfdwl2x8537csb18p1qzmyrkvscnja77"))))
8579 (build-system r-build-system)
8580 (propagated-inputs
8581 (list r-biobase r-mass))
8582 (home-page "http://www.genopolis.it")
8583 (synopsis "Detect differential expression in microarray and proteomics datasets")
8584 (description
8585 "The Power Law Global Error Model (PLGEM) has been shown to faithfully
8586 model the variance-versus-mean dependence that exists in a variety of
8587 genome-wide datasets, including microarray and proteomics data. The use of
8588 PLGEM has been shown to improve the detection of differentially expressed
8589 genes or proteins in these datasets.")
8590 (license license:gpl2)))
8591
8592 (define-public r-inspect
8593 (package
8594 (name "r-inspect")
8595 (version "1.26.0")
8596 (source
8597 (origin
8598 (method url-fetch)
8599 (uri (bioconductor-uri "INSPEcT" version))
8600 (sha256
8601 (base32
8602 "0jx887vhxwd8zlqajr9czvn9nx88ryyxlnl58hxrlajjpcjkz9ax"))))
8603 (properties `((upstream-name . "INSPEcT")))
8604 (build-system r-build-system)
8605 (propagated-inputs
8606 (list r-biobase
8607 r-biocgenerics
8608 r-biocparallel
8609 r-deseq2
8610 r-desolve
8611 r-gdata
8612 r-genomeinfodb
8613 r-genomicalignments
8614 r-genomicfeatures
8615 r-genomicranges
8616 r-iranges
8617 r-kernsmooth
8618 r-plgem
8619 r-proc
8620 r-rootsolve
8621 r-rsamtools
8622 r-rtracklayer
8623 r-s4vectors
8624 r-shiny
8625 r-summarizedexperiment
8626 r-txdb-mmusculus-ucsc-mm9-knowngene))
8627 (native-inputs
8628 (list r-knitr))
8629 (home-page "https://bioconductor.org/packages/INSPEcT")
8630 (synopsis "Analysis of 4sU-seq and RNA-seq time-course data")
8631 (description
8632 "INSPEcT (INference of Synthesis, Processing and dEgradation rates in
8633 Time-Course experiments) analyses 4sU-seq and RNA-seq time-course data in
8634 order to evaluate synthesis, processing and degradation rates and assess via
8635 modeling the rates that determines changes in mature mRNA levels.")
8636 (license license:gpl2)))
8637
8638 (define-public r-dnabarcodes
8639 (package
8640 (name "r-dnabarcodes")
8641 (version "1.26.0")
8642 (source
8643 (origin
8644 (method url-fetch)
8645 (uri (bioconductor-uri "DNABarcodes" version))
8646 (sha256
8647 (base32
8648 "0n2qlvpcjhrxr3br27gz9vhwcpf7sn6g4xdjazvvi3gqcgk90xc6"))))
8649 (properties `((upstream-name . "DNABarcodes")))
8650 (build-system r-build-system)
8651 (propagated-inputs
8652 (list r-bh r-matrix r-rcpp))
8653 (native-inputs
8654 (list r-knitr))
8655 (home-page "https://bioconductor.org/packages/DNABarcodes")
8656 (synopsis "Create and analyze DNA barcodes")
8657 (description
8658 "This package offers tools to create DNA barcode sets capable of
8659 correcting insertion, deletion, and substitution errors. Existing barcodes
8660 can be analyzed regarding their minimal, maximal and average distances between
8661 barcodes. Finally, reads that start with a (possibly mutated) barcode can be
8662 demultiplexed, i.e. assigned to their original reference barcode.")
8663 (license license:gpl2)))
8664
8665 (define-public r-ruvseq
8666 (package
8667 (name "r-ruvseq")
8668 (version "1.30.0")
8669 (source
8670 (origin
8671 (method url-fetch)
8672 (uri (bioconductor-uri "RUVSeq" version))
8673 (sha256
8674 (base32
8675 "001h07b074hvj16bjdp9llb9psphw7r6kpwhq61bj4519y6lpg7x"))))
8676 (properties `((upstream-name . "RUVSeq")))
8677 (build-system r-build-system)
8678 (propagated-inputs
8679 (list r-biobase r-edaseq r-edger r-mass))
8680 (native-inputs
8681 (list r-knitr))
8682 (home-page "https://github.com/drisso/RUVSeq")
8683 (synopsis "Remove unwanted variation from RNA-Seq data")
8684 (description
8685 "This package implements methods to @dfn{remove unwanted variation} (RUV)
8686 of Risso et al. (2014) for the normalization of RNA-Seq read counts between
8687 samples.")
8688 (license license:artistic2.0)))
8689
8690 (define-public r-biocneighbors
8691 (package
8692 (name "r-biocneighbors")
8693 (version "1.14.0")
8694 (source
8695 (origin
8696 (method url-fetch)
8697 (uri (bioconductor-uri "BiocNeighbors" version))
8698 (sha256
8699 (base32
8700 "1a43hzmcpxviqa9723hkafr6gm358amfpqj9d56imclkkfkdz95x"))))
8701 (properties `((upstream-name . "BiocNeighbors")))
8702 (build-system r-build-system)
8703 (propagated-inputs
8704 (list r-biocparallel r-matrix r-rcpp r-rcpphnsw r-s4vectors))
8705 (native-inputs
8706 (list r-knitr))
8707 (home-page "https://bioconductor.org/packages/BiocNeighbors")
8708 (synopsis "Nearest Neighbor Detection for Bioconductor packages")
8709 (description
8710 "This package implements exact and approximate methods for nearest
8711 neighbor detection, in a framework that allows them to be easily switched
8712 within Bioconductor packages or workflows. The exact algorithm is implemented
8713 using pre-clustering with the k-means algorithm. Functions are also provided
8714 to search for all neighbors within a given distance. Parallelization is
8715 achieved for all methods using the BiocParallel framework.")
8716 (license license:gpl3)))
8717
8718 (define-public r-scaledmatrix
8719 (package
8720 (name "r-scaledmatrix")
8721 (version "1.4.1")
8722 (source
8723 (origin
8724 (method url-fetch)
8725 (uri (bioconductor-uri "ScaledMatrix" version))
8726 (sha256
8727 (base32
8728 "05gxr41nb1jqhv357rfha4062kszvrmkr36mhkjsf7kgnzf0p8hz"))))
8729 (properties `((upstream-name . "ScaledMatrix")))
8730 (build-system r-build-system)
8731 (propagated-inputs
8732 (list r-delayedarray r-matrix r-s4vectors))
8733 (native-inputs (list r-knitr))
8734 (home-page "https://github.com/LTLA/ScaledMatrix")
8735 (synopsis "Create a DelayedMatrix of scaled and centered values")
8736 (description
8737 "This package provides delayed computation of a matrix of scaled and
8738 centered values. The result is equivalent to using the @code{scale} function
8739 but avoids explicit realization of a dense matrix during block processing.
8740 This permits greater efficiency in common operations, most notably matrix
8741 multiplication.")
8742 (license license:gpl3)))
8743
8744 (define-public r-treeio
8745 (package
8746 (name "r-treeio")
8747 (version "1.20.2")
8748 (source
8749 (origin
8750 (method url-fetch)
8751 (uri (bioconductor-uri "treeio" version))
8752 (sha256
8753 (base32
8754 "1jymbyl82n88ckw0nkbj72rvlxbk5m7xmcmq3fyi885z7aasc0x1"))))
8755 (properties `((upstream-name . "treeio")))
8756 (build-system r-build-system)
8757 (propagated-inputs
8758 (list r-ape
8759 r-dplyr
8760 r-jsonlite
8761 r-magrittr
8762 r-rlang
8763 r-tibble
8764 r-tidytree))
8765 (native-inputs (list r-knitr))
8766 (home-page "https://github.com/YuLab-SMU/treeio")
8767 (synopsis "Base classes and functions for Phylogenetic tree input and output")
8768 (description
8769 "This is an R package to make it easier to import and store phylogenetic
8770 trees with associated data; and to link external data from different sources
8771 to phylogeny. It also supports exporting phylogenetic trees with
8772 heterogeneous associated data to a single tree file and can be served as a
8773 platform for merging tree with associated data and converting file formats.")
8774 (license license:artistic2.0)))
8775
8776 (define-public r-ggtree
8777 (package
8778 (name "r-ggtree")
8779 (version "3.4.4")
8780 (source
8781 (origin
8782 (method url-fetch)
8783 (uri (bioconductor-uri "ggtree" version))
8784 (sha256
8785 (base32
8786 "0h1qlhn4rj7jgd9vrja7lykaglyfvnzwkghvsqj1mvp4niwli7y5"))))
8787 (properties `((upstream-name . "ggtree")))
8788 (build-system r-build-system)
8789 (propagated-inputs
8790 (list r-ape
8791 r-aplot
8792 r-dplyr
8793 r-ggfun
8794 r-ggplot2
8795 r-magrittr
8796 r-purrr
8797 r-rlang
8798 r-scales
8799 r-tidyr
8800 r-tidytree
8801 r-treeio
8802 r-yulab-utils))
8803 (native-inputs (list r-knitr))
8804 (home-page "https://yulab-smu.top/treedata-book/")
8805 (synopsis "R package for visualization of trees and annotation data")
8806 (description
8807 "This package extends the ggplot2 plotting system which implements a
8808 grammar of graphics. ggtree is designed for visualization and annotation of
8809 phylogenetic trees and other tree-like structures with their annotation
8810 data.")
8811 (license license:artistic2.0)))
8812
8813 (define-public r-metapod
8814 (package
8815 (name "r-metapod")
8816 (version "1.4.0")
8817 (source
8818 (origin
8819 (method url-fetch)
8820 (uri (bioconductor-uri "metapod" version))
8821 (sha256
8822 (base32
8823 "19g9c08alg4qqr710si465wlb5dy759m5d8wn91zwj24077dds7b"))))
8824 (properties `((upstream-name . "metapod")))
8825 (build-system r-build-system)
8826 (propagated-inputs
8827 (list r-rcpp))
8828 (native-inputs
8829 (list r-knitr))
8830 (home-page "https://bioconductor.org/packages/metapod")
8831 (synopsis "Meta-analyses on p-values of differential analyses")
8832 (description
8833 "This package implements a variety of methods for combining p-values in
8834 differential analyses of genome-scale datasets. Functions can combine
8835 p-values across different tests in the same analysis (e.g., genomic windows in
8836 ChIP-seq, exons in RNA-seq) or for corresponding tests across separate
8837 analyses (e.g., replicated comparisons, effect of different treatment
8838 conditions). Support is provided for handling log-transformed input p-values,
8839 missing values and weighting where appropriate.")
8840 (license license:gpl3)))
8841
8842 (define-public r-biocsingular
8843 (package
8844 (name "r-biocsingular")
8845 (version "1.12.0")
8846 (source
8847 (origin
8848 (method url-fetch)
8849 (uri (bioconductor-uri "BiocSingular" version))
8850 (sha256
8851 (base32
8852 "1sraycnn0jahpi8kni1y8ik00ga89fvwqjmbr8388968q22mvm3x"))))
8853 (properties `((upstream-name . "BiocSingular")))
8854 (build-system r-build-system)
8855 (propagated-inputs
8856 (list r-beachmat
8857 r-biocgenerics
8858 r-biocparallel
8859 r-delayedarray
8860 r-irlba
8861 r-matrix
8862 r-rcpp
8863 r-rsvd
8864 r-s4vectors
8865 r-scaledmatrix))
8866 (native-inputs
8867 (list r-knitr))
8868 (home-page "https://github.com/LTLA/BiocSingular")
8869 (synopsis "Singular value decomposition for Bioconductor packages")
8870 (description
8871 "This package implements exact and approximate methods for singular value
8872 decomposition and principal components analysis, in a framework that allows
8873 them to be easily switched within Bioconductor packages or workflows. Where
8874 possible, parallelization is achieved using the BiocParallel framework.")
8875 (license license:gpl3)))
8876
8877 (define-public r-destiny
8878 (package
8879 (name "r-destiny")
8880 (version "3.10.0")
8881 (source
8882 (origin
8883 (method url-fetch)
8884 (uri (bioconductor-uri "destiny" version))
8885 (sha256
8886 (base32
8887 "1c85ky5ggdsi0ab1l4ipl85gc1kj1zv3wp08qrvslax3z0yw0ljy"))))
8888 (build-system r-build-system)
8889 (propagated-inputs
8890 (list r-biobase
8891 r-biocgenerics
8892 r-ggplot-multistats
8893 r-ggplot2
8894 r-ggthemes
8895 r-irlba
8896 r-knn-covertree
8897 r-matrix
8898 r-pcamethods
8899 r-proxy
8900 r-rcpp
8901 r-rcppeigen
8902 r-rcpphnsw
8903 r-rspectra
8904 r-scales
8905 r-scatterplot3d
8906 r-singlecellexperiment
8907 r-smoother
8908 r-summarizedexperiment
8909 r-tidyr
8910 r-tidyselect
8911 r-vim))
8912 (native-inputs
8913 (list r-knitr r-nbconvertr)) ; for vignettes
8914 (home-page "https://bioconductor.org/packages/destiny/")
8915 (synopsis "Create and plot diffusion maps")
8916 (description "This package provides tools to create and plot diffusion
8917 maps.")
8918 ;; Any version of the GPL
8919 (license license:gpl3+)))
8920
8921 (define-public r-savr
8922 (package
8923 (name "r-savr")
8924 (version "1.34.0")
8925 (source
8926 (origin
8927 (method url-fetch)
8928 (uri (bioconductor-uri "savR" version))
8929 (sha256
8930 (base32
8931 "04zlf3lyr6vnpj80m6fd2is2f7302sxwih8nzzjnc4ss972jid2k"))))
8932 (properties `((upstream-name . "savR")))
8933 (build-system r-build-system)
8934 (propagated-inputs
8935 (list r-ggplot2 r-gridextra r-reshape2 r-scales r-xml))
8936 (home-page "https://github.com/bcalder/savR")
8937 (synopsis "Parse and analyze Illumina SAV files")
8938 (description
8939 "This package provides tools to parse Illumina Sequence Analysis
8940 Viewer (SAV) files, access data, and generate QC plots.")
8941 (license license:agpl3+)))
8942
8943 (define-public r-chipexoqual
8944 (package
8945 (name "r-chipexoqual")
8946 (version "1.20.0")
8947 (source
8948 (origin
8949 (method url-fetch)
8950 (uri (bioconductor-uri "ChIPexoQual" version))
8951 (sha256
8952 (base32
8953 "1r4s8awvwwj1g33jpnzfxji23mfy0chkhi14i0ml5sh090xijpaz"))))
8954 (properties `((upstream-name . "ChIPexoQual")))
8955 (build-system r-build-system)
8956 (propagated-inputs
8957 (list r-biocparallel
8958 r-biovizbase
8959 r-broom
8960 r-data-table
8961 r-dplyr
8962 r-genomeinfodb
8963 r-genomicalignments
8964 r-genomicranges
8965 r-ggplot2
8966 r-hexbin
8967 r-iranges
8968 r-rcolorbrewer
8969 r-rmarkdown
8970 r-rsamtools
8971 r-s4vectors
8972 r-scales
8973 r-viridis))
8974 (native-inputs
8975 (list r-knitr))
8976 (home-page "https://github.com/keleslab/ChIPexoQual")
8977 (synopsis "Quality control pipeline for ChIP-exo/nexus data")
8978 (description
8979 "This package provides a quality control pipeline for ChIP-exo/nexus
8980 sequencing data.")
8981 (license license:gpl2+)))
8982
8983 (define-public r-copynumber
8984 (package
8985 (name "r-copynumber")
8986 (version "1.36.0")
8987 (source (origin
8988 (method url-fetch)
8989 (uri (bioconductor-uri "copynumber" version))
8990 (sha256
8991 (base32
8992 "1gr8q9ri49x8qlmbsi6k6wcak1w9v48wr1qy7axc86brzx6z6mhd"))))
8993 (build-system r-build-system)
8994 (propagated-inputs
8995 (list r-s4vectors r-iranges r-genomicranges r-biocgenerics))
8996 (home-page "https://bioconductor.org/packages/copynumber")
8997 (synopsis "Segmentation of single- and multi-track copy number data")
8998 (description
8999 "This package segments single- and multi-track copy number data by a
9000 penalized least squares regression method.")
9001 (license license:artistic2.0)))
9002
9003 (define-public r-dnacopy
9004 (package
9005 (name "r-dnacopy")
9006 (version "1.70.0")
9007 (source
9008 (origin
9009 (method url-fetch)
9010 (uri (bioconductor-uri "DNAcopy" version))
9011 (sha256
9012 (base32
9013 "10bh4p8nbl84rfngsm3bi9w542m159kff95f8c2hvjcxv5yw7iwc"))))
9014 (properties `((upstream-name . "DNAcopy")))
9015 (build-system r-build-system)
9016 (native-inputs (list gfortran))
9017 (home-page "https://bioconductor.org/packages/DNAcopy")
9018 (synopsis "DNA copy number data analysis")
9019 (description
9020 "This package implements the @dfn{circular binary segmentation} (CBS)
9021 algorithm to segment DNA copy number data and identify genomic regions with
9022 abnormal copy number.")
9023 (license license:gpl2+)))
9024
9025 ;; This is a CRAN package, but it uncharacteristically depends on a
9026 ;; Bioconductor package.
9027 (define-public r-htscluster
9028 (package
9029 (name "r-htscluster")
9030 (version "2.0.10")
9031 (source
9032 (origin
9033 (method url-fetch)
9034 (uri (cran-uri "HTSCluster" version))
9035 (sha256
9036 (base32
9037 "0scn4fsfmlkzxibfhsh6krm2cl9c8hsmyjgn48k9dyjf0ylyxg9n"))))
9038 (properties `((upstream-name . "HTSCluster")))
9039 (build-system r-build-system)
9040 (propagated-inputs
9041 (list r-capushe r-edger r-plotrix))
9042 (home-page "https://cran.r-project.org/web/packages/HTSCluster")
9043 (synopsis "Clustering high-throughput transcriptome sequencing (HTS) data")
9044 (description
9045 "This package provides a Poisson mixture model is implemented to cluster
9046 genes from high-throughput transcriptome sequencing (RNA-seq) data. Parameter
9047 estimation is performed using either the EM or CEM algorithm, and the slope
9048 heuristics are used for model selection (i.e., to choose the number of
9049 clusters).")
9050 (license license:gpl3+)))
9051
9052 (define-public r-deds
9053 (package
9054 (name "r-deds")
9055 (version "1.60.0")
9056 (source
9057 (origin
9058 (method url-fetch)
9059 (uri (bioconductor-uri "DEDS" version))
9060 (sha256
9061 (base32
9062 "0vzsmah2lhxf8k6n4d0i4j609sbvygmb6ii2ridg9z3nskwkrhp8"))))
9063 (properties `((upstream-name . "DEDS")))
9064 (build-system r-build-system)
9065 (home-page "https://bioconductor.org/packages/DEDS/")
9066 (synopsis "Differential expression via distance summary for microarray data")
9067 (description
9068 "This library contains functions that calculate various statistics of
9069 differential expression for microarray data, including t statistics, fold
9070 change, F statistics, SAM, moderated t and F statistics and B statistics. It
9071 also implements a new methodology called DEDS (Differential Expression via
9072 Distance Summary), which selects differentially expressed genes by integrating
9073 and summarizing a set of statistics using a weighted distance approach.")
9074 ;; Any version of the LGPL.
9075 (license license:lgpl3+)))
9076
9077 ;; This is a CRAN package, but since it depends on a Bioconductor package we
9078 ;; put it here.
9079 (define-public r-nbpseq
9080 (package
9081 (name "r-nbpseq")
9082 (version "0.3.1")
9083 (source
9084 (origin
9085 (method url-fetch)
9086 (uri (cran-uri "NBPSeq" version))
9087 (sha256
9088 (base32
9089 "07mnnk4n0cyksp1mw36y6369is62kxsfg3wb8d3dwswycdmj8m14"))))
9090 (properties `((upstream-name . "NBPSeq")))
9091 (build-system r-build-system)
9092 (propagated-inputs
9093 (list r-qvalue))
9094 (home-page "https://cran.r-project.org/web/packages/NBPSeq")
9095 (synopsis "Negative binomial models for RNA-Seq data")
9096 (description
9097 "This package provides negative binomial models for two-group comparisons
9098 and regression inferences from RNA-sequencing data.")
9099 (license license:gpl2)))
9100
9101 (define-public r-ebseq
9102 (package
9103 (name "r-ebseq")
9104 (version "1.36.0")
9105 (source
9106 (origin
9107 (method url-fetch)
9108 (uri (bioconductor-uri "EBSeq" version))
9109 (sha256
9110 (base32
9111 "192xl9fwsh04w563yk33mfl303d1kqby2ssbqkckqsdr4jb7d57y"))))
9112 (properties `((upstream-name . "EBSeq")))
9113 (build-system r-build-system)
9114 (propagated-inputs
9115 (list r-blockmodeling r-gplots r-testthat))
9116 (home-page "https://bioconductor.org/packages/EBSeq")
9117 (synopsis "Differential expression analysis of RNA-seq data")
9118 (description
9119 "This package provides tools for differential expression analysis at both
9120 gene and isoform level using RNA-seq data")
9121 (license license:artistic2.0)))
9122
9123 (define-public r-karyoploter
9124 (package
9125 (name "r-karyoploter")
9126 (version "1.22.0")
9127 (source (origin
9128 (method url-fetch)
9129 (uri (bioconductor-uri "karyoploteR" version))
9130 (sha256
9131 (base32
9132 "0hawq9wi3ikvlcdgnjfy5fiiwfq22zwx1p8xf5h4bpypp96pknsk"))))
9133 (build-system r-build-system)
9134 (propagated-inputs
9135 (list r-annotationdbi
9136 r-bamsignals
9137 r-bezier
9138 r-biovizbase
9139 r-digest
9140 r-genomeinfodb
9141 r-genomicfeatures
9142 r-genomicranges
9143 r-iranges
9144 r-memoise
9145 r-regioner
9146 r-rsamtools
9147 r-rtracklayer
9148 r-s4vectors
9149 r-variantannotation))
9150 (native-inputs
9151 (list r-knitr))
9152 (home-page "https://bioconductor.org/packages/karyoploteR/")
9153 (synopsis "Plot customizable linear genomes displaying arbitrary data")
9154 (description "This package creates karyotype plots of arbitrary genomes and
9155 offers a complete set of functions to plot arbitrary data on them. It mimics
9156 many R base graphics functions coupling them with a coordinate change function
9157 automatically mapping the chromosome and data coordinates into the plot
9158 coordinates.")
9159 (license license:artistic2.0)))
9160
9161 (define-public r-lpsymphony
9162 (package
9163 (name "r-lpsymphony")
9164 (version "1.24.0")
9165 (source
9166 (origin
9167 (method url-fetch)
9168 (uri (bioconductor-uri "lpsymphony" version))
9169 (sha256
9170 (base32
9171 "0kc708ss5byzw8qh439mb4nq6hsfmz73gfamiznw3lv352brd33g"))))
9172 (build-system r-build-system)
9173 (arguments
9174 (list
9175 #:phases
9176 '(modify-phases %standard-phases
9177 (add-after 'unpack 'make-build-order-reproducible
9178 (lambda _
9179 (substitute* '("src/SYMPHONY/Cgl/configure.ac"
9180 "src/SYMPHONY/Cgl/configure")
9181 (("for file in `ls \\*/Makefile.in`")
9182 "for file in `ls */Makefile.in | sort`")))))))
9183 (inputs
9184 (list zlib))
9185 (native-inputs
9186 (list pkg-config r-knitr))
9187 (home-page "https://r-forge.r-project.org/projects/rsymphony")
9188 (synopsis "Symphony integer linear programming solver in R")
9189 (description
9190 "This package was derived from Rsymphony. The package provides an R
9191 interface to SYMPHONY, a linear programming solver written in C++. The main
9192 difference between this package and Rsymphony is that it includes the solver
9193 source code, while Rsymphony expects to find header and library files on the
9194 users' system. Thus the intention of @code{lpsymphony} is to provide an easy
9195 to install interface to SYMPHONY.")
9196 ;; Symphony 5.4 or later is distributed under the terms of the EPL 1.0.
9197 ;; lpsimphony is released under the same terms.
9198 (license license:epl1.0)))
9199
9200 (define-public r-ihw
9201 (package
9202 (name "r-ihw")
9203 (version "1.24.0")
9204 (source
9205 (origin
9206 (method url-fetch)
9207 (uri (bioconductor-uri "IHW" version))
9208 (sha256
9209 (base32
9210 "1gsfy75dz7xh16z844llcmjnp0a0ridszmrbbv2bdaa43na5msmf"))))
9211 (properties `((upstream-name . "IHW")))
9212 (build-system r-build-system)
9213 (propagated-inputs
9214 (list r-biocgenerics r-fdrtool r-lpsymphony r-slam))
9215 (native-inputs
9216 (list r-knitr))
9217 (home-page "https://bioconductor.org/packages/IHW")
9218 (synopsis "Independent hypothesis weighting")
9219 (description
9220 "@dfn{Independent hypothesis weighting} (IHW) is a multiple testing
9221 procedure that increases power compared to the method of Benjamini and
9222 Hochberg by assigning data-driven weights to each hypothesis. The input to
9223 IHW is a two-column table of p-values and covariates. The covariate can be
9224 any continuous-valued or categorical variable that is thought to be
9225 informative on the statistical properties of each hypothesis test, while it is
9226 independent of the p-value under the null hypothesis.")
9227 (license license:artistic2.0)))
9228
9229 (define-public r-icobra
9230 (package
9231 (name "r-icobra")
9232 (version "1.24.1")
9233 (source
9234 (origin
9235 (method url-fetch)
9236 (uri (bioconductor-uri "iCOBRA" version))
9237 (sha256
9238 (base32
9239 "1gvra5bgsf6lvs4f2md3xx7xxsx4j8079c2nr8vz9lvy2sfyl6s9"))))
9240 (properties `((upstream-name . "iCOBRA")))
9241 (build-system r-build-system)
9242 (propagated-inputs
9243 (list r-dplyr
9244 r-dt
9245 r-ggplot2
9246 r-limma
9247 r-markdown
9248 r-reshape2
9249 r-rocr
9250 r-scales
9251 r-shiny
9252 r-shinybs
9253 r-shinydashboard
9254 r-upsetr))
9255 (native-inputs
9256 (list r-knitr))
9257 (home-page "https://bioconductor.org/packages/iCOBRA")
9258 (synopsis "Comparison and visualization of ranking and assignment methods")
9259 (description
9260 "This package provides functions for calculation and visualization of
9261 performance metrics for evaluation of ranking and binary
9262 classification (assignment) methods. It also contains a Shiny application for
9263 interactive exploration of results.")
9264 (license license:gpl2+)))
9265
9266 (define-public r-residualmatrix
9267 (package
9268 (name "r-residualmatrix")
9269 (version "1.6.1")
9270 (source
9271 (origin
9272 (method url-fetch)
9273 (uri (bioconductor-uri "ResidualMatrix" version))
9274 (sha256
9275 (base32
9276 "1530706c7b53h9m8smgnaj63rgdbm3hd09n7jwy6zc0y6qcffckd"))))
9277 (properties
9278 `((upstream-name . "ResidualMatrix")))
9279 (build-system r-build-system)
9280 (propagated-inputs
9281 (list r-delayedarray r-matrix r-s4vectors))
9282 (native-inputs
9283 (list r-knitr))
9284 (home-page "https://github.com/LTLA/ResidualMatrix")
9285 (synopsis "Create a DelayedMatrix of regression residuals")
9286 (description
9287 "This package implements tools for delayed computation of a matrix of
9288 residuals after fitting a linear model to each column of an input matrix. It
9289 also supports partial computation of residuals where selected factors are to
9290 be preserved in the output matrix. It implements a number of efficient
9291 methods for operating on the delayed matrix of residuals, most notably matrix
9292 multiplication and calculation of row/column sums or means.")
9293 (license license:gpl3)))
9294
9295 (define-public r-batchelor
9296 (package
9297 (name "r-batchelor")
9298 (version "1.12.3")
9299 (source
9300 (origin
9301 (method url-fetch)
9302 (uri (bioconductor-uri "batchelor" version))
9303 (sha256
9304 (base32
9305 "00ix3hvhgalxg63qnynv2waa273jk336lg47k72qwxfzimsxfjxc"))))
9306 (properties `((upstream-name . "batchelor")))
9307 (build-system r-build-system)
9308 (propagated-inputs
9309 (list r-beachmat
9310 r-biocgenerics
9311 r-biocneighbors
9312 r-biocparallel
9313 r-biocsingular
9314 r-delayedarray
9315 r-delayedmatrixstats
9316 r-igraph
9317 r-matrix
9318 r-rcpp
9319 r-residualmatrix
9320 r-s4vectors
9321 r-scaledmatrix
9322 r-scuttle
9323 r-singlecellexperiment
9324 r-summarizedexperiment))
9325 (native-inputs (list r-knitr))
9326 (home-page "https://bioconductor.org/packages/batchelor")
9327 (synopsis "Single-Cell Batch Correction Methods")
9328 (description
9329 "This package implements a variety of methods for batch correction of
9330 single-cell (RNA sequencing) data. This includes methods based on detecting
9331 mutually nearest neighbors, as well as several efficient variants of linear
9332 regression of the log-expression values. Functions are also provided to
9333 perform global rescaling to remove differences in depth between batches, and
9334 to perform a principal components analysis that is robust to differences in
9335 the numbers of cells across batches.")
9336 (license license:gpl3)))
9337
9338 (define-public r-mast
9339 (package
9340 (name "r-mast")
9341 (version "1.22.0")
9342 (source
9343 (origin
9344 (method url-fetch)
9345 (uri (bioconductor-uri "MAST" version))
9346 (sha256
9347 (base32
9348 "1kmrqxcfzzcs8l33n9qn0vahc6wxq6ks3cjx95vg96maf2qzhzzi"))))
9349 (properties `((upstream-name . "MAST")))
9350 (build-system r-build-system)
9351 (propagated-inputs
9352 (list r-abind
9353 r-biobase
9354 r-biocgenerics
9355 r-data-table
9356 r-ggplot2
9357 r-plyr
9358 r-progress
9359 r-reshape2
9360 r-s4vectors
9361 r-singlecellexperiment
9362 r-stringr
9363 r-summarizedexperiment))
9364 (native-inputs
9365 (list r-knitr))
9366 (home-page "https://github.com/RGLab/MAST/")
9367 (synopsis "Model-based analysis of single cell transcriptomics")
9368 (description
9369 "This package provides methods and models for handling zero-inflated
9370 single cell assay data.")
9371 (license license:gpl2+)))
9372
9373 (define-public r-monocle
9374 (package
9375 (name "r-monocle")
9376 (version "2.24.1")
9377 (source
9378 (origin
9379 (method url-fetch)
9380 (uri (bioconductor-uri "monocle" version))
9381 (sha256
9382 (base32
9383 "11g1wx0f1yzhg3x1aa3d5l7pqlzxj16s0gha21skxkgld8k2x8xn"))))
9384 (build-system r-build-system)
9385 (propagated-inputs
9386 (list r-biobase
9387 r-biocgenerics
9388 r-biocviews
9389 r-cluster
9390 r-combinat
9391 r-ddrtree
9392 r-dplyr
9393 r-fastica
9394 r-ggplot2
9395 r-hsmmsinglecell
9396 r-igraph
9397 r-irlba
9398 r-leidenbase
9399 r-limma
9400 r-mass
9401 r-matrix
9402 r-matrixstats
9403 r-pheatmap
9404 r-plyr
9405 r-proxy
9406 r-qlcmatrix
9407 r-rann
9408 r-rcpp
9409 r-reshape2
9410 r-rtsne
9411 r-slam
9412 r-stringr
9413 r-tibble
9414 r-vgam
9415 r-viridis))
9416 (native-inputs
9417 (list r-knitr))
9418 (home-page "https://bioconductor.org/packages/monocle")
9419 (synopsis "Clustering, differential expression, and trajectory analysis for single-cell RNA-Seq")
9420 (description
9421 "Monocle performs differential expression and time-series analysis for
9422 single-cell expression experiments. It orders individual cells according to
9423 progress through a biological process, without knowing ahead of time which
9424 genes define progress through that process. Monocle also performs
9425 differential expression analysis, clustering, visualization, and other useful
9426 tasks on single cell expression data. It is designed to work with RNA-Seq and
9427 qPCR data, but could be used with other types as well.")
9428 (license license:artistic2.0)))
9429
9430 (define-public r-leidenbase
9431 (let ((commit "a11b8455fa3307d9e3ac4e3a5accddf3c83b9a96")
9432 (revision "1"))
9433 (package
9434 (name "r-leidenbase")
9435 (version (git-version "0.1.9" revision commit))
9436 (source
9437 (origin
9438 (method git-fetch)
9439 (uri (git-reference
9440 (url "https://github.com/cole-trapnell-lab/leidenbase")
9441 (commit commit)))
9442 (file-name (git-file-name name version))
9443 (sha256
9444 (base32
9445 "1f54mycsffvzmblz5pzgs3v4jygnbvz0c9d3x710gw5mxkq2p84f"))))
9446 (properties `((upstream-name . "leidenbase")))
9447 (build-system r-build-system)
9448 (inputs
9449 (list zlib))
9450 (native-inputs
9451 (list gfortran))
9452 (propagated-inputs
9453 (list r-igraph))
9454 (home-page "https://github.com/cole-trapnell-lab/leidenbase")
9455 (synopsis "R and C wrappers to run the Leiden find_partition function")
9456 (description
9457 "This package provides an R to C interface that runs the Leiden
9458 community detection algorithm to find a basic partition. It runs the
9459 equivalent of the @code{find_partition} function. This package includes the
9460 required source code files from the official Leidenalg distribution and
9461 several functions from the R igraph package.")
9462 (license license:gpl3+))))
9463
9464 (define-public r-sanssouci
9465 ;; sansscouci doesn't have a (versioned) release yet.
9466 ;; This is the latest commit as of packaging for Guix.
9467 (let ((commit "5fe20a9aaf4ac637fa83d9cc73ff1c22de97ca6f")
9468 (revision "1"))
9469 (package
9470 (name "r-sanssouci")
9471 (version (git-version "0" revision commit))
9472 (source (origin
9473 (method git-fetch)
9474 (uri (git-reference
9475 (url "https://github.com/pneuvial/sanssouci.git")
9476 (commit commit)))
9477 (file-name (git-file-name name version))
9478 (sha256
9479 (base32
9480 "13ycdd790qw64qy2zdvcrpj3fc8as628rsly32438d3rifnlc5sk"))))
9481 (build-system r-build-system)
9482 (propagated-inputs
9483 (list r-generics r-matrix r-matrixstats r-rcpp r-rcpparmadillo))
9484 (home-page "https://pneuvial.github.io/sanssouci")
9485 (synopsis "Post Hoc multiple testing inference")
9486 (description
9487 "The goal of sansSouci is to perform post hoc inference: in a multiple
9488 testing context, sansSouci provides statistical guarantees on possibly
9489 user-defined and/or data-driven sets of hypotheses.")
9490 (license license:gpl3))))
9491
9492 (define-public r-monocle3
9493 (package
9494 (name "r-monocle3")
9495 (version "1.0.0")
9496 (source
9497 (origin
9498 (method git-fetch)
9499 (uri (git-reference
9500 (url "https://github.com/cole-trapnell-lab/monocle3")
9501 (commit version)))
9502 (file-name (git-file-name name version))
9503 (sha256
9504 (base32
9505 "16vpvlbms8fdvpfwzcig0rkg2mxnsq1h80d2l7q3953wm91qc9x4"))))
9506 (build-system r-build-system)
9507 (propagated-inputs
9508 (list r-assertthat
9509 r-batchelor
9510 r-biobase
9511 r-biocgenerics
9512 r-delayedmatrixstats
9513 r-dplyr
9514 r-ggplot2
9515 r-ggrepel
9516 r-grr
9517 r-htmlwidgets
9518 r-igraph
9519 r-irlba
9520 r-leidenbase
9521 r-limma
9522 r-lmtest
9523 r-mass
9524 r-matrix
9525 r-matrix-utils
9526 r-pbapply
9527 r-pbmcapply
9528 r-pheatmap
9529 r-plotly
9530 r-pryr
9531 r-proxy
9532 r-pscl
9533 r-purrr
9534 r-rann
9535 r-rcpp
9536 r-rcppparallel
9537 r-reshape2
9538 r-reticulate
9539 r-rhpcblasctl
9540 r-rsample
9541 r-rtsne
9542 r-shiny
9543 r-slam
9544 r-spdep
9545 r-speedglm
9546 r-stringr
9547 r-singlecellexperiment
9548 r-tibble
9549 r-tidyr
9550 r-uwot
9551 r-viridis))
9552 (home-page "https://github.com/cole-trapnell-lab/monocle3")
9553 (synopsis "Analysis toolkit for single-cell RNA-Seq data")
9554 (description
9555 "Monocle 3 is an analysis toolkit for single-cell RNA-Seq experiments.")
9556 (license license:expat)))
9557
9558 (define-public r-noiseq
9559 (package
9560 (name "r-noiseq")
9561 (version "2.40.0")
9562 (source
9563 (origin
9564 (method url-fetch)
9565 (uri (bioconductor-uri "NOISeq" version))
9566 (sha256
9567 (base32
9568 "0ah6adlhv4254jkssinn2ik8n811hd1nw85bnzqk2kwhl49nrk27"))))
9569 (properties `((upstream-name . "NOISeq")))
9570 (build-system r-build-system)
9571 (propagated-inputs
9572 (list r-biobase r-matrix))
9573 (home-page "https://bioconductor.org/packages/NOISeq")
9574 (synopsis "Exploratory analysis and differential expression for RNA-seq data")
9575 (description
9576 "This package provides tools to support the analysis of RNA-seq
9577 expression data or other similar kind of data. It provides exploratory plots
9578 to evaluate saturation, count distribution, expression per chromosome, type of
9579 detected features, features length, etc. It also supports the analysis of
9580 differential expression between two experimental conditions with no parametric
9581 assumptions.")
9582 (license license:artistic2.0)))
9583
9584 (define-public r-scdd
9585 (package
9586 (name "r-scdd")
9587 (version "1.20.0")
9588 (source
9589 (origin
9590 (method url-fetch)
9591 (uri (bioconductor-uri "scDD" version))
9592 (sha256
9593 (base32
9594 "0bjww338z5qf2g97kbh85h9kpagjr59ff9f4alm33h16xz5mb7k0"))))
9595 (properties `((upstream-name . "scDD")))
9596 (build-system r-build-system)
9597 (propagated-inputs
9598 (list r-arm
9599 r-biocparallel
9600 r-ebseq
9601 r-fields
9602 r-ggplot2
9603 r-mclust
9604 r-outliers
9605 r-s4vectors
9606 r-scran
9607 r-singlecellexperiment
9608 r-summarizedexperiment))
9609 (native-inputs
9610 (list r-knitr))
9611 (home-page "https://github.com/kdkorthauer/scDD")
9612 (synopsis "Mixture modeling of single-cell RNA-seq data")
9613 (description
9614 "This package implements a method to analyze single-cell RNA-seq data
9615 utilizing flexible Dirichlet Process mixture models. Genes with differential
9616 distributions of expression are classified into several interesting patterns
9617 of differences between two conditions. The package also includes functions
9618 for simulating data with these patterns from negative binomial
9619 distributions.")
9620 (license license:gpl2)))
9621
9622 (define-public r-scone
9623 (package
9624 (name "r-scone")
9625 (version "1.20.0")
9626 (source
9627 (origin
9628 (method url-fetch)
9629 (uri (bioconductor-uri "scone" version))
9630 (sha256
9631 (base32
9632 "05id34n6min03ha1chg5mrvx399qm2mby9kxkaz5w8fbidp97851"))))
9633 (build-system r-build-system)
9634 (propagated-inputs
9635 (list r-aroma-light
9636 r-biocparallel
9637 r-boot
9638 r-class
9639 r-cluster
9640 r-compositions
9641 r-diptest
9642 r-edger
9643 r-fpc
9644 r-gplots
9645 r-hexbin
9646 r-limma
9647 r-matrixgenerics
9648 r-matrixstats
9649 r-mixtools
9650 r-rarpack
9651 r-rcolorbrewer
9652 r-rhdf5
9653 r-ruvseq
9654 r-singlecellexperiment
9655 r-summarizedexperiment))
9656 (native-inputs
9657 (list r-knitr))
9658 (home-page "https://bioconductor.org/packages/scone")
9659 (synopsis "Single cell overview of normalized expression data")
9660 (description
9661 "SCONE is an R package for comparing and ranking the performance of
9662 different normalization schemes for single-cell RNA-seq and other
9663 high-throughput analyses.")
9664 (license license:artistic2.0)))
9665
9666 (define-public r-geoquery
9667 (package
9668 (name "r-geoquery")
9669 (version "2.64.2")
9670 (source
9671 (origin
9672 (method url-fetch)
9673 (uri (bioconductor-uri "GEOquery" version))
9674 (sha256
9675 (base32
9676 "1cvkvq2haz831qi8w0gd3ayvxfxsl0z5klhki4gkfi9xqdv1gi9x"))))
9677 (properties `((upstream-name . "GEOquery")))
9678 (build-system r-build-system)
9679 (propagated-inputs
9680 (list r-biobase
9681 r-curl
9682 r-data-table
9683 r-dplyr
9684 r-limma
9685 r-magrittr
9686 r-r-utils
9687 r-readr
9688 r-tidyr
9689 r-xml2))
9690 (native-inputs
9691 (list r-knitr))
9692 (home-page "https://github.com/seandavi/GEOquery/")
9693 (synopsis "Get data from NCBI Gene Expression Omnibus (GEO)")
9694 (description
9695 "The NCBI Gene Expression Omnibus (GEO) is a public repository of
9696 microarray data. Given the rich and varied nature of this resource, it is
9697 only natural to want to apply BioConductor tools to these data. GEOquery is
9698 the bridge between GEO and BioConductor.")
9699 (license license:gpl2)))
9700
9701 (define-public r-illuminaio
9702 (package
9703 (name "r-illuminaio")
9704 (version "0.38.0")
9705 (source
9706 (origin
9707 (method url-fetch)
9708 (uri (bioconductor-uri "illuminaio" version))
9709 (sha256
9710 (base32
9711 "1xk057a9w4ps8xi8jyw8imkjcicfmzns8g92grn4af7yiip68h62"))))
9712 (build-system r-build-system)
9713 (propagated-inputs
9714 (list r-base64))
9715 (home-page "https://github.com/HenrikBengtsson/illuminaio/")
9716 (synopsis "Parse Illumina microarray output files")
9717 (description
9718 "This package provides tools for parsing Illumina's microarray output
9719 files, including IDAT.")
9720 (license license:gpl2)))
9721
9722 (define-public r-siggenes
9723 (package
9724 (name "r-siggenes")
9725 (version "1.70.0")
9726 (source
9727 (origin
9728 (method url-fetch)
9729 (uri (bioconductor-uri "siggenes" version))
9730 (sha256
9731 (base32
9732 "0amjqm2c8p1vjzx109p7n81wbsbx8rljwn6mbkl7dpi834im9d7l"))))
9733 (build-system r-build-system)
9734 (propagated-inputs
9735 (list r-biobase r-multtest r-scrime))
9736 (home-page "https://bioconductor.org/packages/siggenes/")
9737 (synopsis
9738 "Multiple testing using SAM and Efron's empirical Bayes approaches")
9739 (description
9740 "This package provides tools for the identification of differentially
9741 expressed genes and estimation of the @dfn{False Discovery Rate} (FDR) using
9742 both the Significance Analysis of Microarrays (SAM) and the @dfn{Empirical
9743 Bayes Analyses of Microarrays} (EBAM).")
9744 (license license:lgpl2.0+)))
9745
9746 (define-public r-bumphunter
9747 (package
9748 (name "r-bumphunter")
9749 (version "1.38.0")
9750 (source
9751 (origin
9752 (method url-fetch)
9753 (uri (bioconductor-uri "bumphunter" version))
9754 (sha256
9755 (base32
9756 "0k92ps9chqsimbc7vsr8swg679zfv8nfn5zahbqq4nknhhy7hwxw"))))
9757 (build-system r-build-system)
9758 (propagated-inputs
9759 (list r-annotationdbi
9760 r-biocgenerics
9761 r-dorng
9762 r-foreach
9763 r-genomeinfodb
9764 r-genomicfeatures
9765 r-genomicranges
9766 r-iranges
9767 r-iterators
9768 r-limma
9769 r-locfit
9770 r-matrixstats
9771 r-s4vectors))
9772 (home-page "https://github.com/ririzarr/bumphunter")
9773 (synopsis "Find bumps in genomic data")
9774 (description
9775 "This package provides tools for finding bumps in genomic data in order
9776 to identify differentially methylated regions in epigenetic epidemiology
9777 studies.")
9778 (license license:artistic2.0)))
9779
9780 (define-public r-microbiome
9781 (package
9782 (name "r-microbiome")
9783 (version "1.18.0")
9784 (source (origin
9785 (method url-fetch)
9786 (uri (bioconductor-uri "microbiome" version))
9787 (sha256
9788 (base32
9789 "1z9arkjp5xszlg07mzb4p163i74jfbd9p4gbwv5syivnpl040k12"))))
9790 (properties `((upstream-name . "microbiome")))
9791 (build-system r-build-system)
9792 (propagated-inputs
9793 (list r-biostrings
9794 r-compositions
9795 r-dplyr
9796 r-ggplot2
9797 r-phyloseq
9798 r-reshape2
9799 r-rtsne
9800 r-scales
9801 r-tibble
9802 r-tidyr
9803 r-vegan))
9804 (native-inputs (list r-knitr))
9805 (home-page "https://microbiome.github.io/microbiome/")
9806 (synopsis "Tools for microbiome analysis")
9807 (description
9808 "This package facilitates phyloseq exploration and analysis of taxonomic
9809 profiling data. This package provides tools for the manipulation, statistical
9810 analysis, and visualization of taxonomic profiling data. In addition to
9811 targeted case-control studies, microbiome facilitates scalable exploration of
9812 population cohorts. This package supports the independent phyloseq data
9813 format and expands the available toolkit in order to facilitate the
9814 standardization of the analyses and the development of best practices.")
9815 (license license:bsd-2)))
9816
9817 (define-public r-milor
9818 (package
9819 (name "r-milor")
9820 (version "1.4.0")
9821 (source (origin
9822 (method url-fetch)
9823 (uri (bioconductor-uri "miloR" version))
9824 (sha256
9825 (base32
9826 "1jz9p3grnczx0bpdw6j64x21in8zgm3qy19hmm296har2rx9m5zs"))))
9827 (properties `((upstream-name . "miloR")))
9828 (build-system r-build-system)
9829 (propagated-inputs
9830 (list r-biocgenerics
9831 r-biocneighbors
9832 r-biocparallel
9833 r-biocsingular
9834 r-cowplot
9835 r-dplyr
9836 r-edger
9837 r-ggbeeswarm
9838 r-ggplot2
9839 r-ggraph
9840 r-ggrepel
9841 r-gtools
9842 r-igraph
9843 r-irlba
9844 r-limma
9845 r-matrix
9846 r-matrixstats
9847 r-patchwork
9848 r-rcolorbrewer
9849 r-s4vectors
9850 r-singlecellexperiment
9851 r-stringr
9852 r-summarizedexperiment
9853 r-tibble
9854 r-tidyr))
9855 (native-inputs (list r-knitr))
9856 (home-page "https://marionilab.github.io/miloR")
9857 (synopsis "Differential neighbourhood abundance testing on a graph")
9858 (description
9859 "Milo performs single-cell differential abundance testing. Cell states
9860 are modelled as representative neighbourhoods on a nearest neighbour graph.
9861 Hypothesis testing is performed using a negative bionomial generalized linear
9862 model.")
9863 (license license:gpl3)))
9864
9865 (define-public r-minfi
9866 (package
9867 (name "r-minfi")
9868 (version "1.42.0")
9869 (source
9870 (origin
9871 (method url-fetch)
9872 (uri (bioconductor-uri "minfi" version))
9873 (sha256
9874 (base32
9875 "0255z7w5i5k01w8wn7jkb37h3q7m7vg0szqgk76h330yydnmkrq6"))))
9876 (build-system r-build-system)
9877 (propagated-inputs
9878 (list r-beanplot
9879 r-biobase
9880 r-biocgenerics
9881 r-biocparallel
9882 r-biostrings
9883 r-bumphunter
9884 r-data-table
9885 r-delayedarray
9886 r-delayedmatrixstats
9887 r-genefilter
9888 r-genomeinfodb
9889 r-genomicranges
9890 r-geoquery
9891 r-hdf5array
9892 r-illuminaio
9893 r-iranges
9894 r-lattice
9895 r-limma
9896 r-mass
9897 r-mclust
9898 r-nlme
9899 r-nor1mix
9900 r-preprocesscore
9901 r-quadprog
9902 r-rcolorbrewer
9903 r-reshape
9904 r-s4vectors
9905 r-siggenes
9906 r-summarizedexperiment))
9907 (native-inputs
9908 (list r-knitr))
9909 (home-page "https://github.com/hansenlab/minfi")
9910 (synopsis "Analyze Illumina Infinium DNA methylation arrays")
9911 (description
9912 "This package provides tools to analyze and visualize Illumina Infinium
9913 methylation arrays.")
9914 (license license:artistic2.0)))
9915
9916 (define-public r-methylumi
9917 (package
9918 (name "r-methylumi")
9919 (version "2.42.0")
9920 (source
9921 (origin
9922 (method url-fetch)
9923 (uri (bioconductor-uri "methylumi" version))
9924 (sha256
9925 (base32
9926 "0klkinq55lfj1d4z8gkrv98849079x1l5gd15habw7jq9xxvhjww"))))
9927 (build-system r-build-system)
9928 (propagated-inputs
9929 (list r-annotate
9930 r-annotationdbi
9931 r-biobase
9932 r-biocgenerics
9933 r-fdb-infiniummethylation-hg19
9934 r-genefilter
9935 r-genomeinfodb
9936 r-genomicfeatures
9937 r-genomicranges
9938 r-ggplot2
9939 r-illuminaio
9940 r-iranges
9941 r-lattice
9942 r-matrixstats
9943 r-minfi
9944 r-reshape2
9945 r-s4vectors
9946 r-scales
9947 r-summarizedexperiment))
9948 (native-inputs
9949 (list r-knitr))
9950 (home-page "https://bioconductor.org/packages/methylumi")
9951 (synopsis "Handle Illumina methylation data")
9952 (description
9953 "This package provides classes for holding and manipulating Illumina
9954 methylation data. Based on eSet, it can contain MIAME information, sample
9955 information, feature information, and multiple matrices of data. An
9956 \"intelligent\" import function, methylumiR can read the Illumina text files
9957 and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from
9958 HumanMethylation27 and HumanMethylation450 microarrays. Normalization,
9959 background correction, and quality control features for GoldenGate, Infinium,
9960 and Infinium HD arrays are also included.")
9961 (license license:gpl2)))
9962
9963 (define-public r-lumi
9964 (package
9965 (name "r-lumi")
9966 (version "2.48.0")
9967 (source
9968 (origin
9969 (method url-fetch)
9970 (uri (bioconductor-uri "lumi" version))
9971 (sha256
9972 (base32
9973 "06zmll5j1yymsm3byarhllrz4q1w5mzv267a9g6visn73wan8y9d"))))
9974 (build-system r-build-system)
9975 (propagated-inputs
9976 (list r-affy
9977 r-annotate
9978 r-annotationdbi
9979 r-biobase
9980 r-dbi
9981 r-genomicfeatures
9982 r-genomicranges
9983 r-kernsmooth
9984 r-lattice
9985 r-mass
9986 r-methylumi
9987 r-mgcv
9988 r-nleqslv
9989 r-preprocesscore
9990 r-rsqlite))
9991 (home-page "https://bioconductor.org/packages/lumi")
9992 (synopsis "BeadArray-specific methods for Illumina methylation and expression microarrays")
9993 (description
9994 "The lumi package provides an integrated solution for the Illumina
9995 microarray data analysis. It includes functions of Illumina
9996 BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific
9997 variance stabilization, normalization and gene annotation at the probe level.
9998 It also includes the functions of processing Illumina methylation microarrays,
9999 especially Illumina Infinium methylation microarrays.")
10000 (license license:lgpl2.0+)))
10001
10002 (define-public r-linnorm
10003 (package
10004 (name "r-linnorm")
10005 (version "2.20.0")
10006 (source
10007 (origin
10008 (method url-fetch)
10009 (uri (bioconductor-uri "Linnorm" version))
10010 (sha256
10011 (base32
10012 "1002lllgns5klv3q2wsikkbypa2bafpka7a8mri0y5bfxncfr2zb"))))
10013 (properties `((upstream-name . "Linnorm")))
10014 (build-system r-build-system)
10015 (propagated-inputs
10016 (list r-amap
10017 r-apcluster
10018 r-ellipse
10019 r-fastcluster
10020 r-fpc
10021 r-ggdendro
10022 r-ggplot2
10023 r-gmodels
10024 r-igraph
10025 r-limma
10026 r-mass
10027 r-mclust
10028 r-rcpp
10029 r-rcpparmadillo
10030 r-rtsne
10031 r-statmod
10032 r-vegan
10033 r-zoo))
10034 (native-inputs
10035 (list r-knitr))
10036 (home-page "http://www.jjwanglab.org/Linnorm/")
10037 (synopsis "Linear model and normality based transformation method")
10038 (description
10039 "Linnorm is an R package for the analysis of RNA-seq, scRNA-seq, ChIP-seq
10040 count data or any large scale count data. It transforms such datasets for
10041 parametric tests. In addition to the transformtion function (@code{Linnorm}),
10042 the following pipelines are implemented:
10043
10044 @enumerate
10045 @item Library size/batch effect normalization (@code{Linnorm.Norm})
10046 @item Cell subpopluation analysis and visualization using t-SNE or PCA K-means
10047 clustering or hierarchical clustering (@code{Linnorm.tSNE},
10048 @code{Linnorm.PCA}, @code{Linnorm.HClust})
10049 @item Differential expression analysis or differential peak detection using
10050 limma (@code{Linnorm.limma})
10051 @item Highly variable gene discovery and visualization (@code{Linnorm.HVar})
10052 @item Gene correlation network analysis and visualization (@code{Linnorm.Cor})
10053 @item Stable gene selection for scRNA-seq data; for users without or who do
10054 not want to rely on spike-in genes (@code{Linnorm.SGenes})
10055 @item Data imputation (@code{Linnorm.DataImput}).
10056 @end enumerate
10057
10058 Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. Additionally, the
10059 @code{RnaXSim} function is included for simulating RNA-seq data for the
10060 evaluation of DEG analysis methods.")
10061 (license license:expat)))
10062
10063 (define-public r-ioniser
10064 (package
10065 (name "r-ioniser")
10066 (version "2.20.0")
10067 (source
10068 (origin
10069 (method url-fetch)
10070 (uri (bioconductor-uri "IONiseR" version))
10071 (sha256
10072 (base32
10073 "0cgx1dcfh617l9vr4r3ky8w7f0snl0vpavfd9n1h5n68p0p42dwi"))))
10074 (properties `((upstream-name . "IONiseR")))
10075 (build-system r-build-system)
10076 (propagated-inputs
10077 (list r-biocgenerics
10078 r-biocparallel
10079 r-biostrings
10080 r-bit64
10081 r-dplyr
10082 r-ggplot2
10083 r-magrittr
10084 r-rhdf5
10085 r-shortread
10086 r-stringr
10087 r-tibble
10088 r-tidyr
10089 r-xvector))
10090 (native-inputs
10091 (list r-knitr))
10092 (home-page "https://bioconductor.org/packages/IONiseR/")
10093 (synopsis "Quality assessment tools for Oxford Nanopore MinION data")
10094 (description
10095 "IONiseR provides tools for the quality assessment of Oxford Nanopore
10096 MinION data. It extracts summary statistics from a set of fast5 files and can
10097 be used either before or after base calling. In addition to standard
10098 summaries of the read-types produced, it provides a number of plots for
10099 visualising metrics relative to experiment run time or spatially over the
10100 surface of a flowcell.")
10101 (license license:expat)))
10102
10103 ;; This is a CRAN package, but it depends on multtest from Bioconductor.
10104 (define-public r-mutoss
10105 (package
10106 (name "r-mutoss")
10107 (version "0.1-12")
10108 (source
10109 (origin
10110 (method url-fetch)
10111 (uri (cran-uri "mutoss" version))
10112 (sha256
10113 (base32
10114 "1yk7p7pb2xm38d3j19ysgwmix48lvimbhkhjjwk5jmr1a0ysx298"))))
10115 (properties `((upstream-name . "mutoss")))
10116 (build-system r-build-system)
10117 (propagated-inputs
10118 (list r-multcomp r-multtest r-mvtnorm r-plotrix))
10119 (home-page "https://github.com/kornl/mutoss/")
10120 (synopsis "Unified multiple testing procedures")
10121 (description
10122 "This package is designed to ease the application and comparison of
10123 multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods
10124 are standardized and usable by the accompanying mutossGUI package.")
10125 ;; Any version of the GPL.
10126 (license (list license:gpl2+ license:gpl3+))))
10127
10128 ;; This is a CRAN package, but it depends on mutoss, which depends on multtest
10129 ;; from Bioconductor, so we put it here.
10130 (define-public r-metap
10131 (package
10132 (name "r-metap")
10133 (version "1.8")
10134 (source
10135 (origin
10136 (method url-fetch)
10137 (uri (cran-uri "metap" version))
10138 (sha256
10139 (base32
10140 "0asmypxfxly4xmcjf3yzid5zqlzg88z0brij2splfk4avsl035gf"))))
10141 (build-system r-build-system)
10142 (propagated-inputs
10143 (list r-lattice
10144 r-mathjaxr
10145 r-mutoss
10146 r-qqconf
10147 r-rdpack
10148 r-tfisher))
10149 (home-page "http://www.dewey.myzen.co.uk/meta/meta.html")
10150 (synopsis "Meta-analysis of significance values")
10151 (description
10152 "The canonical way to perform meta-analysis involves using effect sizes.
10153 When they are not available this package provides a number of methods for
10154 meta-analysis of significance values including the methods of Edgington,
10155 Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate
10156 published results; and a routine for graphical display.")
10157 (license license:gpl2)))
10158
10159 (define-public r-tradeseq
10160 (package
10161 (name "r-tradeseq")
10162 (version "1.10.0")
10163 (source (origin
10164 (method url-fetch)
10165 (uri (bioconductor-uri "tradeSeq" version))
10166 (sha256
10167 (base32
10168 "0v9nqxrwa69qhmyaicn2vvs8haha4kzs93iqim306331vadp9qm0"))))
10169 (build-system r-build-system)
10170 (propagated-inputs
10171 (list r-biobase
10172 r-biocparallel
10173 r-edger
10174 r-ggplot2
10175 r-igraph
10176 r-magrittr
10177 r-mass
10178 r-matrix
10179 r-matrixstats
10180 r-mgcv
10181 r-pbapply
10182 r-princurve
10183 r-rcolorbrewer
10184 r-s4vectors
10185 r-singlecellexperiment
10186 r-slingshot
10187 r-summarizedexperiment
10188 r-tibble
10189 r-trajectoryutils
10190 r-viridis))
10191 (native-inputs
10192 (list r-knitr))
10193 (home-page "https://statomics.github.io/tradeSeq/index.html")
10194 (synopsis "Trajectory-based differential expression analysis")
10195 (description
10196 "This package provides a flexible method for fitting regression models that
10197 can be used to find genes that are differentially expressed along one or
10198 multiple lineages in a trajectory. Based on the fitted models, it uses a
10199 variety of tests suited to answer different questions of interest, e.g. the
10200 discovery of genes for which expression is associated with pseudotime, or which
10201 are differentially expressed (in a specific region) along the trajectory. It
10202 fits a negative binomial generalized additive model (GAM) for each gene, and
10203 performs inference on the parameters of the GAM.")
10204 (license license:expat)))
10205
10206 (define-public r-triform
10207 (package
10208 (name "r-triform")
10209 (version "1.29.0")
10210 (source
10211 (origin
10212 (method url-fetch)
10213 (uri (bioconductor-uri "triform" version))
10214 (sha256
10215 (base32
10216 "089b7f6dwpi9abj0ncswbi4s30k45996zb99sh43avw6jcb6qj60"))))
10217 (build-system r-build-system)
10218 (propagated-inputs
10219 (list r-biocgenerics r-iranges r-yaml))
10220 (home-page "https://bioconductor.org/packages/triform/")
10221 (synopsis "Find enriched regions in transcription factor ChIP-sequencing data")
10222 (description
10223 "The Triform algorithm uses model-free statistics to identify peak-like
10224 distributions of TF ChIP sequencing reads, taking advantage of an improved
10225 peak definition in combination with known profile characteristics.")
10226 (license license:gpl2)))
10227
10228 (define-public r-varianttools
10229 (package
10230 (name "r-varianttools")
10231 (version "1.38.0")
10232 (source
10233 (origin
10234 (method url-fetch)
10235 (uri (bioconductor-uri "VariantTools" version))
10236 (sha256
10237 (base32
10238 "18nxcamfgnw4n2ab0czxglw0sqc9wzdqzpjv43lcyyal23lzzsix"))))
10239 (properties `((upstream-name . "VariantTools")))
10240 (build-system r-build-system)
10241 (propagated-inputs
10242 (list r-biobase
10243 r-biocgenerics
10244 r-biocparallel
10245 r-biostrings
10246 r-bsgenome
10247 r-genomeinfodb
10248 r-genomicfeatures
10249 r-genomicranges
10250 r-iranges
10251 r-matrix
10252 r-rsamtools
10253 r-rtracklayer
10254 r-s4vectors
10255 r-variantannotation))
10256 (home-page "https://bioconductor.org/packages/VariantTools/")
10257 (synopsis "Tools for exploratory analysis of variant calls")
10258 (description
10259 "Explore, diagnose, and compare variant calls using filters. The
10260 VariantTools package supports a workflow for loading data, calling single
10261 sample variants and tumor-specific somatic mutations or other sample-specific
10262 variant types (e.g., RNA editing). Most of the functions operate on
10263 alignments (BAM files) or datasets of called variants. The user is expected
10264 to have already aligned the reads with a separate tool, e.g., GSNAP via
10265 gmapR.")
10266 (license license:artistic2.0)))
10267
10268 (define-public r-heatplus
10269 (package
10270 (name "r-heatplus")
10271 (version "3.4.0")
10272 (source
10273 (origin
10274 (method url-fetch)
10275 (uri (bioconductor-uri "Heatplus" version))
10276 (sha256
10277 (base32
10278 "0b1mzxysmrqinp93p587apna8p0llmawblwj93icydqxxm2jkhb1"))))
10279 (properties `((upstream-name . "Heatplus")))
10280 (build-system r-build-system)
10281 (propagated-inputs
10282 (list r-rcolorbrewer))
10283 (home-page "https://github.com/alexploner/Heatplus")
10284 (synopsis "Heatmaps with row and/or column covariates and colored clusters")
10285 (description
10286 "This package provides tools to display a rectangular heatmap (intensity
10287 plot) of a data matrix. By default, both samples (columns) and features (row)
10288 of the matrix are sorted according to a hierarchical clustering, and the
10289 corresponding dendrogram is plotted. Optionally, panels with additional
10290 information about samples and features can be added to the plot.")
10291 (license license:gpl2+)))
10292
10293 (define-public r-gosemsim
10294 (package
10295 (name "r-gosemsim")
10296 (version "2.22.0")
10297 (source
10298 (origin
10299 (method url-fetch)
10300 (uri (bioconductor-uri "GOSemSim" version))
10301 (sha256
10302 (base32
10303 "1hp15pzd0m0g9f8kglyfsgjqxnvxcmm9022xnsrkzfvmj2yw14vd"))))
10304 (properties `((upstream-name . "GOSemSim")))
10305 (build-system r-build-system)
10306 (propagated-inputs
10307 (list r-annotationdbi r-go-db r-rcpp))
10308 (native-inputs
10309 (list r-knitr))
10310 (home-page "https://guangchuangyu.github.io/software/GOSemSim")
10311 (synopsis "GO-terms semantic similarity measures")
10312 (description
10313 "The semantic comparisons of @dfn{Gene Ontology} (GO) annotations provide
10314 quantitative ways to compute similarities between genes and gene groups, and
10315 have became important basis for many bioinformatics analysis approaches.
10316 GOSemSim is an R package for semantic similarity computation among GO terms,
10317 sets of GO terms, gene products and gene clusters.")
10318 (license license:artistic2.0)))
10319
10320 (define-public r-anota
10321 (package
10322 (name "r-anota")
10323 (version "1.44.0")
10324 (source
10325 (origin
10326 (method url-fetch)
10327 (uri (bioconductor-uri "anota" version))
10328 (sha256
10329 (base32
10330 "1x75r5znl8jllqsgzpxsqj62ch11bpwhmyzmbjmb8sz8f8ww923c"))))
10331 (build-system r-build-system)
10332 (propagated-inputs
10333 (list r-multtest r-qvalue))
10334 (home-page "https://bioconductor.org/packages/anota/")
10335 (synopsis "Analysis of translational activity")
10336 (description
10337 "Genome wide studies of translational control is emerging as a tool to
10338 study various biological conditions. The output from such analysis is both
10339 the mRNA level (e.g. cytosolic mRNA level) and the level of mRNA actively
10340 involved in translation (the actively translating mRNA level) for each mRNA.
10341 The standard analysis of such data strives towards identifying differential
10342 translational between two or more sample classes - i.e., differences in
10343 actively translated mRNA levels that are independent of underlying differences
10344 in cytosolic mRNA levels. This package allows for such analysis using partial
10345 variances and the random variance model. As 10s of thousands of mRNAs are
10346 analyzed in parallel the library performs a number of tests to assure that
10347 the data set is suitable for such analysis.")
10348 (license license:gpl3)))
10349
10350 (define-public r-sigpathway
10351 (package
10352 (name "r-sigpathway")
10353 (version "1.64.0")
10354 (source
10355 (origin
10356 (method url-fetch)
10357 (uri (bioconductor-uri "sigPathway" version))
10358 (sha256
10359 (base32
10360 "1c2kwhbxgf66az7ssm2mab9n5x59zy4kxq8vblz5r9636xqaysif"))))
10361 (properties `((upstream-name . "sigPathway")))
10362 (build-system r-build-system)
10363 (home-page "https://www.pnas.org/cgi/doi/10.1073/pnas.0506577102")
10364 (synopsis "Pathway analysis")
10365 (description
10366 "This package is used to conduct pathway analysis by calculating the NT_k
10367 and NE_k statistics in a statistical framework for determining whether a
10368 specified group of genes for a pathway has a coordinated association with a
10369 phenotype of interest.")
10370 (license license:gpl2)))
10371
10372 (define-public r-fcscan
10373 (package
10374 (name "r-fcscan")
10375 (version "1.10.0")
10376 (source
10377 (origin
10378 (method url-fetch)
10379 (uri (bioconductor-uri "fcScan" version))
10380 (sha256
10381 (base32 "0yv7ifw0xxx1v9z8dxszv0cb72q3frd74dyxfbvrcs6x9y9v3jzp"))))
10382 (properties `((upstream-name . "fcScan")))
10383 (build-system r-build-system)
10384 (propagated-inputs
10385 (list r-doparallel
10386 r-foreach
10387 r-genomicranges
10388 r-iranges
10389 r-plyr
10390 r-rtracklayer
10391 r-summarizedexperiment
10392 r-variantannotation))
10393 (native-inputs (list r-knitr))
10394 (home-page "https://bioconductor.org/packages/fcScan")
10395 (synopsis "Detect clusters of coordinates with user defined options")
10396 (description
10397 "This package is used to detect combination of genomic coordinates
10398 falling within a user defined window size along with user defined overlap
10399 between identified neighboring clusters. It can be used for genomic data
10400 where the clusters are built on a specific chromosome or specific strand.
10401 Clustering can be performed with a \"greedy\" option allowing thus the
10402 presence of additional sites within the allowed window size.")
10403 (license license:artistic2.0)))
10404
10405 (define-public r-fgsea
10406 (package
10407 (name "r-fgsea")
10408 (version "1.22.0")
10409 (source
10410 (origin
10411 (method url-fetch)
10412 (uri (bioconductor-uri "fgsea" version))
10413 (sha256
10414 (base32
10415 "0innyggai6l4fpl4qrblzdc52vqw9jaszmip0yr1lv7rzwyl6mpg"))))
10416 (build-system r-build-system)
10417 (propagated-inputs
10418 (list r-bh
10419 r-biocparallel
10420 r-data-table
10421 r-fastmatch
10422 r-ggplot2
10423 r-gridextra
10424 r-matrix
10425 r-rcpp))
10426 (native-inputs
10427 (list r-knitr))
10428 (home-page "https://github.com/ctlab/fgsea/")
10429 (synopsis "Fast gene set enrichment analysis")
10430 (description
10431 "The package implements an algorithm for fast gene set enrichment
10432 analysis. Using the fast algorithm makes more permutations and gets
10433 more fine grained p-values, which allows using accurate standard approaches
10434 to multiple hypothesis correction.")
10435 (license license:expat)))
10436
10437 (define-public r-dose
10438 (package
10439 (name "r-dose")
10440 (version "3.22.1")
10441 (source
10442 (origin
10443 (method url-fetch)
10444 (uri (bioconductor-uri "DOSE" version))
10445 (sha256
10446 (base32
10447 "1mch26kddrhhzgi4bssnyy7bvdhprrncmvxl6zn1cq7g07p5765i"))))
10448 (properties `((upstream-name . "DOSE")))
10449 (build-system r-build-system)
10450 (propagated-inputs
10451 (list r-annotationdbi
10452 r-biocparallel
10453 r-do-db
10454 r-fgsea
10455 r-ggplot2
10456 r-gosemsim
10457 r-qvalue
10458 r-reshape2))
10459 (native-inputs
10460 (list r-knitr))
10461 (home-page "https://guangchuangyu.github.io/software/DOSE/")
10462 (synopsis "Disease ontology semantic and enrichment analysis")
10463 (description
10464 "This package implements five methods proposed by Resnik, Schlicker,
10465 Jiang, Lin and Wang, respectively, for measuring semantic similarities among
10466 @dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses
10467 including hypergeometric model and gene set enrichment analysis are also
10468 implemented for discovering disease associations of high-throughput biological
10469 data.")
10470 (license license:artistic2.0)))
10471
10472 (define-public r-enrichplot
10473 (package
10474 (name "r-enrichplot")
10475 (version "1.16.2")
10476 (source
10477 (origin
10478 (method url-fetch)
10479 (uri (bioconductor-uri "enrichplot" version))
10480 (sha256
10481 (base32
10482 "0qh7bci3rn6y2fl45izrdb62jcm6j0zxxg4pyp4mvvgjvka5lnss"))))
10483 (build-system r-build-system)
10484 (propagated-inputs
10485 (list r-aplot
10486 r-dose
10487 r-ggplot2
10488 r-ggraph
10489 r-ggtree
10490 r-gosemsim
10491 r-igraph
10492 r-magrittr
10493 r-plyr
10494 r-purrr
10495 r-rcolorbrewer
10496 r-reshape2
10497 r-scatterpie
10498 r-shadowtext
10499 r-yulab-utils))
10500 (native-inputs
10501 (list r-knitr))
10502 (home-page "https://github.com/GuangchuangYu/enrichplot")
10503 (synopsis "Visualization of functional enrichment result")
10504 (description
10505 "The enrichplot package implements several visualization methods for
10506 interpreting functional enrichment results obtained from ORA or GSEA analyses.
10507 All the visualization methods are developed based on ggplot2 graphics.")
10508 (license license:artistic2.0)))
10509
10510 (define-public r-clusterprofiler
10511 (package
10512 (name "r-clusterprofiler")
10513 (version "4.4.4")
10514 (source
10515 (origin
10516 (method url-fetch)
10517 (uri (bioconductor-uri "clusterProfiler" version))
10518 (sha256
10519 (base32
10520 "0k5jhry0j6wa7779n3hrw4ld4bvyahpgpbwi2a0g704m3dd3mqp5"))))
10521 (properties
10522 `((upstream-name . "clusterProfiler")))
10523 (build-system r-build-system)
10524 (propagated-inputs
10525 (list r-annotationdbi
10526 r-dose
10527 r-downloader
10528 r-dplyr
10529 r-enrichplot
10530 r-go-db
10531 r-gosemsim
10532 r-magrittr
10533 r-plyr
10534 r-qvalue
10535 r-rlang
10536 r-tidyr
10537 r-yulab-utils))
10538 (native-inputs
10539 (list r-knitr))
10540 (home-page "https://guangchuangyu.github.io/software/clusterProfiler/")
10541 (synopsis "Analysis and visualization of functional profiles for gene clusters")
10542 (description
10543 "This package implements methods to analyze and visualize functional
10544 profiles (GO and KEGG) of gene and gene clusters.")
10545 (license license:artistic2.0)))
10546
10547 (define-public r-clusterexperiment
10548 (package
10549 (name "r-clusterexperiment")
10550 (version "2.16.0")
10551 (source (origin
10552 (method url-fetch)
10553 (uri (bioconductor-uri "clusterExperiment" version))
10554 (sha256
10555 (base32
10556 "1xd2kxmdg51hhj0zvz7pxmpdvb1sya7prsf9ny2wj2y8ivrqgn4f"))))
10557 (build-system r-build-system)
10558 (native-inputs
10559 (list r-knitr))
10560 (propagated-inputs
10561 (list r-ape
10562 r-biocgenerics
10563 r-biocsingular
10564 r-cluster
10565 r-delayedarray
10566 r-edger
10567 r-hdf5array
10568 r-howmany
10569 r-kernlab
10570 r-limma
10571 r-locfdr
10572 r-matrix
10573 r-matrixstats
10574 r-mbkmeans
10575 r-nmf
10576 r-phylobase
10577 r-pracma
10578 r-rcolorbrewer
10579 r-rcpp
10580 r-s4vectors
10581 r-scales
10582 r-singlecellexperiment
10583 r-stringr
10584 r-summarizedexperiment
10585 r-zinbwave))
10586 (home-page "https://bioconductor.org/packages/clusterExperiment/")
10587 (synopsis "Compare clusterings for single-cell sequencing")
10588 (description "This package provides functionality for running and comparing
10589 many different clusterings of single-cell sequencing data or other large mRNA
10590 expression data sets.")
10591 (license license:artistic2.0)))
10592
10593 (define-public r-mlinterfaces
10594 (package
10595 (name "r-mlinterfaces")
10596 (version "1.76.0")
10597 (source
10598 (origin
10599 (method url-fetch)
10600 (uri (bioconductor-uri "MLInterfaces" version))
10601 (sha256
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10604 (properties `((upstream-name . "MLInterfaces")))
10605 (build-system r-build-system)
10606 (propagated-inputs
10607 (list r-annotate
10608 r-biobase
10609 r-biocgenerics
10610 r-cluster
10611 r-fpc
10612 r-gbm
10613 r-gdata
10614 r-genefilter
10615 r-ggvis
10616 r-hwriter
10617 r-magrittr
10618 r-mass
10619 r-mlbench
10620 r-pls
10621 r-rcolorbrewer
10622 r-rcpp
10623 r-rpart
10624 r-sfsmisc
10625 r-shiny
10626 r-threejs))
10627 (home-page "https://bioconductor.org/packages/MLInterfaces/")
10628 (synopsis "Interfaces to R machine learning procedures")
10629 (description
10630 "This package provides uniform interfaces to machine learning code for
10631 data in R and Bioconductor containers.")
10632 ;; Any version of the LGPL.
10633 (license license:lgpl2.1+)))
10634
10635 (define-public r-annaffy
10636 (package
10637 (name "r-annaffy")
10638 (version "1.68.0")
10639 (source
10640 (origin
10641 (method url-fetch)
10642 (uri (bioconductor-uri "annaffy" version))
10643 (sha256
10644 (base32
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10646 (build-system r-build-system)
10647 (arguments
10648 `(#:phases
10649 (modify-phases %standard-phases
10650 (add-after 'unpack 'remove-reference-to-non-free-data
10651 (lambda _
10652 (substitute* "DESCRIPTION"
10653 ((", KEGG.db") "")))))))
10654 (propagated-inputs
10655 (list r-annotationdbi r-biobase r-biocmanager r-dbi r-go-db))
10656 (home-page "https://bioconductor.org/packages/annaffy/")
10657 (synopsis "Annotation tools for Affymetrix biological metadata")
10658 (description
10659 "This package provides functions for handling data from Bioconductor
10660 Affymetrix annotation data packages. It produces compact HTML and text
10661 reports including experimental data and URL links to many online databases.
10662 It allows searching of biological metadata using various criteria.")
10663 ;; Any version of the LGPL according to the DESCRIPTION file. A copy of
10664 ;; the LGPL 2.1 is included.
10665 (license license:lgpl2.1+)))
10666
10667 (define-public r-a4core
10668 (package
10669 (name "r-a4core")
10670 (version "1.44.0")
10671 (source
10672 (origin
10673 (method url-fetch)
10674 (uri (bioconductor-uri "a4Core" version))
10675 (sha256
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10678 (properties `((upstream-name . "a4Core")))
10679 (build-system r-build-system)
10680 (propagated-inputs
10681 (list r-biobase r-glmnet))
10682 (native-inputs
10683 (list r-knitr))
10684 (home-page "https://bioconductor.org/packages/a4Core")
10685 (synopsis "Automated Affymetrix array analysis core package")
10686 (description
10687 "This is the core package for the automated analysis of Affymetrix
10688 arrays.")
10689 (license license:gpl3)))
10690
10691 (define-public r-a4classif
10692 (package
10693 (name "r-a4classif")
10694 (version "1.44.0")
10695 (source
10696 (origin
10697 (method url-fetch)
10698 (uri (bioconductor-uri "a4Classif" version))
10699 (sha256
10700 (base32
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10702 (properties `((upstream-name . "a4Classif")))
10703 (build-system r-build-system)
10704 (propagated-inputs
10705 (list r-a4core
10706 r-a4preproc
10707 r-biobase
10708 r-glmnet
10709 r-pamr
10710 r-rocr
10711 r-varselrf))
10712 (native-inputs
10713 (list r-knitr))
10714 (home-page "https://bioconductor.org/packages/a4Classif/")
10715 (synopsis "Automated Affymetrix array analysis classification package")
10716 (description
10717 "This is the classification package for the automated analysis of
10718 Affymetrix arrays.")
10719 (license license:gpl3)))
10720
10721 (define-public r-a4preproc
10722 (package
10723 (name "r-a4preproc")
10724 (version "1.44.0")
10725 (source
10726 (origin
10727 (method url-fetch)
10728 (uri (bioconductor-uri "a4Preproc" version))
10729 (sha256
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10732 (properties `((upstream-name . "a4Preproc")))
10733 (build-system r-build-system)
10734 (propagated-inputs
10735 (list r-biobase r-biocgenerics))
10736 (native-inputs
10737 (list r-knitr))
10738 (home-page "https://bioconductor.org/packages/a4Preproc/")
10739 (synopsis "Automated Affymetrix array analysis preprocessing package")
10740 (description
10741 "This is a package for the automated analysis of Affymetrix arrays. It
10742 is used for preprocessing the arrays.")
10743 (license license:gpl3)))
10744
10745 (define-public r-a4reporting
10746 (package
10747 (name "r-a4reporting")
10748 (version "1.44.0")
10749 (source
10750 (origin
10751 (method url-fetch)
10752 (uri (bioconductor-uri "a4Reporting" version))
10753 (sha256
10754 (base32
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10756 (properties `((upstream-name . "a4Reporting")))
10757 (build-system r-build-system)
10758 (propagated-inputs
10759 (list r-xtable))
10760 (native-inputs
10761 (list r-knitr))
10762 (home-page "https://bioconductor.org/packages/a4Reporting/")
10763 (synopsis "Automated Affymetrix array analysis reporting package")
10764 (description
10765 "This is a package for the automated analysis of Affymetrix arrays. It
10766 provides reporting features.")
10767 (license license:gpl3)))
10768
10769 (define-public r-a4base
10770 (package
10771 (name "r-a4base")
10772 (version "1.44.0")
10773 (source
10774 (origin
10775 (method url-fetch)
10776 (uri (bioconductor-uri "a4Base" version))
10777 (sha256
10778 (base32
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10780 (properties `((upstream-name . "a4Base")))
10781 (build-system r-build-system)
10782 (propagated-inputs
10783 (list r-a4core
10784 r-a4preproc
10785 r-annaffy
10786 r-biobase
10787 r-genefilter
10788 r-glmnet
10789 r-gplots
10790 r-limma
10791 r-mpm
10792 r-multtest))
10793 (home-page "https://bioconductor.org/packages/a4Base/")
10794 (synopsis "Automated Affymetrix array analysis base package")
10795 (description
10796 "This package provides basic features for the automated analysis of
10797 Affymetrix arrays.")
10798 (license license:gpl3)))
10799
10800 (define-public r-a4
10801 (package
10802 (name "r-a4")
10803 (version "1.44.0")
10804 (source
10805 (origin
10806 (method url-fetch)
10807 (uri (bioconductor-uri "a4" version))
10808 (sha256
10809 (base32
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10811 (build-system r-build-system)
10812 (propagated-inputs
10813 (list r-a4base r-a4classif r-a4core r-a4preproc r-a4reporting))
10814 (home-page "https://bioconductor.org/packages/a4/")
10815 (synopsis "Automated Affymetrix array analysis umbrella package")
10816 (description
10817 "This package provides a software suite for the automated analysis of
10818 Affymetrix arrays.")
10819 (license license:gpl3)))
10820
10821 (define-public r-abseqr
10822 (package
10823 (name "r-abseqr")
10824 (version "1.14.0")
10825 (source
10826 (origin
10827 (method url-fetch)
10828 (uri (bioconductor-uri "abseqR" version))
10829 (sha256
10830 (base32
10831 "0jh3rj6ag07vpw6fymqm6m4jkrm9mgf50zkjncahxdf52mna8a9b"))))
10832 (properties `((upstream-name . "abseqR")))
10833 (build-system r-build-system)
10834 (inputs
10835 (list pandoc))
10836 (propagated-inputs
10837 (list r-biocparallel
10838 r-biocstyle
10839 r-circlize
10840 r-flexdashboard
10841 r-ggcorrplot
10842 r-ggdendro
10843 r-ggplot2
10844 r-gridextra
10845 r-knitr
10846 r-plotly
10847 r-plyr
10848 r-png
10849 r-rcolorbrewer
10850 r-reshape2
10851 r-rmarkdown
10852 r-stringr
10853 r-vegan
10854 r-venndiagram))
10855 (native-inputs
10856 (list r-knitr))
10857 (home-page "https://github.com/malhamdoosh/abseqR")
10858 (synopsis "Reporting and data analysis for Rep-Seq datasets of antibody libraries")
10859 (description
10860 "AbSeq is a comprehensive bioinformatic pipeline for the analysis of
10861 sequencing datasets generated from antibody libraries and abseqR is one of its
10862 packages. AbseqR empowers the users of abseqPy with plotting and reporting
10863 capabilities and allows them to generate interactive HTML reports for the
10864 convenience of viewing and sharing with other researchers. Additionally,
10865 abseqR extends abseqPy to compare multiple repertoire analyses and perform
10866 further downstream analysis on its output.")
10867 (license license:gpl3)))
10868
10869 (define-public r-bacon
10870 (package
10871 (name "r-bacon")
10872 (version "1.24.0")
10873 (source
10874 (origin
10875 (method url-fetch)
10876 (uri (bioconductor-uri "bacon" version))
10877 (sha256
10878 (base32
10879 "1zvcxdj3r892898ik5gq3jdbfig1438qws4bwd465ik8vi7g39v8"))))
10880 (build-system r-build-system)
10881 (propagated-inputs
10882 (list r-biocparallel r-ellipse r-ggplot2))
10883 (native-inputs
10884 (list r-knitr))
10885 (home-page "https://bioconductor.org/packages/bacon/")
10886 (synopsis "Controlling bias and inflation in association studies")
10887 (description
10888 "Bacon can be used to remove inflation and bias often observed in
10889 epigenome- and transcriptome-wide association studies. To this end bacon
10890 constructs an empirical null distribution using a Gibbs Sampling algorithm by
10891 fitting a three-component normal mixture on z-scores.")
10892 (license license:gpl2+)))
10893
10894 (define-public r-rgadem
10895 (package
10896 (name "r-rgadem")
10897 (version "2.44.1")
10898 (source
10899 (origin
10900 (method url-fetch)
10901 (uri (bioconductor-uri "rGADEM" version))
10902 (sha256
10903 (base32
10904 "052z9iavnmkaz9jzz7ycpb8z7qqq3s5k6a04icrwl00wff7zqa2q"))))
10905 (properties `((upstream-name . "rGADEM")))
10906 (build-system r-build-system)
10907 (propagated-inputs
10908 (list r-biostrings r-bsgenome r-genomicranges r-iranges r-seqlogo))
10909 (home-page "https://bioconductor.org/packages/rGADEM/")
10910 (synopsis "De novo sequence motif discovery")
10911 (description
10912 "rGADEM is an efficient de novo motif discovery tool for large-scale
10913 genomic sequence data.")
10914 (license license:artistic2.0)))
10915
10916 (define-public r-motiv
10917 (package
10918 (name "r-motiv")
10919 (version "1.43.0")
10920 (source
10921 (origin
10922 (method url-fetch)
10923 (uri (bioconductor-uri "MotIV" version))
10924 (sha256
10925 (base32
10926 "1yqqymcrnwlpv6h3w80yliv19922g32xqlqszaqjk6zp853qilh6"))))
10927 (properties `((upstream-name . "MotIV")))
10928 (build-system r-build-system)
10929 (inputs
10930 (list gsl))
10931 (propagated-inputs
10932 (list r-biocgenerics
10933 r-biostrings
10934 r-genomicranges
10935 r-iranges
10936 r-lattice
10937 r-rgadem
10938 r-s4vectors))
10939 (home-page "https://bioconductor.org/packages/MotIV/")
10940 (synopsis "Motif identification and validation")
10941 (description
10942 "This package is used for the identification and validation of sequence
10943 motifs. It makes use of STAMP for comparing a set of motifs to a given
10944 database (e.g. JASPAR). It can also be used to visualize motifs, motif
10945 distributions, modules and filter motifs.")
10946 (license license:gpl2)))
10947
10948 (define-public r-motifdb
10949 (package
10950 (name "r-motifdb")
10951 (version "1.38.0")
10952 (source (origin
10953 (method url-fetch)
10954 (uri (bioconductor-uri "MotifDb" version))
10955 (sha256
10956 (base32 "1cyfz0l0yvdii3idaiq5w39yzxlzfpifa4v5pv7hdjfjj83a8rbi"))))
10957 (properties `((upstream-name . "MotifDb")))
10958 (build-system r-build-system)
10959 (propagated-inputs
10960 (list r-biocgenerics
10961 r-biostrings
10962 r-genomicranges
10963 r-iranges
10964 r-rtracklayer
10965 r-s4vectors
10966 r-splitstackshape))
10967 (native-inputs
10968 (list r-knitr))
10969 (home-page "https://www.bioconductor.org/packages/MotifDb/")
10970 (synopsis "Annotated collection of protein-DNA binding sequence motifs")
10971 (description "This package provides more than 2000 annotated position
10972 frequency matrices from nine public sources, for multiple organisms.")
10973 (license license:artistic2.0)))
10974
10975 (define-public r-motifbreakr
10976 (package
10977 (name "r-motifbreakr")
10978 (version "2.10.0")
10979 (source (origin
10980 (method url-fetch)
10981 (uri (bioconductor-uri "motifbreakR" version))
10982 (sha256
10983 (base32 "0sad73jjx52qzp1fmygp6xqvaxwl5szi69f00f94i1pdyq70qhlg"))))
10984 (properties `((upstream-name . "motifbreakR")))
10985 (build-system r-build-system)
10986 (propagated-inputs
10987 (list r-biocgenerics
10988 r-biocparallel
10989 r-biostrings
10990 r-bsgenome
10991 r-genomeinfodb
10992 r-genomicranges
10993 r-gviz
10994 r-iranges
10995 r-matrixstats
10996 r-motifdb
10997 r-motifstack
10998 r-rtracklayer
10999 r-s4vectors
11000 r-stringr
11001 r-summarizedexperiment
11002 r-tfmpvalue
11003 r-variantannotation))
11004 (native-inputs
11005 (list r-knitr))
11006 (home-page "https://www.bioconductor.org/packages/motifbreakR/")
11007 (synopsis "Predicting disruptiveness of single nucleotide polymorphisms")
11008 (description "This package allows biologists to judge in the first place
11009 whether the sequence surrounding the polymorphism is a good match, and in
11010 the second place how much information is gained or lost in one allele of
11011 the polymorphism relative to another. This package gives a choice of
11012 algorithms for interrogation of genomes with motifs from public sources:
11013 @enumerate
11014 @item a weighted-sum probability matrix;
11015 @item log-probabilities;
11016 @item weighted by relative entropy.
11017 @end enumerate
11018
11019 This package can predict effects for novel or previously described variants in
11020 public databases, making it suitable for tasks beyond the scope of its original
11021 design. Lastly, it can be used to interrogate any genome curated within
11022 Bioconductor.")
11023 (license license:gpl2+)))
11024
11025 (define-public r-motifstack
11026 (package
11027 (name "r-motifstack")
11028 (version "1.40.0")
11029 (source
11030 (origin
11031 (method url-fetch)
11032 (uri (bioconductor-uri "motifStack" version))
11033 (sha256
11034 (base32
11035 "0d2ihx73chczbv6f91n04qb372plrdv7k4qws8shyw1fmvb1rq0z"))))
11036 (properties `((upstream-name . "motifStack")))
11037 (build-system r-build-system)
11038 (propagated-inputs
11039 (list r-ade4
11040 r-biostrings
11041 r-ggplot2
11042 r-htmlwidgets
11043 r-tfbstools
11044 r-xml))
11045 (native-inputs
11046 (list r-knitr))
11047 (home-page "https://bioconductor.org/packages/motifStack/")
11048 (synopsis "Plot stacked logos for DNA, RNA and amino acid sequences")
11049 (description
11050 "The motifStack package is designed for graphic representation of
11051 multiple motifs with different similarity scores. It works with both DNA/RNA
11052 sequence motifs and amino acid sequence motifs. In addition, it provides the
11053 flexibility for users to customize the graphic parameters such as the font
11054 type and symbol colors.")
11055 (license license:gpl2+)))
11056
11057 (define-public r-genomicscores
11058 (package
11059 (name "r-genomicscores")
11060 (version "2.8.2")
11061 (source
11062 (origin
11063 (method url-fetch)
11064 (uri (bioconductor-uri "GenomicScores" version))
11065 (sha256
11066 (base32
11067 "12rcxw69an1d5q7ar58xy8s871l47imw2nm08j054ivxslx8597j"))))
11068 (properties `((upstream-name . "GenomicScores")))
11069 (build-system r-build-system)
11070 (propagated-inputs
11071 (list r-annotationhub
11072 r-biobase
11073 r-biocfilecache
11074 r-biocgenerics
11075 r-biocmanager
11076 r-biostrings
11077 r-delayedarray
11078 r-genomeinfodb
11079 r-genomicranges
11080 r-hdf5array
11081 r-httr
11082 r-iranges
11083 r-rhdf5
11084 r-s4vectors
11085 r-xml))
11086 (native-inputs
11087 (list r-knitr))
11088 (home-page "https://github.com/rcastelo/GenomicScores/")
11089 (synopsis "Work with genome-wide position-specific scores")
11090 (description
11091 "This package provides infrastructure to store and access genome-wide
11092 position-specific scores within R and Bioconductor.")
11093 (license license:artistic2.0)))
11094
11095 (define-public r-atacseqqc
11096 (package
11097 (name "r-atacseqqc")
11098 (version "1.20.2")
11099 (source
11100 (origin
11101 (method url-fetch)
11102 (uri (bioconductor-uri "ATACseqQC" version))
11103 (sha256
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11106 (properties `((upstream-name . "ATACseqQC")))
11107 (build-system r-build-system)
11108 (propagated-inputs
11109 (list r-biocgenerics
11110 r-biostrings
11111 r-bsgenome
11112 r-chippeakanno
11113 r-edger
11114 r-genomeinfodb
11115 r-genomicalignments
11116 r-genomicranges
11117 r-genomicscores
11118 r-iranges
11119 r-kernsmooth
11120 r-limma
11121 r-motifstack
11122 r-preseqr
11123 r-randomforest
11124 r-rsamtools
11125 r-rtracklayer
11126 r-s4vectors))
11127 (native-inputs
11128 (list r-knitr))
11129 (home-page "https://bioconductor.org/packages/ATACseqQC/")
11130 (synopsis "ATAC-seq quality control")
11131 (description
11132 "ATAC-seq, an assay for Transposase-Accessible Chromatin using
11133 sequencing, is a rapid and sensitive method for chromatin accessibility
11134 analysis. It was developed as an alternative method to MNase-seq, FAIRE-seq
11135 and DNAse-seq. The ATACseqQC package was developed to help users to quickly
11136 assess whether their ATAC-seq experiment is successful. It includes
11137 diagnostic plots of fragment size distribution, proportion of mitochondria
11138 reads, nucleosome positioning pattern, and CTCF or other Transcript Factor
11139 footprints.")
11140 (license license:gpl2+)))
11141
11142 (define-public r-gofuncr
11143 (package
11144 (name "r-gofuncr")
11145 (version "1.16.0")
11146 (source
11147 (origin
11148 (method url-fetch)
11149 (uri (bioconductor-uri "GOfuncR" version))
11150 (sha256
11151 (base32
11152 "02vdfsjrqp0m06mfbspwkxjyqxfca0w1idgygpi1a9i5m4fqhwpk"))))
11153 (properties `((upstream-name . "GOfuncR")))
11154 (build-system r-build-system)
11155 (propagated-inputs
11156 (list r-annotationdbi
11157 r-genomicranges
11158 r-gtools
11159 r-iranges
11160 r-mapplots
11161 r-rcpp
11162 r-vioplot))
11163 (native-inputs
11164 (list r-knitr))
11165 (home-page "https://bioconductor.org/packages/GOfuncR/")
11166 (synopsis "Gene ontology enrichment using FUNC")
11167 (description
11168 "GOfuncR performs a gene ontology enrichment analysis based on the
11169 ontology enrichment software FUNC. GO-annotations are obtained from
11170 OrganismDb or OrgDb packages (@code{Homo.sapiens} by default); the GO-graph is
11171 included in the package and updated regularly. GOfuncR provides the standard
11172 candidate vs background enrichment analysis using the hypergeometric test, as
11173 well as three additional tests:
11174
11175 @enumerate
11176 @item the Wilcoxon rank-sum test that is used when genes are ranked,
11177 @item a binomial test that is used when genes are associated with two counts,
11178 and
11179 @item a Chi-square or Fisher's exact test that is used in cases when genes are
11180 associated with four counts.
11181 @end enumerate
11182
11183 To correct for multiple testing and interdependency of the tests, family-wise
11184 error rates are computed based on random permutations of the gene-associated
11185 variables. GOfuncR also provides tools for exploring the ontology graph and
11186 the annotations, and options to take gene-length or spatial clustering of
11187 genes into account. It is also possible to provide custom gene coordinates,
11188 annotations and ontologies.")
11189 (license license:gpl2+)))
11190
11191 (define-public r-abaenrichment
11192 (package
11193 (name "r-abaenrichment")
11194 (version "1.24.0")
11195 (source
11196 (origin
11197 (method url-fetch)
11198 (uri (bioconductor-uri "ABAEnrichment" version))
11199 (sha256
11200 (base32
11201 "1sp3f72rzlr822dxx42bswynrwwfx6f520hdhfdikqp13p2y4044"))))
11202 (properties `((upstream-name . "ABAEnrichment")))
11203 (build-system r-build-system)
11204 (propagated-inputs
11205 (list r-abadata
11206 r-data-table
11207 r-gofuncr
11208 r-gplots
11209 r-gtools
11210 r-rcpp))
11211 (native-inputs
11212 (list r-knitr))
11213 (home-page "https://bioconductor.org/packages/ABAEnrichment/")
11214 (synopsis "Gene expression enrichment in human brain regions")
11215 (description
11216 "The package ABAEnrichment is designed to test for enrichment of user
11217 defined candidate genes in the set of expressed genes in different human brain
11218 regions. The core function @code{aba_enrich} integrates the expression of the
11219 candidate gene set (averaged across donors) and the structural information of
11220 the brain using an ontology, both provided by the Allen Brain Atlas project.")
11221 (license license:gpl2+)))
11222
11223 (define-public r-annotationfuncs
11224 (package
11225 (name "r-annotationfuncs")
11226 (version "1.40.0")
11227 (source
11228 (origin
11229 (method url-fetch)
11230 (uri (bioconductor-uri "AnnotationFuncs" version))
11231 (sha256
11232 (base32
11233 "0xsm7741zm81bi4c9hy0zaacnk8a6bahdpc6srqzrbsz0pfzdyhr"))))
11234 (properties
11235 `((upstream-name . "AnnotationFuncs")))
11236 (build-system r-build-system)
11237 (propagated-inputs
11238 (list r-annotationdbi r-dbi))
11239 (home-page "https://www.iysik.com/r/annotationfuncs")
11240 (synopsis "Annotation translation functions")
11241 (description
11242 "This package provides functions for handling translating between
11243 different identifieres using the Biocore Data Team data-packages (e.g.
11244 @code{org.Bt.eg.db}).")
11245 (license license:gpl2)))
11246
11247 (define-public r-annotationtools
11248 (package
11249 (name "r-annotationtools")
11250 (version "1.70.0")
11251 (source
11252 (origin
11253 (method url-fetch)
11254 (uri (bioconductor-uri "annotationTools" version))
11255 (sha256
11256 (base32
11257 "122b424zida3j0vqkn8d06sg3jpc3ngsgidr8kgg00n4cjngkc51"))))
11258 (properties
11259 `((upstream-name . "annotationTools")))
11260 (build-system r-build-system)
11261 (propagated-inputs (list r-biobase))
11262 (home-page "https://bioconductor.org/packages/annotationTools/")
11263 (synopsis "Annotate microarrays and perform gene expression analyses")
11264 (description
11265 "This package provides functions to annotate microarrays, find orthologs,
11266 and integrate heterogeneous gene expression profiles using annotation and
11267 other molecular biology information available as flat file database (plain
11268 text files).")
11269 ;; Any version of the GPL.
11270 (license (list license:gpl2+))))
11271
11272 (define-public r-allelicimbalance
11273 (package
11274 (name "r-allelicimbalance")
11275 (version "1.34.0")
11276 (source
11277 (origin
11278 (method url-fetch)
11279 (uri (bioconductor-uri "AllelicImbalance" version))
11280 (sha256
11281 (base32
11282 "0w4xd0xzkwx7bbhrgqligpahlhg85rginknx520z891r8v0bim2z"))))
11283 (properties
11284 `((upstream-name . "AllelicImbalance")))
11285 (build-system r-build-system)
11286 (propagated-inputs
11287 (list r-annotationdbi
11288 r-biocgenerics
11289 r-biostrings
11290 r-bsgenome
11291 r-genomeinfodb
11292 r-genomicalignments
11293 r-genomicfeatures
11294 r-genomicranges
11295 r-gridextra
11296 r-gviz
11297 r-iranges
11298 r-lattice
11299 r-latticeextra
11300 r-nlme
11301 r-rsamtools
11302 r-s4vectors
11303 r-seqinr
11304 r-summarizedexperiment
11305 r-variantannotation))
11306 (native-inputs
11307 (list r-knitr))
11308 (home-page "https://github.com/pappewaio/AllelicImbalance")
11309 (synopsis "Investigate allele-specific expression")
11310 (description
11311 "This package provides a framework for allele-specific expression
11312 investigation using RNA-seq data.")
11313 (license license:gpl3)))
11314
11315 (define-public r-aucell
11316 (package
11317 (name "r-aucell")
11318 (version "1.18.1")
11319 (source
11320 (origin
11321 (method url-fetch)
11322 (uri (bioconductor-uri "AUCell" version))
11323 (sha256
11324 (base32
11325 "17wr7dycll0l1gax4w268qw7is163bs51rj6p1qnx1dgc9ibnsgr"))))
11326 (properties `((upstream-name . "AUCell")))
11327 (build-system r-build-system)
11328 (propagated-inputs
11329 (list r-biocgenerics
11330 r-data-table
11331 r-delayedarray
11332 r-delayedmatrixstats
11333 r-gseabase
11334 r-mixtools
11335 r-r-utils
11336 r-shiny
11337 r-summarizedexperiment))
11338 (native-inputs
11339 (list r-knitr))
11340 (home-page "https://bioconductor.org/packages/AUCell/")
11341 (synopsis "Analysis of gene set activity in single-cell RNA-seq data")
11342 (description
11343 "AUCell identifies cells with active gene sets (e.g. signatures,
11344 gene modules, etc) in single-cell RNA-seq data. AUCell uses the @dfn{Area
11345 Under the Curve} (AUC) to calculate whether a critical subset of the input
11346 gene set is enriched within the expressed genes for each cell. The
11347 distribution of AUC scores across all the cells allows exploring the relative
11348 expression of the signature. Since the scoring method is ranking-based,
11349 AUCell is independent of the gene expression units and the normalization
11350 procedure. In addition, since the cells are evaluated individually, it can
11351 easily be applied to bigger datasets, subsetting the expression matrix if
11352 needed.")
11353 (license license:gpl3)))
11354
11355 (define-public r-ebimage
11356 (package
11357 (name "r-ebimage")
11358 (version "4.38.0")
11359 (source
11360 (origin
11361 (method url-fetch)
11362 (uri (bioconductor-uri "EBImage" version))
11363 (sha256
11364 (base32
11365 "1vcx45bw36k9daw9dywj5bz77jmqk4gjfwsym8ajjnc1jmlq20si"))))
11366 (properties `((upstream-name . "EBImage")))
11367 (build-system r-build-system)
11368 (propagated-inputs
11369 (list r-abind
11370 r-biocgenerics
11371 r-fftwtools
11372 r-htmltools
11373 r-htmlwidgets
11374 r-jpeg
11375 r-locfit
11376 r-png
11377 r-rcurl
11378 r-tiff))
11379 (native-inputs
11380 (list r-knitr)) ; for vignettes
11381 (home-page "https://github.com/aoles/EBImage")
11382 (synopsis "Image processing and analysis toolbox for R")
11383 (description
11384 "EBImage provides general purpose functionality for image processing and
11385 analysis. In the context of (high-throughput) microscopy-based cellular
11386 assays, EBImage offers tools to segment cells and extract quantitative
11387 cellular descriptors. This allows the automation of such tasks using the R
11388 programming language and facilitates the use of other tools in the R
11389 environment for signal processing, statistical modeling, machine learning and
11390 visualization with image data.")
11391 ;; Any version of the LGPL.
11392 (license license:lgpl2.1+)))
11393
11394 (define-public r-yamss
11395 (package
11396 (name "r-yamss")
11397 (version "1.22.0")
11398 (source
11399 (origin
11400 (method url-fetch)
11401 (uri (bioconductor-uri "yamss" version))
11402 (sha256
11403 (base32
11404 "1lcfxw73cxvpy3bnq28pxdy5128mpq5xklsa0mzxdjyqc4g55hy8"))))
11405 (build-system r-build-system)
11406 (propagated-inputs
11407 (list r-biocgenerics
11408 r-data-table
11409 r-ebimage
11410 r-iranges
11411 r-limma
11412 r-matrix
11413 r-mzr
11414 r-s4vectors
11415 r-summarizedexperiment))
11416 (native-inputs
11417 (list r-knitr))
11418 (home-page "https://github.com/hansenlab/yamss")
11419 (synopsis "Tools for high-throughput metabolomics")
11420 (description
11421 "This package provides tools to analyze and visualize high-throughput
11422 metabolomics data acquired using chromatography-mass spectrometry. These tools
11423 preprocess data in a way that enables reliable and powerful differential
11424 analysis.")
11425 (license license:artistic2.0)))
11426
11427 (define-public r-gtrellis
11428 (package
11429 (name "r-gtrellis")
11430 (version "1.28.0")
11431 (source
11432 (origin
11433 (method url-fetch)
11434 (uri (bioconductor-uri "gtrellis" version))
11435 (sha256
11436 (base32
11437 "1s4xczzv6hz2kyv32xgcq84540w75qr3f644w1s4c3kwxgyq2gff"))))
11438 (build-system r-build-system)
11439 (propagated-inputs
11440 (list r-circlize r-genomicranges r-getoptlong r-iranges))
11441 (native-inputs
11442 (list r-knitr))
11443 (home-page "https://github.com/jokergoo/gtrellis")
11444 (synopsis "Genome level Trellis layout")
11445 (description
11446 "Genome level Trellis graph visualizes genomic data conditioned by
11447 genomic categories (e.g. chromosomes). For each genomic category, multiple
11448 dimensional data which are represented as tracks describe different features
11449 from different aspects. This package provides high flexibility to arrange
11450 genomic categories and to add self-defined graphics in the plot.")
11451 (license license:expat)))
11452
11453 (define-public r-somaticsignatures
11454 (package
11455 (name "r-somaticsignatures")
11456 (version "2.32.0")
11457 (source
11458 (origin
11459 (method url-fetch)
11460 (uri (bioconductor-uri "SomaticSignatures" version))
11461 (sha256
11462 (base32
11463 "1ydnp54laznzpi08s403kxhnr5nqhvm3iilaxlcdlz0ngxhm6vx6"))))
11464 (properties
11465 `((upstream-name . "SomaticSignatures")))
11466 (build-system r-build-system)
11467 (propagated-inputs
11468 (list r-biobase
11469 r-biostrings
11470 r-genomeinfodb
11471 r-genomicranges
11472 r-ggbio
11473 r-ggplot2
11474 r-iranges
11475 r-nmf
11476 r-pcamethods
11477 r-proxy
11478 r-reshape2
11479 r-s4vectors
11480 r-variantannotation))
11481 (native-inputs
11482 (list r-knitr))
11483 (home-page "https://github.com/juliangehring/SomaticSignatures")
11484 (synopsis "Somatic signatures")
11485 (description
11486 "This package identifies mutational signatures of @dfn{single nucleotide
11487 variants} (SNVs). It provides a infrastructure related to the methodology
11488 described in Nik-Zainal (2012, Cell), with flexibility in the matrix
11489 decomposition algorithms.")
11490 (license license:expat)))
11491
11492 (define-public r-yapsa
11493 (package
11494 (name "r-yapsa")
11495 (version "1.22.0")
11496 (source
11497 (origin
11498 (method url-fetch)
11499 (uri (bioconductor-uri "YAPSA" version))
11500 (sha256
11501 (base32
11502 "1klqfif4sadkxw7agywk2ncvcdqsnfb1d6adnacdfdasr8abvhid"))))
11503 (properties `((upstream-name . "YAPSA")))
11504 (build-system r-build-system)
11505 (propagated-inputs
11506 (list r-biostrings
11507 r-bsgenome-hsapiens-ucsc-hg19
11508 r-circlize
11509 r-complexheatmap
11510 r-corrplot
11511 r-dendextend
11512 r-doparallel
11513 r-dplyr
11514 r-genomeinfodb
11515 r-genomicranges
11516 r-getoptlong
11517 r-ggbeeswarm
11518 r-ggplot2
11519 r-gridextra
11520 r-gtrellis
11521 r-keggrest
11522 r-limsolve
11523 r-magrittr
11524 r-pmcmrplus
11525 r-pracma
11526 r-reshape2
11527 r-somaticsignatures
11528 r-variantannotation))
11529 (native-inputs
11530 (list r-knitr))
11531 (home-page "https://bioconductor.org/packages/YAPSA/")
11532 (synopsis "Yet another package for signature analysis")
11533 (description
11534 "This package provides functions and routines useful in the analysis of
11535 somatic signatures (cf. L. Alexandrov et al., Nature 2013). In particular,
11536 functions to perform a signature analysis with known signatures and a
11537 signature analysis on @dfn{stratified mutational catalogue} (SMC) are
11538 provided.")
11539 (license license:gpl3)))
11540
11541 (define-public r-gcrma
11542 (package
11543 (name "r-gcrma")
11544 (version "2.68.0")
11545 (source
11546 (origin
11547 (method url-fetch)
11548 (uri (bioconductor-uri "gcrma" version))
11549 (sha256
11550 (base32
11551 "13a8igr2b02gsa6n3437kb33wg6h7si82fmqi35dzpfzhvx0qf6d"))))
11552 (build-system r-build-system)
11553 (propagated-inputs
11554 (list r-affy
11555 r-affyio
11556 r-biobase
11557 r-biocmanager
11558 r-biostrings
11559 r-xvector))
11560 (home-page "https://bioconductor.org/packages/gcrma/")
11561 (synopsis "Background adjustment using sequence information")
11562 (description
11563 "Gcrma adjusts for background intensities in Affymetrix array data which
11564 include optical noise and @dfn{non-specific binding} (NSB). The main function
11565 @code{gcrma} converts background adjusted probe intensities to expression
11566 measures using the same normalization and summarization methods as a
11567 @dfn{Robust Multiarray Average} (RMA). Gcrma uses probe sequence information
11568 to estimate probe affinity to NSB. The sequence information is summarized in
11569 a more complex way than the simple GC content. Instead, the base types (A, T,
11570 G or C) at each position along the probe determine the affinity of each probe.
11571 The parameters of the position-specific base contributions to the probe
11572 affinity is estimated in an NSB experiment in which only NSB but no
11573 gene-specific binding is expected.")
11574 ;; Any version of the LGPL
11575 (license license:lgpl2.1+)))
11576
11577 (define-public r-simpleaffy
11578 (package
11579 (name "r-simpleaffy")
11580 (version "2.66.0")
11581 (source
11582 (origin
11583 (method url-fetch)
11584 (uri (bioconductor-uri "simpleaffy" version))
11585 (sha256
11586 (base32
11587 "04a11dsqd5y4b39nny94acnh0qhdazjc6d1803izza4vrgmw2csb"))))
11588 (build-system r-build-system)
11589 (propagated-inputs
11590 (list r-affy r-biobase r-biocgenerics r-gcrma r-genefilter))
11591 (home-page "https://bioconductor.org/packages/simpleaffy/")
11592 (synopsis "Very simple high level analysis of Affymetrix data")
11593 (description
11594 "This package provides high level functions for reading Affy @file{.CEL}
11595 files, phenotypic data, and then computing simple things with it, such as
11596 t-tests, fold changes and the like. It makes heavy use of the @code{affy}
11597 library. It also has some basic scatter plot functions and mechanisms for
11598 generating high resolution journal figures.")
11599 (license license:gpl2+)))
11600
11601 (define-public r-yaqcaffy
11602 (package
11603 (name "r-yaqcaffy")
11604 (version "1.50.0")
11605 (source
11606 (origin
11607 (method url-fetch)
11608 (uri (bioconductor-uri "yaqcaffy" version))
11609 (sha256
11610 (base32
11611 "18gphcjj15iivrahp52186bvdg07yd2dvrykfjdd4r1vyf33im96"))))
11612 (build-system r-build-system)
11613 (propagated-inputs
11614 (list r-simpleaffy))
11615 (home-page "https://bioconductor.org/packages/yaqcaffy/")
11616 (synopsis "Affymetrix quality control and reproducibility analysis")
11617 (description
11618 "This is a package that can be used for quality control of Affymetrix
11619 GeneChip expression data and reproducibility analysis of human whole genome
11620 chips with the MAQC reference datasets.")
11621 (license license:artistic2.0)))
11622
11623 (define-public r-quantro
11624 (package
11625 (name "r-quantro")
11626 (version "1.30.0")
11627 (source
11628 (origin
11629 (method url-fetch)
11630 (uri (bioconductor-uri "quantro" version))
11631 (sha256
11632 (base32
11633 "1zfrz7lxyrbf0c8d277npzj1h4six9whkqplvcjmn3li0xj5qng3"))))
11634 (build-system r-build-system)
11635 (propagated-inputs
11636 (list r-biobase
11637 r-doparallel
11638 r-foreach
11639 r-ggplot2
11640 r-iterators
11641 r-minfi
11642 r-rcolorbrewer))
11643 (native-inputs
11644 (list r-knitr))
11645 (home-page "https://bioconductor.org/packages/quantro/")
11646 (synopsis "Test for when to use quantile normalization")
11647 (description
11648 "This package provides a data-driven test for the assumptions of quantile
11649 normalization using raw data such as objects that inherit eSets (e.g.
11650 ExpressionSet, MethylSet). Group level information about each sample (such as
11651 Tumor / Normal status) must also be provided because the test assesses if
11652 there are global differences in the distributions between the user-defined
11653 groups.")
11654 (license license:gpl3+)))
11655
11656 (define-public r-yarn
11657 (package
11658 (name "r-yarn")
11659 (version "1.22.0")
11660 (source
11661 (origin
11662 (method url-fetch)
11663 (uri (bioconductor-uri "yarn" version))
11664 (sha256
11665 (base32
11666 "0z5202pqq02fwm8qf1g36004k7sv668s1xacbpr1cvw5sl452lbg"))))
11667 (build-system r-build-system)
11668 (propagated-inputs
11669 (list r-biobase
11670 r-biomart
11671 r-downloader
11672 r-edger
11673 r-gplots
11674 r-limma
11675 r-matrixstats
11676 r-preprocesscore
11677 r-quantro
11678 r-rcolorbrewer
11679 r-readr))
11680 (native-inputs
11681 (list r-knitr))
11682 (home-page "https://bioconductor.org/packages/yarn/")
11683 (synopsis "Robust multi-condition RNA-Seq preprocessing and normalization")
11684 (description
11685 "Expedite large RNA-Seq analyses using a combination of previously
11686 developed tools. YARN is meant to make it easier for the user in performing
11687 basic mis-annotation quality control, filtering, and condition-aware
11688 normalization. YARN leverages many Bioconductor tools and statistical
11689 techniques to account for the large heterogeneity and sparsity found in very
11690 large RNA-seq experiments.")
11691 (license license:artistic2.0)))
11692
11693 (define-public r-roar
11694 (package
11695 (name "r-roar")
11696 (version "1.32.0")
11697 (source
11698 (origin
11699 (method url-fetch)
11700 (uri (bioconductor-uri "roar" version))
11701 (sha256
11702 (base32
11703 "0zq1praf5h9294cvmrb06l3chx8v40xw2sfvhlnh1516x9sjkwfc"))))
11704 (build-system r-build-system)
11705 (propagated-inputs
11706 (list r-biocgenerics
11707 r-genomeinfodb
11708 r-genomicalignments
11709 r-genomicranges
11710 r-iranges
11711 r-rtracklayer
11712 r-s4vectors
11713 r-summarizedexperiment))
11714 (home-page "https://github.com/vodkatad/roar/")
11715 (synopsis "Identify differential APA usage from RNA-seq alignments")
11716 (description
11717 "This package provides tools for identifying preferential usage of APA
11718 sites, comparing two biological conditions, starting from known alternative
11719 sites and alignments obtained from standard RNA-seq experiments.")
11720 (license license:gpl3)))
11721
11722 (define-public r-xbseq
11723 (package
11724 (name "r-xbseq")
11725 (version "1.22.0")
11726 (source
11727 (origin
11728 (method url-fetch)
11729 (uri (bioconductor-uri "XBSeq" version))
11730 (sha256
11731 (base32
11732 "1dvk2jpsdynqw5071z54yd5j0ddprhc1ppk834cz9liibd72d7vz"))))
11733 (properties `((upstream-name . "XBSeq")))
11734 (build-system r-build-system)
11735 (propagated-inputs
11736 (list r-biobase
11737 r-deseq2
11738 r-dplyr
11739 r-ggplot2
11740 r-locfit
11741 r-magrittr
11742 r-matrixstats
11743 r-pracma
11744 r-roar))
11745 (native-inputs
11746 (list r-knitr))
11747 (home-page "https://github.com/Liuy12/XBSeq")
11748 (synopsis "Test for differential expression for RNA-seq data")
11749 (description
11750 "XBSeq is a novel algorithm for testing RNA-seq @dfn{differential
11751 expression} (DE), where a statistical model was established based on the
11752 assumption that observed signals are the convolution of true expression
11753 signals and sequencing noises. The mapped reads in non-exonic regions are
11754 considered as sequencing noises, which follows a Poisson distribution. Given
11755 measurable observed signal and background noise from RNA-seq data, true
11756 expression signals, assuming governed by the negative binomial distribution,
11757 can be delineated and thus the accurate detection of differential expressed
11758 genes.")
11759 (license license:gpl3+)))
11760
11761 (define-public r-massspecwavelet
11762 (package
11763 (name "r-massspecwavelet")
11764 (version "1.62.0")
11765 (source
11766 (origin
11767 (method url-fetch)
11768 (uri (bioconductor-uri "MassSpecWavelet" version))
11769 (sha256
11770 (base32
11771 "0g9izdy3f7h1zmsfbq45ahdz0ak5013rp3vxc4ijb1mpqx8ldd39"))))
11772 (properties
11773 `((upstream-name . "MassSpecWavelet")))
11774 (build-system r-build-system)
11775 (native-inputs
11776 (list r-knitr))
11777 (home-page "https://bioconductor.org/packages/MassSpecWavelet/")
11778 (synopsis "Mass spectrum processing by wavelet-based algorithms")
11779 (description
11780 "The MassSpecWavelet package aims to process @dfn{Mass Spectrometry} (MS)
11781 data mainly through the use of wavelet transforms. It supports peak detection
11782 based on @dfn{Continuous Wavelet Transform} (CWT).")
11783 (license license:lgpl2.0+)))
11784
11785 (define-public r-xcms
11786 (package
11787 (name "r-xcms")
11788 (version "3.18.0")
11789 (source
11790 (origin
11791 (method url-fetch)
11792 (uri (bioconductor-uri "xcms" version))
11793 (sha256
11794 (base32
11795 "0p2zd2728lj5q8y24gdfvsjijd6zl2i73hrcf017n32jq7vn71xm"))))
11796 (build-system r-build-system)
11797 (propagated-inputs
11798 (list r-biobase
11799 r-biocgenerics
11800 r-biocparallel
11801 r-iranges
11802 r-lattice
11803 r-massspecwavelet
11804 r-mscoreutils
11805 r-msfeatures
11806 r-msnbase
11807 r-mzr
11808 r-plyr
11809 r-protgenerics
11810 r-rann
11811 r-rcolorbrewer
11812 r-robustbase
11813 r-s4vectors
11814 r-summarizedexperiment))
11815 (native-inputs
11816 (list r-knitr))
11817 (home-page "https://bioconductor.org/packages/xcms/")
11818 (synopsis "LC/MS and GC/MS mass spectrometry data analysis")
11819 (description
11820 "This package provides a framework for processing and visualization of
11821 chromatographically separated and single-spectra mass spectral data. It
11822 imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. It preprocesses
11823 data for high-throughput, untargeted analyte profiling.")
11824 (license license:gpl2+)))
11825
11826 (define-public r-wppi
11827 (package
11828 (name "r-wppi")
11829 (version "1.4.0")
11830 (source (origin
11831 (method url-fetch)
11832 (uri (bioconductor-uri "wppi" version))
11833 (sha256
11834 (base32
11835 "1008s39bb7sd261cy1vfgdah7bmhfw9qq322fh7g4wvpfw63ii9f"))))
11836 (properties `((upstream-name . "wppi")))
11837 (build-system r-build-system)
11838 ;; This is necessary because omnipathr attempts to write a configuration
11839 ;; file to HOME.
11840 (arguments
11841 `(#:phases
11842 (modify-phases %standard-phases
11843 (add-after 'unpack 'set-HOME
11844 (lambda _ (setenv "HOME" "/tmp"))))))
11845 (propagated-inputs (list r-dplyr
11846 r-igraph
11847 r-logger
11848 r-magrittr
11849 r-matrix
11850 r-omnipathr
11851 r-progress
11852 r-purrr
11853 r-rcurl
11854 r-rlang
11855 r-tibble
11856 r-tidyr))
11857 (native-inputs (list r-knitr))
11858 (home-page "https://github.com/AnaGalhoz37/wppi")
11859 (synopsis "Weighting protein-protein interactions")
11860 (description
11861 "This package predicts functional relevance of protein-protein
11862 interactions based on functional annotations such as Human Protein Ontology
11863 and Gene Ontology, and prioritizes genes based on network topology, functional
11864 scores and a path search algorithm.")
11865 (license license:expat)))
11866
11867 (define-public r-wrench
11868 (package
11869 (name "r-wrench")
11870 (version "1.14.0")
11871 (source
11872 (origin
11873 (method url-fetch)
11874 (uri (bioconductor-uri "Wrench" version))
11875 (sha256
11876 (base32
11877 "1zx65s4m71wj85s2sq8ip54pq12r4sxfv8b2rxc41gfc5aj0zzca"))))
11878 (properties `((upstream-name . "Wrench")))
11879 (build-system r-build-system)
11880 (propagated-inputs
11881 (list r-limma r-locfit r-matrixstats))
11882 (native-inputs
11883 (list r-knitr))
11884 (home-page "https://github.com/HCBravoLab/Wrench")
11885 (synopsis "Wrench normalization for sparse count data")
11886 (description
11887 "Wrench is a package for normalization sparse genomic count data, like
11888 that arising from 16s metagenomic surveys.")
11889 (license license:artistic2.0)))
11890
11891 (define-public r-wiggleplotr
11892 (package
11893 (name "r-wiggleplotr")
11894 (version "1.20.0")
11895 (source
11896 (origin
11897 (method url-fetch)
11898 (uri (bioconductor-uri "wiggleplotr" version))
11899 (sha256
11900 (base32
11901 "0s128mm5w8n072k6j0fv1mxnxjpwisjp5lpz8a9z96cnn69bnr0i"))))
11902 (build-system r-build-system)
11903 (propagated-inputs
11904 (list r-assertthat
11905 r-cowplot
11906 r-dplyr
11907 r-genomeinfodb
11908 r-genomicranges
11909 r-ggplot2
11910 r-iranges
11911 r-purrr
11912 r-rtracklayer
11913 r-s4vectors))
11914 (native-inputs
11915 (list r-knitr))
11916 (home-page "https://bioconductor.org/packages/wiggleplotr/")
11917 (synopsis "Make read coverage plots from BigWig files")
11918 (description
11919 "This package provides tools to visualize read coverage from sequencing
11920 experiments together with genomic annotations (genes, transcripts, peaks).
11921 Introns of long transcripts can be rescaled to a fixed length for better
11922 visualization of exonic read coverage.")
11923 (license license:asl2.0)))
11924
11925 (define-public r-widgettools
11926 (package
11927 (name "r-widgettools")
11928 (version "1.74.0")
11929 (source
11930 (origin
11931 (method url-fetch)
11932 (uri (bioconductor-uri "widgetTools" version))
11933 (sha256
11934 (base32
11935 "10w1s5h4za6ibmphvj145ir3lp22qgah2z8fvmipmf8ciq1jf86d"))))
11936 (properties `((upstream-name . "widgetTools")))
11937 (build-system r-build-system)
11938 (home-page "https://bioconductor.org/packages/widgetTools/")
11939 (synopsis "Tools for creating interactive tcltk widgets")
11940 (description
11941 "This package contains tools to support the construction of tcltk
11942 widgets in R.")
11943 ;; Any version of the LGPL.
11944 (license license:lgpl3+)))
11945
11946 (define-public r-webbioc
11947 (package
11948 (name "r-webbioc")
11949 (version "1.68.0")
11950 (source
11951 (origin
11952 (method url-fetch)
11953 (uri (bioconductor-uri "webbioc" version))
11954 (sha256
11955 (base32
11956 "1g3srxsa2fqcn3r4wz4y19fwjmw3vawlcvdw6lbjdnvbgcafq1ah"))))
11957 (build-system r-build-system)
11958 (inputs
11959 (list netpbm perl))
11960 (propagated-inputs
11961 (list r-affy
11962 r-annaffy
11963 r-biobase
11964 r-biocmanager
11965 r-gcrma
11966 r-multtest
11967 r-qvalue
11968 r-vsn))
11969 (home-page "https://www.bioconductor.org/")
11970 (synopsis "Bioconductor web interface")
11971 (description
11972 "This package provides an integrated web interface for doing microarray
11973 analysis using several of the Bioconductor packages. It is intended to be
11974 deployed as a centralized bioinformatics resource for use by many users.
11975 Currently only Affymetrix oligonucleotide analysis is supported.")
11976 (license license:gpl2+)))
11977
11978 (define-public r-zinbwave
11979 (package
11980 (name "r-zinbwave")
11981 (version "1.18.0")
11982 (source
11983 (origin
11984 (method url-fetch)
11985 (uri (bioconductor-uri "zinbwave" version))
11986 (sha256
11987 (base32
11988 "0vpz721sciw5b4ypxj5lj8p53gwkpfwlwkn6k3y8i65zg80p1g6i"))))
11989 (build-system r-build-system)
11990 (propagated-inputs
11991 (list r-biocparallel
11992 r-edger
11993 r-genefilter
11994 r-matrix
11995 r-singlecellexperiment
11996 r-softimpute
11997 r-summarizedexperiment))
11998 (native-inputs
11999 (list r-knitr))
12000 (home-page "https://bioconductor.org/packages/zinbwave")
12001 (synopsis "Zero-inflated negative binomial model for RNA-seq data")
12002 (description "This package implements a general and flexible zero-inflated
12003 negative binomial model that can be used to provide a low-dimensional
12004 representations of single-cell RNA-seq data. The model accounts for zero
12005 inflation (dropouts), over-dispersion, and the count nature of the data.
12006 The model also accounts for the difference in library sizes and optionally
12007 for batch effects and/or other covariates, avoiding the need for pre-normalize
12008 the data.")
12009 (license license:artistic2.0)))
12010
12011 (define-public r-zfpkm
12012 (package
12013 (name "r-zfpkm")
12014 (version "1.18.0")
12015 (source
12016 (origin
12017 (method url-fetch)
12018 (uri (bioconductor-uri "zFPKM" version))
12019 (sha256
12020 (base32
12021 "1h7g553rgb5mkmmsp8dyqqs9n9x17xmmcg3iijhb54nyrr2j1mji"))))
12022 (properties `((upstream-name . "zFPKM")))
12023 (build-system r-build-system)
12024 (propagated-inputs
12025 (list r-checkmate r-dplyr r-ggplot2 r-summarizedexperiment r-tidyr))
12026 (native-inputs
12027 (list r-knitr))
12028 (home-page "https://github.com/ronammar/zFPKM/")
12029 (synopsis "Functions to facilitate zFPKM transformations")
12030 (description
12031 "This is a package to perform the zFPKM transform on RNA-seq FPKM data.
12032 This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID
12033 24215113).")
12034 (license license:gpl3)))
12035
12036 (define-public r-rbowtie2
12037 (package
12038 (name "r-rbowtie2")
12039 (version "2.2.0")
12040 (source
12041 (origin
12042 (method url-fetch)
12043 (uri (bioconductor-uri "Rbowtie2" version))
12044 (sha256
12045 (base32
12046 "0dhdx27vrkhd4fak0qb5q9amlcpi97xhf3ry39zk0ifx5zpjynkg"))))
12047 (properties `((upstream-name . "Rbowtie2")))
12048 (build-system r-build-system)
12049 (propagated-inputs
12050 (list r-magrittr r-rsamtools))
12051 (inputs
12052 (list samtools zlib))
12053 (native-inputs
12054 (list r-knitr))
12055 (home-page "https://bioconductor.org/packages/Rbowtie2/")
12056 (synopsis "R wrapper for Bowtie2 and AdapterRemoval")
12057 (description
12058 "This package provides an R wrapper of the popular @code{bowtie2}
12059 sequencing reads aligner and @code{AdapterRemoval}, a convenient tool for
12060 rapid adapter trimming, identification, and read merging.")
12061 (license license:gpl3+)))
12062
12063 (define-public r-progeny
12064 (package
12065 (name "r-progeny")
12066 (version "1.18.0")
12067 (source
12068 (origin
12069 (method url-fetch)
12070 (uri (bioconductor-uri "progeny" version))
12071 (sha256
12072 (base32
12073 "1rhy2l2yf9ndxlvff8756s6n8qyi42nz7a75lgygj5aqqckkj21b"))))
12074 (build-system r-build-system)
12075 (propagated-inputs
12076 (list r-biobase
12077 r-decoupler
12078 r-dplyr
12079 r-ggplot2
12080 r-ggrepel
12081 r-gridextra
12082 r-reshape2
12083 r-tidyr))
12084 (native-inputs
12085 (list r-knitr))
12086 (home-page "https://github.com/saezlab/progeny")
12087 (synopsis "Pathway responsive gene activity inference")
12088 (description
12089 "This package provides a function to infer pathway activity from gene
12090 expression. It contains the linear model inferred in the publication
12091 \"Perturbation-response genes reveal signaling footprints in cancer gene
12092 expression\".")
12093 (license license:asl2.0)))
12094
12095 (define-public r-arrmnormalization
12096 (package
12097 (name "r-arrmnormalization")
12098 (version "1.36.0")
12099 (source
12100 (origin
12101 (method url-fetch)
12102 (uri (bioconductor-uri "ARRmNormalization" version))
12103 (sha256
12104 (base32
12105 "1pnvw8psbql787m8lrmhd9xbmgkc3dbc70yfds1aggv50dk3yjk1"))))
12106 (properties
12107 `((upstream-name . "ARRmNormalization")))
12108 (build-system r-build-system)
12109 (propagated-inputs (list r-arrmdata))
12110 (home-page "https://bioconductor.org/packages/ARRmNormalization/")
12111 (synopsis "Adaptive robust regression normalization for methylation data")
12112 (description
12113 "This is a package to perform the @dfn{Adaptive Robust Regression
12114 method} (ARRm) for the normalization of methylation data from the Illumina
12115 Infinium HumanMethylation 450k assay.")
12116 (license license:artistic2.0)))
12117
12118 (define-public r-biocfilecache
12119 (package
12120 (name "r-biocfilecache")
12121 (version "2.4.0")
12122 (source
12123 (origin
12124 (method url-fetch)
12125 (uri (bioconductor-uri "BiocFileCache" version))
12126 (sha256
12127 (base32
12128 "1bdbmlixrd8wvs25nmzdksq5hwnsxf8b6ds9qwx01h284vky5vsw"))))
12129 (properties `((upstream-name . "BiocFileCache")))
12130 (build-system r-build-system)
12131 (propagated-inputs
12132 (list r-curl
12133 r-dbi
12134 r-dbplyr
12135 r-dplyr
12136 r-filelock
12137 r-httr
12138 r-rappdirs
12139 r-rsqlite))
12140 (native-inputs
12141 (list r-knitr))
12142 (home-page "https://bioconductor.org/packages/BiocFileCache/")
12143 (synopsis "Manage files across sessions")
12144 (description
12145 "This package creates a persistent on-disk cache of files that the user
12146 can add, update, and retrieve. It is useful for managing resources (such as
12147 custom Txdb objects) that are costly or difficult to create, web resources,
12148 and data files used across sessions.")
12149 (license license:artistic2.0)))
12150
12151 (define-public r-iclusterplus
12152 (package
12153 (name "r-iclusterplus")
12154 (version "1.32.0")
12155 (source
12156 (origin
12157 (method url-fetch)
12158 (uri (bioconductor-uri "iClusterPlus" version))
12159 (sha256
12160 (base32
12161 "0xzx3vly3p99zc5a69pra4jjp8d3bdhx7dl1l76w459cs58zy0sm"))))
12162 (properties `((upstream-name . "iClusterPlus")))
12163 (build-system r-build-system)
12164 (native-inputs (list gfortran))
12165 (home-page "https://bioconductor.org/packages/iClusterPlus/")
12166 (synopsis "Integrative clustering of multi-type genomic data")
12167 (description
12168 "iClusterPlus is developed for integrative clustering analysis of
12169 multi-type genomic data and is an enhanced version of iCluster proposed and
12170 developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise
12171 from the experiments where biological samples (e.g. tumor samples) are
12172 analyzed by multiple techniques, for instance, @dfn{array comparative genomic
12173 hybridization} (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so
12174 on. In the iClusterPlus model, binary observations such as somatic mutation
12175 are modeled as Binomial processes; categorical observations such as copy
12176 number states are realizations of Multinomial random variables; counts are
12177 modeled as Poisson random processes; and continuous measures are modeled by
12178 Gaussian distributions.")
12179 (license license:gpl2+)))
12180
12181 (define-public r-rbowtie
12182 (package
12183 (name "r-rbowtie")
12184 (version "1.36.0")
12185 (source
12186 (origin
12187 (method url-fetch)
12188 (uri (bioconductor-uri "Rbowtie" version))
12189 (sha256
12190 (base32
12191 "1ya1irwshsyy9l1fj51b04nv1ahq7a47ck7q19h2cly6yskc4x1q"))))
12192 (properties `((upstream-name . "Rbowtie")))
12193 (build-system r-build-system)
12194 (arguments
12195 `(#:phases
12196 ;; Disable unsupported `popcnt' instructions on
12197 ;; architectures other than x86_64
12198 ,(if (string-prefix? "x86_64"
12199 (or (%current-target-system)
12200 (%current-system)))
12201 '%standard-phases
12202 '(modify-phases %standard-phases
12203 (add-after 'unpack 'patch-sources
12204 (lambda _
12205 (setenv "POPCNT_CAPABILITY" "0")))))))
12206 (inputs (list zlib))
12207 (native-inputs
12208 (list r-knitr))
12209 (home-page "https://bioconductor.org/packages/Rbowtie/")
12210 (synopsis "R bowtie wrapper")
12211 (description
12212 "This package provides an R wrapper around the popular bowtie short read
12213 aligner and around SpliceMap, a de novo splice junction discovery and
12214 alignment tool.")
12215 (license license:artistic2.0)))
12216
12217 (define-public r-sgseq
12218 (package
12219 (name "r-sgseq")
12220 (version "1.30.0")
12221 (source
12222 (origin
12223 (method url-fetch)
12224 (uri (bioconductor-uri "SGSeq" version))
12225 (sha256
12226 (base32
12227 "0hz45367i70wl97silnimicdvs3g41zyf8syc6igz6471wbwkxwp"))))
12228 (properties `((upstream-name . "SGSeq")))
12229 (build-system r-build-system)
12230 (propagated-inputs
12231 (list r-annotationdbi
12232 r-biocgenerics
12233 r-biostrings
12234 r-genomeinfodb
12235 r-genomicalignments
12236 r-genomicfeatures
12237 r-genomicranges
12238 r-igraph
12239 r-iranges
12240 r-rsamtools
12241 r-rtracklayer
12242 r-runit
12243 r-s4vectors
12244 r-summarizedexperiment))
12245 (native-inputs
12246 (list r-knitr))
12247 (home-page "https://bioconductor.org/packages/SGSeq/")
12248 (synopsis "Splice event prediction and quantification from RNA-seq data")
12249 (description
12250 "SGSeq is a package for analyzing splice events from RNA-seq data. Input
12251 data are RNA-seq reads mapped to a reference genome in BAM format. Genes are
12252 represented as a splice graph, which can be obtained from existing annotation
12253 or predicted from the mapped sequence reads. Splice events are identified
12254 from the graph and are quantified locally using structurally compatible reads
12255 at the start or end of each splice variant. The software includes functions
12256 for splice event prediction, quantification, visualization and
12257 interpretation.")
12258 (license license:artistic2.0)))
12259
12260 (define-public r-rhisat2
12261 (package
12262 (name "r-rhisat2")
12263 (version "1.12.0")
12264 (source
12265 (origin
12266 (method url-fetch)
12267 (uri (bioconductor-uri "Rhisat2" version))
12268 (sha256
12269 (base32
12270 "0hzair41l47kzykymd169a34pfhb98vrjgkgdf15m17csyz7pnv7"))))
12271 (properties `((upstream-name . "Rhisat2")))
12272 (build-system r-build-system)
12273 (arguments
12274 `(#:phases
12275 (modify-phases %standard-phases
12276 (add-after 'unpack 'make-reproducible
12277 (lambda _
12278 (substitute* "src/Makefile"
12279 (("`hostname`") "guix")
12280 (("`date`") "0")
12281 ;; Avoid shelling out to "which".
12282 (("^CC =.*") (which "gcc"))
12283 (("^CPP =.*") (which "g++")))
12284 #t)))))
12285 (propagated-inputs
12286 (list r-genomicfeatures r-genomicranges r-sgseq))
12287 (native-inputs
12288 (list r-knitr))
12289 (home-page "https://github.com/fmicompbio/Rhisat2")
12290 (synopsis "R Wrapper for HISAT2 sequence aligner")
12291 (description
12292 "This package provides an R interface to the HISAT2 spliced short-read
12293 aligner by Kim et al. (2015). The package contains wrapper functions to
12294 create a genome index and to perform the read alignment to the generated
12295 index.")
12296 (license license:gpl3)))
12297
12298 (define-public r-quasr
12299 (package
12300 (name "r-quasr")
12301 (version "1.36.0")
12302 (source
12303 (origin
12304 (method url-fetch)
12305 (uri (bioconductor-uri "QuasR" version))
12306 (sha256
12307 (base32
12308 "1m0c0rdakkdn4rr6dh51c6rs40cbxkvz93n6s0m2kc6fqjv9zplf"))))
12309 (properties `((upstream-name . "QuasR")))
12310 (build-system r-build-system)
12311 (propagated-inputs
12312 (list r-annotationdbi
12313 r-biobase
12314 r-biocgenerics
12315 r-biocparallel
12316 r-biostrings
12317 r-bsgenome
12318 r-genomeinfodb
12319 r-genomicfeatures
12320 r-genomicfiles
12321 r-genomicranges
12322 r-iranges
12323 r-rbowtie
12324 r-rhtslib
12325 r-rsamtools
12326 r-rtracklayer
12327 r-s4vectors
12328 r-shortread))
12329 (native-inputs
12330 (list r-knitr))
12331 (home-page "https://bioconductor.org/packages/QuasR/")
12332 (synopsis "Quantify and annotate short reads in R")
12333 (description
12334 "This package provides a framework for the quantification and analysis of
12335 short genomic reads. It covers a complete workflow starting from raw sequence
12336 reads, over creation of alignments and quality control plots, to the
12337 quantification of genomic regions of interest.")
12338 (license license:gpl2)))
12339
12340 (define-public r-rqc
12341 (package
12342 (name "r-rqc")
12343 (version "1.30.0")
12344 (source
12345 (origin
12346 (method url-fetch)
12347 (uri (bioconductor-uri "Rqc" version))
12348 (sha256
12349 (base32
12350 "11j8m69zdcmpjb3xzr4s8sqmv8aqgl8q7k81gnd09l3nyjzy0h1k"))))
12351 (properties `((upstream-name . "Rqc")))
12352 (build-system r-build-system)
12353 (propagated-inputs
12354 (list r-biocgenerics
12355 r-biocparallel
12356 r-biocstyle
12357 r-biostrings
12358 r-biovizbase
12359 r-genomicalignments
12360 r-genomicfiles
12361 r-ggplot2
12362 r-iranges
12363 r-knitr
12364 r-markdown
12365 r-plyr
12366 r-rcpp
12367 r-reshape2
12368 r-rsamtools
12369 r-s4vectors
12370 r-shiny
12371 r-shortread))
12372 (native-inputs
12373 (list r-knitr))
12374 (home-page "https://github.com/labbcb/Rqc")
12375 (synopsis "Quality control tool for high-throughput sequencing data")
12376 (description
12377 "Rqc is an optimized tool designed for quality control and assessment of
12378 high-throughput sequencing data. It performs parallel processing of entire
12379 files and produces a report which contains a set of high-resolution
12380 graphics.")
12381 (license license:gpl2+)))
12382
12383 (define-public r-birewire
12384 (package
12385 (name "r-birewire")
12386 (version "3.28.0")
12387 (source
12388 (origin
12389 (method url-fetch)
12390 (uri (bioconductor-uri "BiRewire" version))
12391 (sha256
12392 (base32
12393 "0r3i7n45qgj8wzdsx8wmfk0lc4xbcvxvmfziiqzig7r706q2c2hm"))))
12394 (properties `((upstream-name . "BiRewire")))
12395 (build-system r-build-system)
12396 (propagated-inputs
12397 (list r-igraph r-matrix r-rtsne r-slam))
12398 (home-page "https://bioconductor.org/packages/release/bioc/html/BiRewire.html")
12399 (synopsis "Tools for randomization of bipartite graphs")
12400 (description
12401 "This package provides functions for bipartite network rewiring through N
12402 consecutive switching steps and for the computation of the minimal number of
12403 switching steps to be performed in order to maximise the dissimilarity with
12404 respect to the original network. It includes functions for the analysis of
12405 the introduced randomness across the switching steps and several other
12406 routines to analyse the resulting networks and their natural projections.")
12407 (license license:gpl3)))
12408
12409 (define-public r-birta
12410 (package
12411 (name "r-birta")
12412 (version "1.31.0")
12413 (source
12414 (origin
12415 (method url-fetch)
12416 (uri (bioconductor-uri "birta" version))
12417 (sha256
12418 (base32
12419 "00a1kcfmcgdbx6wpnhk45wm45bynhry5m93l9hm75j2rwyc4lnca"))))
12420 (build-system r-build-system)
12421 (propagated-inputs
12422 (list r-biobase r-limma r-mass))
12423 (home-page "https://bioconductor.org/packages/birta")
12424 (synopsis "Bayesian inference of regulation of transcriptional activity")
12425 (description
12426 "Expression levels of mRNA molecules are regulated by different
12427 processes, comprising inhibition or activation by transcription factors and
12428 post-transcriptional degradation by microRNAs. @dfn{birta} (Bayesian
12429 Inference of Regulation of Transcriptional Activity) uses the regulatory
12430 networks of transcription factors and miRNAs together with mRNA and miRNA
12431 expression data to predict switches in regulatory activity between two
12432 conditions. A Bayesian network is used to model the regulatory structure and
12433 Markov-Chain-Monte-Carlo is applied to sample the activity states.")
12434 (license license:gpl2+)))
12435
12436 (define-public r-multidataset
12437 (package
12438 (name "r-multidataset")
12439 (version "1.24.0")
12440 (source
12441 (origin
12442 (method url-fetch)
12443 (uri (bioconductor-uri "MultiDataSet" version))
12444 (sha256
12445 (base32
12446 "0rfs6jkzh1i4mj1pgfk4lwzmcl8pcwizra3q3282x3d8h2g98qnf"))))
12447 (properties `((upstream-name . "MultiDataSet")))
12448 (build-system r-build-system)
12449 (propagated-inputs
12450 (list r-biobase
12451 r-biocgenerics
12452 r-genomicranges
12453 r-ggplot2
12454 r-ggrepel
12455 r-iranges
12456 r-limma
12457 r-qqman
12458 r-s4vectors
12459 r-summarizedexperiment))
12460 (native-inputs
12461 (list r-knitr))
12462 (home-page "https://bioconductor.org/packages/MultiDataSet/")
12463 (synopsis "Implementation of MultiDataSet and ResultSet")
12464 (description
12465 "This package provides an implementation of the BRGE's (Bioinformatic
12466 Research Group in Epidemiology from Center for Research in Environmental
12467 Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for
12468 integrating multi omics data sets and ResultSet is a container for omics
12469 results. This package contains base classes for MEAL and rexposome
12470 packages.")
12471 (license license:expat)))
12472
12473 (define-public r-ropls
12474 (package
12475 (name "r-ropls")
12476 (version "1.28.2")
12477 (source
12478 (origin
12479 (method url-fetch)
12480 (uri (bioconductor-uri "ropls" version))
12481 (sha256
12482 (base32
12483 "07gpx15r8c3wljiwxnff2zp7wxbhzz9r7njk8zg8hpy2q5qm3i6c"))))
12484 (build-system r-build-system)
12485 (propagated-inputs
12486 (list r-biobase
12487 r-multiassayexperiment
12488 r-multidataset
12489 r-summarizedexperiment))
12490 (native-inputs
12491 (list r-knitr)) ; for vignettes
12492 (home-page "https://dx.doi.org/10.1021/acs.jproteome.5b00354")
12493 (synopsis "Multivariate analysis and feature selection of omics data")
12494 (description
12495 "Latent variable modeling with @dfn{Principal Component Analysis} (PCA)
12496 and @dfn{Partial Least Squares} (PLS) are powerful methods for visualization,
12497 regression, classification, and feature selection of omics data where the
12498 number of variables exceeds the number of samples and with multicollinearity
12499 among variables. @dfn{Orthogonal Partial Least Squares} (OPLS) enables to
12500 separately model the variation correlated (predictive) to the factor of
12501 interest and the uncorrelated (orthogonal) variation. While performing
12502 similarly to PLS, OPLS facilitates interpretation.
12503
12504 This package provides imlementations of PCA, PLS, and OPLS for multivariate
12505 analysis and feature selection of omics data. In addition to scores, loadings
12506 and weights plots, the package provides metrics and graphics to determine the
12507 optimal number of components (e.g. with the R2 and Q2 coefficients), check the
12508 validity of the model by permutation testing, detect outliers, and perform
12509 feature selection (e.g. with Variable Importance in Projection or regression
12510 coefficients).")
12511 (license license:cecill)))
12512
12513 (define-public r-biosigner
12514 (package
12515 (name "r-biosigner")
12516 (version "1.24.2")
12517 (source
12518 (origin
12519 (method url-fetch)
12520 (uri (bioconductor-uri "biosigner" version))
12521 (sha256
12522 (base32
12523 "0vdv2by3qv7y8vzr8qgg7apwwgsa0fhlfrhzns7g3nas7883c89m"))))
12524 (build-system r-build-system)
12525 (propagated-inputs
12526 (list r-biobase
12527 r-e1071
12528 r-multiassayexperiment
12529 r-multidataset
12530 r-randomforest
12531 r-ropls
12532 r-summarizedexperiment))
12533 (native-inputs
12534 (list r-knitr))
12535 (home-page "https://bioconductor.org/packages/biosigner/")
12536 (synopsis "Signature discovery from omics data")
12537 (description
12538 "Feature selection is critical in omics data analysis to extract
12539 restricted and meaningful molecular signatures from complex and high-dimension
12540 data, and to build robust classifiers. This package implements a method to
12541 assess the relevance of the variables for the prediction performances of the
12542 classifier. The approach can be run in parallel with the PLS-DA, Random
12543 Forest, and SVM binary classifiers. The signatures and the corresponding
12544 'restricted' models are returned, enabling future predictions on new
12545 datasets.")
12546 (license license:cecill)))
12547
12548 (define-public r-annotatr
12549 (package
12550 (name "r-annotatr")
12551 (version "1.22.0")
12552 (source
12553 (origin
12554 (method url-fetch)
12555 (uri (bioconductor-uri "annotatr" version))
12556 (sha256
12557 (base32
12558 "1fbax9v3d486c8lwf3yfjbf4w7zf53wmdpxk2clwm8ngm7w0pqm0"))))
12559 (build-system r-build-system)
12560 (propagated-inputs
12561 (list r-annotationdbi
12562 r-annotationhub
12563 r-dplyr
12564 r-genomeinfodb
12565 r-genomicfeatures
12566 r-genomicranges
12567 r-ggplot2
12568 r-iranges
12569 r-readr
12570 r-regioner
12571 r-reshape2
12572 r-rtracklayer
12573 r-s4vectors))
12574 (native-inputs
12575 (list r-knitr))
12576 (home-page "https://bioconductor.org/packages/annotatr/")
12577 (synopsis "Annotation of genomic regions to genomic annotations")
12578 (description
12579 "Given a set of genomic sites/regions (e.g. ChIP-seq peaks, CpGs,
12580 differentially methylated CpGs or regions, SNPs, etc.) it is often of interest
12581 to investigate the intersecting genomic annotations. Such annotations include
12582 those relating to gene models (promoters, 5'UTRs, exons, introns, and 3'UTRs),
12583 CpGs (CpG islands, CpG shores, CpG shelves), or regulatory sequences such as
12584 enhancers. The annotatr package provides an easy way to summarize and
12585 visualize the intersection of genomic sites/regions with genomic
12586 annotations.")
12587 (license license:gpl3)))
12588
12589 (define-public r-rsubread
12590 (package
12591 (name "r-rsubread")
12592 (version "2.10.5")
12593 (source
12594 (origin
12595 (method url-fetch)
12596 (uri (bioconductor-uri "Rsubread" version))
12597 (sha256
12598 (base32
12599 "0n9qqbkj2lgxkia6kfpfz06wbc1lvw24qyvn88f48zw5nh0rsrs2"))))
12600 (properties `((upstream-name . "Rsubread")))
12601 (build-system r-build-system)
12602 (inputs (list zlib))
12603 (propagated-inputs
12604 (list r-matrix))
12605 (home-page "https://bioconductor.org/packages/Rsubread/")
12606 (synopsis "Subread sequence alignment and counting for R")
12607 (description
12608 "This package provides tools for alignment, quantification and analysis
12609 of second and third generation sequencing data. It includes functionality for
12610 read mapping, read counting, SNP calling, structural variant detection and
12611 gene fusion discovery. It can be applied to all major sequencing techologies
12612 and to both short and long sequence reads.")
12613 (license license:gpl3)))
12614
12615 (define-public r-flowutils
12616 (package
12617 (name "r-flowutils")
12618 (version "1.59.0")
12619 (source
12620 (origin
12621 (method url-fetch)
12622 (uri (bioconductor-uri "flowUtils" version))
12623 (sha256
12624 (base32
12625 "11x362dqb9mjlsbq6g1qkb8hhnkvm22z5s3wkgmpyy9kyifjkm26"))))
12626 (properties `((upstream-name . "flowUtils")))
12627 (build-system r-build-system)
12628 (propagated-inputs
12629 (list r-biobase
12630 r-corpcor
12631 r-flowcore
12632 r-graph
12633 r-runit
12634 r-xml))
12635 (home-page "https://github.com/jspidlen/flowUtils")
12636 (synopsis "Utilities for flow cytometry")
12637 (description
12638 "This package provides utilities for flow cytometry data.")
12639 (license license:artistic2.0)))
12640
12641 (define-public r-consensusclusterplus
12642 (package
12643 (name "r-consensusclusterplus")
12644 (version "1.60.0")
12645 (source
12646 (origin
12647 (method url-fetch)
12648 (uri (bioconductor-uri "ConsensusClusterPlus" version))
12649 (sha256
12650 (base32
12651 "1021cix4mr9qsafskw4kk1l3wdzx9pk2gcwjifz6f4zqxss9v07p"))))
12652 (properties
12653 `((upstream-name . "ConsensusClusterPlus")))
12654 (build-system r-build-system)
12655 (propagated-inputs
12656 (list r-all r-biobase r-cluster))
12657 (home-page "https://bioconductor.org/packages/ConsensusClusterPlus")
12658 (synopsis "Clustering algorithm")
12659 (description
12660 "This package provides an implementation of an algorithm for determining
12661 cluster count and membership by stability evidence in unsupervised analysis.")
12662 (license license:gpl2)))
12663
12664 ;; This is the latest commit and it solves a bug from the latest release.
12665 (define-public r-cycombine
12666 (let ((commit "f18504bc83ff5daee2b5eb4b28f09abdaaa66698") (revision "1"))
12667 (package
12668 (name "r-cycombine")
12669 (version (git-version "0.2.6" revision commit))
12670 (source (origin
12671 (method git-fetch)
12672 (uri (git-reference
12673 (url "https://github.com/biosurf/cyCombine")
12674 (commit commit)))
12675 (file-name (git-file-name name version))
12676 (sha256
12677 (base32
12678 "1fiwnik8iahg01732fik85xhz359x32f1xc59h443pdf7jancskm"))))
12679 (properties `((upstream-name . "cyCombine")))
12680 (build-system r-build-system)
12681 (propagated-inputs
12682 (list r-biobase
12683 r-cytolib
12684 r-dplyr
12685 r-flowcore
12686 r-ggplot2
12687 r-knitr
12688 r-kohonen
12689 r-magrittr
12690 r-purrr
12691 r-rcolorbrewer
12692 r-readr
12693 r-readxl
12694 r-stringr
12695 r-sva
12696 r-tibble
12697 r-tidyr))
12698 (native-inputs (list r-knitr))
12699 (home-page "https://github.com/biosurf/cyCombine")
12700 (synopsis "Integration of single-cell cytometry datasets")
12701 (description
12702 "This package provides a method for combining single-cell cytometry
12703 datasets, which increases the analytical flexibility and the statistical power
12704 of the analyses while minimizing technical noise.")
12705 (license license:expat))))
12706
12707 (define-public r-cytolib
12708 (package
12709 (name "r-cytolib")
12710 (version "2.8.0")
12711 (source
12712 (origin
12713 (method url-fetch)
12714 (uri (bioconductor-uri "cytolib" version))
12715 (sha256
12716 (base32
12717 "18b532sicca5l8sn334prrm7g1z1cakiwydccz4i833168pnsjyg"))))
12718 (properties `((upstream-name . "cytolib")))
12719 (build-system r-build-system)
12720 (native-inputs
12721 (list r-knitr))
12722 (propagated-inputs
12723 (list r-bh
12724 r-rcpp
12725 r-rcpparmadillo
12726 r-rcppparallel
12727 r-rhdf5lib
12728 r-rprotobuflib))
12729 (home-page "https://bioconductor.org/packages/cytolib/")
12730 (synopsis "C++ infrastructure for working with gated cytometry")
12731 (description
12732 "This package provides the core data structure and API to represent and
12733 interact with gated cytometry data.")
12734 (license license:artistic2.0)))
12735
12736 (define-public r-flowcore
12737 (package
12738 (name "r-flowcore")
12739 (version "2.8.0")
12740 (source
12741 (origin
12742 (method url-fetch)
12743 (uri (bioconductor-uri "flowCore" version))
12744 (sha256
12745 (base32
12746 "17nci6rc4i0vs0ibw5q8zy30ap7q4550qpq4ifkbblqbyzxlzkhr"))))
12747 (properties `((upstream-name . "flowCore")))
12748 (build-system r-build-system)
12749 (propagated-inputs
12750 (list r-bh
12751 r-biobase
12752 r-biocgenerics
12753 r-cytolib
12754 r-matrixstats
12755 r-rcpp
12756 r-rcpparmadillo
12757 r-rprotobuflib
12758 r-s4vectors))
12759 (native-inputs
12760 (list r-knitr))
12761 (home-page "https://bioconductor.org/packages/flowCore")
12762 (synopsis "Basic structures for flow cytometry data")
12763 (description
12764 "This package provides S4 data structures and basic functions to deal
12765 with flow cytometry data.")
12766 (license license:artistic2.0)))
12767
12768 (define-public r-flowmeans
12769 (package
12770 (name "r-flowmeans")
12771 (version "1.56.0")
12772 (source
12773 (origin
12774 (method url-fetch)
12775 (uri (bioconductor-uri "flowMeans" version))
12776 (sha256
12777 (base32
12778 "1n4li43ydwwf5gvgmdml4ba28cxymybg5wnz6jvp35n959fwxv6y"))))
12779 (properties `((upstream-name . "flowMeans")))
12780 (build-system r-build-system)
12781 (propagated-inputs
12782 (list r-biobase r-feature r-flowcore r-rrcov))
12783 (home-page "https://bioconductor.org/packages/flowMeans")
12784 (synopsis "Non-parametric flow cytometry data gating")
12785 (description
12786 "This package provides tools to identify cell populations in Flow
12787 Cytometry data using non-parametric clustering and segmented-regression-based
12788 change point detection.")
12789 (license license:artistic2.0)))
12790
12791 (define-public r-ncdfflow
12792 (package
12793 (name "r-ncdfflow")
12794 (version "2.42.1")
12795 (source
12796 (origin
12797 (method url-fetch)
12798 (uri (bioconductor-uri "ncdfFlow" version))
12799 (sha256
12800 (base32
12801 "0759xvkp22dnbhq5wpgvpk8p61w0d50r5jrbh9n7sj8sga4lvvv7"))))
12802 (properties `((upstream-name . "ncdfFlow")))
12803 (build-system r-build-system)
12804 (propagated-inputs
12805 (list r-bh
12806 r-biobase
12807 r-biocgenerics
12808 r-flowcore
12809 r-rcpp
12810 r-rcpparmadillo
12811 r-rhdf5lib
12812 r-zlibbioc))
12813 (native-inputs
12814 (list r-knitr))
12815 (home-page "https://bioconductor.org/packages/ncdfFlow/")
12816 (synopsis "HDF5 based storage for flow cytometry data")
12817 (description
12818 "This package provides HDF5 storage based methods and functions for
12819 manipulation of flow cytometry data.")
12820 (license license:artistic2.0)))
12821
12822 (define-public r-ggcyto
12823 (package
12824 (name "r-ggcyto")
12825 (version "1.24.1")
12826 (source
12827 (origin
12828 (method url-fetch)
12829 (uri (bioconductor-uri "ggcyto" version))
12830 (sha256
12831 (base32
12832 "1cw60x78vqzjmgb5xd3sxyz6zwdaffp3byk34z8d4b3wkh530325"))))
12833 (properties `((upstream-name . "ggcyto")))
12834 (build-system r-build-system)
12835 (propagated-inputs
12836 (list r-data-table
12837 r-flowcore
12838 r-flowworkspace
12839 r-ggplot2
12840 r-gridextra
12841 r-hexbin
12842 r-ncdfflow
12843 r-plyr
12844 r-rcolorbrewer
12845 r-rlang
12846 r-scales))
12847 (native-inputs
12848 (list r-knitr))
12849 (home-page "https://github.com/RGLab/ggcyto/issues")
12850 (synopsis "Visualize Cytometry data with ggplot")
12851 (description
12852 "With the dedicated fortify method implemented for @code{flowSet},
12853 @code{ncdfFlowSet} and @code{GatingSet} classes, both raw and gated flow
12854 cytometry data can be plotted directly with ggplot. The @code{ggcyto} wrapper
12855 and some custom layers also make it easy to add gates and population
12856 statistics to the plot.")
12857 (license license:artistic2.0)))
12858
12859 (define-public r-flowviz
12860 (package
12861 (name "r-flowviz")
12862 (version "1.60.2")
12863 (source
12864 (origin
12865 (method url-fetch)
12866 (uri (bioconductor-uri "flowViz" version))
12867 (sha256
12868 (base32
12869 "08rwzc26jns0wwjsqqmf60bpxsckr5x8skdn9iwl8grp81npcc95"))))
12870 (properties `((upstream-name . "flowViz")))
12871 (build-system r-build-system)
12872 (propagated-inputs
12873 (list r-biobase
12874 r-flowcore
12875 r-hexbin
12876 r-idpmisc
12877 r-kernsmooth
12878 r-lattice
12879 r-latticeextra
12880 r-mass
12881 r-rcolorbrewer))
12882 (native-inputs
12883 (list r-knitr))
12884 (home-page "https://bioconductor.org/packages/flowViz/")
12885 (synopsis "Visualization for flow cytometry")
12886 (description
12887 "This package provides visualization tools for flow cytometry data.")
12888 (license license:artistic2.0)))
12889
12890 (define-public r-flowclust
12891 (package
12892 (name "r-flowclust")
12893 (version "3.34.0")
12894 (source
12895 (origin
12896 (method url-fetch)
12897 (uri (bioconductor-uri "flowClust" version))
12898 (sha256
12899 (base32
12900 "055vm9s8aha92znhpjqkipzprw8bkrinwjaik4ygmhym7w6vbblk"))))
12901 (properties `((upstream-name . "flowClust")))
12902 (build-system r-build-system)
12903 (arguments
12904 `(#:configure-flags
12905 (list "--configure-args=--enable-bundled-gsl=no")))
12906 (propagated-inputs
12907 (list r-biobase
12908 r-biocgenerics
12909 r-flowcore
12910 r-graph))
12911 (inputs
12912 (list gsl))
12913 (native-inputs
12914 (list pkg-config r-knitr))
12915 (home-page "https://bioconductor.org/packages/flowClust")
12916 (synopsis "Clustering for flow cytometry")
12917 (description
12918 "This package provides robust model-based clustering using a t-mixture
12919 model with Box-Cox transformation.")
12920 (license license:artistic2.0)))
12921
12922 ;; TODO: this package bundles an old version of protobuf. It's not easy to
12923 ;; make it use our protobuf package instead.
12924 (define-public r-rprotobuflib
12925 (package
12926 (name "r-rprotobuflib")
12927 (version "2.8.0")
12928 (source
12929 (origin
12930 (method url-fetch)
12931 (uri (bioconductor-uri "RProtoBufLib" version))
12932 (sha256
12933 (base32
12934 "1mvqwrm1y0vij66gdwgpf5l1h660wsi9jzjfs4ihw3zm4cb0q5pp"))))
12935 (properties `((upstream-name . "RProtoBufLib")))
12936 (build-system r-build-system)
12937 (arguments
12938 `(#:phases
12939 (modify-phases %standard-phases
12940 (add-after 'unpack 'unpack-bundled-sources
12941 (lambda _
12942 (with-directory-excursion "src"
12943 (invoke "tar" "xf" "protobuf-3.8.0.tar.gz")))))))
12944 (native-inputs
12945 (list r-knitr))
12946 (home-page "https://bioconductor.org/packages/RProtoBufLib/")
12947 (synopsis "C++ headers and static libraries of Protocol buffers")
12948 (description
12949 "This package provides the headers and static library of Protocol buffers
12950 for other R packages to compile and link against.")
12951 (license license:bsd-3)))
12952
12953 (define-public r-flowworkspace
12954 (package
12955 (name "r-flowworkspace")
12956 (version "4.8.0")
12957 (source
12958 (origin
12959 (method url-fetch)
12960 (uri (bioconductor-uri "flowWorkspace" version))
12961 (sha256
12962 (base32
12963 "0riyi9628cx1j5x6hmdd28yq75xh25j8ckcdz8dnb94dpvnhaqss"))))
12964 (properties `((upstream-name . "flowWorkspace")))
12965 (build-system r-build-system)
12966 (propagated-inputs
12967 (list r-aws-s3
12968 r-aws-signature
12969 r-bh
12970 r-biobase
12971 r-biocgenerics
12972 r-cytolib
12973 r-data-table
12974 r-delayedarray
12975 r-digest
12976 r-dplyr
12977 r-flowcore
12978 r-ggplot2
12979 r-graph
12980 r-lattice
12981 r-latticeextra
12982 r-matrixstats
12983 r-ncdfflow
12984 r-rbgl
12985 r-rcpp
12986 r-rcpparmadillo
12987 r-rcppparallel
12988 r-rgraphviz
12989 r-rhdf5lib
12990 r-rprotobuflib
12991 r-s4vectors
12992 r-scales
12993 r-xml))
12994 (native-inputs
12995 (list r-knitr))
12996 (home-page "https://bioconductor.org/packages/flowWorkspace/")
12997 (synopsis "Infrastructure for working with cytometry data")
12998 (description
12999 "This package is designed to facilitate comparison of automated gating
13000 methods against manual gating done in flowJo. This package allows you to
13001 import basic flowJo workspaces into BioConductor and replicate the gating from
13002 flowJo using the @code{flowCore} functionality. Gating hierarchies, groups of
13003 samples, compensation, and transformation are performed so that the output
13004 matches the flowJo analysis.")
13005 (license license:artistic2.0)))
13006
13007 (define-public r-flowstats
13008 (package
13009 (name "r-flowstats")
13010 (version "4.8.2")
13011 (source
13012 (origin
13013 (method url-fetch)
13014 (uri (bioconductor-uri "flowStats" version))
13015 (sha256
13016 (base32
13017 "1x01gg5ifxh3wp0cp5a23lr9v6l9q5qg8145q2pgn904jkx5wldc"))))
13018 (properties `((upstream-name . "flowStats")))
13019 (build-system r-build-system)
13020 (propagated-inputs
13021 (list r-biobase
13022 r-biocgenerics
13023 r-cluster
13024 r-corpcor
13025 r-fda
13026 r-flowcore
13027 r-flowviz
13028 r-flowworkspace
13029 r-kernsmooth
13030 r-ks
13031 r-lattice
13032 r-mass
13033 r-mnormt
13034 r-ncdfflow
13035 r-rcolorbrewer
13036 r-rrcov))
13037 (home-page "http://www.github.com/RGLab/flowStats")
13038 (synopsis "Statistical methods for the analysis of flow cytometry data")
13039 (description
13040 "This package provides methods and functionality to analyze flow data
13041 that is beyond the basic infrastructure provided by the @code{flowCore}
13042 package.")
13043 (license license:artistic2.0)))
13044
13045 (define-public r-opencyto
13046 (package
13047 (name "r-opencyto")
13048 (version "2.8.4")
13049 (source
13050 (origin
13051 (method url-fetch)
13052 (uri (bioconductor-uri "openCyto" version))
13053 (sha256
13054 (base32
13055 "0fa3hbbrjw458dhmxdjypcjgyxmphp9kdr3r62qqf803i4wsxfk0"))))
13056 (properties `((upstream-name . "openCyto")))
13057 (build-system r-build-system)
13058 (propagated-inputs
13059 (list r-biobase
13060 r-biocgenerics
13061 r-clue
13062 r-data-table
13063 r-flowclust
13064 r-flowcore
13065 r-flowstats
13066 r-flowviz
13067 r-flowworkspace
13068 r-graph
13069 r-gtools
13070 r-ks
13071 r-lattice
13072 r-mass
13073 r-ncdfflow
13074 r-plyr
13075 r-r-utils
13076 r-rbgl
13077 r-rcolorbrewer
13078 r-rcpp
13079 r-rrcov))
13080 (native-inputs
13081 (list r-knitr))
13082 (home-page "https://bioconductor.org/packages/openCyto")
13083 (synopsis "Hierarchical gating pipeline for flow cytometry data")
13084 (description
13085 "This package is designed to facilitate the automated gating methods in a
13086 sequential way to mimic the manual gating strategy.")
13087 (license license:artistic2.0)))
13088
13089 (define-public r-cytoml
13090 (package
13091 (name "r-cytoml")
13092 (version "2.8.1")
13093 (source
13094 (origin
13095 (method url-fetch)
13096 (uri (bioconductor-uri "CytoML" version))
13097 (sha256
13098 (base32
13099 "01yzdljpyq92bv318b5qs29f190226zwbqjnckvxmbb0k8m7s5hw"))))
13100 (properties `((upstream-name . "CytoML")))
13101 (build-system r-build-system)
13102 (inputs
13103 (list libxml2 zlib))
13104 (propagated-inputs
13105 (list r-base64enc
13106 r-bh
13107 r-biobase
13108 r-corpcor
13109 r-cytolib
13110 r-data-table
13111 r-dplyr
13112 r-flowcore
13113 r-flowworkspace
13114 r-ggcyto
13115 r-graph
13116 r-jsonlite
13117 r-lattice
13118 r-opencyto
13119 r-plyr
13120 r-rbgl
13121 r-rcpp
13122 r-rcpparmadillo
13123 r-rcppparallel
13124 r-rgraphviz
13125 r-rhdf5lib
13126 r-rprotobuflib
13127 r-runit
13128 r-tibble
13129 r-xml
13130 r-xml2
13131 r-yaml))
13132 (native-inputs
13133 (list r-knitr))
13134 (home-page "https://github.com/RGLab/CytoML")
13135 (synopsis "GatingML interface for cross platform cytometry data sharing")
13136 (description
13137 "This package provides an interface to implementations of the GatingML2.0
13138 standard to exchange gated cytometry data with other software platforms.")
13139 (license license:artistic2.0)))
13140
13141 (define-public r-flowsom
13142 (package
13143 (name "r-flowsom")
13144 (version "2.4.0")
13145 (source
13146 (origin
13147 (method url-fetch)
13148 (uri (bioconductor-uri "FlowSOM" version))
13149 (sha256
13150 (base32
13151 "0balsds5mm981cqamdjv3ndq1y9arharisd6f2lrpkzgvwawa645"))))
13152 (properties `((upstream-name . "FlowSOM")))
13153 (build-system r-build-system)
13154 (propagated-inputs
13155 (list r-biocgenerics
13156 r-colorramps
13157 r-consensusclusterplus
13158 r-cytoml
13159 r-dplyr
13160 r-flowcore
13161 r-flowworkspace
13162 r-ggforce
13163 r-ggnewscale
13164 r-ggplot2
13165 r-ggpointdensity
13166 r-ggpubr
13167 r-ggrepel
13168 r-igraph
13169 r-magrittr
13170 r-pheatmap
13171 r-rcolorbrewer
13172 r-rlang
13173 r-rtsne
13174 r-scattermore
13175 r-tidyr
13176 r-xml))
13177 (home-page "https://bioconductor.org/packages/FlowSOM/")
13178 (synopsis "Visualize and interpret cytometry data")
13179 (description
13180 "FlowSOM offers visualization options for cytometry data, by using
13181 self-organizing map clustering and minimal spanning trees.")
13182 (license license:gpl2+)))
13183
13184 (define-public r-mixomics
13185 (package
13186 (name "r-mixomics")
13187 (version "6.20.0")
13188 (source
13189 (origin
13190 (method url-fetch)
13191 (uri (bioconductor-uri "mixOmics" version))
13192 (sha256
13193 (base32
13194 "0fwc2w7frj0bjijzfckkxf7ipx1z13gw7907q4zr5qfl9mh127w7"))))
13195 (properties `((upstream-name . "mixOmics")))
13196 (build-system r-build-system)
13197 (propagated-inputs
13198 (list r-biocparallel
13199 r-corpcor
13200 r-dplyr
13201 r-ellipse
13202 r-ggrepel
13203 r-ggplot2
13204 r-gridextra
13205 r-igraph
13206 r-lattice
13207 r-mass
13208 r-matrixstats
13209 r-rarpack
13210 r-rcolorbrewer
13211 r-reshape2
13212 r-tidyr))
13213 (native-inputs
13214 (list r-knitr))
13215 (home-page "http://www.mixOmics.org")
13216 (synopsis "Multivariate methods for exploration of biological datasets")
13217 (description
13218 "mixOmics offers a wide range of multivariate methods for the exploration
13219 and integration of biological datasets with a particular focus on variable
13220 selection. The package proposes several sparse multivariate models we have
13221 developed to identify the key variables that are highly correlated, and/or
13222 explain the biological outcome of interest. The data that can be analysed
13223 with mixOmics may come from high throughput sequencing technologies, such as
13224 omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but
13225 also beyond the realm of omics (e.g. spectral imaging). The methods
13226 implemented in mixOmics can also handle missing values without having to
13227 delete entire rows with missing data.")
13228 (license license:gpl2+)))
13229
13230 (define-public r-depecher
13231 (package ;Source/Weave error
13232 (name "r-depecher")
13233 (version "1.12.0")
13234 (source
13235 (origin
13236 (method url-fetch)
13237 (uri (bioconductor-uri "DepecheR" version))
13238 (sha256
13239 (base32
13240 "0rixczdds5gpac50wap6s68kmpdj4208l38gcihkrysz5frbvqjp"))))
13241 (properties `((upstream-name . "DepecheR")))
13242 (build-system r-build-system)
13243 (propagated-inputs
13244 (list r-beanplot
13245 r-dosnow
13246 r-dplyr
13247 r-fnn
13248 r-foreach
13249 r-ggplot2
13250 r-gmodels
13251 r-gplots
13252 r-mass
13253 r-matrixstats
13254 r-mixomics
13255 r-moments
13256 r-rcpp
13257 r-rcppeigen
13258 r-reshape2
13259 r-robustbase
13260 r-viridis))
13261 (native-inputs
13262 (list r-knitr))
13263 (home-page "https://bioconductor.org/packages/DepecheR/")
13264 (synopsis "Identify traits of clusters in high-dimensional entities")
13265 (description
13266 "The purpose of this package is to identify traits in a dataset that can
13267 separate groups. This is done on two levels. First, clustering is performed,
13268 using an implementation of sparse K-means. Secondly, the generated clusters
13269 are used to predict outcomes of groups of individuals based on their
13270 distribution of observations in the different clusters. As certain clusters
13271 with separating information will be identified, and these clusters are defined
13272 by a sparse number of variables, this method can reduce the complexity of
13273 data, to only emphasize the data that actually matters.")
13274 (license license:expat)))
13275
13276 (define-public r-rcistarget
13277 (package
13278 (name "r-rcistarget")
13279 (version "1.16.0")
13280 (source
13281 (origin
13282 (method url-fetch)
13283 (uri (bioconductor-uri "RcisTarget" version))
13284 (sha256
13285 (base32
13286 "17fnjkg6rjqj33v7slg81skqag10y6dc14g5iv69gqshjal4w4im"))))
13287 (properties `((upstream-name . "RcisTarget")))
13288 (build-system r-build-system)
13289 (propagated-inputs
13290 (list r-arrow
13291 r-aucell
13292 r-biocgenerics
13293 r-data-table
13294 r-dplyr
13295 r-genomeinfodb
13296 r-genomicranges
13297 r-gseabase
13298 r-r-utils
13299 r-s4vectors
13300 r-summarizedexperiment
13301 r-tibble))
13302 (native-inputs
13303 (list r-knitr))
13304 (home-page "https://aertslab.org/#scenic")
13305 (synopsis "Identify transcription factor binding motifs enriched on a gene list")
13306 (description
13307 "RcisTarget identifies @dfn{transcription factor binding motifs} (TFBS)
13308 over-represented on a gene list. In a first step, RcisTarget selects DNA
13309 motifs that are significantly over-represented in the surroundings of the
13310 @dfn{transcription start site} (TSS) of the genes in the gene-set. This is
13311 achieved by using a database that contains genome-wide cross-species rankings
13312 for each motif. The motifs that are then annotated to TFs and those that have
13313 a high @dfn{Normalized Enrichment Score} (NES) are retained. Finally, for
13314 each motif and gene-set, RcisTarget predicts the candidate target genes (i.e.
13315 genes in the gene-set that are ranked above the leading edge).")
13316 (license license:gpl3)))
13317
13318 (define-public r-chicago
13319 (package
13320 (name "r-chicago")
13321 (version "1.24.0")
13322 (source
13323 (origin
13324 (method url-fetch)
13325 (uri (bioconductor-uri "Chicago" version))
13326 (sha256
13327 (base32
13328 "13vzxmvxpc3r9gii37zvhhr5nbnaggrva97g6m2n02qn9daf6vmm"))))
13329 (properties `((upstream-name . "Chicago")))
13330 (build-system r-build-system)
13331 (propagated-inputs
13332 (list r-data-table r-delaporte r-hmisc r-mass r-matrixstats))
13333 (native-inputs (list r-knitr))
13334 (home-page "https://bioconductor.org/packages/Chicago")
13335 (synopsis "Capture Hi-C analysis of genomic organization")
13336 (description
13337 "This package provides a pipeline for analysing Capture Hi-C data.")
13338 (license license:artistic2.0)))
13339
13340 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
13341 ;; it here.
13342 (define-public r-ciara
13343 (package
13344 (name "r-ciara")
13345 (version "0.1.0")
13346 (source (origin
13347 (method url-fetch)
13348 (uri (cran-uri "CIARA" version))
13349 (sha256
13350 (base32
13351 "0nr7wks9231326x0lhpbh824c6vcb5hr5jn89s9bmg9mci907bsf"))))
13352 (properties `((upstream-name . "CIARA")))
13353 (build-system r-build-system)
13354 (propagated-inputs (list r-biobase r-ggplot2 r-ggraph r-magrittr))
13355 (native-inputs (list r-knitr))
13356 (home-page "https://cran.r-project.org/package=CIARA")
13357 (synopsis "Cluster-independent algorithm for rare cell types identification")
13358 (description
13359 "This is a package to support identification of markers of rare cell
13360 types by looking at genes whose expression is confined in small regions of the
13361 expression space.")
13362 (license license:artistic2.0)))
13363
13364 (define-public r-cicero
13365 (package
13366 (name "r-cicero")
13367 (version "1.14.0")
13368 (source
13369 (origin
13370 (method url-fetch)
13371 (uri (bioconductor-uri "cicero" version))
13372 (sha256
13373 (base32
13374 "1ip12ijazlmcfbym078slxykpkz7d1zwvs8l8aqdnqpxjfk1ipx5"))))
13375 (build-system r-build-system)
13376 (propagated-inputs
13377 (list r-assertthat
13378 r-biobase
13379 r-biocgenerics
13380 r-data-table
13381 r-dplyr
13382 r-fnn
13383 r-genomicranges
13384 r-ggplot2
13385 r-glasso
13386 r-gviz
13387 r-igraph
13388 r-iranges
13389 r-matrix
13390 r-monocle
13391 r-plyr
13392 r-reshape2
13393 r-s4vectors
13394 r-stringi
13395 r-stringr
13396 r-tibble
13397 r-tidyr
13398 r-vgam))
13399 (native-inputs
13400 (list r-knitr))
13401 (home-page "https://bioconductor.org/packages/cicero/")
13402 (synopsis "Predict cis-co-accessibility from single-cell data")
13403 (description
13404 "Cicero computes putative cis-regulatory maps from single-cell chromatin
13405 accessibility data. It also extends the monocle package for use in chromatin
13406 accessibility data.")
13407 (license license:expat)))
13408
13409 ;; This is the latest commit on the "monocle3" branch.
13410 (define-public r-cicero-monocle3
13411 (let ((commit "fa2fb6515857a8cfc88bc9af044f34de1bcd2b7b")
13412 (revision "1"))
13413 (package (inherit r-cicero)
13414 (name "r-cicero-monocle3")
13415 (version (git-version "1.3.2" revision commit))
13416 (source
13417 (origin
13418 (method git-fetch)
13419 (uri (git-reference
13420 (url "https://github.com/cole-trapnell-lab/cicero-release")
13421 (commit commit)))
13422 (file-name (git-file-name name version))
13423 (sha256
13424 (base32
13425 "077yza93wdhi08n40md20jwk55k9lw1f3y0063qkk90cpz60wi0c"))))
13426 (propagated-inputs
13427 (modify-inputs (package-propagated-inputs r-cicero)
13428 (delete "r-monocle")
13429 (prepend r-monocle3))))))
13430
13431 (define-public r-circrnaprofiler
13432 (package
13433 (name "r-circrnaprofiler")
13434 (version "1.10.0")
13435 (source
13436 (origin
13437 (method url-fetch)
13438 (uri (bioconductor-uri "circRNAprofiler" version))
13439 (sha256
13440 (base32
13441 "1gwm416shhv2p3gh1n6kv1rvx0n0imy25b7z62z4s8b3gs3nfp5j"))))
13442 (properties
13443 `((upstream-name . "circRNAprofiler")))
13444 (build-system r-build-system)
13445 (propagated-inputs
13446 (list r-annotationhub
13447 r-biostrings
13448 r-bsgenome
13449 r-bsgenome-hsapiens-ucsc-hg19
13450 r-deseq2
13451 r-dplyr
13452 r-edger
13453 r-genomeinfodb
13454 r-genomicranges
13455 r-ggplot2
13456 r-gwascat
13457 r-iranges
13458 r-magrittr
13459 r-r-utils
13460 r-readr
13461 r-reshape2
13462 r-rlang
13463 r-rtracklayer
13464 r-s4vectors
13465 r-seqinr
13466 r-stringi
13467 r-stringr
13468 r-universalmotif))
13469 (native-inputs
13470 (list r-knitr))
13471 (home-page
13472 "https://github.com/Aufiero/circRNAprofiler")
13473 (synopsis
13474 "Computational framework for the downstream analysis of circular RNA's")
13475 (description
13476 "@code{r-circrnaprofiler} is a computational framework for a comprehensive
13477 in silico analysis of @dfn{circular RNA} (circRNAs). This computational
13478 framework allows combining and analyzing circRNAs previously detected by
13479 multiple publicly available annotation-based circRNA detection tools. It
13480 covers different aspects of circRNAs analysis from differential expression
13481 analysis, evolutionary conservation, biogenesis to functional analysis.")
13482 (license license:gpl3)))
13483
13484 (define-public r-cistopic
13485 (package
13486 (name "r-cistopic")
13487 (version "2.1.0")
13488 (source
13489 (origin
13490 (method git-fetch)
13491 (uri (git-reference
13492 (url "https://github.com/aertslab/cisTopic")
13493 (commit (string-append "v" version))))
13494 (file-name (git-file-name name version))
13495 (sha256
13496 (base32
13497 "0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf"))))
13498 (build-system r-build-system)
13499 (propagated-inputs
13500 (list r-aucell
13501 r-data-table
13502 r-dplyr
13503 r-dosnow
13504 r-dt
13505 r-feather
13506 r-fitdistrplus
13507 r-genomicranges
13508 r-ggplot2
13509 r-lda
13510 r-matrix
13511 r-plyr
13512 r-rcistarget
13513 r-rtracklayer
13514 r-s4vectors))
13515 (home-page "https://github.com/aertslab/cisTopic")
13516 (synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
13517 (description
13518 "The sparse nature of single cell epigenomics data can be overruled using
13519 probabilistic modelling methods such as @dfn{Latent Dirichlet
13520 Allocation} (LDA). This package allows the probabilistic modelling of
13521 cis-regulatory topics (cisTopics) from single cell epigenomics data, and
13522 includes functionalities to identify cell states based on the contribution of
13523 cisTopics and explore the nature and regulatory proteins driving them.")
13524 (license license:gpl3)))
13525
13526 (define-public r-cistopic-next
13527 (let ((commit "04cecbb9d1112fcc1a6edc28b5a506bcb49f2803")
13528 (revision "1"))
13529 (package
13530 (inherit r-cistopic)
13531 (name "r-cistopic-next")
13532 ;; The DESCRIPTION file says this is version 0.3.0, which is a bit odd
13533 ;; since the previous release is 2.1.0. Oh well.
13534 (version (git-version "0.3.0" revision commit))
13535 (source
13536 (origin
13537 (method git-fetch)
13538 (uri (git-reference
13539 (url "https://github.com/aertslab/cisTopic")
13540 (commit commit)))
13541 (file-name (git-file-name name version))
13542 (sha256
13543 (base32
13544 "11cg9szlysnsjiaahda4k5v2vh4rxx27zhz53hafgaq9mdz0kgi2"))))
13545 (properties `((upstream-name . "cisTopic")))
13546 (propagated-inputs
13547 (list r-aucell
13548 r-data-table
13549 r-dosnow
13550 r-dplyr
13551 r-dt
13552 r-feather
13553 r-fitdistrplus
13554 r-genomicranges
13555 r-ggplot2
13556 r-lda
13557 r-matrix
13558 r-plyr
13559 r-rcistarget
13560 r-rtracklayer
13561 r-s4vectors
13562 r-text2vec))
13563 (native-inputs
13564 (list r-knitr)))))
13565
13566 (define-public r-genie3
13567 (package
13568 (name "r-genie3")
13569 (version "1.18.0")
13570 (source
13571 (origin
13572 (method url-fetch)
13573 (uri (bioconductor-uri "GENIE3" version))
13574 (sha256
13575 (base32
13576 "0h3vnpnznb9rda8gfwp4cnd2mqsvs1vzmfx90dchn5pqaphz1k2l"))))
13577 (properties `((upstream-name . "GENIE3")))
13578 (build-system r-build-system)
13579 (propagated-inputs
13580 (list r-dplyr r-reshape2))
13581 (native-inputs
13582 (list r-knitr))
13583 (home-page "https://bioconductor.org/packages/GENIE3")
13584 (synopsis "Gene network inference with ensemble of trees")
13585 (description
13586 "This package implements the GENIE3 algorithm for inferring gene
13587 regulatory networks from expression data.")
13588 (license license:gpl2+)))
13589
13590 (define-public r-roc
13591 (package
13592 (name "r-roc")
13593 (version "1.72.0")
13594 (source
13595 (origin
13596 (method url-fetch)
13597 (uri (bioconductor-uri "ROC" version))
13598 (sha256
13599 (base32
13600 "0yfq0d0j2bzqdnjs6l2h6p48kmv9wfphlqym3brgndlnadipq1v2"))))
13601 (properties `((upstream-name . "ROC")))
13602 (build-system r-build-system)
13603 (native-inputs
13604 (list r-knitr))
13605 (home-page "https://www.bioconductor.org/packages/ROC/")
13606 (synopsis "Utilities for ROC curves")
13607 (description
13608 "This package provides utilities for @dfn{Receiver Operating
13609 Characteristic} (ROC) curves, with a focus on micro arrays.")
13610 (license license:artistic2.0)))
13611
13612 (define-public r-watermelon
13613 (package
13614 (name "r-watermelon")
13615 (version "2.2.0")
13616 (source
13617 (origin
13618 (method url-fetch)
13619 (uri (bioconductor-uri "wateRmelon" version))
13620 (sha256
13621 (base32
13622 "0adqyfabrvfcaj3mwp0rbqlcgpj92yb205cyhibbrs5gdr5ri4pv"))))
13623 (properties `((upstream-name . "wateRmelon")))
13624 (build-system r-build-system)
13625 (propagated-inputs
13626 (list r-biobase
13627 r-illuminahumanmethylation450kanno-ilmn12-hg19
13628 r-illuminaio
13629 r-limma
13630 r-lumi
13631 r-matrixstats
13632 r-methylumi
13633 r-roc))
13634 (native-inputs
13635 (list r-knitr))
13636 (home-page "https://bioconductor.org/packages/wateRmelon/")
13637 (synopsis "Illumina 450 methylation array normalization and metrics")
13638 (description
13639 "The standard index of DNA methylation (beta) is computed from methylated
13640 and unmethylated signal intensities. Betas calculated from raw signal
13641 intensities perform well, but using 11 methylomic datasets we demonstrate that
13642 quantile normalization methods produce marked improvement. The commonly used
13643 procedure of normalizing betas is inferior to the separate normalization of M
13644 and U, and it is also advantageous to normalize Type I and Type II assays
13645 separately. This package provides 15 flavours of betas and three performance
13646 metrics, with methods for objects produced by the @code{methylumi} and
13647 @code{minfi} packages.")
13648 (license license:gpl3)))
13649
13650 (define-public r-gdsfmt
13651 (package
13652 (name "r-gdsfmt")
13653 (version "1.32.0")
13654 (source
13655 (origin
13656 (method url-fetch)
13657 (uri (bioconductor-uri "gdsfmt" version))
13658 (sha256
13659 (base32
13660 "1cdwyivgfc6yw5hj9b3j57wx55gckwhx6fwx2lvqynrjzjyzf3q0"))
13661 (modules '((guix build utils)))
13662 ;; Remove bundled sources of zlib, lz4, and xz. Don't attempt to build
13663 ;; them and link with system libraries instead.
13664 (snippet
13665 '(begin
13666 (for-each delete-file-recursively
13667 '("src/LZ4"
13668 "src/XZ"
13669 "src/ZLIB"))
13670 (substitute* "src/Makevars"
13671 (("all: \\$\\(SHLIB\\)") "all:")
13672 (("\\$\\(SHLIB\\): liblzma.a") "")
13673 (("^ (ZLIB|LZ4)/.*") "")
13674 (("CoreArray/dVLIntGDS.cpp.*")
13675 "CoreArray/dVLIntGDS.cpp")
13676 (("CoreArray/dVLIntGDS.o.*")
13677 "CoreArray/dVLIntGDS.o")
13678 (("PKG_LIBS = ./liblzma.a")
13679 "PKG_LIBS = -llz4"))
13680 (substitute* "src/CoreArray/dStream.h"
13681 (("include \"../(ZLIB|LZ4|XZ/api)/(.*)\"" _ _ header)
13682 (string-append "include <" header ">")))))))
13683 (properties `((upstream-name . "gdsfmt")))
13684 (build-system r-build-system)
13685 (inputs
13686 (list lz4 xz zlib))
13687 (native-inputs
13688 (list r-knitr))
13689 (home-page "http://corearray.sourceforge.net/")
13690 (synopsis
13691 "R Interface to CoreArray Genomic Data Structure (GDS) Files")
13692 (description
13693 "This package provides a high-level R interface to CoreArray @dfn{Genomic
13694 Data Structure} (GDS) data files, which are portable across platforms with
13695 hierarchical structure to store multiple scalable array-oriented data sets
13696 with metadata information. It is suited for large-scale datasets, especially
13697 for data which are much larger than the available random-access memory. The
13698 @code{gdsfmt} package offers efficient operations specifically designed for
13699 integers of less than 8 bits, since a diploid genotype, like
13700 @dfn{single-nucleotide polymorphism} (SNP), usually occupies fewer bits than a
13701 byte. Data compression and decompression are available with relatively
13702 efficient random access. It is also allowed to read a GDS file in parallel
13703 with multiple R processes supported by the package @code{parallel}.")
13704 (license license:lgpl3)))
13705
13706 (define-public r-bigmelon
13707 (package
13708 (name "r-bigmelon")
13709 (version "1.22.0")
13710 (source
13711 (origin
13712 (method url-fetch)
13713 (uri (bioconductor-uri "bigmelon" version))
13714 (sha256
13715 (base32
13716 "1msch4qbifkdqv0bbw03xj6d9w28z91mf4ki41rqg6048cq17h2k"))))
13717 (properties `((upstream-name . "bigmelon")))
13718 (build-system r-build-system)
13719 (propagated-inputs
13720 (list r-biobase
13721 r-biocgenerics
13722 r-gdsfmt
13723 r-geoquery
13724 r-illuminaio
13725 r-methylumi
13726 r-minfi
13727 r-watermelon))
13728 (native-inputs
13729 (list r-knitr))
13730 (home-page "https://bioconductor.org/packages/bigmelon/")
13731 (synopsis "Illumina methylation array analysis for large experiments")
13732 (description
13733 "This package provides methods for working with Illumina arrays using the
13734 @code{gdsfmt} package.")
13735 (license license:gpl3)))
13736
13737 (define-public r-seqbias
13738 (package
13739 (name "r-seqbias")
13740 (version "1.44.0")
13741 (source
13742 (origin
13743 (method url-fetch)
13744 (uri (bioconductor-uri "seqbias" version))
13745 (sha256
13746 (base32
13747 "085nq6pf0bdn17wsbr5jnyy512v7rf67xff9rp5wz47mcifbv6rg"))))
13748 (properties `((upstream-name . "seqbias")))
13749 (build-system r-build-system)
13750 (propagated-inputs
13751 (list r-biostrings r-genomicranges r-rhtslib))
13752 (home-page "https://bioconductor.org/packages/seqbias/")
13753 (synopsis "Estimation of per-position bias in high-throughput sequencing data")
13754 (description
13755 "This package implements a model of per-position sequencing bias in
13756 high-throughput sequencing data using a simple Bayesian network, the structure
13757 and parameters of which are trained on a set of aligned reads and a reference
13758 genome sequence.")
13759 (license license:lgpl3)))
13760
13761 (define-public r-reqon
13762 (package
13763 (name "r-reqon")
13764 (version "1.42.0")
13765 (source
13766 (origin
13767 (method url-fetch)
13768 (uri (bioconductor-uri "ReQON" version))
13769 (sha256
13770 (base32
13771 "1f5pplm8fy3wvl0b6n18gph4dq9i9x5qiyjrj0bk0kwlkbpba74r"))))
13772 (properties `((upstream-name . "ReQON")))
13773 (build-system r-build-system)
13774 (propagated-inputs
13775 (list r-rjava r-rsamtools r-seqbias))
13776 (home-page "https://bioconductor.org/packages/ReQON/")
13777 (synopsis "Recalibrating quality of nucleotides")
13778 (description
13779 "This package provides an implementation of an algorithm for
13780 recalibrating the base quality scores for aligned sequencing data in BAM
13781 format.")
13782 (license license:gpl2)))
13783
13784 (define-public r-wavcluster
13785 (package
13786 (name "r-wavcluster")
13787 (version "2.30.0")
13788 (source
13789 (origin
13790 (method url-fetch)
13791 (uri (bioconductor-uri "wavClusteR" version))
13792 (sha256
13793 (base32
13794 "04di095i9i19j9ppx8gdsk7n18vd02d4rjdi9d4a3p0xv05ihnb6"))))
13795 (properties `((upstream-name . "wavClusteR")))
13796 (build-system r-build-system)
13797 (propagated-inputs
13798 (list r-biocgenerics
13799 r-biostrings
13800 r-foreach
13801 r-genomicfeatures
13802 r-genomicranges
13803 r-ggplot2
13804 r-hmisc
13805 r-iranges
13806 r-mclust
13807 r-rsamtools
13808 r-rtracklayer
13809 r-s4vectors
13810 r-seqinr
13811 r-stringr))
13812 (native-inputs
13813 (list r-knitr))
13814 (home-page "https://bioconductor.org/packages/wavClusteR/")
13815 (synopsis "Identification of RNA-protein interaction sites in PAR-CLIP data")
13816 (description
13817 "This package provides an integrated pipeline for the analysis of
13818 PAR-CLIP data. PAR-CLIP-induced transitions are first discriminated from
13819 sequencing errors, SNPs and additional non-experimental sources by a non-
13820 parametric mixture model. The protein binding sites (clusters) are then
13821 resolved at high resolution and cluster statistics are estimated using a
13822 rigorous Bayesian framework. Post-processing of the results, data export for
13823 UCSC genome browser visualization and motif search analysis are provided. In
13824 addition, the package integrates RNA-Seq data to estimate the False
13825 Discovery Rate of cluster detection. Key functions support parallel multicore
13826 computing. While wavClusteR was designed for PAR-CLIP data analysis, it can
13827 be applied to the analysis of other NGS data obtained from experimental
13828 procedures that induce nucleotide substitutions (e.g. BisSeq).")
13829 (license license:gpl2)))
13830
13831 (define-public r-timeseriesexperiment
13832 (package
13833 (name "r-timeseriesexperiment")
13834 (version "1.13.0")
13835 (source
13836 (origin
13837 (method url-fetch)
13838 (uri (bioconductor-uri "TimeSeriesExperiment" version))
13839 (sha256
13840 (base32
13841 "0bdpxxr739qdg92qabfx122k9f43vw2hyxp4yxqlbp37vzgcdf2c"))))
13842 (properties
13843 `((upstream-name . "TimeSeriesExperiment")))
13844 (build-system r-build-system)
13845 (propagated-inputs
13846 (list r-deseq2
13847 r-dplyr
13848 r-dynamictreecut
13849 r-edger
13850 r-ggplot2
13851 r-hmisc
13852 r-limma
13853 r-magrittr
13854 r-proxy
13855 r-s4vectors
13856 r-summarizedexperiment
13857 r-tibble
13858 r-tidyr
13859 r-vegan
13860 r-viridis))
13861 (native-inputs
13862 (list r-knitr))
13863 (home-page "https://github.com/nlhuong/TimeSeriesExperiment/")
13864 (synopsis "Analysis for short time-series data")
13865 (description
13866 "This package is a visualization and analysis toolbox for short time
13867 course data which includes dimensionality reduction, clustering, two-sample
13868 differential expression testing and gene ranking techniques. The package also
13869 provides methods for retrieving enriched pathways.")
13870 (license license:lgpl3+)))
13871
13872 (define-public r-variantfiltering
13873 (package
13874 (name "r-variantfiltering")
13875 (version "1.32.0")
13876 (source
13877 (origin
13878 (method url-fetch)
13879 (uri (bioconductor-uri "VariantFiltering" version))
13880 (sha256
13881 (base32
13882 "1bjqn8qik221x0bqvgd99p87v45iihwp6cxckh4ks964pd0c1xk8"))))
13883 (properties
13884 `((upstream-name . "VariantFiltering")))
13885 (build-system r-build-system)
13886 (propagated-inputs
13887 (list r-annotationdbi
13888 r-biobase
13889 r-biocgenerics
13890 r-biocparallel
13891 r-biostrings
13892 r-bsgenome
13893 r-dt
13894 r-genomeinfodb
13895 r-genomicfeatures
13896 r-genomicranges
13897 r-genomicscores
13898 r-graph
13899 r-gviz
13900 r-iranges
13901 r-rbgl
13902 r-rsamtools
13903 r-s4vectors
13904 r-shiny
13905 r-shinyjs
13906 r-shinythemes
13907 r-shinytree
13908 r-summarizedexperiment
13909 r-variantannotation
13910 r-xvector))
13911 (home-page "https://github.com/rcastelo/VariantFiltering")
13912 (synopsis "Filtering of coding and non-coding genetic variants")
13913 (description
13914 "Filter genetic variants using different criteria such as inheritance
13915 model, amino acid change consequence, minor allele frequencies across human
13916 populations, splice site strength, conservation, etc.")
13917 (license license:artistic2.0)))
13918
13919 (define-public r-genomegraphs
13920 (package
13921 (name "r-genomegraphs")
13922 (version "1.46.0")
13923 (source
13924 (origin
13925 (method url-fetch)
13926 (uri (bioconductor-uri "GenomeGraphs" version))
13927 (sha256
13928 (base32
13929 "05vavhz936v7cknig2f2mn3fd9fiy54r3swlvifpawramblp1ags"))))
13930 (properties `((upstream-name . "GenomeGraphs")))
13931 (build-system r-build-system)
13932 (propagated-inputs
13933 (list r-biomart))
13934 (home-page "https://bioconductor.org/packages/GenomeGraphs/")
13935 (synopsis "Plotting genomic information from Ensembl")
13936 (description
13937 "Genomic data analyses requires integrated visualization of known genomic
13938 information and new experimental data. GenomeGraphs uses the biomaRt package
13939 to perform live annotation queries to Ensembl and translates this to e.g.
13940 gene/transcript structures in viewports of the grid graphics package. This
13941 results in genomic information plotted together with your data. Another
13942 strength of GenomeGraphs is to plot different data types such as array CGH,
13943 gene expression, sequencing and other data, together in one plot using the
13944 same genome coordinate system.")
13945 (license license:artistic2.0)))
13946
13947 (define-public r-wavetiling
13948 (package
13949 (name "r-wavetiling")
13950 (version "1.28.0")
13951 (source
13952 (origin
13953 (method url-fetch)
13954 (uri (bioconductor-uri "waveTiling" version))
13955 (sha256
13956 (base32
13957 "0d7l559zlmly8mncmh1zhkqmsml0bwwfpm7ccp8l26y852vwf7hf"))))
13958 (properties `((upstream-name . "waveTiling")))
13959 (build-system r-build-system)
13960 (propagated-inputs
13961 (list r-affy
13962 r-biobase
13963 r-biostrings
13964 r-genomegraphs
13965 r-genomicranges
13966 r-iranges
13967 r-oligo
13968 r-oligoclasses
13969 r-preprocesscore
13970 r-waveslim))
13971 (home-page "https://r-forge.r-project.org/projects/wavetiling/")
13972 (synopsis "Wavelet-based models for tiling array transcriptome analysis")
13973 (description
13974 "This package is designed to conduct transcriptome analysis for tiling
13975 arrays based on fast wavelet-based functional models.")
13976 (license license:gpl2+)))
13977
13978 (define-public r-variancepartition
13979 (package
13980 (name "r-variancepartition")
13981 (version "1.26.0")
13982 (source
13983 (origin
13984 (method url-fetch)
13985 (uri (bioconductor-uri "variancePartition" version))
13986 (sha256
13987 (base32
13988 "0wk1xql8b0gxyrqz9hs54xvmp7qdw9b8jnv88p4vgv061iwyk7wv"))))
13989 (properties
13990 `((upstream-name . "variancePartition")))
13991 (build-system r-build-system)
13992 (propagated-inputs
13993 (list r-aod
13994 r-biobase
13995 r-biocparallel
13996 r-doparallel
13997 r-foreach
13998 r-ggplot2
13999 r-gplots
14000 r-iterators
14001 r-limma
14002 r-lme4
14003 r-lmertest
14004 r-mass
14005 r-matrix
14006 r-pbkrtest
14007 r-progress
14008 r-rdpack
14009 r-reshape2
14010 r-rhpcblasctl
14011 r-rlang
14012 r-scales))
14013 (native-inputs
14014 (list r-knitr))
14015 (home-page "https://bioconductor.org/packages/variancePartition/")
14016 (synopsis "Analyze variation in gene expression experiments")
14017 (description
14018 "This is a package providing tools to quantify and interpret multiple
14019 sources of biological and technical variation in gene expression experiments.
14020 It uses a linear mixed model to quantify variation in gene expression
14021 attributable to individual, tissue, time point, or technical variables. The
14022 package includes dream differential expression analysis for repeated
14023 measures.")
14024 (license license:gpl2+)))
14025
14026 (define-public r-htqpcr
14027 (package
14028 (name "r-htqpcr")
14029 (version "1.50.0")
14030 (source
14031 (origin
14032 (method url-fetch)
14033 (uri (bioconductor-uri "HTqPCR" version))
14034 (sha256
14035 (base32
14036 "0am98rzwpi3kybq1l27c5qn3n1pg5aqwmh6jq9q0lzbjjin3haqc"))))
14037 (properties `((upstream-name . "HTqPCR")))
14038 (build-system r-build-system)
14039 (propagated-inputs
14040 (list r-affy r-biobase r-gplots r-limma r-rcolorbrewer))
14041 (home-page (string-append "https://www.ebi.ac.uk/sites/ebi.ac.uk/files/"
14042 "groups/bertone/software/HTqPCR.pdf"))
14043 (synopsis "Automated analysis of high-throughput qPCR data")
14044 (description
14045 "Analysis of Ct values from high throughput quantitative real-time
14046 PCR (qPCR) assays across multiple conditions or replicates. The input data
14047 can be from spatially-defined formats such ABI TaqMan Low Density Arrays or
14048 OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad
14049 Laboratories; conventional 96- or 384-well plates; or microfluidic devices
14050 such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data
14051 loading, quality assessment, normalization, visualization and parametric or
14052 non-parametric testing for statistical significance in Ct values between
14053 features (e.g. genes, microRNAs).")
14054 (license license:artistic2.0)))
14055
14056 (define-public r-unifiedwmwqpcr
14057 (package
14058 (name "r-unifiedwmwqpcr")
14059 (version "1.32.0")
14060 (source
14061 (origin
14062 (method url-fetch)
14063 (uri (bioconductor-uri "unifiedWMWqPCR" version))
14064 (sha256
14065 (base32
14066 "1skfs94a6bv05c844zf5vfqw1fbgxyppgdnckdbhxg2a2470a4wh"))))
14067 (properties
14068 `((upstream-name . "unifiedWMWqPCR")))
14069 (build-system r-build-system)
14070 (propagated-inputs
14071 (list r-biocgenerics r-htqpcr))
14072 (home-page "https://bioconductor.org/packages/unifiedWMWqPCR")
14073 (synopsis "Unified Wilcoxon-Mann Whitney Test for differential expression in qPCR data")
14074 (description
14075 "This package implements the unified Wilcoxon-Mann-Whitney Test for qPCR
14076 data. This modified test allows for testing differential expression in qPCR
14077 data.")
14078 (license license:gpl2+)))
14079
14080 (define-public r-universalmotif
14081 (package
14082 (name "r-universalmotif")
14083 (version "1.14.1")
14084 (source
14085 (origin
14086 (method url-fetch)
14087 (uri (bioconductor-uri "universalmotif" version))
14088 (sha256
14089 (base32
14090 "1sm54z8aq3534qjsa19wychhwcvwnjlkydmiqqvidiiwcxwqpjsr"))))
14091 (properties
14092 `((upstream-name . "universalmotif")))
14093 (build-system r-build-system)
14094 (arguments
14095 `(#:phases
14096 (modify-phases %standard-phases
14097 (add-after 'unpack 'fix-reference-to-strip
14098 (lambda _
14099 (substitute* "src/Makevars"
14100 (("/usr/bin/strip") (which "strip"))))))))
14101 (propagated-inputs
14102 (list r-biocgenerics
14103 r-biostrings
14104 r-ggplot2
14105 r-iranges
14106 r-mass
14107 r-rcpp
14108 r-rcppthread
14109 r-rlang
14110 r-s4vectors
14111 r-yaml))
14112 (native-inputs
14113 (list r-knitr))
14114 (home-page
14115 "https://bioconductor.org/packages/universalmotif/")
14116 (synopsis
14117 "Specific structures importer, modifier, and exporter for R")
14118 (description
14119 "This package allows importing most common @dfn{specific structure}
14120 (motif) types into R for use by functions provided by other Bioconductor
14121 motif-related packages. Motifs can be exported into most major motif formats
14122 from various classes as defined by other Bioconductor packages. A suite of
14123 motif and sequence manipulation and analysis functions are included, including
14124 enrichment, comparison, P-value calculation, shuffling, trimming, higher-order
14125 motifs, and others.")
14126 (license license:gpl3)))
14127
14128 (define-public r-ace
14129 (package
14130 (name "r-ace")
14131 (version "1.14.0")
14132 (source (origin
14133 (method url-fetch)
14134 (uri (bioconductor-uri "ACE" version))
14135 (sha256
14136 (base32
14137 "1xnw288vz810vjkidar5h218wyc0q2hx0k4zi3r88vaz5rfhc05m"))))
14138 (properties `((upstream-name . "ACE")))
14139 (build-system r-build-system)
14140 (propagated-inputs (list r-biobase r-genomicranges r-ggplot2 r-qdnaseq))
14141 (native-inputs (list r-knitr))
14142 (home-page "https://github.com/tgac-vumc/ACE")
14143 (synopsis
14144 "Absolute copy number estimation from low-coverage whole genome sequencing")
14145 (description
14146 "This package uses segmented copy number data to estimate tumor cell
14147 percentage and produce copy number plots displaying absolute copy numbers. For
14148 this it uses segmented data from the @code{QDNAseq} package, which in turn uses
14149 a number of dependencies to turn mapped reads into segmented data. @code{ACE}
14150 will run @code{QDNAseq} or use its output rds-file of segmented data. It will
14151 subsequently run through all samples in the object(s), for which it will create
14152 individual subdirectories. For each sample, it will calculate how well the
14153 segments fit (the relative error) to integer copy numbers for each percentage
14154 of @dfn{tumor cells} (cells with divergent segments).")
14155 (license license:gpl2)))
14156
14157 (define-public r-acgh
14158 (package
14159 (name "r-acgh")
14160 (version "1.74.0")
14161 (source (origin
14162 (method url-fetch)
14163 (uri (bioconductor-uri "aCGH" version))
14164 (sha256
14165 (base32
14166 "00ni0kwy68v33ggfi8g5vffirhmbhaxg4l54hcqhx75m535z1x7d"))))
14167 (properties `((upstream-name . "aCGH")))
14168 (build-system r-build-system)
14169 (propagated-inputs (list r-biobase r-cluster r-multtest r-survival))
14170 (home-page "https://bioconductor.org/packages/aCGH")
14171 (synopsis
14172 "Classes and functions for array comparative genomic hybridization data")
14173 (description
14174 "This package provides functions for reading
14175 @dfn{array comparative genomic hybridization} (aCGH) data from image analysis
14176 output files and clone information files, creation of @code{aCGH} objects for
14177 storing these data. Basic methods are accessing/replacing, subsetting,
14178 printing and plotting @code{aCGH} objects.")
14179 (license license:gpl2)))
14180
14181 (define-public r-acme
14182 (package
14183 (name "r-acme")
14184 (version "2.52.0")
14185 (source (origin
14186 (method url-fetch)
14187 (uri (bioconductor-uri "ACME" version))
14188 (sha256
14189 (base32
14190 "0ilcsgpc4m47gifxc0yzx2xi3g4day515mncnnjvfdj3iq8xwk25"))))
14191 (properties `((upstream-name . "ACME")))
14192 (build-system r-build-system)
14193 (propagated-inputs (list r-biobase r-biocgenerics))
14194 (home-page "https://bioconductor.org/packages/aCGH/")
14195 (synopsis "Calculating microarray enrichment")
14196 (description
14197 "This package implements @dfn{algorithms for calculating microarray
14198 enrichment} (ACME), and it is a set of tools for analysing tiling array of
14199 @dfn{combined chromatin immunoprecipitation with DNA microarray} (ChIP/chip),
14200 DNAse hypersensitivity, or other experiments that result in regions of the
14201 genome showing enrichment. It does not rely on a specific array technology
14202 (although the array should be a tiling array), is very general (can be applied
14203 in experiments resulting in regions of enrichment), and is very insensitive to
14204 array noise or normalization methods. It is also very fast and can be applied
14205 on whole-genome tiling array experiments quite easily with enough memory.")
14206 (license license:gpl2+)))
14207
14208 (define-public r-acde
14209 (package
14210 (name "r-acde")
14211 (version "1.26.0")
14212 (source (origin
14213 (method url-fetch)
14214 (uri (bioconductor-uri "acde" version))
14215 (sha256
14216 (base32
14217 "0lgq546y4qklfzbc6fjr3d656hn76p6dn4694qfiafql2nlsjbj2"))))
14218 (properties `((upstream-name . "acde")))
14219 (build-system r-build-system)
14220 (propagated-inputs (list r-boot))
14221 (home-page "https://bioconductor.org/packages/acde")
14222 (synopsis
14223 "Identification of differentially expressed genes with artificial components")
14224 (description
14225 "This package provides a multivariate inferential analysis method for
14226 detecting differentially expressed genes in gene expression data. It uses
14227 artificial components, close to the data's principal components but with an
14228 exact interpretation in terms of differential genetic expression, to identify
14229 differentially expressed genes while controlling the @dfn{false discovery
14230 rate} (FDR).")
14231 (license license:gpl3)))
14232
14233 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
14234 ;; it here.
14235 (define-public r-activedriverwgs
14236 (package
14237 (name "r-activedriverwgs")
14238 (version "1.2.0")
14239 (source
14240 (origin
14241 (method url-fetch)
14242 (uri (cran-uri "ActiveDriverWGS" version))
14243 (sha256
14244 (base32
14245 "0xnplgwxd197a4d422bsxg753q158i12ils16awd1cw30wafdxkk"))))
14246 (properties
14247 `((upstream-name . "ActiveDriverWGS")))
14248 (build-system r-build-system)
14249 (propagated-inputs
14250 (list r-biostrings
14251 r-bsgenome
14252 r-bsgenome-hsapiens-ucsc-hg19
14253 r-bsgenome-hsapiens-ucsc-hg38
14254 r-bsgenome-mmusculus-ucsc-mm9
14255 r-bsgenome-mmusculus-ucsc-mm10
14256 r-genomeinfodb
14257 r-genomicranges
14258 r-iranges
14259 r-s4vectors))
14260 (native-inputs
14261 (list r-knitr))
14262 (home-page "https://cran.r-project.org/web/packages/ActiveDriverWGS/")
14263 (synopsis "Driver discovery tool for cancer whole genomes")
14264 (description
14265 "This package provides a method for finding an enrichment of cancer
14266 simple somatic mutations (SNVs and Indels) in functional elements across the
14267 human genome. ActiveDriverWGS detects coding and noncoding driver elements
14268 using whole genome sequencing data.")
14269 (license license:gpl3)))
14270
14271 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
14272 ;; it here.
14273 (define-public r-activepathways
14274 (package
14275 (name "r-activepathways")
14276 (version "1.1.1")
14277 (source
14278 (origin
14279 (method url-fetch)
14280 (uri (cran-uri "ActivePathways" version))
14281 (sha256
14282 (base32
14283 "1crq164vyqhdq5y3q09k3m5zljqrhcd5ak0jrc0xqvzf0pasml2m"))))
14284 (properties
14285 `((upstream-name . "ActivePathways")))
14286 (build-system r-build-system)
14287 (propagated-inputs
14288 (list r-data-table r-ggplot2))
14289 (native-inputs
14290 (list r-knitr))
14291 (home-page "https://cran.r-project.org/web/packages/ActivePathways/")
14292 (synopsis "Multivariate pathway enrichment analysis")
14293 (description
14294 "This package represents an integrative method of analyzing multi omics
14295 data that conducts enrichment analysis of annotated gene sets. ActivePathways
14296 uses a statistical data fusion approach, rationalizes contributing evidence
14297 and highlights associated genes, improving systems-level understanding of
14298 cellular organization in health and disease.")
14299 (license license:gpl3)))
14300
14301 (define-public r-bgmix
14302 (package
14303 (name "r-bgmix")
14304 (version "1.56.0")
14305 (source
14306 (origin
14307 (method url-fetch)
14308 (uri (bioconductor-uri "BGmix" version))
14309 (sha256
14310 (base32
14311 "03f6nknp3n49yvg2d9qsmds676rva70pr4wjz0md228jczgjk0vj"))))
14312 (properties `((upstream-name . "BGmix")))
14313 (build-system r-build-system)
14314 (propagated-inputs
14315 (list r-kernsmooth))
14316 (home-page "https://bioconductor.org/packages/BGmix/")
14317 (synopsis "Bayesian models for differential gene expression")
14318 (description
14319 "This package provides fully Bayesian mixture models for differential
14320 gene expression.")
14321 (license license:gpl2)))
14322
14323 (define-public r-bgx
14324 (package
14325 (name "r-bgx")
14326 (version "1.62.0")
14327 (source
14328 (origin
14329 (method url-fetch)
14330 (uri (bioconductor-uri "bgx" version))
14331 (sha256
14332 (base32
14333 "0q2y4n6bcc9pvz5sgfkw1lrb00rrp7q29i1vh7srdfmfhgpyz6bk"))))
14334 (properties `((upstream-name . "bgx")))
14335 (build-system r-build-system)
14336 (arguments
14337 (list
14338 #:phases
14339 '(modify-phases %standard-phases
14340 (add-after 'unpack 'do-not-tune-cflags-for-reproducibility
14341 (lambda _
14342 (substitute* "configure.ac"
14343 (("AX_GCC_ARCHFLAG.*") ""))
14344 (delete-file "configure")
14345 (invoke "autoreconf" "-vif"))))))
14346 (inputs
14347 (list boost))
14348 (propagated-inputs
14349 (list r-affy r-biobase r-gcrma r-rcpp))
14350 (native-inputs
14351 (list autoconf automake))
14352 (home-page "https://bioconductor.org/packages/bgx/")
14353 (synopsis "Bayesian gene expression")
14354 (description
14355 "This package provides tools for Bayesian integrated analysis of
14356 Affymetrix GeneChips.")
14357 (license license:gpl2)))
14358
14359 (define-public r-bhc
14360 (package
14361 (name "r-bhc")
14362 (version "1.48.0")
14363 (source
14364 (origin
14365 (method url-fetch)
14366 (uri (bioconductor-uri "BHC" version))
14367 (sha256
14368 (base32
14369 "1kqajd16981y5yaak2imaq1i7pilgqdr3nbhggsakh787j1d9rc5"))))
14370 (properties `((upstream-name . "BHC")))
14371 (build-system r-build-system)
14372 (home-page "https://bioconductor.org/packages/BHC/")
14373 (synopsis "Bayesian hierarchical clustering")
14374 (description
14375 "The method implemented in this package performs bottom-up hierarchical
14376 clustering, using a Dirichlet Process (infinite mixture) to model uncertainty
14377 in the data and Bayesian model selection to decide at each step which clusters
14378 to merge. This avoids several limitations of traditional methods, for example
14379 how many clusters there should be and how to choose a principled distance
14380 metric. This implementation accepts multinomial (i.e. discrete, with 2+
14381 categories) or time-series data. This version also includes a randomised
14382 algorithm which is more efficient for larger data sets.")
14383 (license license:gpl3)))
14384
14385 (define-public r-bicare
14386 (package
14387 (name "r-bicare")
14388 (version "1.54.0")
14389 (source
14390 (origin
14391 (method url-fetch)
14392 (uri (bioconductor-uri "BicARE" version))
14393 (sha256
14394 (base32
14395 "0qjh5bsjcjry6k1vzdaascwy2shjrkc2bw0w57w0qa458cbi89z2"))))
14396 (properties `((upstream-name . "BicARE")))
14397 (build-system r-build-system)
14398 (propagated-inputs
14399 (list r-biobase r-gseabase r-multtest))
14400 (home-page "http://bioinfo.curie.fr")
14401 (synopsis "Biclustering analysis and results exploration")
14402 (description
14403 "This is a package for biclustering analysis and exploration of
14404 results.")
14405 (license license:gpl2)))
14406
14407 (define-public r-bifet
14408 (package
14409 (name "r-bifet")
14410 (version "1.16.0")
14411 (source
14412 (origin
14413 (method url-fetch)
14414 (uri (bioconductor-uri "BiFET" version))
14415 (sha256
14416 (base32
14417 "03ypbbn8i0f4bl4m6wfdcv702jydniak56wqjb1vlrckd9aphwzq"))))
14418 (properties `((upstream-name . "BiFET")))
14419 (build-system r-build-system)
14420 (propagated-inputs
14421 (list r-genomicranges r-poibin))
14422 (native-inputs
14423 (list r-knitr))
14424 (home-page "https://bioconductor.org/packages/BiFET")
14425 (synopsis "Bias-free footprint enrichment test")
14426 (description
14427 "BiFET identifies @dfn{transcription factors} (TFs) whose footprints are
14428 over-represented in target regions compared to background regions after
14429 correcting for the bias arising from the imbalance in read counts and GC
14430 contents between the target and background regions. For a given TF k, BiFET
14431 tests the null hypothesis that the target regions have the same probability of
14432 having footprints for the TF k as the background regions while correcting for
14433 the read count and GC content bias.")
14434 (license license:gpl3)))
14435
14436 (define-public r-rsbml
14437 (package
14438 (name "r-rsbml")
14439 (version "2.54.0")
14440 (source
14441 (origin
14442 (method url-fetch)
14443 (uri (bioconductor-uri "rsbml" version))
14444 (sha256
14445 (base32
14446 "1v11pspkml6xdsacgwxw8r4qdhbnn2h2sqgpm9aidaq9p2085b0v"))))
14447 (properties `((upstream-name . "rsbml")))
14448 (build-system r-build-system)
14449 (inputs
14450 (list libsbml))
14451 (propagated-inputs
14452 (list r-biocgenerics r-graph))
14453 (native-inputs
14454 (list pkg-config))
14455 (home-page "http://www.sbml.org")
14456 (synopsis "R support for SBML")
14457 (description
14458 "This package provides an R interface to libsbml for SBML parsing,
14459 validating output, provides an S4 SBML DOM, converts SBML to R graph objects.")
14460 (license license:artistic2.0)))
14461
14462 (define-public r-hypergraph
14463 (package
14464 (name "r-hypergraph")
14465 (version "1.68.0")
14466 (source
14467 (origin
14468 (method url-fetch)
14469 (uri (bioconductor-uri "hypergraph" version))
14470 (sha256
14471 (base32
14472 "0xmryqj5yw1ns6wbhjqbb6h14jlj89zrznzvqnvd4n03ci20kzzp"))))
14473 (properties `((upstream-name . "hypergraph")))
14474 (build-system r-build-system)
14475 (propagated-inputs
14476 (list r-graph))
14477 (home-page "https://bioconductor.org/packages/hypergraph")
14478 (synopsis "Hypergraph data structures")
14479 (description
14480 "This package implements some simple capabilities for representing and
14481 manipulating hypergraphs.")
14482 (license license:artistic2.0)))
14483
14484 (define-public r-hyperdraw
14485 (package
14486 (name "r-hyperdraw")
14487 (version "1.48.0")
14488 (source
14489 (origin
14490 (method url-fetch)
14491 (uri (bioconductor-uri "hyperdraw" version))
14492 (sha256
14493 (base32
14494 "0ndw4y6b15jy4w86vfkahmdc81d3ycjsvqy1mxi55dwvd8xq0ap6"))))
14495 (properties `((upstream-name . "hyperdraw")))
14496 (build-system r-build-system)
14497 (inputs (list graphviz))
14498 (propagated-inputs
14499 (list r-graph r-hypergraph r-rgraphviz))
14500 (home-page "https://bioconductor.org/packages/hyperdraw")
14501 (synopsis "Visualizing hypergraphs")
14502 (description
14503 "This package provides functions for visualizing hypergraphs.")
14504 (license license:gpl2+)))
14505
14506 (define-public r-biggr
14507 (package
14508 (name "r-biggr")
14509 (version "1.32.0")
14510 (source
14511 (origin
14512 (method url-fetch)
14513 (uri (bioconductor-uri "BiGGR" version))
14514 (sha256
14515 (base32
14516 "0n57bgl6xz5b1gpw4isimq2pqxmlabn7jzhbjg2fbxcklabdvrcw"))))
14517 (properties `((upstream-name . "BiGGR")))
14518 (build-system r-build-system)
14519 (propagated-inputs
14520 (list r-hyperdraw
14521 r-hypergraph
14522 r-lim
14523 r-limsolve
14524 r-rsbml
14525 r-stringr))
14526 (home-page "https://bioconductor.org/packages/BiGGR/")
14527 (synopsis "Constraint based modeling using metabolic reconstruction databases")
14528 (description
14529 "This package provides an interface to simulate metabolic reconstruction
14530 from the @url{http://bigg.ucsd.edu/, BiGG database} and other metabolic
14531 reconstruction databases. The package facilitates @dfn{flux balance
14532 analysis} (FBA) and the sampling of feasible flux distributions. Metabolic
14533 networks and estimated fluxes can be visualized with hypergraphs.")
14534 (license license:gpl3+)))
14535
14536 (define-public r-bigmemoryextras
14537 (package
14538 (name "r-bigmemoryextras")
14539 (version "1.38.0")
14540 (source
14541 (origin
14542 (method url-fetch)
14543 (uri (bioconductor-uri "bigmemoryExtras" version))
14544 (sha256
14545 (base32
14546 "1k31h746j8r3f92vj62s38fw12qjkv5814ipcqfbswnxgaan17zj"))))
14547 (properties
14548 `((upstream-name . "bigmemoryExtras")))
14549 (build-system r-build-system)
14550 (propagated-inputs
14551 (list r-bigmemory))
14552 (native-inputs
14553 (list r-knitr))
14554 (home-page "https://github.com/phaverty/bigmemoryExtras")
14555 (synopsis "Extension of the bigmemory package")
14556 (description
14557 "This package defines a @code{BigMatrix} @code{ReferenceClass} which adds
14558 safety and convenience features to the @code{filebacked.big.matrix} class from
14559 the @code{bigmemory} package. @code{BigMatrix} protects against segfaults by
14560 monitoring and gracefully restoring the connection to on-disk data and it also
14561 protects against accidental data modification with a file-system-based
14562 permissions system. Utilities are provided for using @code{BigMatrix}-derived
14563 classes as @code{assayData} matrices within the @code{Biobase} package's
14564 @code{eSet} family of classes. @code{BigMatrix} provides some optimizations
14565 related to attaching to, and indexing into, file-backed matrices with
14566 dimnames. Additionally, the package provides a @code{BigMatrixFactor} class,
14567 a file-backed matrix with factor properties.")
14568 (license license:artistic2.0)))
14569
14570 (define-public r-bigpint
14571 (package
14572 (name "r-bigpint")
14573 (version "1.12.0")
14574 (source
14575 (origin
14576 (method url-fetch)
14577 (uri (bioconductor-uri "bigPint" version))
14578 (sha256
14579 (base32
14580 "1hp69j2qcidrxqs3dxjjngb09nbzp5x2yy4jz1rjmv6ghif9ccfj"))))
14581 (properties `((upstream-name . "bigPint")))
14582 (build-system r-build-system)
14583 (propagated-inputs
14584 (list r-delayedarray
14585 r-dplyr
14586 r-ggally
14587 r-ggplot2
14588 r-gridextra
14589 r-hexbin
14590 r-hmisc
14591 r-htmlwidgets
14592 r-plotly
14593 r-plyr
14594 r-rcolorbrewer
14595 r-reshape
14596 r-shiny
14597 r-shinycssloaders
14598 r-shinydashboard
14599 r-stringr
14600 r-summarizedexperiment
14601 r-tidyr))
14602 (native-inputs
14603 (list r-knitr))
14604 (home-page "https://github.com/lindsayrutter/bigPint")
14605 (synopsis "Big multivariate data plotted interactively")
14606 (description
14607 "This package provides methods for visualizing large multivariate
14608 datasets using static and interactive scatterplot matrices, parallel
14609 coordinate plots, volcano plots, and litre plots. It includes examples for
14610 visualizing RNA-sequencing datasets and differentially expressed genes.")
14611 (license license:gpl3)))
14612
14613 (define-public r-chemminer
14614 (package
14615 (name "r-chemminer")
14616 (version "3.48.0")
14617 (source
14618 (origin
14619 (method url-fetch)
14620 (uri (bioconductor-uri "ChemmineR" version))
14621 (sha256
14622 (base32
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14624 (properties `((upstream-name . "ChemmineR")))
14625 (build-system r-build-system)
14626 (propagated-inputs
14627 (list r-base64enc
14628 r-bh
14629 r-biocgenerics
14630 r-dbi
14631 r-digest
14632 r-dt
14633 r-ggplot2
14634 r-gridextra
14635 r-jsonlite
14636 r-png
14637 r-rcpp
14638 r-rcurl
14639 r-rjson
14640 r-rsvg
14641 r-stringi))
14642 (native-inputs
14643 (list r-knitr))
14644 (home-page "https://github.com/girke-lab/ChemmineR")
14645 (synopsis "Cheminformatics toolkit for R")
14646 (description
14647 "ChemmineR is a cheminformatics package for analyzing drug-like small
14648 molecule data in R. It contains functions for efficient processing of large
14649 numbers of molecules, physicochemical/structural property predictions,
14650 structural similarity searching, classification and clustering of compound
14651 libraries with a wide spectrum of algorithms. In addition, it offers
14652 visualization functions for compound clustering results and chemical
14653 structures.")
14654 (license license:artistic2.0)))
14655
14656 (define-public r-fmcsr
14657 (package
14658 (name "r-fmcsr")
14659 (version "1.38.0")
14660 (source
14661 (origin
14662 (method url-fetch)
14663 (uri (bioconductor-uri "fmcsR" version))
14664 (sha256
14665 (base32 "1mblmk21dxc9v2fikhvfg2njwgl190gkysppl6msxizwcmxsmh30"))))
14666 (properties `((upstream-name . "fmcsR")))
14667 (build-system r-build-system)
14668 (propagated-inputs
14669 (list r-biocgenerics r-chemminer r-runit))
14670 (native-inputs (list r-knitr))
14671 (home-page "https://github.com/girke-lab/fmcsR")
14672 (synopsis "Mismatch tolerant maximum common substructure searching")
14673 (description
14674 "The fmcsR package introduces an efficient @dfn{maximum common
14675 substructure} (MCS) algorithms combined with a novel matching strategy that
14676 allows for atom and/or bond mismatches in the substructures shared among two
14677 small molecules. The resulting flexible MCSs (FMCSs) are often larger than
14678 strict MCSs, resulting in the identification of more common features in their
14679 source structures, as well as a higher sensitivity in finding compounds with
14680 weak structural similarities. The fmcsR package provides several utilities to
14681 use the FMCS algorithm for pairwise compound comparisons, structure similarity
14682 searching and clustering.")
14683 (license license:artistic2.0)))
14684
14685 (define-public r-bioassayr
14686 (package
14687 (name "r-bioassayr")
14688 (version "1.34.0")
14689 (source
14690 (origin
14691 (method url-fetch)
14692 (uri (bioconductor-uri "bioassayR" version))
14693 (sha256
14694 (base32
14695 "0zbrci0vgk4qca28i0qb2izhyrz3r95l1w54h9h3zj9f3vd61wrz"))))
14696 (properties `((upstream-name . "bioassayR")))
14697 (build-system r-build-system)
14698 (propagated-inputs
14699 (list r-biocgenerics
14700 r-chemminer
14701 r-dbi
14702 r-matrix
14703 r-rjson
14704 r-rsqlite
14705 r-xml))
14706 (native-inputs
14707 (list r-knitr))
14708 (home-page "https://github.com/girke-lab/bioassayR")
14709 (synopsis "Cross-target analysis of small molecule bioactivity")
14710 (description
14711 "bioassayR is a computational tool that enables simultaneous analysis of
14712 thousands of bioassay experiments performed over a diverse set of compounds
14713 and biological targets. Unique features include support for large-scale
14714 cross-target analyses of both public and custom bioassays, generation of
14715 @dfn{high throughput screening fingerprints} (HTSFPs), and an optional
14716 preloaded database that provides access to a substantial portion of publicly
14717 available bioactivity data.")
14718 (license license:artistic2.0)))
14719
14720 (define-public r-biobroom
14721 (package
14722 (name "r-biobroom")
14723 (version "1.28.0")
14724 (source
14725 (origin
14726 (method url-fetch)
14727 (uri (bioconductor-uri "biobroom" version))
14728 (sha256
14729 (base32
14730 "04x1z9nchm4mbhqr31011zdprc4md156j4zf003s7xx0n278xsgh"))))
14731 (properties `((upstream-name . "biobroom")))
14732 (build-system r-build-system)
14733 (propagated-inputs
14734 (list r-biobase r-broom r-dplyr r-tidyr))
14735 (native-inputs
14736 (list r-knitr))
14737 (home-page "https://github.com/StoreyLab/biobroom")
14738 (synopsis "Turn Bioconductor objects into tidy data frames")
14739 (description
14740 "This package contains methods for converting standard objects
14741 constructed by bioinformatics packages, especially those in Bioconductor, and
14742 converting them to @code{tidy} data. It thus serves as a complement to the
14743 @code{broom} package, and follows the same tidy, augment, glance division of
14744 tidying methods. Tidying data makes it easy to recombine, reshape and
14745 visualize bioinformatics analyses.")
14746 ;; Any version of the LGPL.
14747 (license license:lgpl3+)))
14748
14749 (define-public r-graphite
14750 (package
14751 (name "r-graphite")
14752 (version "1.42.0")
14753 (source
14754 (origin
14755 (method url-fetch)
14756 (uri (bioconductor-uri "graphite" version))
14757 (sha256
14758 (base32
14759 "0nl5mkgrvf7vsqjy48ij9b1dmxfvp9lf8cpay55h93c4qz4x606g"))))
14760 (properties `((upstream-name . "graphite")))
14761 (build-system r-build-system)
14762 (propagated-inputs
14763 (list r-annotationdbi r-graph r-httr r-rappdirs r-rlang))
14764 (home-page "https://bioconductor.org/packages/graphite/")
14765 (synopsis "Networks from pathway databases")
14766 (description
14767 "Graphite provides networks derived from eight public pathway databases,
14768 and automates the conversion of node identifiers (e.g. from Entrez IDs to gene
14769 symbols).")
14770 (license license:agpl3+)))
14771
14772 (define-public r-reactomepa
14773 (package
14774 (name "r-reactomepa")
14775 (version "1.40.0")
14776 (source
14777 (origin
14778 (method url-fetch)
14779 (uri (bioconductor-uri "ReactomePA" version))
14780 (sha256
14781 (base32
14782 "1fd72m2afxbbvbgwy8knp6fiq1h561plmsh4r8a08w21ngmkz2s5"))))
14783 (properties `((upstream-name . "ReactomePA")))
14784 (build-system r-build-system)
14785 (propagated-inputs
14786 (list r-annotationdbi
14787 r-dose
14788 r-enrichplot
14789 r-ggplot2
14790 r-ggraph
14791 r-graphite
14792 r-igraph
14793 r-reactome-db))
14794 (native-inputs
14795 (list r-knitr))
14796 (home-page "https://guangchuangyu.github.io/software/ReactomePA")
14797 (synopsis "Reactome pathway analysis")
14798 (description
14799 "This package provides functions for pathway analysis based on the
14800 REACTOME pathway database. It implements enrichment analysis, gene set
14801 enrichment analysis and several functions for visualization.")
14802 (license license:gpl2)))
14803
14804 (define-public r-ebarrays
14805 (package
14806 (name "r-ebarrays")
14807 (version "2.60.0")
14808 (source
14809 (origin
14810 (method url-fetch)
14811 (uri (bioconductor-uri "EBarrays" version))
14812 (sha256
14813 (base32
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14815 (properties `((upstream-name . "EBarrays")))
14816 (build-system r-build-system)
14817 (propagated-inputs
14818 (list r-biobase r-cluster r-lattice))
14819 (home-page "https://bioconductor.org/packages/EBarrays/")
14820 (synopsis "Gene clustering and differential expression identification")
14821 (description
14822 "EBarrays provides tools for the analysis of replicated/unreplicated
14823 microarray data.")
14824 (license license:gpl2+)))
14825
14826 (define-public r-bioccasestudies
14827 (package
14828 (name "r-bioccasestudies")
14829 (version "1.52.0")
14830 (source
14831 (origin
14832 (method url-fetch)
14833 (uri (bioconductor-uri "BiocCaseStudies" version))
14834 (sha256
14835 (base32
14836 "03n49b6fvyyzmvdy4yif3cl7yv21c09c8xdx4cvvax5zz4v4sab1"))))
14837 (properties
14838 `((upstream-name . "BiocCaseStudies")))
14839 (build-system r-build-system)
14840 (propagated-inputs (list r-biobase))
14841 (home-page "https://bioconductor.org/packages/BiocCaseStudies")
14842 (synopsis "Support for the case studies monograph")
14843 (description
14844 "This package provides software and data to support the case studies
14845 monograph.")
14846 (license license:artistic2.0)))
14847
14848 (define-public r-bioccheck
14849 (package
14850 (name "r-bioccheck")
14851 (version "1.32.1")
14852 (source (origin
14853 (method url-fetch)
14854 (uri (bioconductor-uri "BiocCheck" version))
14855 (sha256
14856 (base32
14857 "0bq4xrz1spp0bmbccxydkw6yw03by5dysz85mn152ab6xixm52lw"))))
14858 (properties
14859 `((upstream-name . "BiocCheck")))
14860 (build-system r-build-system)
14861 (propagated-inputs
14862 (list r-codetools
14863 r-graph
14864 r-httr
14865 r-knitr
14866 r-biocmanager
14867 r-biocviews
14868 r-stringdist))
14869 (native-inputs
14870 (list r-knitr))
14871 (home-page "https://bioconductor.org/packages/BiocCheck")
14872 (synopsis "Executes Bioconductor-specific package checks")
14873 (description "This package contains tools to perform additional quality
14874 checks on R packages that are to be submitted to the Bioconductor repository.")
14875 (license license:artistic2.0)))
14876
14877 (define-public r-biocgraph
14878 (package
14879 (name "r-biocgraph")
14880 (version "1.58.0")
14881 (source
14882 (origin
14883 (method url-fetch)
14884 (uri (bioconductor-uri "biocGraph" version))
14885 (sha256
14886 (base32
14887 "1y59a7c4ahhn1g2wz2hkx83izfn8i85mmxxp63jdd0rg7zwhr6nn"))))
14888 (properties `((upstream-name . "biocGraph")))
14889 (build-system r-build-system)
14890 (propagated-inputs
14891 (list r-biocgenerics r-geneplotter r-graph r-rgraphviz))
14892 (home-page "https://bioconductor.org/packages/biocGraph/")
14893 (synopsis "Graph examples and use cases in Bioinformatics")
14894 (description
14895 "This package provides examples and code that make use of the
14896 different graph related packages produced by Bioconductor.")
14897 (license license:artistic2.0)))
14898
14899 (define-public r-biocstyle
14900 (package
14901 (name "r-biocstyle")
14902 (version "2.24.0")
14903 (source (origin
14904 (method url-fetch)
14905 (uri (bioconductor-uri "BiocStyle" version))
14906 (sha256
14907 (base32
14908 "1nwiib201b9q1x19ihqjqr5jl0vnid8wfgpi8sa3y02bn722g5a5"))))
14909 (properties
14910 `((upstream-name . "BiocStyle")))
14911 (build-system r-build-system)
14912 (propagated-inputs
14913 (list r-biocmanager r-bookdown r-knitr r-rmarkdown r-yaml))
14914 (native-inputs
14915 (list r-knitr))
14916 (home-page "https://bioconductor.org/packages/BiocStyle")
14917 (synopsis "Bioconductor formatting styles")
14918 (description "This package provides standard formatting styles for
14919 Bioconductor PDF and HTML documents. Package vignettes illustrate use and
14920 functionality.")
14921 (license license:artistic2.0)))
14922
14923 (define-public r-biocviews
14924 (package
14925 (name "r-biocviews")
14926 (version "1.64.1")
14927 (source (origin
14928 (method url-fetch)
14929 (uri (bioconductor-uri "biocViews" version))
14930 (sha256
14931 (base32
14932 "0ixcx9qqpmwmnhml3klk5z075km8g2l4q0iqc1dbniga87qgyl38"))))
14933 (properties
14934 `((upstream-name . "biocViews")))
14935 (build-system r-build-system)
14936 (propagated-inputs
14937 (list r-biobase
14938 r-biocmanager
14939 r-graph
14940 r-rbgl
14941 r-rcurl
14942 r-xml
14943 r-runit))
14944 (home-page "https://bioconductor.org/packages/biocViews")
14945 (synopsis "Bioconductor package categorization helper")
14946 (description "The purpose of biocViews is to create HTML pages that
14947 categorize packages in a Bioconductor package repository according to keywords,
14948 also known as views, in a controlled vocabulary.")
14949 (license license:artistic2.0)))
14950
14951 (define-public r-experimenthub
14952 (package
14953 (name "r-experimenthub")
14954 (version "2.4.0")
14955 (source
14956 (origin
14957 (method url-fetch)
14958 (uri (bioconductor-uri "ExperimentHub" version))
14959 (sha256
14960 (base32
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14962 (properties `((upstream-name . "ExperimentHub")))
14963 (build-system r-build-system)
14964 (propagated-inputs
14965 (list r-annotationhub
14966 r-biocfilecache
14967 r-biocgenerics
14968 r-biocmanager
14969 r-curl
14970 r-rappdirs
14971 r-s4vectors))
14972 (native-inputs
14973 (list r-knitr))
14974 (home-page "https://bioconductor.org/packages/ExperimentHub/")
14975 (synopsis "Client to access ExperimentHub resources")
14976 (description
14977 "This package provides a client for the Bioconductor ExperimentHub web
14978 resource. ExperimentHub provides a central location where curated data from
14979 experiments, publications or training courses can be accessed. Each resource
14980 has associated metadata, tags and date of modification. The client creates
14981 and manages a local cache of files retrieved enabling quick and reproducible
14982 access.")
14983 (license license:artistic2.0)))
14984
14985 (define-public r-grohmm
14986 (package
14987 (name "r-grohmm")
14988 (version "1.30.1")
14989 (source
14990 (origin
14991 (method url-fetch)
14992 (uri (bioconductor-uri "groHMM" version))
14993 (sha256
14994 (base32
14995 "0v2mk7xcy483w2nygpmyjp73kj3v5pkk1kf1wr41n33dxqlddqai"))))
14996 (properties `((upstream-name . "groHMM")))
14997 (build-system r-build-system)
14998 (propagated-inputs
14999 (list r-genomeinfodb
15000 r-genomicalignments
15001 r-genomicranges
15002 r-iranges
15003 r-mass
15004 r-rtracklayer
15005 r-s4vectors))
15006 (home-page "https://github.com/Kraus-Lab/groHMM")
15007 (synopsis "GRO-seq analysis pipeline")
15008 (description
15009 "This package provides a pipeline for the analysis of GRO-seq data.")
15010 (license license:gpl3+)))
15011
15012 (define-public r-multiassayexperiment
15013 (package
15014 (name "r-multiassayexperiment")
15015 (version "1.22.0")
15016 (source
15017 (origin
15018 (method url-fetch)
15019 (uri (bioconductor-uri "MultiAssayExperiment" version))
15020 (sha256
15021 (base32
15022 "1wnp52l9vifxn1wzqgndzp9b6ih0s1cflxx1fhw32k32d05cw9q1"))))
15023 (properties
15024 `((upstream-name . "MultiAssayExperiment")))
15025 (build-system r-build-system)
15026 (propagated-inputs
15027 (list r-biobase
15028 r-biocgenerics
15029 r-genomicranges
15030 r-iranges
15031 r-s4vectors
15032 r-summarizedexperiment
15033 r-tidyr))
15034 (native-inputs
15035 (list r-knitr))
15036 (home-page "https://waldronlab.io/MultiAssayExperiment/")
15037 (synopsis "Integration of multi-omics experiments in Bioconductor")
15038 (description
15039 "MultiAssayExperiment harmonizes data management of multiple assays
15040 performed on an overlapping set of specimens. It provides a familiar
15041 Bioconductor user experience by extending concepts from
15042 @code{SummarizedExperiment}, supporting an open-ended mix of standard data
15043 classes for individual assays, and allowing subsetting by genomic ranges or
15044 rownames.")
15045 (license license:artistic2.0)))
15046
15047 (define-public r-bioconcotk
15048 (package
15049 (name "r-bioconcotk")
15050 (version "1.16.0")
15051 (source
15052 (origin
15053 (method url-fetch)
15054 (uri (bioconductor-uri "BiocOncoTK" version))
15055 (sha256
15056 (base32
15057 "1alplszw84vqa1mvzp996f94s40scmh4qwbrqhg43hrnyvbnq7pi"))))
15058 (properties `((upstream-name . "BiocOncoTK")))
15059 (build-system r-build-system)
15060 (propagated-inputs
15061 (list r-bigrquery
15062 r-car
15063 r-complexheatmap
15064 r-curatedtcgadata
15065 r-dbi
15066 r-dplyr
15067 r-dt
15068 r-genomicfeatures
15069 r-genomicranges
15070 r-ggplot2
15071 r-ggpubr
15072 r-graph
15073 r-httr
15074 r-iranges
15075 r-magrittr
15076 r-plyr
15077 r-rgraphviz
15078 r-rjson
15079 r-s4vectors
15080 r-scales
15081 r-shiny
15082 r-summarizedexperiment))
15083 (native-inputs
15084 (list r-knitr))
15085 (home-page "https://bioconductor.org/packages/BiocOncoTK")
15086 (synopsis "Bioconductor components for general cancer genomics")
15087 (description
15088 "The purpose of this package is to provide a central interface to various
15089 tools for genome-scale analysis of cancer studies.")
15090 (license license:artistic2.0)))
15091
15092 (define-public r-biocor
15093 (package
15094 (name "r-biocor")
15095 (version "1.20.0")
15096 (source
15097 (origin
15098 (method url-fetch)
15099 (uri (bioconductor-uri "BioCor" version))
15100 (sha256
15101 (base32
15102 "004mksswampwisljcdz6fswwbgdjdii3y86gjzib0gf8v4w7w4q3"))))
15103 (properties `((upstream-name . "BioCor")))
15104 (build-system r-build-system)
15105 (propagated-inputs
15106 (list r-biocparallel r-gseabase r-matrix))
15107 (native-inputs
15108 (list r-knitr))
15109 (home-page "https://llrs.github.io/BioCor/")
15110 (synopsis "Functional similarities")
15111 (description
15112 "This package provides tools to calculate functional similarities based
15113 on the pathways described on KEGG and REACTOME or in gene sets. These
15114 similarities can be calculated for pathways or gene sets, genes, or clusters
15115 and combined with other similarities. They can be used to improve networks,
15116 gene selection, testing relationships, and so on.")
15117 (license license:expat)))
15118
15119 (define-public r-biocpkgtools
15120 (package
15121 (name "r-biocpkgtools")
15122 (version "1.14.1")
15123 (source
15124 (origin
15125 (method url-fetch)
15126 (uri (bioconductor-uri "BiocPkgTools" version))
15127 (sha256
15128 (base32
15129 "0akryshjdn227a8ir8r0lb59v060h58rhy5vjmdxax8p81ajzxkd"))))
15130 (properties `((upstream-name . "BiocPkgTools")))
15131 (build-system r-build-system)
15132 (propagated-inputs
15133 (list r-biocfilecache
15134 r-biocmanager
15135 r-biocviews
15136 r-dplyr
15137 r-dt
15138 r-gh
15139 r-graph
15140 r-htmltools
15141 r-htmlwidgets
15142 r-httr
15143 r-igraph
15144 r-jsonlite
15145 r-magrittr
15146 r-rbgl
15147 r-readr
15148 r-rlang
15149 r-rvest
15150 r-stringr
15151 r-tibble
15152 r-tidyr
15153 r-tidyselect
15154 r-xml2))
15155 (native-inputs
15156 (list r-knitr))
15157 (home-page "https://github.com/seandavi/BiocPkgTools")
15158 (synopsis "Collection of tools for learning about Bioconductor packages")
15159 (description
15160 "Bioconductor has a rich ecosystem of metadata around packages, usage,
15161 and build status. This package is a simple collection of functions to access
15162 that metadata from R. The goal is to expose metadata for data mining and
15163 value-added functionality such as package searching, text mining, and
15164 analytics on packages.")
15165 (license license:expat)))
15166
15167 (define-public r-biocset
15168 (package
15169 (name "r-biocset")
15170 (version "1.10.0")
15171 (source
15172 (origin
15173 (method url-fetch)
15174 (uri (bioconductor-uri "BiocSet" version))
15175 (sha256
15176 (base32
15177 "1ghba7020inrdxlbrrgds9gjymjxjma2p89b9lgkjin89zalqglh"))))
15178 (properties `((upstream-name . "BiocSet")))
15179 (build-system r-build-system)
15180 (propagated-inputs
15181 (list r-annotationdbi
15182 r-biocio
15183 r-dplyr
15184 r-keggrest
15185 r-ontologyindex
15186 r-plyr
15187 r-rlang
15188 r-s4vectors
15189 r-tibble
15190 r-tidyr))
15191 (native-inputs
15192 (list r-knitr))
15193 (home-page
15194 "https://bioconductor.org/packages/BiocSet")
15195 (synopsis
15196 "Representing Different Biological Sets")
15197 (description
15198 "BiocSet displays different biological sets in a triple tibble format.
15199 These three tibbles are @code{element}, @code{set}, and @code{elementset}.
15200 The user has the ability to activate one of these three tibbles to perform
15201 common functions from the @code{dplyr} package. Mapping functionality and
15202 accessing web references for elements/sets are also available in BiocSet.")
15203 (license license:artistic2.0)))
15204
15205 (define-public r-biocworkflowtools
15206 (package
15207 (name "r-biocworkflowtools")
15208 (version "1.22.0")
15209 (source
15210 (origin
15211 (method url-fetch)
15212 (uri (bioconductor-uri "BiocWorkflowTools" version))
15213 (sha256
15214 (base32
15215 "1jj4icpkhrv9f6yx3vghkpdil1pfghf3yvc9756wmndvhs100r5l"))))
15216 (properties
15217 `((upstream-name . "BiocWorkflowTools")))
15218 (build-system r-build-system)
15219 (propagated-inputs
15220 (list r-biocstyle
15221 r-bookdown
15222 r-git2r
15223 r-httr
15224 r-knitr
15225 r-rmarkdown
15226 r-rstudioapi
15227 r-stringr
15228 r-usethis))
15229 (native-inputs
15230 (list r-knitr))
15231 (home-page "https://bioconductor.org/packages/BiocWorkflowTools/")
15232 (synopsis "Tools to aid the development of Bioconductor Workflow packages")
15233 (description
15234 "This package provides functions to ease the transition between
15235 Rmarkdown and LaTeX documents when authoring a Bioconductor Workflow.")
15236 (license license:expat)))
15237
15238 (define-public r-biodist
15239 (package
15240 (name "r-biodist")
15241 (version "1.68.0")
15242 (source
15243 (origin
15244 (method url-fetch)
15245 (uri (bioconductor-uri "bioDist" version))
15246 (sha256
15247 (base32
15248 "04nrvrcvpj0sn8p2i8n3ggsl2s7r4na576174i7bn1sj21vr0yb0"))))
15249 (properties `((upstream-name . "bioDist")))
15250 (build-system r-build-system)
15251 (propagated-inputs
15252 (list r-biobase r-kernsmooth))
15253 (home-page "https://bioconductor.org/packages/bioDist/")
15254 (synopsis "Different distance measures")
15255 (description
15256 "This package provides a collection of software tools for calculating
15257 distance measures.")
15258 (license license:artistic2.0)))
15259
15260 (define-public r-pcatools
15261 (package
15262 (name "r-pcatools")
15263 (version "2.8.0")
15264 (source
15265 (origin
15266 (method url-fetch)
15267 (uri (bioconductor-uri "PCAtools" version))
15268 (sha256
15269 (base32
15270 "03s4dh008fys2rrcpzanc0892p63f6jyyvzc9m42jbi1dlkyx26v"))))
15271 (properties `((upstream-name . "PCAtools")))
15272 (build-system r-build-system)
15273 (propagated-inputs
15274 (list r-beachmat
15275 r-bh
15276 r-biocparallel
15277 r-biocsingular
15278 r-cowplot
15279 r-delayedarray
15280 r-delayedmatrixstats
15281 r-dqrng
15282 r-ggplot2
15283 r-ggrepel
15284 r-lattice
15285 r-matrix
15286 r-rcpp
15287 r-reshape2))
15288 (native-inputs (list r-knitr))
15289 (home-page "https://github.com/kevinblighe/PCAtools")
15290 (synopsis "PCAtools: everything Principal Components Analysis")
15291 (description
15292 "@dfn{Principal Component Analysis} (PCA) extracts the fundamental
15293 structure of the data without the need to build any model to represent it.
15294 This \"summary\" of the data is arrived at through a process of reduction that
15295 can transform the large number of variables into a lesser number that are
15296 uncorrelated (i.e. the 'principal components'), while at the same time being
15297 capable of easy interpretation on the original data. PCAtools provides
15298 functions for data exploration via PCA, and allows the user to generate
15299 publication-ready figures. PCA is performed via @code{BiocSingular}; users
15300 can also identify an optimal number of principal components via different
15301 metrics, such as the elbow method and Horn's parallel analysis, which has
15302 relevance for data reduction in single-cell RNA-seq (scRNA-seq) and high
15303 dimensional mass cytometry data.")
15304 (license license:gpl3)))
15305
15306 (define-public r-rgreat
15307 (package
15308 (name "r-rgreat")
15309 (version "1.28.0")
15310 (source
15311 (origin
15312 (method url-fetch)
15313 (uri (bioconductor-uri "rGREAT" version))
15314 (sha256
15315 (base32
15316 "0px72r8mjimf5mxfwb9qz46kqpgjw5gaqq41hy0212ymjd8whaky"))))
15317 (properties `((upstream-name . "rGREAT")))
15318 (build-system r-build-system)
15319 (propagated-inputs
15320 (list r-genomicranges r-getoptlong r-iranges r-rcurl r-rjson))
15321 (native-inputs (list r-knitr))
15322 (home-page "https://github.com/jokergoo/rGREAT")
15323 (synopsis "Client for GREAT analysis")
15324 (description
15325 "This package makes GREAT (Genomic Regions Enrichment of Annotations
15326 Tool) analysis automatic by constructing a HTTP POST request according to
15327 user's input and automatically retrieving results from GREAT web server.")
15328 (license license:expat)))
15329
15330 (define-public r-m3c
15331 (package
15332 (name "r-m3c")
15333 (version "1.18.0")
15334 (source
15335 (origin
15336 (method url-fetch)
15337 (uri (bioconductor-uri "M3C" version))
15338 (sha256
15339 (base32
15340 "120gd7gkgc98d1l6hl2ij799b3jksdnga5iyb44ps9mbc79hl012"))))
15341 (properties `((upstream-name . "M3C")))
15342 (build-system r-build-system)
15343 (propagated-inputs
15344 (list r-cluster
15345 r-corpcor
15346 r-doparallel
15347 r-dosnow
15348 r-foreach
15349 r-ggplot2
15350 r-matrix
15351 r-matrixcalc
15352 r-rtsne
15353 r-umap))
15354 (native-inputs (list r-knitr))
15355 (home-page "https://bioconductor.org/packages/M3C")
15356 (synopsis "Monte Carlo reference-based consensus clustering")
15357 (description
15358 "M3C is a consensus clustering algorithm that uses a Monte Carlo
15359 simulation to eliminate overestimation of @code{K} and can reject the null
15360 hypothesis @code{K=1}.")
15361 (license license:agpl3+)))
15362
15363 (define-public r-icens
15364 (package
15365 (name "r-icens")
15366 (version "1.68.0")
15367 (source
15368 (origin
15369 (method url-fetch)
15370 (uri (bioconductor-uri "Icens" version))
15371 (sha256
15372 (base32
15373 "0jnbfv7js8bw0ginql90krrpk0p54whj9igw0zk3jc45jqvj2vyc"))))
15374 (properties `((upstream-name . "Icens")))
15375 (build-system r-build-system)
15376 (propagated-inputs
15377 (list r-survival))
15378 (home-page "https://bioconductor.org/packages/Icens")
15379 (synopsis "NPMLE for censored and truncated data")
15380 (description
15381 "This package provides many functions for computing the
15382 @dfn{nonparametric maximum likelihood estimator} (NPMLE) for censored and
15383 truncated data.")
15384 (license license:artistic2.0)))
15385
15386 ;; This is a CRAN package but it depends on r-icens, which is published on
15387 ;; Bioconductor.
15388 (define-public r-interval
15389 (package
15390 (name "r-interval")
15391 (version "1.1-0.8")
15392 (source
15393 (origin
15394 (method url-fetch)
15395 (uri (cran-uri "interval" version))
15396 (sha256
15397 (base32
15398 "0g0k9nri19p3y3s70ic1w3i3sxq8fbsxaikd7c4d6afqzr8hk2nl"))))
15399 (properties `((upstream-name . "interval")))
15400 (build-system r-build-system)
15401 (propagated-inputs
15402 (list r-icens r-mlecens r-perm r-survival))
15403 (home-page "https://cran.r-project.org/web/packages/interval/")
15404 (synopsis "Weighted Logrank tests and NPMLE for interval censored data")
15405 (description
15406 "This package provides functions to fit nonparametric survival curves,
15407 plot them, and perform logrank or Wilcoxon type tests.")
15408 (license license:gpl2+)))
15409
15410 ;; This is a CRAN package, but it depends on r-interval, which depends on a
15411 ;; Bioconductor package.
15412 (define-public r-fhtest
15413 (package
15414 (name "r-fhtest")
15415 (version "1.5")
15416 (source
15417 (origin
15418 (method url-fetch)
15419 (uri (cran-uri "FHtest" version))
15420 (sha256
15421 (base32
15422 "00mql2r4f5hxhdqf27q3x9s5rz2zzakx2myym97b1w1s7c5znl4q"))))
15423 (properties `((upstream-name . "FHtest")))
15424 (build-system r-build-system)
15425 (propagated-inputs
15426 (list r-interval r-kmsurv r-mass r-perm r-survival))
15427 (home-page "https://cran.r-project.org/web/packages/FHtest/")
15428 (synopsis "Tests for survival data based on the Fleming-Harrington class")
15429 (description
15430 "This package provides functions to compare two or more survival curves
15431 with:
15432
15433 @itemize
15434 @item The Fleming-Harrington test for right-censored data based on
15435 permutations and on counting processes.
15436 @item An extension of the Fleming-Harrington test for interval-censored data
15437 based on a permutation distribution and on a score vector distribution.
15438 @end itemize
15439 ")
15440 (license license:gpl2+)))
15441
15442 (define-public r-fourcseq
15443 (package
15444 (name "r-fourcseq")
15445 (version "1.24.0")
15446 (source
15447 (origin
15448 (method url-fetch)
15449 (uri (bioconductor-uri "FourCSeq" version))
15450 (sha256
15451 (base32 "1rwdphcj26xis47n8j1fiyc3k3qbsgn0bhf5bhgy5vm11yqyvicb"))))
15452 (properties `((upstream-name . "FourCSeq")))
15453 (build-system r-build-system)
15454 (propagated-inputs
15455 (list r-biobase
15456 r-biostrings
15457 r-deseq2
15458 r-fda
15459 r-genomicalignments
15460 r-genomicranges
15461 r-ggbio
15462 r-ggplot2
15463 r-gtools
15464 r-lsd
15465 r-matrix
15466 r-reshape2
15467 r-rsamtools
15468 r-rtracklayer
15469 r-summarizedexperiment))
15470 (native-inputs
15471 (list r-knitr))
15472 (home-page
15473 "https://bioconductor.org/packages/release/bioc/html/FourCSeq.html")
15474 (synopsis "Analysis of multiplexed 4C sequencing data")
15475 (description
15476 "This package is an R package dedicated to the analysis of (multiplexed)
15477 4C sequencing data. @code{r-fourcseq} provides a pipeline to detect specific
15478 interactions between DNA elements and identify differential interactions
15479 between conditions. The statistical analysis in R starts with individual bam
15480 files for each sample as inputs. To obtain these files, the package contains
15481 a Python script to demultiplex libraries and trim off primer sequences. With
15482 a standard alignment software the required bam files can be then be
15483 generated.")
15484 (license license:gpl3+)))
15485
15486 (define-public r-preprocesscore
15487 (package
15488 (name "r-preprocesscore")
15489 (version "1.58.0")
15490 (source
15491 (origin
15492 (method url-fetch)
15493 (uri (bioconductor-uri "preprocessCore" version))
15494 (sha256
15495 (base32
15496 "1sqpp00hhv6gypflrjw8qpqyqgdcp29m86gmi1di1574x8casdkf"))))
15497 (properties
15498 `((upstream-name . "preprocessCore")))
15499 (build-system r-build-system)
15500 (home-page "https://github.com/bmbolstad/preprocessCore")
15501 (synopsis "Collection of pre-processing functions")
15502 (description
15503 "This package provides a library of core pre-processing and normalization
15504 routines.")
15505 (license license:lgpl2.0+)))
15506
15507 (define-public r-s4vectors
15508 (package
15509 (name "r-s4vectors")
15510 (version "0.34.0")
15511 (source (origin
15512 (method url-fetch)
15513 (uri (bioconductor-uri "S4Vectors" version))
15514 (sha256
15515 (base32
15516 "0j3ybhzdhlhw8527nks3mjja28asjya2n0m0rjkh4bw66rkfys4k"))))
15517 (properties
15518 `((upstream-name . "S4Vectors")))
15519 (build-system r-build-system)
15520 (propagated-inputs
15521 (list r-biocgenerics))
15522 (home-page "https://bioconductor.org/packages/S4Vectors")
15523 (synopsis "S4 implementation of vectors and lists")
15524 (description
15525 "The S4Vectors package defines the @code{Vector} and @code{List} virtual
15526 classes and a set of generic functions that extend the semantic of ordinary
15527 vectors and lists in R. Package developers can easily implement vector-like
15528 or list-like objects as concrete subclasses of @code{Vector} or @code{List}.
15529 In addition, a few low-level concrete subclasses of general interest (e.g.
15530 @code{DataFrame}, @code{Rle}, and @code{Hits}) are implemented in the
15531 S4Vectors package itself.")
15532 (license license:artistic2.0)))
15533
15534 ;; This is a CRAN package, but it depends on preprocessorcore, which is a
15535 ;; Bioconductor package.
15536 (define-public r-wgcna
15537 (package
15538 (name "r-wgcna")
15539 (version "1.71")
15540 (source
15541 (origin
15542 (method url-fetch)
15543 (uri (cran-uri "WGCNA" version))
15544 (sha256
15545 (base32
15546 "027pkc4pyn9bifqbjs05318gvlm06mffw016j50n59wfi2g39x91"))))
15547 (properties `((upstream-name . "WGCNA")))
15548 (build-system r-build-system)
15549 (propagated-inputs
15550 (list r-annotationdbi
15551 r-doparallel
15552 r-dynamictreecut
15553 r-fastcluster
15554 r-foreach
15555 r-go-db
15556 r-hmisc
15557 r-impute
15558 r-rcpp
15559 r-survival
15560 r-matrixstats
15561 r-preprocesscore))
15562 (home-page
15563 "http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
15564 (synopsis "Weighted correlation network analysis")
15565 (description
15566 "This package provides functions necessary to perform Weighted
15567 Correlation Network Analysis on high-dimensional data. It includes functions
15568 for rudimentary data cleaning, construction and summarization of correlation
15569 networks, module identification and functions for relating both variables and
15570 modules to sample traits. It also includes a number of utility functions for
15571 data manipulation and visualization.")
15572 (license license:gpl2+)))
15573
15574 (define-public r-rgraphviz
15575 (package
15576 (name "r-rgraphviz")
15577 (version "2.40.0")
15578 (source
15579 (origin
15580 (method url-fetch)
15581 (uri (bioconductor-uri "Rgraphviz" version))
15582 (sha256
15583 (base32
15584 "1r6ff7w2bmyfl1vzjvpgnhb8f5arwjlpab8fw5ph8fgyiqbcx94l"))))
15585 (properties `((upstream-name . "Rgraphviz")))
15586 (build-system r-build-system)
15587 (arguments
15588 `(#:phases
15589 (modify-phases %standard-phases
15590 (add-after 'unpack 'make-reproducible
15591 (lambda _
15592 ;; The replacement value is taken from src/graphviz/builddate.h
15593 (substitute* "src/graphviz/configure"
15594 (("VERSION_DATE=.*")
15595 "VERSION_DATE=20200427.2341\n"))
15596 #t)))))
15597 ;; FIXME: Rgraphviz bundles the sources of an older variant of
15598 ;; graphviz. It does not build with the latest version of graphviz, so
15599 ;; we do not add graphviz to the inputs.
15600 (inputs (list zlib))
15601 (propagated-inputs
15602 (list r-graph))
15603 (native-inputs
15604 (list pkg-config))
15605 (home-page "https://bioconductor.org/packages/Rgraphviz")
15606 (synopsis "Plotting capabilities for R graph objects")
15607 (description
15608 "This package interfaces R with the graphviz library for plotting R graph
15609 objects from the @code{graph} package.")
15610 (license license:epl1.0)))
15611
15612 (define-public r-fishpond
15613 (package
15614 (name "r-fishpond")
15615 (version "2.2.0")
15616 (source (origin
15617 (method url-fetch)
15618 (uri (bioconductor-uri "fishpond" version))
15619 (sha256
15620 (base32
15621 "0svp4yh0srhzbbxy1grchzdd9yzchadjp3d2sy2n9xpwxzpkhrym"))))
15622 (properties `((upstream-name . "fishpond")))
15623 (build-system r-build-system)
15624 (inputs (list zlib))
15625 (propagated-inputs
15626 (list r-abind
15627 r-genomicranges
15628 r-gtools
15629 r-iranges
15630 r-jsonlite
15631 r-matrix
15632 r-matrixstats
15633 r-qvalue
15634 r-rcpp
15635 r-s4vectors
15636 r-singlecellexperiment
15637 r-summarizedexperiment
15638 r-svmisc))
15639 (native-inputs (list r-knitr))
15640 (home-page "https://github.com/mikelove/fishpond")
15641 (synopsis "Downstream methods and tools for expression data")
15642 (description
15643 "The @code{fishpond} package contains methods for differential transcript
15644 and gene expression analysis of RNA-seq data using inferential replicates for
15645 uncertainty of abundance quantification, as generated by Gibbs sampling or
15646 bootstrap sampling. Also the package contains a number of utilities for
15647 working with Salmon and Alevin quantification files.")
15648 (license license:gpl2)))
15649
15650 (define-public r-fithic
15651 (package
15652 (name "r-fithic")
15653 (version "1.22.0")
15654 (source (origin
15655 (method url-fetch)
15656 (uri (bioconductor-uri "FitHiC" version))
15657 (sha256
15658 (base32
15659 "0iv14yx3g7shzl8qrjknyxbmiylj51sbd1wzr1ff9lc5shgl55kq"))))
15660 (properties `((upstream-name . "FitHiC")))
15661 (build-system r-build-system)
15662 (propagated-inputs
15663 (list r-data-table r-fdrtool r-rcpp))
15664 (native-inputs
15665 (list r-knitr))
15666 (home-page "https://bioconductor.org/packages/FitHiC")
15667 (synopsis "Confidence estimation for intra-chromosomal contact maps")
15668 (description
15669 "Fit-Hi-C is a tool for assigning statistical confidence estimates to
15670 intra-chromosomal contact maps produced by genome-wide genome architecture
15671 assays such as Hi-C.")
15672 (license license:gpl2+)))
15673
15674 (define-public r-hitc
15675 (package
15676 (name "r-hitc")
15677 (version "1.40.0")
15678 (source (origin
15679 (method url-fetch)
15680 (uri (bioconductor-uri "HiTC" version))
15681 (sha256
15682 (base32
15683 "1pkshlrra26cad0hf8a54brlkazni6rsvrplh36azxapx5rpps4s"))))
15684 (properties `((upstream-name . "HiTC")))
15685 (build-system r-build-system)
15686 (propagated-inputs
15687 (list r-biostrings
15688 r-genomeinfodb
15689 r-genomicranges
15690 r-iranges
15691 r-matrix
15692 r-rcolorbrewer
15693 r-rtracklayer))
15694 (home-page "https://bioconductor.org/packages/HiTC")
15695 (synopsis "High throughput chromosome conformation capture analysis")
15696 (description
15697 "The HiTC package was developed to explore high-throughput \"C\" data
15698 such as 5C or Hi-C. Dedicated R classes as well as standard methods for
15699 quality controls, normalization, visualization, and further analysis are also
15700 provided.")
15701 (license license:artistic2.0)))
15702
15703 (define-public r-hdf5array
15704 (package
15705 (name "r-hdf5array")
15706 (version "1.24.2")
15707 (source
15708 (origin
15709 (method url-fetch)
15710 (uri (bioconductor-uri "HDF5Array" version))
15711 (sha256
15712 (base32
15713 "1dzx5463ig3ag72a47slc4jbq5id11w77cj0zgzr85h0dbxklrr9"))))
15714 (properties `((upstream-name . "HDF5Array")))
15715 (build-system r-build-system)
15716 (inputs
15717 (list zlib))
15718 (propagated-inputs
15719 (list r-biocgenerics
15720 r-delayedarray
15721 r-iranges
15722 r-matrix
15723 r-rhdf5
15724 r-rhdf5filters
15725 r-rhdf5lib
15726 r-s4vectors))
15727 (home-page "https://bioconductor.org/packages/HDF5Array")
15728 (synopsis "HDF5 back end for DelayedArray objects")
15729 (description "This package provides an array-like container for convenient
15730 access and manipulation of HDF5 datasets. It supports delayed operations and
15731 block processing.")
15732 (license license:artistic2.0)))
15733
15734 (define-public r-rhdf5lib
15735 (package
15736 (name "r-rhdf5lib")
15737 (version "1.18.2")
15738 (source
15739 (origin
15740 (method url-fetch)
15741 (uri (bioconductor-uri "Rhdf5lib" version))
15742 (sha256
15743 (base32
15744 "1jpb8h7c724yz51zjfqs90bsqxgmy1rry2ra9qamsgqpr2j9764g"))
15745 (modules '((guix build utils)))
15746 (snippet
15747 '(begin
15748 ;; Delete bundled binaries
15749 (delete-file-recursively "src/wininclude/")
15750 (delete-file-recursively "src/winlib/")
15751 (delete-file "src/hdf5small_cxx_hl_1.10.7.tar.gz")))))
15752 (properties `((upstream-name . "Rhdf5lib")))
15753 (build-system r-build-system)
15754 (arguments
15755 `(#:phases
15756 (modify-phases %standard-phases
15757 (add-after 'unpack 'do-not-use-bundled-hdf5
15758 (lambda* (#:key inputs #:allow-other-keys)
15759 (for-each delete-file '("configure" "configure.ac"))
15760 (substitute* "R/zzz.R"
15761 (("return\\(links\\)") "return(\" -lz\")"))
15762 (with-directory-excursion "src"
15763 (invoke "tar" "xvf" (assoc-ref inputs "hdf5-source"))
15764 (rename-file (string-append "hdf5-" ,(package-version hdf5-1.10))
15765 "hdf5")
15766 ;; Remove timestamp and host system information to make
15767 ;; the build reproducible.
15768 (substitute* "hdf5/src/libhdf5.settings.in"
15769 (("Configured on: @CONFIG_DATE@")
15770 "Configured on: Guix")
15771 (("Uname information:.*")
15772 "Uname information: Linux\n")
15773 ;; Remove unnecessary store reference.
15774 (("C Compiler:.*")
15775 "C Compiler: GCC\n"))
15776 (rename-file "hdf5/src/libhdf5.settings.in"
15777 "hdf5/src/libhdf5.settings")
15778 (rename-file "Makevars.in" "Makevars")
15779 (substitute* "Makevars"
15780 (("@BUILD_HDF5@") "")
15781 (("@COPY_SZIP@") "")
15782 (("@ZLIB_LIB@") "-lz")
15783 (("@ZLIB_INCLUDE@") "")
15784 (("HDF5_CXX_LIB=.*")
15785 (string-append "HDF5_CXX_LIB="
15786 (assoc-ref inputs "hdf5") "/lib/libhdf5_cpp.a\n"))
15787 (("HDF5_LIB=.*")
15788 (string-append "HDF5_LIB="
15789 (assoc-ref inputs "hdf5") "/lib/libhdf5.a\n"))
15790 (("HDF5_CXX_INCLUDE=.*") "HDF5_CXX_INCLUDE=./hdf5/c++/src\n")
15791 (("HDF5_INCLUDE=.*") "HDF5_INCLUDE=./hdf5/src\n")
15792 (("HDF5_HL_INCLUDE=.*") "HDF5_HL_INCLUDE=./hdf5/hl/src\n")
15793 (("HDF5_HL_CXX_INCLUDE=.*") "HDF5_HL_CXX_INCLUDE=./hdf5/hl/c++/src\n")
15794 (("HDF5_HL_LIB=.*")
15795 (string-append "HDF5_HL_LIB="
15796 (assoc-ref inputs "hdf5") "/lib/libhdf5_hl.a\n"))
15797 (("HDF5_HL_CXX_LIB=.*")
15798 (string-append "HDF5_HL_CXX_LIB="
15799 (assoc-ref inputs "hdf5") "/lib/libhdf5_hl_cpp.a\n"))
15800 ;; szip is non-free software
15801 (("cp \"\\$\\{SZIP_LIB\\}.*") "")
15802 (("PKG_LIBS =.*") "PKG_LIBS = -lz -lhdf5\n"))))))))
15803 (propagated-inputs
15804 (list hdf5-1.10 zlib))
15805 (native-inputs
15806 `(("hdf5-source" ,(package-source hdf5-1.10))
15807 ("r-knitr" ,r-knitr)))
15808 (home-page "https://bioconductor.org/packages/Rhdf5lib")
15809 (synopsis "HDF5 library as an R package")
15810 (description "This package provides C and C++ HDF5 libraries for use in R
15811 packages.")
15812 (license license:artistic2.0)))
15813
15814 (define-public r-beachmat
15815 (package
15816 (name "r-beachmat")
15817 (version "2.12.0")
15818 (source
15819 (origin
15820 (method url-fetch)
15821 (uri (bioconductor-uri "beachmat" version))
15822 (sha256
15823 (base32
15824 "0fc6vvjjq1mfjfj2zqkap3rwvinnfqjs0cpk1447sspvd1rjya8c"))))
15825 (build-system r-build-system)
15826 (propagated-inputs
15827 (list r-biocgenerics r-delayedarray r-matrix r-rcpp))
15828 (native-inputs
15829 (list r-knitr))
15830 (home-page "https://bioconductor.org/packages/beachmat")
15831 (synopsis "Compiling Bioconductor to handle each matrix type")
15832 (description "This package provides a consistent C++ class interface for a
15833 variety of commonly used matrix types, including sparse and HDF5-backed
15834 matrices.")
15835 (license license:gpl3)))
15836
15837 ;; This package includes files that have been taken from kentutils. Some
15838 ;; parts of kentutils are not released under a free license, but this package
15839 ;; only uses files that are also found in the free parts of kentutils.
15840 (define-public r-cner
15841 (package
15842 (name "r-cner")
15843 (version "1.32.0")
15844 (source
15845 (origin
15846 (method url-fetch)
15847 (uri (bioconductor-uri "CNEr" version))
15848 (sha256
15849 (base32 "05zvr5fv8nprxqh2wvvrlf737dq242i20p1rpyqjaxihl6xl62kq"))))
15850 (properties `((upstream-name . "CNEr")))
15851 (build-system r-build-system)
15852 (inputs (list zlib))
15853 (propagated-inputs
15854 (list r-annotate
15855 r-biocgenerics
15856 r-biostrings
15857 r-dbi
15858 r-genomeinfodb
15859 r-genomicalignments
15860 r-genomicranges
15861 r-ggplot2
15862 r-go-db
15863 r-iranges
15864 r-keggrest
15865 r-powerlaw
15866 r-r-utils
15867 r-readr
15868 r-reshape2
15869 r-rsqlite
15870 r-rtracklayer
15871 r-s4vectors
15872 r-xvector))
15873 (native-inputs
15874 (list r-knitr))
15875 (home-page "https://github.com/ge11232002/CNEr")
15876 (synopsis "CNE Detection and Visualization")
15877 (description
15878 "This package provides tools for large-scale identification and
15879 advanced visualization of sets of conserved noncoding elements.")
15880 ;; For all files in src/ucsc "license is hereby granted for all use -
15881 ;; public, private or commercial"; this includes those files that don't
15882 ;; have a license header, because they are included in the free parts of
15883 ;; the kentutils package.
15884 (license (list license:gpl2
15885 (license:non-copyleft
15886 "https://raw.githubusercontent.com/ucscGenomeBrowser/kent/v410_base/src/lib/LICENSE")))))
15887
15888 (define-public r-tfbstools
15889 (package
15890 (name "r-tfbstools")
15891 (version "1.34.0")
15892 (source
15893 (origin
15894 (method url-fetch)
15895 (uri (bioconductor-uri "TFBSTools" version))
15896 (sha256
15897 (base32
15898 "0l6j1r2cx7jfd39qzbyynk4jvzd81ys6yypzxjc97js4kkyrx29w"))))
15899 (properties `((upstream-name . "TFBSTools")))
15900 (build-system r-build-system)
15901 (propagated-inputs
15902 (list r-biobase
15903 r-biocgenerics
15904 r-biocparallel
15905 r-biostrings
15906 r-bsgenome
15907 r-catools
15908 r-cner
15909 r-dbi
15910 r-dirichletmultinomial
15911 r-genomeinfodb
15912 r-genomicranges
15913 r-gtools
15914 r-iranges
15915 r-rsqlite
15916 r-rtracklayer
15917 r-s4vectors
15918 r-seqlogo
15919 r-tfmpvalue
15920 r-xml
15921 r-xvector))
15922 (native-inputs (list r-knitr))
15923 (home-page "https://github.com/ge11232002/TFBSTools")
15924 (synopsis "Transcription factor binding site (TFBS) analysis")
15925 (description
15926 "TFBSTools is a package for the analysis and manipulation of
15927 transcription factor binding sites. It includes matrices conversion
15928 between @dfn{Position Frequency Matrix} (PFM), @dfn{Position Weight
15929 Matrix} (PWM) and @dfn{Information Content Matrix} (ICM). It can also
15930 scan putative TFBS from sequence/alignment, query JASPAR database and
15931 provides a wrapper of de novo motif discovery software.")
15932 (license license:gpl2)))
15933
15934 (define-public r-maftools
15935 (package
15936 (name "r-maftools")
15937 (version "2.12.0")
15938 (source
15939 (origin
15940 (method url-fetch)
15941 (uri (bioconductor-uri "maftools" version))
15942 (sha256
15943 (base32 "1gqfi95v4fs64n4walij0g2kds3fbbwp6lih5yakmgf6kj8fpkk6"))))
15944 (properties `((upstream-name . "maftools")))
15945 (build-system r-build-system)
15946 (propagated-inputs
15947 (list r-data-table
15948 r-dnacopy
15949 r-rcolorbrewer
15950 r-rhtslib
15951 r-survival
15952 r-zlibbioc))
15953 (native-inputs (list r-knitr))
15954 (home-page "https://github.com/PoisonAlien/maftools")
15955 (synopsis "Summarize, analyze and visualize MAF files")
15956 (description
15957 "Analyze and visualize Mutation Annotation Format (MAF) files from large
15958 scale sequencing studies. This package provides various functions to perform
15959 most commonly used analyses in cancer genomics and to create feature rich
15960 customizable visualzations with minimal effort.")
15961 (license license:expat)))
15962
15963 (define-public r-motifmatchr
15964 (package
15965 (name "r-motifmatchr")
15966 (version "1.18.0")
15967 (source
15968 (origin
15969 (method url-fetch)
15970 (uri (bioconductor-uri "motifmatchr" version))
15971 (sha256
15972 (base32
15973 "1ssn00mxwk23zr5na0vcmxvm69i68f0ga0wqlv1nk2isg0wpv878"))))
15974 (properties `((upstream-name . "motifmatchr")))
15975 (build-system r-build-system)
15976 (propagated-inputs
15977 (list r-biostrings
15978 r-bsgenome
15979 r-genomeinfodb
15980 r-genomicranges
15981 r-iranges
15982 r-matrix
15983 r-rcpp
15984 r-rcpparmadillo
15985 r-rsamtools
15986 r-s4vectors
15987 r-summarizedexperiment
15988 r-tfbstools))
15989 (native-inputs (list r-knitr))
15990 (home-page "https://bioconductor.org/packages/motifmatchr")
15991 (synopsis "Fast motif matching in R")
15992 (description
15993 "Quickly find motif matches for many motifs and many sequences.
15994 This package wraps C++ code from the MOODS motif calling library.")
15995 (license license:gpl3)))
15996
15997 (define-public r-chromvar
15998 (package
15999 (name "r-chromvar")
16000 (version "1.18.0")
16001 (source
16002 (origin
16003 (method url-fetch)
16004 (uri (bioconductor-uri "chromVAR" version))
16005 (sha256
16006 (base32 "0vhsvkm4kvln0002f13ayk57f9fmiz1kw9vwpsm1vds1vahd656m"))))
16007 (properties `((upstream-name . "chromVAR")))
16008 (build-system r-build-system)
16009 (propagated-inputs
16010 (list r-biocgenerics
16011 r-biocparallel
16012 r-biostrings
16013 r-bsgenome
16014 r-dt
16015 r-genomeinfodb
16016 r-genomicranges
16017 r-ggplot2
16018 r-iranges
16019 r-matrix
16020 r-miniui
16021 r-nabor
16022 r-plotly
16023 r-rcolorbrewer
16024 r-rcpp
16025 r-rcpparmadillo
16026 r-rsamtools
16027 r-rtsne
16028 r-s4vectors
16029 r-shiny
16030 r-summarizedexperiment
16031 r-tfbstools))
16032 (native-inputs (list r-knitr))
16033 (home-page "https://bioconductor.org/packages/release/bioc/html/chromVAR.html")
16034 (synopsis "Determine chromatin variation across regions")
16035 (description
16036 "This package @code{r-chromvar} determines variation in chromatin
16037 accessibility across sets of annotations or peaks. @code{r-chromvar} is
16038 designed primarily for single-cell or sparse chromatin accessibility data like
16039 single cell assay for transposase-accessible chromatin using
16040 sequencing (@code{scATAC-seq} or sparse bulk ATAC or deoxyribonuclease
16041 sequence (@code{DNAse-seq}) experiments.")
16042 (license license:expat)))
16043
16044 (define-public r-singlecellexperiment
16045 (package
16046 (name "r-singlecellexperiment")
16047 (version "1.18.0")
16048 (source
16049 (origin
16050 (method url-fetch)
16051 (uri (bioconductor-uri "SingleCellExperiment" version))
16052 (sha256
16053 (base32
16054 "0s1aqbvlfnzijzfywjfpinqmxqj269dq2d3zlgf4xw9c1nwwnv7p"))))
16055 (properties
16056 `((upstream-name . "SingleCellExperiment")))
16057 (build-system r-build-system)
16058 (propagated-inputs
16059 (list r-biocgenerics r-delayedarray r-genomicranges r-s4vectors
16060 r-summarizedexperiment))
16061 (native-inputs
16062 (list r-knitr))
16063 (home-page "https://bioconductor.org/packages/SingleCellExperiment")
16064 (synopsis "S4 classes for single cell data")
16065 (description "This package defines an S4 class for storing data from
16066 single-cell experiments. This includes specialized methods to store and
16067 retrieve spike-in information, dimensionality reduction coordinates and size
16068 factors for each cell, along with the usual metadata for genes and
16069 libraries.")
16070 (license license:gpl3)))
16071
16072 (define-public r-singler
16073 (package
16074 (name "r-singler")
16075 (version "1.10.0")
16076 (source
16077 (origin
16078 (method url-fetch)
16079 (uri (bioconductor-uri "SingleR" version))
16080 (sha256
16081 (base32 "0qbyc6ygw2xv3li9187i3axsw6ihwpa7pkvxvy9cagv7xck45c5y"))))
16082 (properties `((upstream-name . "SingleR")))
16083 (build-system r-build-system)
16084 (propagated-inputs
16085 (list r-beachmat
16086 r-biocneighbors
16087 r-biocparallel
16088 r-biocsingular
16089 r-delayedarray
16090 r-delayedmatrixstats
16091 r-matrix
16092 r-rcpp
16093 r-s4vectors
16094 r-summarizedexperiment))
16095 (native-inputs (list r-knitr))
16096 (home-page "https://github.com/LTLA/SingleR")
16097 (synopsis "Reference-based single-cell RNA-seq annotation")
16098 (description
16099 "This package performs unbiased cell type recognition from single-cell
16100 RNA sequencing data, by leveraging reference transcriptomic datasets of pure
16101 cell types to infer the cell of origin of each single cell independently.")
16102 (license license:gpl3)))
16103
16104 (define-public r-scuttle
16105 (package
16106 (name "r-scuttle")
16107 (version "1.6.3")
16108 (source
16109 (origin
16110 (method url-fetch)
16111 (uri (bioconductor-uri "scuttle" version))
16112 (sha256
16113 (base32
16114 "1w1jy5fqkp2d03lp84d49fsksnl0pcg0wgqyd49d5k1mipdw4671"))))
16115 (properties `((upstream-name . "scuttle")))
16116 (build-system r-build-system)
16117 (propagated-inputs
16118 (list r-beachmat
16119 r-biocgenerics
16120 r-biocparallel
16121 r-delayedarray
16122 r-delayedmatrixstats
16123 r-genomicranges
16124 r-matrix
16125 r-rcpp
16126 r-s4vectors
16127 r-singlecellexperiment
16128 r-summarizedexperiment))
16129 (native-inputs (list r-knitr))
16130 (home-page "https://bioconductor.org/packages/scuttle")
16131 (synopsis "Single-cell RNA-Seq analysis utilities")
16132 (description
16133 "This package provides basic utility functions for performing single-cell
16134 analyses, focusing on simple normalization, quality control and data
16135 transformations. It also provides some helper functions to assist development
16136 of other packages.")
16137 (license license:gpl3)))
16138
16139 (define-public r-scater
16140 (package
16141 (name "r-scater")
16142 (version "1.24.0")
16143 (source (origin
16144 (method url-fetch)
16145 (uri (bioconductor-uri "scater" version))
16146 (sha256
16147 (base32
16148 "0dqirggw7my5nq4ln9q0ya18ciqplkz9gx318ffias9ag3yii5rw"))))
16149 (build-system r-build-system)
16150 (propagated-inputs
16151 (list r-beachmat
16152 r-biocgenerics
16153 r-biocneighbors
16154 r-biocparallel
16155 r-biocsingular
16156 r-delayedarray
16157 r-delayedmatrixstats
16158 r-ggbeeswarm
16159 r-ggplot2
16160 r-ggrepel
16161 r-gridextra
16162 r-matrix
16163 r-rcolorbrewer
16164 r-rcppml
16165 r-rlang
16166 r-rtsne
16167 r-s4vectors
16168 r-scuttle
16169 r-singlecellexperiment
16170 r-summarizedexperiment
16171 r-viridis))
16172 (native-inputs
16173 (list r-knitr))
16174 (home-page "https://github.com/davismcc/scater")
16175 (synopsis "Single-cell analysis toolkit for gene expression data in R")
16176 (description "This package provides a collection of tools for doing
16177 various analyses of single-cell RNA-seq gene expression data, with a focus on
16178 quality control.")
16179 (license license:gpl2+)))
16180
16181 (define-public r-scran
16182 (package
16183 (name "r-scran")
16184 (version "1.24.1")
16185 (source
16186 (origin
16187 (method url-fetch)
16188 (uri (bioconductor-uri "scran" version))
16189 (sha256
16190 (base32
16191 "1a6vlq8i5gh7zxm6igmy75187pkx42z28qjag50m49xy5valw3ni"))))
16192 (build-system r-build-system)
16193 (propagated-inputs
16194 (list r-beachmat
16195 r-bh
16196 r-biocgenerics
16197 r-biocparallel
16198 r-biocsingular
16199 r-bluster
16200 r-delayedarray
16201 r-delayedmatrixstats
16202 r-dqrng
16203 r-edger
16204 r-igraph
16205 r-limma
16206 r-matrix
16207 r-metapod
16208 r-rcpp
16209 r-s4vectors
16210 r-scuttle
16211 r-singlecellexperiment
16212 r-statmod
16213 r-summarizedexperiment))
16214 (native-inputs
16215 (list r-knitr))
16216 (home-page "https://bioconductor.org/packages/scran")
16217 (synopsis "Methods for single-cell RNA-Seq data analysis")
16218 (description "This package implements a variety of low-level analyses of
16219 single-cell RNA-seq data. Methods are provided for normalization of
16220 cell-specific biases, assignment of cell cycle phase, and detection of highly
16221 variable and significantly correlated genes.")
16222 (license license:gpl3)))
16223
16224 (define-public r-sparsematrixstats
16225 (package
16226 (name "r-sparsematrixstats")
16227 (version "1.8.0")
16228 (source
16229 (origin
16230 (method url-fetch)
16231 (uri (bioconductor-uri "sparseMatrixStats" version))
16232 (sha256
16233 (base32
16234 "0p12kay7p5zbfm2589wdx0n9jhgpf5fb2fsmkhn3p4ck4xcy13x2"))))
16235 (properties
16236 `((upstream-name . "sparseMatrixStats")))
16237 (build-system r-build-system)
16238 (propagated-inputs
16239 (list r-matrix r-matrixgenerics r-matrixstats r-rcpp))
16240 (native-inputs (list r-knitr))
16241 (home-page "https://bioconductor.org/packages/sparseMatrixStats/")
16242 (synopsis "Summary statistics for rows and columns of sparse matrices")
16243 (description
16244 "This package provides high performance functions for row and column
16245 operations on sparse matrices. Currently, the optimizations are limited to
16246 data in the column sparse format.")
16247 (license license:expat)))
16248
16249 (define-public r-delayedmatrixstats
16250 (package
16251 (name "r-delayedmatrixstats")
16252 (version "1.18.1")
16253 (source
16254 (origin
16255 (method url-fetch)
16256 (uri (bioconductor-uri "DelayedMatrixStats" version))
16257 (sha256
16258 (base32
16259 "1kq643fmfzq1qjvpj3kc092ahc3qamqgx53layqsyvz5mil55jjv"))))
16260 (properties
16261 `((upstream-name . "DelayedMatrixStats")))
16262 (build-system r-build-system)
16263 (propagated-inputs
16264 (list r-delayedarray
16265 r-iranges
16266 r-matrix
16267 r-matrixgenerics
16268 r-matrixstats
16269 r-s4vectors
16270 r-sparsematrixstats))
16271 (native-inputs
16272 (list r-knitr))
16273 (home-page "https://github.com/PeteHaitch/DelayedMatrixStats")
16274 (synopsis "Functions that apply to rows and columns of DelayedMatrix objects")
16275 (description
16276 "This package provides a port of the @code{matrixStats} API for use with
16277 @code{DelayedMatrix} objects from the @code{DelayedArray} package. It
16278 contains high-performing functions operating on rows and columns of
16279 @code{DelayedMatrix} objects, e.g. @code{colMedians}, @code{rowMedians},
16280 @code{colRanks}, @code{rowRanks}, @code{colSds}, and @code{rowSds}. Functions
16281 are optimized per data type and for subsetted calculations such that both
16282 memory usage and processing time is minimized.")
16283 (license license:expat)))
16284
16285 (define-public r-mscoreutils
16286 (package
16287 (name "r-mscoreutils")
16288 (version "1.8.0")
16289 (source
16290 (origin
16291 (method url-fetch)
16292 (uri (bioconductor-uri "MsCoreUtils" version))
16293 (sha256
16294 (base32
16295 "077x1zcy27x8akmagjn75j97082cgnahrbfw0qx08q455m5x3xzh"))))
16296 (properties `((upstream-name . "MsCoreUtils")))
16297 (build-system r-build-system)
16298 (propagated-inputs
16299 (list r-clue r-mass r-rcpp r-s4vectors))
16300 (native-inputs
16301 (list r-knitr))
16302 (home-page "https://github.com/RforMassSpectrometry/MsCoreUtils")
16303 (synopsis "Core utils for mass spectrometry data")
16304 (description
16305 "This package defines low-level functions for mass spectrometry data and
16306 is independent of any high-level data structures. These functions include
16307 mass spectra processing functions (noise estimation, smoothing, binning),
16308 quantitative aggregation functions (median polish, robust summarisation,
16309 etc.), missing data imputation, data normalisation (quantiles, vsn, etc.) as
16310 well as misc helper functions, that are used across high-level data structure
16311 within the R for Mass Spectrometry packages.")
16312 (license license:artistic2.0)))
16313
16314 (define-public r-msfeatures
16315 (package
16316 (name "r-msfeatures")
16317 (version "1.4.0")
16318 (source
16319 (origin
16320 (method url-fetch)
16321 (uri (bioconductor-uri "MsFeatures" version))
16322 (sha256
16323 (base32 "111iqcq4q315pb4j8z427shin9b00p179m2s9h6dd7imvbd68yq3"))))
16324 (properties `((upstream-name . "MsFeatures")))
16325 (build-system r-build-system)
16326 (propagated-inputs
16327 (list r-mscoreutils r-protgenerics r-summarizedexperiment))
16328 (native-inputs
16329 (list r-knitr))
16330 (home-page "https://github.com/RforMassSpectrometry/MsFeatures")
16331 (synopsis "Functionality for mass spectrometry features")
16332 (description
16333 "The MsFeature package defines functionality for Mass Spectrometry
16334 features. This includes functions to group (LC-MS) features based on some of
16335 their properties, such as retention time (coeluting features), or correlation
16336 of signals across samples. This package hence can be used to group features, and
16337 its results can be used as an input for the @code{QFeatures} package which
16338 allows aggregating abundance levels of features within each group. This
16339 package defines concepts and functions for base and common data types,
16340 implementations for more specific data types are expected to be implemented in
16341 the respective packages (such as e.g. @code{xcms}).")
16342 (license license:artistic2.0)))
16343
16344 (define-public r-biocio
16345 (package
16346 (name "r-biocio")
16347 (version "1.6.0")
16348 (source
16349 (origin
16350 (method url-fetch)
16351 (uri (bioconductor-uri "BiocIO" version))
16352 (sha256
16353 (base32
16354 "16j826w4zrmbgpmq6nyglcrjailsfv48ih1rz1qn383g7v503ydp"))))
16355 (properties `((upstream-name . "BiocIO")))
16356 (build-system r-build-system)
16357 (propagated-inputs
16358 (list r-biocgenerics r-s4vectors))
16359 (native-inputs
16360 (list r-knitr))
16361 (home-page "https://bioconductor.org/packages/BiocIO")
16362 (synopsis "Standard input and output for Bioconductor packages")
16363 (description
16364 "This package implements `import()` and `export()` standard generics for
16365 importing and exporting biological data formats. `import()` supports
16366 whole-file as well as chunk-wise iterative import. The `import()` interface
16367 optionally provides a standard mechanism for 'lazy' access via `filter()` (on
16368 row or element-like components of the file resource), `select()` (on
16369 column-like components of the file resource) and `collect()`. The `import()`
16370 interface optionally provides transparent access to remote (e.g. via https)
16371 as well as local access. Developers can register a file extension, e.g.,
16372 `.loom` for dispatch from character-based URIs to specific `import()` /
16373 `export()` methods based on classes representing file types, e.g.,
16374 `LoomFile()`.")
16375 (license license:artistic2.0)))
16376
16377 (define-public r-msmseda
16378 (package
16379 (name "r-msmseda")
16380 (version "1.34.0")
16381 (source
16382 (origin
16383 (method url-fetch)
16384 (uri (bioconductor-uri "msmsEDA" version))
16385 (sha256
16386 (base32
16387 "0jnaq9ar4mnf3pfhka9hvk61p51ny9jws49xi8z29dq288b42b42"))))
16388 (properties `((upstream-name . "msmsEDA")))
16389 (build-system r-build-system)
16390 (propagated-inputs
16391 (list r-gplots r-mass r-msnbase r-rcolorbrewer))
16392 (home-page
16393 "https://bioconductor.org/packages/msmsEDA")
16394 (synopsis "Exploratory data analysis of LC-MS/MS data by spectral counts")
16395 (description
16396 "Exploratory data analysis to assess the quality of a set of LC-MS/MS
16397 experiments, and visualize de influence of the involved factors.")
16398 (license license:gpl2)))
16399
16400 (define-public r-msmstests
16401 (package
16402 (name "r-msmstests")
16403 (version "1.34.0")
16404 (source
16405 (origin
16406 (method url-fetch)
16407 (uri (bioconductor-uri "msmsTests" version))
16408 (sha256
16409 (base32
16410 "1wzdz0p9wmr243xkmymx9fwskafkyxgmlip4sd1fy2s06px7r0xi"))))
16411 (properties `((upstream-name . "msmsTests")))
16412 (build-system r-build-system)
16413 (propagated-inputs
16414 (list r-edger r-msmseda r-msnbase r-qvalue))
16415 (home-page
16416 "https://bioconductor.org/packages/msmsTests")
16417 (synopsis "Differential LC-MS/MS expression tests")
16418 (description
16419 "This package provides statistical tests for label-free LC-MS/MS data
16420 by spectral counts, to discover differentially expressed proteins between two
16421 biological conditions. Three tests are available: Poisson GLM regression,
16422 quasi-likelihood GLM regression, and the negative binomial of the edgeR
16423 package. The three models admit blocking factors to control for nuisance
16424 variables. To assure a good level of reproducibility a post-test filter is
16425 available, where we may set the minimum effect size considered biologicaly
16426 relevant, and the minimum expression of the most abundant condition.")
16427 (license license:gpl2)))
16428
16429 (define-public r-catalyst
16430 (package
16431 (name "r-catalyst")
16432 (version "1.20.1")
16433 (source
16434 (origin
16435 (method url-fetch)
16436 (uri (bioconductor-uri "CATALYST" version))
16437 (sha256
16438 (base32
16439 "05vfqwa9qsm16px77s9bzygs6zymcxshymmpvz86a9l1cy1yxbza"))))
16440 (properties `((upstream-name . "CATALYST")))
16441 (build-system r-build-system)
16442 (propagated-inputs
16443 (list r-circlize
16444 r-complexheatmap
16445 r-consensusclusterplus
16446 r-cowplot
16447 r-data-table
16448 r-dplyr
16449 r-drc
16450 r-flowcore
16451 r-flowsom
16452 r-ggplot2
16453 r-ggrepel
16454 r-ggridges
16455 r-gridextra
16456 r-magrittr
16457 r-matrix
16458 r-matrixstats
16459 r-nnls
16460 r-purrr
16461 r-rcolorbrewer
16462 r-reshape2
16463 r-rtsne
16464 r-s4vectors
16465 r-scales
16466 r-scater
16467 r-singlecellexperiment
16468 r-summarizedexperiment))
16469 (native-inputs
16470 (list r-knitr))
16471 (home-page "https://github.com/HelenaLC/CATALYST")
16472 (synopsis "Cytometry data analysis tools")
16473 (description
16474 "This package is @dfn{Cytometry dATa anALYSis Tools} (CATALYST). Mass
16475 cytometry like @dfn{Cytometry by time of flight} (CyTOF) uses heavy metal
16476 isotopes rather than fluorescent tags as reporters to label antibodies,
16477 thereby substantially decreasing spectral overlap and allowing for examination
16478 of over 50 parameters at the single cell level. While spectral overlap is
16479 significantly less pronounced in CyTOF than flow cytometry, spillover due to
16480 detection sensitivity, isotopic impurities, and oxide formation can impede
16481 data interpretability. @code{CATALYST} was designed to provide a pipeline for
16482 preprocessing of cytometry data, including:
16483
16484 @enumerate
16485 @item normalization using bead standards;
16486 @item single-cell deconvolution;
16487 @item bead-based compensation.
16488 @end enumerate
16489 ")
16490 (license license:gpl2+)))
16491
16492 (define-public r-erma
16493 (package
16494 (name "r-erma")
16495 (version "1.12.0")
16496 (source
16497 (origin
16498 (method url-fetch)
16499 (uri (bioconductor-uri "erma" version))
16500 (sha256
16501 (base32
16502 "1ilq01cr2ipxpmp422fikiz6nj4nasjhj0ikcagjn2zmmarpgi1b"))))
16503 (build-system r-build-system)
16504 (propagated-inputs
16505 (list r-annotationdbi
16506 r-biobase
16507 r-biocgenerics
16508 r-biocparallel
16509 r-genomeinfodb
16510 r-genomicfiles
16511 r-genomicranges
16512 r-ggplot2
16513 r-homo-sapiens
16514 r-iranges
16515 r-rtracklayer
16516 r-s4vectors
16517 r-shiny
16518 r-summarizedexperiment))
16519 (native-inputs
16520 (list r-knitr))
16521 (home-page "https://bioconductor.org/packages/erma")
16522 (synopsis "Epigenomic road map adventures")
16523 (description
16524 "The epigenomics road map describes locations of epigenetic marks in DNA
16525 from a variety of cell types. Of interest are locations of histone
16526 modifications, sites of DNA methylation, and regions of accessible chromatin.
16527 This package presents a selection of elements of the road map including
16528 metadata and outputs of the ChromImpute procedure applied to ENCODE cell lines
16529 by Ernst and Kellis.")
16530 (license license:artistic2.0)))
16531
16532 (define-public r-ggbio
16533 (package
16534 (name "r-ggbio")
16535 (version "1.44.1")
16536 (source
16537 (origin
16538 (method url-fetch)
16539 (uri (bioconductor-uri "ggbio" version))
16540 (sha256
16541 (base32
16542 "0iyhjalwq1jmldpn20iv8l2kmz6sm20ddry2yz2zn7yq0wszp3vg"))))
16543 (build-system r-build-system)
16544 (arguments
16545 `(#:phases
16546 (modify-phases %standard-phases
16547 ;; See https://github.com/tengfei/ggbio/issues/117
16548 ;; This fix will be included in the next release.
16549 (add-after 'unpack 'fix-typo
16550 (lambda _
16551 (substitute* "R/GGbio-class.R"
16552 (("fechable") "fetchable"))
16553 #t)))))
16554 (propagated-inputs
16555 (list r-annotationdbi
16556 r-annotationfilter
16557 r-biobase
16558 r-biocgenerics
16559 r-biostrings
16560 r-biovizbase
16561 r-bsgenome
16562 r-ensembldb
16563 r-genomeinfodb
16564 r-genomicalignments
16565 r-genomicfeatures
16566 r-genomicranges
16567 r-ggally
16568 r-ggplot2
16569 r-gridextra
16570 r-gtable
16571 r-hmisc
16572 r-iranges
16573 r-organismdbi
16574 r-reshape2
16575 r-rlang
16576 r-rsamtools
16577 r-rtracklayer
16578 r-s4vectors
16579 r-scales
16580 r-summarizedexperiment
16581 r-variantannotation))
16582 (native-inputs
16583 (list r-knitr))
16584 (home-page "http://www.tengfei.name/ggbio/")
16585 (synopsis "Visualization tools for genomic data")
16586 (description
16587 "The ggbio package extends and specializes the grammar of graphics for
16588 biological data. The graphics are designed to answer common scientific
16589 questions, in particular those often asked of high throughput genomics data.
16590 All core Bioconductor data structures are supported, where appropriate. The
16591 package supports detailed views of particular genomic regions, as well as
16592 genome-wide overviews. Supported overviews include ideograms and grand linear
16593 views. High-level plots include sequence fragment length, edge-linked
16594 interval to data view, mismatch pileup, and several splicing summaries.")
16595 (license license:artistic2.0)))
16596
16597 (define-public r-gqtlbase
16598 (package
16599 (name "r-gqtlbase")
16600 (version "1.21.1")
16601 (source
16602 (origin
16603 (method url-fetch)
16604 (uri (bioconductor-uri "gQTLBase" version))
16605 (sha256
16606 (base32
16607 "0nipibm1bk9k70ajbw1f6vjmz0dh7gk21l17q3m54bnawxsggrfh"))))
16608 (properties `((upstream-name . "gQTLBase")))
16609 (build-system r-build-system)
16610 (arguments
16611 `(#:phases
16612 (modify-phases %standard-phases
16613 ;; This is an upstream bug.
16614 (add-after 'unpack 'fix-imports
16615 (lambda _
16616 (substitute* "NAMESPACE"
16617 ((".*maxffmode.*") "")
16618 (("importFrom\\(ff,.*") "import(ff)\n"))
16619 #t)))))
16620 (propagated-inputs
16621 (list r-batchjobs
16622 r-bbmisc
16623 r-biocgenerics
16624 r-bit
16625 r-doparallel
16626 r-ff
16627 r-ffbase
16628 r-foreach
16629 r-genomicfiles
16630 r-genomicranges
16631 r-rtracklayer
16632 r-s4vectors
16633 r-summarizedexperiment))
16634 (native-inputs
16635 (list r-knitr))
16636 (home-page "https://bioconductor.org/packages/gQTLBase")
16637 (synopsis "Infrastructure for eQTL, mQTL and similar studies")
16638 (description
16639 "The purpose of this package is to simplify the storage and interrogation
16640 of @dfn{quantitative trait loci} (QTL) archives, such as eQTL, mQTL, dsQTL,
16641 and more.")
16642 (license license:artistic2.0)))
16643
16644 (define-public r-gqtlstats
16645 (package
16646 (name "r-gqtlstats")
16647 (version "1.21.3")
16648 (source
16649 (origin
16650 (method url-fetch)
16651 (uri (bioconductor-uri "gQTLstats" version))
16652 (sha256
16653 (base32
16654 "1h78l23idf867djmdk97b02jxgmz4vfr2dai01fp648d0lsx5mkl"))))
16655 (properties `((upstream-name . "gQTLstats")))
16656 (build-system r-build-system)
16657 (propagated-inputs
16658 (list r-annotationdbi
16659 r-batchjobs
16660 r-bbmisc
16661 r-beeswarm
16662 r-biobase
16663 r-biocgenerics
16664 r-doparallel
16665 r-dplyr
16666 r-erma
16667 r-ffbase
16668 r-foreach
16669 r-genomeinfodb
16670 r-genomicfeatures
16671 r-genomicfiles
16672 r-genomicranges
16673 r-ggbeeswarm
16674 r-ggplot2
16675 r-gqtlbase
16676 r-hardyweinberg
16677 r-homo-sapiens
16678 r-iranges
16679 r-limma
16680 r-mgcv
16681 r-plotly
16682 r-reshape2
16683 r-s4vectors
16684 r-shiny
16685 r-snpstats
16686 r-summarizedexperiment
16687 r-variantannotation))
16688 (native-inputs
16689 (list r-knitr))
16690 (home-page "https://bioconductor.org/packages/gQTLstats")
16691 (synopsis "Computationally efficient analysis for eQTL and allied studies")
16692 (description
16693 "This package provides tools for the computationally efficient analysis
16694 of @dfn{quantitative trait loci} (QTL) data, including eQTL, mQTL, dsQTL, etc.
16695 The software in this package aims to support refinements and functional
16696 interpretation of members of a collection of association statistics on a
16697 family of feature/genome hypotheses.")
16698 (license license:artistic2.0)))
16699
16700 (define-public r-gviz
16701 (package
16702 (name "r-gviz")
16703 (version "1.40.1")
16704 (source
16705 (origin
16706 (method url-fetch)
16707 (uri (bioconductor-uri "Gviz" version))
16708 (sha256
16709 (base32
16710 "0as3sxhv21bqqrpvafcqim7798hhkzj3q40hy1rqyhv2lhj4rbvi"))))
16711 (properties `((upstream-name . "Gviz")))
16712 (build-system r-build-system)
16713 (propagated-inputs
16714 (list r-annotationdbi
16715 r-biobase
16716 r-biocgenerics
16717 r-biomart
16718 r-biostrings
16719 r-biovizbase
16720 r-bsgenome
16721 r-digest
16722 r-ensembldb
16723 r-genomeinfodb
16724 r-genomicalignments
16725 r-genomicfeatures
16726 r-genomicranges
16727 r-iranges
16728 r-lattice
16729 r-latticeextra
16730 r-matrixstats
16731 r-rcolorbrewer
16732 r-rsamtools
16733 r-rtracklayer
16734 r-s4vectors
16735 r-xvector))
16736 (native-inputs
16737 (list r-knitr))
16738 (home-page "https://bioconductor.org/packages/Gviz")
16739 (synopsis "Plotting data and annotation information along genomic coordinates")
16740 (description
16741 "Genomic data analyses requires integrated visualization of known genomic
16742 information and new experimental data. Gviz uses the biomaRt and the
16743 rtracklayer packages to perform live annotation queries to Ensembl and UCSC
16744 and translates this to e.g. gene/transcript structures in viewports of the
16745 grid graphics package. This results in genomic information plotted together
16746 with your data.")
16747 (license license:artistic2.0)))
16748
16749 (define-public r-gwascat
16750 (package
16751 (name "r-gwascat")
16752 (version "2.28.1")
16753 (source
16754 (origin
16755 (method url-fetch)
16756 (uri (bioconductor-uri "gwascat" version))
16757 (sha256
16758 (base32
16759 "19ymdxj8966i4yk0zalfw23938cpv4q7pywg4qb242p44na5y9sl"))))
16760 (build-system r-build-system)
16761 (propagated-inputs
16762 (list r-annotationdbi
16763 r-annotationhub
16764 r-biocfilecache
16765 r-biostrings
16766 r-genomeinfodb
16767 r-genomicfeatures
16768 r-genomicranges
16769 r-iranges
16770 r-readr
16771 r-s4vectors
16772 r-snpstats
16773 r-variantannotation))
16774 (native-inputs
16775 (list r-knitr))
16776 (home-page "https://bioconductor.org/packages/gwascat")
16777 (synopsis "Tools for data in the EMBL-EBI GWAS catalog")
16778 (description
16779 "This package provides tools for representing and modeling data in the
16780 EMBL-EBI GWAS catalog.")
16781 (license license:artistic2.0)))
16782
16783 (define-public r-kegggraph
16784 (package
16785 (name "r-kegggraph")
16786 (version "1.56.0")
16787 (source
16788 (origin
16789 (method url-fetch)
16790 (uri (bioconductor-uri "KEGGgraph" version))
16791 (sha256
16792 (base32 "15pq040pcg8hr18xixmjp59xb7mgvygjv6kisqk8yv99l1611ndx"))))
16793 (properties `((upstream-name . "KEGGgraph")))
16794 (build-system r-build-system)
16795 (propagated-inputs
16796 (list r-graph r-rcurl r-rgraphviz r-xml))
16797 (home-page "https://bioconductor.org/packages/KEGGgraph")
16798 (synopsis "Graph approach to Kegg Pathway database in R and Bioconductor")
16799 (description
16800 "@code{r-kegggraph} is an interface between Kegg Pathway database and graph
16801 object as well as a collection of tools to analyze, dissect and visualize these
16802 graphs. It parses the regularly updated kgml (Kegg XML) files into graph models
16803 maintaining all essential pathway attributes. The package offers
16804 functionalities including parsing, graph operation, visualization and etc.")
16805 (license license:gpl2+)))
16806
16807 (define-public r-ldblock
16808 (package
16809 (name "r-ldblock")
16810 (version "1.26.0")
16811 (source
16812 (origin
16813 (method url-fetch)
16814 (uri (bioconductor-uri "ldblock" version))
16815 (sha256
16816 (base32
16817 "08ss03b93czwb4x60hsi30ad4lmamvq5mxa8nj0g18z68qcraijm"))))
16818 (build-system r-build-system)
16819 (propagated-inputs
16820 (list r-biocgenerics
16821 r-ensdb-hsapiens-v75
16822 r-ensembldb
16823 r-genomeinfodb
16824 r-genomicfiles
16825 r-httr
16826 r-matrix
16827 r-rsamtools
16828 r-snpstats
16829 r-variantannotation))
16830 (native-inputs
16831 (list r-knitr))
16832 (home-page "https://bioconductor.org/packages/ldblock")
16833 (synopsis "Data structures for linkage disequilibrium measures in populations")
16834 (description
16835 "This package defines data structures for @dfn{linkage
16836 disequilibrium} (LD) measures in populations. Its purpose is to simplify
16837 handling of existing population-level data for the purpose of flexibly
16838 defining LD blocks.")
16839 (license license:artistic2.0)))
16840
16841 ;; This is a CRAN package, but it depends on r-snpstats, which is a
16842 ;; Bioconductor package.
16843 (define-public r-ldheatmap
16844 (package
16845 (name "r-ldheatmap")
16846 (version "1.0-6")
16847 (source
16848 (origin
16849 (method url-fetch)
16850 (uri (cran-uri "LDheatmap" version))
16851 (sha256
16852 (base32
16853 "0gr99kys1ahyl8s6cbj6rmh4vwid8kn92lcbjnwh0ahb73m2xjjc"))))
16854 (properties `((upstream-name . "LDheatmap")))
16855 (build-system r-build-system)
16856 (propagated-inputs
16857 (list r-genetics r-rcpp r-snpstats))
16858 (home-page "https://stat.sfu.ca/statgen/research/ldheatmap.html")
16859 (synopsis "Graphical display of pairwise linkage disequilibria between SNPs")
16860 (description
16861 "This package provides tools to produce a graphical display, as a heat
16862 map, of measures of pairwise linkage disequilibria between SNPs. Users may
16863 optionally include the physical locations or genetic map distances of each SNP
16864 on the plot.")
16865 (license license:gpl3)))
16866
16867 ;; This is a CRAN package, but it depends on r-rgraphviz, which is a
16868 ;; Bioconductor package.
16869 (define-public r-abn
16870 (package
16871 (name "r-abn")
16872 (version "2.7-1")
16873 (source
16874 (origin
16875 (method url-fetch)
16876 (uri (cran-uri "abn" version))
16877 (sha256
16878 (base32
16879 "1w3jns96m8b9scvaa4hcla3i88a0cfh9qis2l04yixvda5q91gpr"))))
16880 (build-system r-build-system)
16881 (inputs
16882 (list gsl))
16883 (propagated-inputs
16884 (list r-doparallel
16885 r-foreach
16886 r-graph
16887 r-lme4
16888 r-nnet
16889 r-rcpp
16890 r-rcpparmadillo
16891 r-rgraphviz
16892 r-rjags))
16893 (home-page "https://r-bayesian-networks.org/")
16894 (synopsis "Modelling multivariate data with additive bayesian networks")
16895 (description
16896 "Bayesian network analysis is a form of probabilistic graphical models
16897 which derives from empirical data a directed acyclic graph, DAG, describing
16898 the dependency structure between random variables. An additive Bayesian
16899 network model consists of a form of a DAG where each node comprises a
16900 @dfn{generalized linear model} (GLM). Additive Bayesian network models are
16901 equivalent to Bayesian multivariate regression using graphical modelling, they
16902 generalises the usual multivariable regression, GLM, to multiple dependent
16903 variables. This package provides routines to help determine optimal Bayesian
16904 network models for a given data set, where these models are used to identify
16905 statistical dependencies in messy, complex data.")
16906 (license license:gpl2+)))
16907
16908 ;; This is a CRAN package, but it depends on r-rsamtools, which is a
16909 ;; Bioconductor package.
16910 (define-public r-spp
16911 (package
16912 (name "r-spp")
16913 (version "1.16.0")
16914 (source (origin
16915 (method url-fetch)
16916 (uri (cran-uri "spp" version))
16917 (sha256
16918 (base32
16919 "08zxxgyp0h6733b08jmml7k4rhfd3mi5dda3jrzid0s184y0z29w"))))
16920 (build-system r-build-system)
16921 (inputs
16922 (list zlib))
16923 (propagated-inputs
16924 (list r-bh r-catools r-rcpp r-rsamtools))
16925 (home-page "https://cran.r-project.org/web/packages/spp/")
16926 (synopsis "ChIP-Seq processing pipeline")
16927 (description "This package provides tools for analysis of ChIP-seq and
16928 other functional sequencing data.")
16929 (license license:gpl2)))
16930
16931 (define-public r-pathview
16932 (package
16933 (name "r-pathview")
16934 (version "1.36.1")
16935 (source
16936 (origin
16937 (method url-fetch)
16938 (uri (bioconductor-uri "pathview" version))
16939 (sha256
16940 (base32 "11g4zhy4qfq0gmy588334f7s2w1acs2dz9kimax5ya2b8jjibk71"))))
16941 (properties `((upstream-name . "pathview")))
16942 (build-system r-build-system)
16943 (propagated-inputs
16944 (list r-annotationdbi
16945 r-graph
16946 r-kegggraph
16947 r-keggrest
16948 r-org-hs-eg-db
16949 r-png
16950 r-rgraphviz
16951 r-xml))
16952 (home-page "https://pathview.uncc.edu/")
16953 (synopsis "Tool set for pathway based data integration and visualization")
16954 (description
16955 "@code{r-pathview} is a tool set for pathway based data integration and
16956 visualization. It maps and renders a wide variety of biological data on
16957 relevant pathway graphs. All users need is to supply their data and specify
16958 the target pathway. This package automatically downloads the pathway graph
16959 data, parses the data file, maps user data to the pathway, and render pathway
16960 graph with the mapped data. In addition, @code{r-pathview} also seamlessly
16961 integrates with pathway and gene set (enrichment) analysis tools for
16962 large-scale and fully automated analysis.")
16963 (license license:gpl3+)))
16964
16965 (define-public r-snpstats
16966 (package
16967 (name "r-snpstats")
16968 (version "1.46.0")
16969 (source
16970 (origin
16971 (method url-fetch)
16972 (uri (bioconductor-uri "snpStats" version))
16973 (sha256
16974 (base32
16975 "0a5b5nqc7n965jk45ijwkzbn416ib4gfhp8xl39z8f2bdskip4a2"))))
16976 (properties `((upstream-name . "snpStats")))
16977 (build-system r-build-system)
16978 (inputs (list zlib))
16979 (propagated-inputs
16980 (list r-biocgenerics r-matrix r-survival r-zlibbioc))
16981 (home-page "https://bioconductor.org/packages/snpStats")
16982 (synopsis "Methods for SNP association studies")
16983 (description
16984 "This package provides classes and statistical methods for large
16985 @dfn{single-nucleotide polymorphism} (SNP) association studies. This extends
16986 the earlier snpMatrix package, allowing for uncertainty in genotypes.")
16987 (license license:gpl3)))
16988
16989 (define-public r-chromstar
16990 (package
16991 (name "r-chromstar")
16992 (version "1.22.0")
16993 (source
16994 (origin
16995 (method url-fetch)
16996 (uri (bioconductor-uri "chromstaR" version))
16997 (sha256
16998 (base32
16999 "1xjwmnr4hk8v3nwvhqd6ixk5qr2dv0n4mb9wd6nl7cgjfhjsdgj7"))))
17000 (properties `((upstream-name . "chromstaR")))
17001 (build-system r-build-system)
17002 (propagated-inputs
17003 (list r-bamsignals
17004 r-biocgenerics
17005 r-chromstardata
17006 r-doparallel
17007 r-foreach
17008 r-genomeinfodb
17009 r-genomicalignments
17010 r-genomicranges
17011 r-ggplot2
17012 r-iranges
17013 r-mvtnorm
17014 r-reshape2
17015 r-rsamtools
17016 r-s4vectors))
17017 (native-inputs (list r-knitr))
17018 (home-page "https://github.com/ataudt/chromstaR")
17019 (synopsis "Chromatin state analysis for ChIP-Seq data")
17020 (description
17021 "This package implements functions for combinatorial and differential
17022 analysis of ChIP-seq data. It includes uni- and multivariate peak-calling,
17023 export to genome browser viewable files, and functions for enrichment
17024 analyses.")
17025 (license license:artistic2.0)))
17026
17027 (define-public r-guitar
17028 (package
17029 (name "r-guitar")
17030 (version "2.12.0")
17031 (source
17032 (origin
17033 (method url-fetch)
17034 (uri (bioconductor-uri "Guitar" version))
17035 (sha256
17036 (base32
17037 "09grsasnnk7rmlzjh4lhas9r5spzcsrvmdqj6fx1dk22sckcqahh"))))
17038 (properties `((upstream-name . "Guitar")))
17039 (build-system r-build-system)
17040 (propagated-inputs
17041 (list r-annotationdbi
17042 r-dplyr
17043 r-genomicfeatures
17044 r-genomicranges
17045 r-ggplot2
17046 r-knitr
17047 r-magrittr
17048 r-rtracklayer))
17049 (native-inputs
17050 (list r-knitr))
17051 (home-page "https://bioconductor.org/packages/Guitar")
17052 (synopsis "Visualize genomic features")
17053 (description
17054 "This package is designed for visualization of RNA-related genomic
17055 features with respect to the landmarks of RNA transcripts, i.e., transcription
17056 starting site, start codon, stop codon and transcription ending site.")
17057 (license license:gpl2)))
17058
17059 (define-public r-sushi
17060 (package
17061 (name "r-sushi")
17062 (version "1.34.0")
17063 (source (origin
17064 (method url-fetch)
17065 (uri (bioconductor-uri "Sushi" version))
17066 (sha256
17067 (base32
17068 "0adswrbzd93rhy3q56ypwkrk6155vd4zxapvznswyjlxp8ha813q"))))
17069 (properties `((upstream-name . "Sushi")))
17070 (build-system r-build-system)
17071 (propagated-inputs
17072 (list r-biomart r-zoo))
17073 (home-page "https://bioconductor.org/packages/Sushi")
17074 (synopsis "Tools for visualizing genomics data")
17075 (description
17076 "This package provides flexible, quantitative, and integrative genomic
17077 visualizations for publication-quality multi-panel figures.")
17078 (license license:gpl2+)))
17079
17080 (define-public r-ballgown
17081 (package
17082 (name "r-ballgown")
17083 (version "2.28.0")
17084 (source
17085 (origin
17086 (method url-fetch)
17087 (uri (bioconductor-uri "ballgown" version))
17088 (sha256
17089 (base32
17090 "0l8q3fymskxmsi5jcikzjz5xi66lpzgv7bjymir4izah2v68z708"))))
17091 (properties `((upstream-name . "ballgown")))
17092 (build-system r-build-system)
17093 (propagated-inputs
17094 (list r-biobase
17095 r-genomeinfodb
17096 r-genomicranges
17097 r-iranges
17098 r-limma
17099 r-rcolorbrewer
17100 r-rtracklayer
17101 r-s4vectors
17102 r-sva))
17103 (native-inputs
17104 (list r-knitr))
17105 (home-page "https://bioconductor.org/packages/ballgown")
17106 (synopsis "Flexible, isoform-level differential expression analysis")
17107 (description
17108 "This package provides tools for statistical analysis of assembled
17109 transcriptomes, including flexible differential expression analysis,
17110 visualization of transcript structures, and matching of assembled transcripts
17111 to annotation.")
17112 (license license:artistic2.0)))
17113
17114 (define-public r-megadepth
17115 (package
17116 (name "r-megadepth")
17117 (version "1.6.0")
17118 (source
17119 (origin
17120 (method url-fetch)
17121 (uri (bioconductor-uri "megadepth" version))
17122 (sha256
17123 (base32
17124 "0qq82dmd3drr2bhn51bgbc6ml40klfmmhj6wdj72n9ya6n60lwy8"))))
17125 (properties `((upstream-name . "megadepth")))
17126 (build-system r-build-system)
17127 (inputs (list megadepth))
17128 (propagated-inputs
17129 (list r-cmdfun
17130 r-dplyr
17131 r-fs
17132 r-genomicranges
17133 r-magrittr
17134 r-readr
17135 r-xfun))
17136 (native-inputs
17137 (list r-knitr))
17138 (home-page "https://github.com/LieberInstitute/megadepth")
17139 (synopsis "BigWig and BAM related utilities")
17140 (description
17141 "This package provides an R interface to Megadepth. It is particularly
17142 useful for computing the coverage of a set of genomic regions across bigWig or
17143 BAM files. With this package, you can build base-pair coverage matrices for
17144 regions or annotations of your choice from BigWig files.")
17145 (license license:artistic2.0)))
17146
17147 (define-public r-beclear
17148 (package
17149 (name "r-beclear")
17150 (version "2.12.0")
17151 (source
17152 (origin
17153 (method url-fetch)
17154 (uri (bioconductor-uri "BEclear" version))
17155 (sha256
17156 (base32
17157 "0x43yfnmb2d782g3g52nqdfs90i3zrrlqz8qy3ybmgv5f8n92p15"))))
17158 (properties `((upstream-name . "BEclear")))
17159 (build-system r-build-system)
17160 (propagated-inputs
17161 (list r-abind
17162 r-biocparallel
17163 r-data-table
17164 r-dixontest
17165 r-futile-logger
17166 r-matrix
17167 r-rcpp
17168 r-rdpack))
17169 (native-inputs
17170 (list r-knitr))
17171 (home-page "https://github.com/uds-helms/BEclear")
17172 (synopsis "Correction of batch effects in DNA methylation data")
17173 (description
17174 "This package provides functions to detect and correct for batch effects
17175 in DNA methylation data. The core function is based on latent factor models
17176 and can also be used to predict missing values in any other matrix containing
17177 real numbers.")
17178 (license license:gpl3)))
17179
17180 (define-public r-bgeecall
17181 (package
17182 (name "r-bgeecall")
17183 (version "1.12.2")
17184 (source
17185 (origin
17186 (method url-fetch)
17187 (uri (bioconductor-uri "BgeeCall" version))
17188 (sha256
17189 (base32
17190 "0l6smwy55mm4clb71l4bpch3bayyyf87nq1asbrv6s6fd22mmwil"))))
17191 (properties `((upstream-name . "BgeeCall")))
17192 (build-system r-build-system)
17193 (propagated-inputs
17194 (list kallisto
17195 r-biomart
17196 r-biostrings
17197 r-data-table
17198 r-dplyr
17199 r-genomicfeatures
17200 r-jsonlite
17201 r-rhdf5
17202 r-rslurm
17203 r-rtracklayer
17204 r-sjmisc
17205 r-tximport))
17206 (native-inputs (list r-knitr))
17207 (home-page "https://github.com/BgeeDB/BgeeCall")
17208 (synopsis "RNA-Seq present/absent gene expression calls generation")
17209 (description
17210 "BgeeCall allows generating present/absent gene expression calls without
17211 using an arbitrary cutoff like TPM<1. Calls are generated based on reference
17212 intergenic sequences. These sequences are generated based on expression of
17213 all RNA-Seq libraries of each species integrated in Bgee.")
17214 (license license:gpl3)))
17215
17216 (define-public r-bgeedb
17217 (package
17218 (name "r-bgeedb")
17219 (version "2.22.3")
17220 (source
17221 (origin
17222 (method url-fetch)
17223 (uri (bioconductor-uri "BgeeDB" version))
17224 (sha256
17225 (base32
17226 "1f6lrazaibbz21sqvj59rq6ps9m1riw2y0kyidbn29mxf4ibwh3k"))))
17227 (properties `((upstream-name . "BgeeDB")))
17228 (build-system r-build-system)
17229 (propagated-inputs
17230 (list r-biobase
17231 r-curl
17232 r-data-table
17233 r-digest
17234 r-dplyr
17235 r-graph
17236 r-r-utils
17237 r-rcurl
17238 r-rsqlite
17239 r-tidyr
17240 r-topgo))
17241 (native-inputs (list r-knitr))
17242 (home-page "https://github.com/BgeeDB/BgeeDB_R")
17243 (synopsis "Annotation and gene expression data retrieval from Bgee database")
17244 (description
17245 "This package provides a package for the annotation and gene expression
17246 data download from Bgee database, and TopAnat analysis: GO-like enrichment of
17247 anatomical terms, mapped to genes by expression patterns.")
17248 (license license:gpl3)))
17249
17250 (define-public r-biobtreer
17251 (package
17252 (name "r-biobtreer")
17253 (version "1.8.0")
17254 (source
17255 (origin
17256 (method url-fetch)
17257 (uri (bioconductor-uri "biobtreeR" version))
17258 (sha256
17259 (base32
17260 "0cx46hdqqm6mbj0vp4y86axv0qccd4sgk2jwwjvnqp5pynq9bbqa"))))
17261 (properties `((upstream-name . "biobtreeR")))
17262 (build-system r-build-system)
17263 (propagated-inputs
17264 (list r-httpuv r-httr r-jsonlite r-stringi))
17265 (native-inputs (list r-knitr))
17266 (home-page "https://github.com/tamerh/biobtreeR")
17267 (synopsis "Use biobtree tool from R")
17268 (description
17269 "The biobtreeR package provides an interface to biobtree, a tool which
17270 covers large sets of bioinformatics datasets and allows search and chain
17271 mappings functionalities.")
17272 (license license:expat)))
17273
17274 (define-public r-minet
17275 (package
17276 (name "r-minet")
17277 (version "3.54.0")
17278 (source
17279 (origin
17280 (method url-fetch)
17281 (uri (bioconductor-uri "minet" version))
17282 (sha256
17283 (base32
17284 "0q6jw2jqkl9qynjpzaygz45c7dmx1l5y2d8s1illpcf87siawcam"))))
17285 (properties `((upstream-name . "minet")))
17286 (build-system r-build-system)
17287 (propagated-inputs
17288 (list r-infotheo))
17289 (home-page "http://minet.meyerp.com")
17290 (synopsis "Mutual information networks")
17291 (description
17292 "This package implements various algorithms for inferring mutual
17293 information networks from data.")
17294 (license license:artistic2.0)))
17295
17296 (define-public r-genetclassifier
17297 (package
17298 (name "r-genetclassifier")
17299 (version "1.36.0")
17300 (source
17301 (origin
17302 (method url-fetch)
17303 (uri (bioconductor-uri "geNetClassifier" version))
17304 (sha256
17305 (base32
17306 "1kh7mp5h0n7yd1klcd7w4v7i3fh9pkmvgf7189wangfzbcsr4f70"))))
17307 (properties
17308 `((upstream-name . "geNetClassifier")))
17309 (build-system r-build-system)
17310 (propagated-inputs
17311 (list r-biobase r-e1071 r-ebarrays r-minet))
17312 (home-page "https://www.cicancer.org")
17313 (synopsis "Classify diseases and build gene networks using expression profiles")
17314 (description
17315 "This is a comprehensive package to automatically train and validate a
17316 multi-class SVM classifier based on gene expression data. It provides
17317 transparent selection of gene markers, their coexpression networks, and an
17318 interface to query the classifier.")
17319 (license license:gpl2+)))
17320
17321 (define-public r-dir-expiry
17322 (package
17323 (name "r-dir-expiry")
17324 (version "1.4.0")
17325 (source
17326 (origin
17327 (method url-fetch)
17328 (uri (bioconductor-uri "dir.expiry" version))
17329 (sha256
17330 (base32
17331 "098wzm8hlpy70c99k2sl4k8z2dllhw7rwdj8dhcskr7kaw71k3sq"))))
17332 (properties `((upstream-name . "dir.expiry")))
17333 (build-system r-build-system)
17334 (propagated-inputs (list r-filelock))
17335 (native-inputs (list r-knitr))
17336 (home-page "https://bioconductor.org/packages/dir.expiry")
17337 (synopsis "Managing expiration for cache directories")
17338 (description
17339 "This package implements an expiration system for access to versioned
17340 directories. Directories that have not been accessed by a registered function
17341 within a certain time frame are deleted. This aims to reduce disk usage by
17342 eliminating obsolete caches generated by old versions of packages.")
17343 (license license:gpl3)))
17344
17345 (define-public r-basilisk-utils
17346 (package
17347 (name "r-basilisk-utils")
17348 (version "1.8.0")
17349 (source
17350 (origin
17351 (method url-fetch)
17352 (uri (bioconductor-uri "basilisk.utils" version))
17353 (sha256
17354 (base32
17355 "1jnqv0rlljkq27rd4ixl763v335f2aanm4fzr386yc81fj4vnmhk"))))
17356 (properties
17357 `((upstream-name . "basilisk.utils")))
17358 (build-system r-build-system)
17359 (propagated-inputs
17360 (list r-dir-expiry))
17361 (native-inputs (list r-knitr))
17362 (home-page "https://bioconductor.org/packages/basilisk.utils")
17363 (synopsis "Basilisk installation utilities")
17364 (description
17365 "This package implements utilities for installation of the basilisk
17366 package, primarily for creation of the underlying Conda instance.")
17367 (license license:gpl3)))
17368
17369 (define-public r-basilisk
17370 (package
17371 (name "r-basilisk")
17372 (version "1.8.1")
17373 (source
17374 (origin
17375 (method url-fetch)
17376 (uri (bioconductor-uri "basilisk" version))
17377 (sha256
17378 (base32
17379 "134xix2iq5l7783dng2jjklxd3m5lh4snb7bjhslrs2r1j3p8jpk"))))
17380 (properties `((upstream-name . "basilisk")))
17381 (build-system r-build-system)
17382 (propagated-inputs
17383 (list r-basilisk-utils r-dir-expiry r-reticulate))
17384 (native-inputs (list r-knitr))
17385 (home-page "https://bioconductor.org/packages/basilisk")
17386 (synopsis "Freeze Python dependencies inside Bioconductor packages")
17387 (description
17388 "This package installs a self-contained Conda instance that is managed by
17389 the R/Bioconductor installation machinery. This aims to provide a consistent
17390 Python environment that can be used reliably by Bioconductor packages.
17391 Functions are also provided to enable smooth interoperability of multiple
17392 Python environments in a single R session.")
17393 (license license:gpl3)))
17394
17395 (define-public r-biocthis
17396 (package
17397 (name "r-biocthis")
17398 (version "1.6.0")
17399 (source
17400 (origin
17401 (method url-fetch)
17402 (uri (bioconductor-uri "biocthis" version))
17403 (sha256
17404 (base32
17405 "1hdgjp00d2si3mr7m1d289i9wn7g927z6n8n27d5sm94lb91qln0"))))
17406 (properties `((upstream-name . "biocthis")))
17407 (build-system r-build-system)
17408 (arguments
17409 `(#:phases
17410 (modify-phases %standard-phases
17411 (add-after 'unpack 'set-HOME
17412 (lambda _ (setenv "HOME" "/tmp"))))))
17413 (propagated-inputs
17414 (list r-biocmanager
17415 r-fs
17416 r-glue
17417 r-rlang
17418 r-styler
17419 r-usethis))
17420 (native-inputs (list r-knitr))
17421 (home-page "https://github.com/lcolladotor/biocthis")
17422 (synopsis "Automate package and project setup for Bioconductor packages")
17423 (description
17424 "This package expands the @code{usethis} package with the goal of helping
17425 automate the process of creating R packages for Bioconductor or making them
17426 Bioconductor-friendly.")
17427 (license license:artistic2.0)))
17428
17429 (define-public r-biocdockermanager
17430 (package
17431 (name "r-biocdockermanager")
17432 (version "1.8.1")
17433 (source
17434 (origin
17435 (method url-fetch)
17436 (uri (bioconductor-uri "BiocDockerManager" version))
17437 (sha256
17438 (base32
17439 "0a4dcga18bw5mvzmsml28bf4zclz32pp9iflnbvps7pdxvhmmg9d"))))
17440 (properties
17441 `((upstream-name . "BiocDockerManager")))
17442 (build-system r-build-system)
17443 (propagated-inputs
17444 (list docker
17445 r-dplyr
17446 r-httr
17447 r-memoise
17448 r-readr
17449 r-whisker))
17450 (native-inputs (list r-knitr))
17451 (home-page "https://bioconductor.org/packages/BiocDockerManager")
17452 (synopsis "Access and manage Bioconductor Docker images")
17453 (description
17454 "This package works analogous to BiocManager but for Docker images. Use
17455 the BiocDockerManager package to install and manage Docker images provided by
17456 the Bioconductor project.")
17457 (license license:artistic2.0)))
17458
17459 (define-public r-biodb
17460 (package
17461 (name "r-biodb")
17462 (version "1.4.2")
17463 (source
17464 (origin
17465 (method url-fetch)
17466 (uri (bioconductor-uri "biodb" version))
17467 (sha256
17468 (base32
17469 "0f3clqmrpaawhjjyb4x5mnbhsam56r0av05b5cl5p4waylp8qbs1"))))
17470 (properties `((upstream-name . "biodb")))
17471 (build-system r-build-system)
17472 (propagated-inputs
17473 (list r-biocfilecache
17474 r-chk
17475 r-jsonlite
17476 r-lgr
17477 r-lifecycle
17478 r-openssl
17479 r-plyr
17480 r-progress
17481 r-r6
17482 r-rappdirs
17483 r-rcpp
17484 r-rcurl
17485 r-rsqlite
17486 r-stringr
17487 r-testthat
17488 r-withr
17489 r-xml
17490 r-yaml))
17491 (native-inputs (list r-knitr))
17492 (home-page "https://bioconductor.org/packages/biodb")
17493 (synopsis "Library for connecting to chemical and biological databases")
17494 (description
17495 "The biodb package provides access to standard remote chemical and
17496 biological databases (ChEBI, KEGG, HMDB, ...), as well as to in-house local
17497 database files (CSV, SQLite), with easy retrieval of entries, access to web
17498 services, search of compounds by mass and/or name, and mass spectra matching
17499 for LCMS and MSMS. Its architecture as a development framework facilitates
17500 the development of new database connectors for local projects or inside
17501 separate published packages.")
17502 (license license:agpl3+)))
17503
17504 (define-public r-biomformat
17505 (package
17506 (name "r-biomformat")
17507 (version "1.24.0")
17508 (source
17509 (origin
17510 (method url-fetch)
17511 (uri (bioconductor-uri "biomformat" version))
17512 (sha256
17513 (base32
17514 "12wqjipxhngmlnrdmx329dqmkmy2wa4nkkrhwaqv2nwy90dncs9n"))))
17515 (properties `((upstream-name . "biomformat")))
17516 (build-system r-build-system)
17517 (propagated-inputs
17518 (list r-jsonlite r-matrix r-plyr r-rhdf5))
17519 (native-inputs (list r-knitr))
17520 (home-page "https://github.com/joey711/biomformat/")
17521 (synopsis "Interface package for the BIOM file format")
17522 (description
17523 "This is an R package for interfacing with the BIOM format. This package
17524 includes basic tools for reading biom-format files, accessing and subsetting
17525 data tables from a biom object (which is more complex than a single table), as
17526 well as limited support for writing a biom-object back to a biom-format file.
17527 The design of this API is intended to match the Python API and other tools
17528 included with the biom-format project, but with a decidedly \"R flavor\" that
17529 should be familiar to R users. This includes S4 classes and methods, as well
17530 as extensions of common core functions/methods.")
17531 (license license:gpl2)))
17532
17533 (define-public r-mvcclass
17534 (package
17535 (name "r-mvcclass")
17536 (version "1.70.0")
17537 (source
17538 (origin
17539 (method url-fetch)
17540 (uri (bioconductor-uri "MVCClass" version))
17541 (sha256
17542 (base32
17543 "0apcjlq4i2mg8mlfqgvlcsqkiy51whzid3nd0m830jff0ywgh47g"))))
17544 (properties `((upstream-name . "MVCClass")))
17545 (build-system r-build-system)
17546 (home-page "https://bioconductor.org/packages/MVCClass")
17547 (synopsis "Model-View-Controller (MVC) classes")
17548 (description
17549 "This package contains classes used in model-view-controller (MVC)
17550 design.")
17551 (license license:lgpl2.1+)))
17552
17553 (define-public r-biomvcclass
17554 (package
17555 (name "r-biomvcclass")
17556 (version "1.64.0")
17557 (source
17558 (origin
17559 (method url-fetch)
17560 (uri (bioconductor-uri "BioMVCClass" version))
17561 (sha256
17562 (base32
17563 "078pnyygbvbfxziqspfr1nn78w67xyb4qmiwc34czga5psblvfwz"))))
17564 (properties `((upstream-name . "BioMVCClass")))
17565 (build-system r-build-system)
17566 (propagated-inputs
17567 (list r-biobase r-graph r-mvcclass r-rgraphviz))
17568 (home-page "https://bioconductor.org/packages/BioMVCClass")
17569 (synopsis "Model-View-Controller (MVC) classes that use Biobase")
17570 (description
17571 "This package contains classes used in model-view-controller (MVC)
17572 design.")
17573 (license license:lgpl2.1+)))
17574
17575 (define-public r-biomvrcns
17576 (package
17577 (name "r-biomvrcns")
17578 (version "1.36.0")
17579 (source
17580 (origin
17581 (method url-fetch)
17582 (uri (bioconductor-uri "biomvRCNS" version))
17583 (sha256
17584 (base32
17585 "0i576g7pkivqaxff1pkb760mdpx8v9fh071aic1mwfnlfa7k87ln"))))
17586 (properties `((upstream-name . "biomvRCNS")))
17587 (build-system r-build-system)
17588 (propagated-inputs
17589 (list r-genomicranges r-gviz r-iranges r-mvtnorm))
17590 (home-page "https://bioconductor.org/packages/biomvRCNS")
17591 (synopsis "Copy number study and segmentation for multivariate biological data")
17592 (description
17593 "In this package, a @dfn{Hidden Semi Markov Model} (HSMM) and one
17594 homogeneous segmentation model are designed and implemented for segmentation
17595 genomic data, with the aim of assisting in transcripts detection using high
17596 throughput technology like RNA-seq or tiling array, and copy number analysis
17597 using aCGH or sequencing.")
17598 (license license:gpl2+)))
17599
17600 (define-public r-bionero
17601 (package
17602 (name "r-bionero")
17603 (version "1.4.2")
17604 (source
17605 (origin
17606 (method url-fetch)
17607 (uri (bioconductor-uri "BioNERO" version))
17608 (sha256
17609 (base32
17610 "0dsznfnhidbmf52rv8l26f1ms2k9yy4q4c6cf3x8ylc79c1sjrcp"))))
17611 (properties `((upstream-name . "BioNERO")))
17612 (build-system r-build-system)
17613 (propagated-inputs
17614 (list r-biocparallel
17615 r-complexheatmap
17616 r-dynamictreecut
17617 r-genie3
17618 r-ggnetwork
17619 r-ggnewscale
17620 r-ggplot2
17621 r-ggrepel
17622 r-igraph
17623 r-intergraph
17624 r-matrixstats
17625 r-minet
17626 r-netrep
17627 r-networkd3
17628 r-patchwork
17629 r-rcolorbrewer
17630 r-reshape2
17631 r-summarizedexperiment
17632 r-sva
17633 r-wgcna))
17634 (native-inputs
17635 (list r-knitr))
17636 (home-page "https://github.com/almeidasilvaf/BioNERO")
17637 (synopsis "Biological network reconstruction omnibus")
17638 (description
17639 "BioNERO aims to integrate all aspects of biological network inference in
17640 a single package, including data preprocessing, exploratory analyses, network
17641 inference, and analyses for biological interpretations. BioNERO can be used
17642 to infer gene coexpression networks (GCNs) and gene regulatory networks (GRNs)
17643 from gene expression data. Additionally, it can be used to explore
17644 topological properties of protein-protein interaction (PPI) networks. GCN
17645 inference relies on the popular WGCNA algorithm. GRN inference is based on
17646 the \"wisdom of the crowds\" principle, which consists in inferring GRNs with
17647 multiple algorithms (here, CLR, GENIE3 and ARACNE) and calculating the average
17648 rank for each interaction pair. As all steps of network analyses are included
17649 in this package, BioNERO makes users avoid having to learn the syntaxes of
17650 several packages and how to communicate between them. Finally, users can also
17651 identify consensus modules across independent expression sets and calculate
17652 intra and interspecies module preservation statistics between different
17653 networks.")
17654 (license license:gpl3)))
17655
17656 (define-public r-bionet
17657 (package
17658 (name "r-bionet")
17659 (version "1.56.0")
17660 (source
17661 (origin
17662 (method url-fetch)
17663 (uri (bioconductor-uri "BioNet" version))
17664 (sha256
17665 (base32
17666 "0kcw71j4nmdkn373wk21ak6h0v4gycivnfrklb72kk1qcmsy1wrm"))))
17667 (properties `((upstream-name . "BioNet")))
17668 (build-system r-build-system)
17669 (propagated-inputs
17670 (list r-annotationdbi r-biobase r-graph r-igraph r-rbgl))
17671 (home-page "http://bioconductor.org/packages/release/bioc/html/BioNet.html")
17672 (synopsis "Functional analysis of biological networks")
17673 (description
17674 "This package provides functions for the integrated analysis of
17675 protein-protein interaction networks and the detection of functional modules.
17676 Different datasets can be integrated into the network by assigning p-values of
17677 statistical tests to the nodes of the network. E.g. p-values obtained from
17678 the differential expression of the genes from an Affymetrix array are assigned
17679 to the nodes of the network. By fitting a beta-uniform mixture model and
17680 calculating scores from the p-values, overall scores of network regions can be
17681 calculated and an integer linear programming algorithm identifies the maximum
17682 scoring subnetwork.")
17683 (license license:gpl2+)))
17684
17685 (define-public r-bionetstat
17686 (package
17687 (name "r-bionetstat")
17688 (version "1.16.1")
17689 (source
17690 (origin
17691 (method url-fetch)
17692 (uri (bioconductor-uri "BioNetStat" version))
17693 (sha256
17694 (base32
17695 "0zs6pymvxb95sji0rnnzaz3whj7hsvj2kl4n4gzj7w1q0prbfpb2"))))
17696 (properties `((upstream-name . "BioNetStat")))
17697 (build-system r-build-system)
17698 (propagated-inputs
17699 (list r-biocparallel
17700 r-dt
17701 r-ggplot2
17702 r-hmisc
17703 r-igraph
17704 r-knitr
17705 r-markdown
17706 r-pathview
17707 r-pheatmap
17708 r-plyr
17709 r-psych
17710 r-rcolorbrewer
17711 r-rjsonio
17712 r-rmarkdown
17713 r-shiny
17714 r-shinybs
17715 r-whisker
17716 r-yaml))
17717 (native-inputs
17718 (list r-knitr))
17719 (home-page "https://github.com/jardimViniciusC/BioNetStat")
17720 (synopsis "Biological network analysis")
17721 (description
17722 "This package provides a package to perform differential network
17723 analysis, differential node analysis (differential coexpression analysis),
17724 network and metabolic pathways view.")
17725 (license license:gpl3+)))
17726
17727 (define-public r-bioqc
17728 (package
17729 (name "r-bioqc")
17730 (version "1.24.0")
17731 (source
17732 (origin
17733 (method url-fetch)
17734 (uri (bioconductor-uri "BioQC" version))
17735 (sha256
17736 (base32
17737 "0vb2nnzqvyv25pw8qshcmijravswafg0858pkgqjgiv7wsr2mn3m"))))
17738 (properties `((upstream-name . "BioQC")))
17739 (build-system r-build-system)
17740 (propagated-inputs
17741 (list r-biobase r-edger r-rcpp))
17742 (native-inputs
17743 (list r-knitr))
17744 (home-page "https://accio.github.io/BioQC/")
17745 (synopsis "Detect tissue heterogeneity in expression profiles with gene sets")
17746 (description
17747 "BioQC performs quality control of high-throughput expression data based
17748 on tissue gene signatures. It can detect tissue heterogeneity in gene
17749 expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is
17750 optimised for high performance.")
17751 (license license:gpl3+)))
17752
17753 (define-public r-biotip
17754 (package
17755 (name "r-biotip")
17756 (version "1.10.0")
17757 (source
17758 (origin
17759 (method url-fetch)
17760 (uri (bioconductor-uri "BioTIP" version))
17761 (sha256
17762 (base32
17763 "1sihi5zy7mlabh3ix1wvdqz8ibfq1avl8bnxjhvxyzq40zbcklh6"))))
17764 (properties `((upstream-name . "BioTIP")))
17765 (build-system r-build-system)
17766 (propagated-inputs
17767 (list r-cluster
17768 r-genomicranges
17769 r-igraph
17770 r-mass
17771 r-psych
17772 r-scran
17773 r-stringr))
17774 (native-inputs
17775 (list r-knitr))
17776 (home-page "https://github.com/xyang2uchicago/BioTIP")
17777 (synopsis "R package for characterization of biological tipping-point")
17778 (description
17779 "This package adopts tipping-point theory to transcriptome profiles to
17780 help unravel disease regulatory trajectory.")
17781 (license license:gpl2)))
17782
17783 (define-public r-biotmle
17784 (package
17785 (name "r-biotmle")
17786 (version "1.20.0")
17787 (source
17788 (origin
17789 (method url-fetch)
17790 (uri (bioconductor-uri "biotmle" version))
17791 (sha256
17792 (base32
17793 "1frig90krvfdk6nwpmslpj0pvligyzwzfwwci7hzwcmbglk5jj22"))))
17794 (properties `((upstream-name . "biotmle")))
17795 (build-system r-build-system)
17796 (propagated-inputs
17797 (list r-assertthat
17798 r-biocgenerics
17799 r-biocparallel
17800 r-dplyr
17801 r-drtmle
17802 r-ggplot2
17803 r-ggsci
17804 r-limma
17805 r-s4vectors
17806 r-summarizedexperiment
17807 r-superheat
17808 r-tibble))
17809 (native-inputs
17810 (list r-knitr))
17811 (home-page "https://code.nimahejazi.org/biotmle/")
17812 (synopsis "Targeted learning with moderated statistics for biomarker discovery")
17813 (description
17814 "This package provides tools for differential expression biomarker
17815 discovery based on microarray and next-generation sequencing data that
17816 leverage efficient semiparametric estimators of the average treatment effect
17817 for variable importance analysis. Estimation and inference of the (marginal)
17818 average treatment effects of potential biomarkers are computed by targeted
17819 minimum loss-based estimation, with joint, stable inference constructed across
17820 all biomarkers using a generalization of moderated statistics for use with the
17821 estimated efficient influence function. The procedure accommodates the use of
17822 ensemble machine learning for the estimation of nuisance functions.")
17823 (license license:expat)))
17824
17825 (define-public r-bsseq
17826 (package
17827 (name "r-bsseq")
17828 (version "1.32.0")
17829 (source
17830 (origin
17831 (method url-fetch)
17832 (uri (bioconductor-uri "bsseq" version))
17833 (sha256
17834 (base32
17835 "1jpfib2vb6hd7pgh3d33jgch24lba175zmbalwsbgvlmmyyf1ki5"))))
17836 (properties `((upstream-name . "bsseq")))
17837 (build-system r-build-system)
17838 (propagated-inputs
17839 (list r-beachmat
17840 r-biobase
17841 r-biocgenerics
17842 r-biocparallel
17843 r-biostrings
17844 r-bsgenome
17845 r-data-table
17846 r-delayedarray
17847 r-delayedmatrixstats
17848 r-genomeinfodb
17849 r-genomicranges
17850 r-gtools
17851 r-hdf5array
17852 r-iranges
17853 r-limma
17854 r-locfit
17855 r-permute
17856 r-r-utils
17857 r-rcpp
17858 r-rhdf5
17859 r-s4vectors
17860 r-scales
17861 r-summarizedexperiment))
17862 (native-inputs
17863 (list r-knitr))
17864 (home-page "https://github.com/hansenlab/bsseq")
17865 (synopsis "Analyze, manage and store bisulfite sequencing data")
17866 (description
17867 "This package provides a collection of tools for analyzing and
17868 visualizing bisulfite sequencing data.")
17869 (license license:artistic2.0)))
17870
17871 (define-public r-dada2
17872 (package
17873 (name "r-dada2")
17874 (version "1.24.0")
17875 (source (origin
17876 (method url-fetch)
17877 (uri (bioconductor-uri "dada2" version))
17878 (sha256
17879 (base32
17880 "0nvjnmcjh0i660y8s3rh9b3zl163wxdx7qm2n36m6vf0iy987l4x"))))
17881 (properties `((upstream-name . "dada2")))
17882 (build-system r-build-system)
17883 (propagated-inputs
17884 (list r-biocgenerics
17885 r-biostrings
17886 r-ggplot2
17887 r-iranges
17888 r-rcpp
17889 r-rcppparallel
17890 r-reshape2
17891 r-shortread
17892 r-xvector))
17893 (native-inputs (list r-knitr))
17894 (home-page "https://benjjneb.github.io/dada2/")
17895 (synopsis
17896 "Accurate, high-resolution sample inference from amplicon sequencing data")
17897 (description
17898 "The dada2 package infers exact @dfn{amplicon sequence variants} (ASVs)
17899 from high-throughput amplicon sequencing data, replacing the coarser and less
17900 accurate OTU clustering approach. The dada2 pipeline takes as input
17901 demultiplexed fastq files, and outputs the sequence variants and their
17902 sample-wise abundances after removing substitution and chimera errors.
17903 Taxonomic classification is available via a native implementation of the RDP
17904 naive Bayesian classifier, and species-level assignment to 16S rRNA gene
17905 fragments by exact matching.")
17906 (license license:lgpl2.0)))
17907
17908 (define-public r-dmrseq
17909 (package
17910 (name "r-dmrseq")
17911 (version "1.16.0")
17912 (source
17913 (origin
17914 (method url-fetch)
17915 (uri (bioconductor-uri "dmrseq" version))
17916 (sha256
17917 (base32
17918 "1c99l62fi26bnbvpzrlsvvs722za0l5vfhddcrhzzzasabhccb4n"))))
17919 (properties `((upstream-name . "dmrseq")))
17920 (build-system r-build-system)
17921 (propagated-inputs
17922 (list r-annotationhub
17923 r-annotatr
17924 r-biocparallel
17925 r-bsseq
17926 r-bumphunter
17927 r-delayedmatrixstats
17928 r-genomeinfodb
17929 r-genomicranges
17930 r-ggplot2
17931 r-iranges
17932 r-locfit
17933 r-matrixstats
17934 r-nlme
17935 r-outliers
17936 r-rcolorbrewer
17937 r-rtracklayer
17938 r-s4vectors))
17939 (native-inputs
17940 (list r-knitr))
17941 (home-page "https://bioconductor.org/packages/dmrseq")
17942 (synopsis "Detection and inference of differentially methylated regions")
17943 (description
17944 "This package implements an approach for scanning the genome to detect
17945 and perform accurate inference on differentially methylated regions from Whole
17946 Genome Bisulfite Sequencing data. The method is based on comparing detected
17947 regions to a pooled null distribution, that can be implemented even when as
17948 few as two samples per population are available. Region-level statistics are
17949 obtained by fitting a @dfn{generalized least squares} (GLS) regression model
17950 with a nested autoregressive correlated error structure for the effect of
17951 interest on transformed methylation proportions.")
17952 (license license:expat)))
17953
17954 (define-public r-omicade4
17955 (package
17956 (name "r-omicade4")
17957 (version "1.36.0")
17958 (source (origin
17959 (method url-fetch)
17960 (uri (bioconductor-uri "omicade4" version))
17961 (sha256
17962 (base32
17963 "1l7w3sczsimg640klq8navgdcwjj090wjqd40n4mw76pny2xj2lj"))))
17964 (properties `((upstream-name . "omicade4")))
17965 (build-system r-build-system)
17966 (propagated-inputs (list r-ade4 r-biobase r-made4))
17967 (home-page "https://bioconductor.org/packages/omicade4")
17968 (synopsis "Multiple co-inertia analysis of omics datasets")
17969 (description
17970 "This package performes multiple co-inertia analysis of omics datasets.")
17971 (license license:gpl2)))
17972
17973 (define-public r-omnipathr
17974 (package
17975 (name "r-omnipathr")
17976 (version "3.4.0")
17977 (source
17978 (origin
17979 (method url-fetch)
17980 (uri (bioconductor-uri "OmnipathR" version))
17981 (sha256
17982 (base32 "0vk0fv09j3ql78mzzhdxwxb2b83qqdz2qfd8wpp1vydmcx2vvgni"))))
17983 (properties `((upstream-name . "OmnipathR")))
17984 (build-system r-build-system)
17985 (arguments
17986 `(#:phases
17987 (modify-phases %standard-phases
17988 (add-after 'unpack 'set-HOME
17989 (lambda _ (setenv "HOME" "/tmp"))))))
17990 (propagated-inputs
17991 (list r-checkmate
17992 r-crayon
17993 r-curl
17994 r-digest
17995 r-dplyr
17996 r-httr
17997 r-igraph
17998 r-jsonlite
17999 r-later
18000 r-logger
18001 r-magrittr
18002 r-progress
18003 r-purrr
18004 r-rappdirs
18005 r-readr
18006 r-readxl
18007 r-rlang
18008 r-stringr
18009 r-tibble
18010 r-tidyr
18011 r-tidyselect
18012 r-withr
18013 r-xml2
18014 r-yaml))
18015 (native-inputs (list r-knitr))
18016 (home-page "https://saezlab.github.io/OmnipathR/")
18017 (synopsis "OmniPath web service client and more")
18018 (description
18019 "This package provides a client for the OmniPath web service and many
18020 other resources. It also includes functions to transform and pretty print
18021 some of the downloaded data, functions to access a number of other resources.
18022 Furthermore, OmnipathR features a close integration with the NicheNet method
18023 for ligand activity prediction from transcriptomics data.")
18024 (license license:expat)))
18025
18026 (define-public r-biscuiteer
18027 (package
18028 (name "r-biscuiteer")
18029 (version "1.10.0")
18030 (source
18031 (origin
18032 (method url-fetch)
18033 (uri (bioconductor-uri "biscuiteer" version))
18034 (sha256
18035 (base32
18036 "0y7vbdaafiga16yr0d22w1v4p0jmczndcar0r0km06f5y1b74amr"))))
18037 (properties `((upstream-name . "biscuiteer")))
18038 (build-system r-build-system)
18039 (propagated-inputs
18040 (list r-biobase
18041 r-biocgenerics
18042 r-biocparallel
18043 r-biscuiteerdata
18044 r-bsseq
18045 r-data-table
18046 r-delayedmatrixstats
18047 r-dmrseq
18048 r-genomeinfodb
18049 r-genomicranges
18050 r-gtools
18051 r-hdf5array
18052 r-homo-sapiens
18053 r-impute
18054 r-iranges
18055 r-matrix
18056 r-matrixstats
18057 r-mus-musculus
18058 r-qdnaseq
18059 r-qualv
18060 r-r-utils
18061 r-readr
18062 r-rsamtools
18063 r-rtracklayer
18064 r-s4vectors
18065 r-summarizedexperiment
18066 r-variantannotation))
18067 (native-inputs
18068 (list r-knitr))
18069 (home-page "https://github.com/trichelab/biscuiteer")
18070 (synopsis "Convenience functions for the Biscuit package")
18071 (description
18072 "This package provides a test harness for bsseq loading of Biscuit
18073 output, summarization of WGBS data over defined regions and in mappable
18074 samples, with or without imputation, dropping of mostly-NA rows, age
18075 estimates, etc.")
18076 (license license:gpl3)))
18077
18078 (define-public r-tcgabiolinks
18079 (package
18080 (name "r-tcgabiolinks")
18081 (version "2.24.3")
18082 (source
18083 (origin
18084 (method url-fetch)
18085 (uri (bioconductor-uri "TCGAbiolinks" version))
18086 (sha256
18087 (base32 "0visvfhzaf0p1rb5vjkmw1c91zfxpks8nl9nbl9xlnpm8lkmmkms"))))
18088 (properties `((upstream-name . "TCGAbiolinks")))
18089 (build-system r-build-system)
18090 (propagated-inputs
18091 (list r-biomart
18092 r-data-table
18093 r-downloader
18094 r-dplyr
18095 r-genomicranges
18096 r-ggplot2
18097 r-httr
18098 r-iranges
18099 r-jsonlite
18100 r-knitr
18101 r-plyr
18102 r-purrr
18103 r-r-utils
18104 r-readr
18105 r-rvest
18106 r-s4vectors
18107 r-stringr
18108 r-summarizedexperiment
18109 r-tcgabiolinksgui-data
18110 r-tibble
18111 r-tidyr
18112 r-xml
18113 r-xml2))
18114 (native-inputs (list r-knitr))
18115 (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinks")
18116 (synopsis "Integrative analysis with GDC data")
18117 (description
18118 "The aim of TCGAbiolinks is:
18119
18120 @enumerate
18121 @item facilitate GDC open-access data retrieval;
18122 @item prepare the data using the appropriate pre-processing strategies;
18123 @item provide the means to carry out different standard analyses, and;
18124 @item to easily reproduce earlier research results.
18125 @end enumerate
18126
18127 In more detail, the package provides multiple methods for analysis (e.g.,
18128 differential expression analysis, identifying differentially methylated
18129 regions) and methods for visualization (e.g., survival plots, volcano plots,
18130 starburst plots) in order to easily develop complete analysis pipelines.")
18131 (license license:gpl3+)))
18132
18133 (define-public r-tricycle
18134 (package
18135 (name "r-tricycle")
18136 (version "1.4.0")
18137 (source (origin
18138 (method url-fetch)
18139 (uri (bioconductor-uri "tricycle" version))
18140 (sha256
18141 (base32
18142 "0bjkajcz6xcfak6071d0ihakrvgf7s0pmkn6vqkjd6yxbfld7zln"))))
18143 (properties `((upstream-name . "tricycle")))
18144 (build-system r-build-system)
18145 (propagated-inputs
18146 (list r-annotationdbi
18147 r-circular
18148 r-dplyr
18149 r-genomicranges
18150 r-ggnewscale
18151 r-ggplot2
18152 r-iranges
18153 r-rcolorbrewer
18154 r-s4vectors
18155 r-scater
18156 r-scattermore
18157 r-singlecellexperiment
18158 r-summarizedexperiment))
18159 (native-inputs (list r-knitr))
18160 (home-page "https://github.com/hansenlab/tricycle")
18161 (synopsis "Transferable representation and inference of cell cycle")
18162 (description
18163 "The package contains functions to infer and visualize cell cycle process
18164 using Single-cell RNA-Seq data. It exploits the idea of transfer learning,
18165 projecting new data to the previous learned biologically interpretable space.
18166 The @code{tricycle} provides a pre-learned cell cycle space, which could be
18167 used to infer cell cycle time of human and mouse single cell samples. In
18168 addition, it also offer functions to visualize cell cycle time on different
18169 embeddings and functions to build new reference.")
18170 (license license:gpl3)))
18171
18172 (define-public r-tximeta
18173 (package
18174 (name "r-tximeta")
18175 (version "1.14.1")
18176 (source
18177 (origin
18178 (method url-fetch)
18179 (uri (bioconductor-uri "tximeta" version))
18180 (sha256
18181 (base32
18182 "0hxq5lkrdiz0a3xpl88adrv4m55jr6g46a5m9pamc0w4bxddirr8"))))
18183 (properties `((upstream-name . "tximeta")))
18184 (build-system r-build-system)
18185 (propagated-inputs
18186 (list r-annotationdbi
18187 r-annotationhub
18188 r-biocfilecache
18189 r-biostrings
18190 r-ensembldb
18191 r-genomeinfodb
18192 r-genomicfeatures
18193 r-genomicranges
18194 r-iranges
18195 r-jsonlite
18196 r-matrix
18197 r-s4vectors
18198 r-summarizedexperiment
18199 r-tibble
18200 r-tximport))
18201 (native-inputs
18202 (list r-knitr))
18203 (home-page "https://github.com/mikelove/tximeta")
18204 (synopsis "Transcript quantification import with automatic metadata")
18205 (description
18206 "This package implements transcript quantification import from Salmon and
18207 alevin with automatic attachment of transcript ranges and release information,
18208 and other associated metadata. De novo transcriptomes can be linked to the
18209 appropriate sources with linkedTxomes and shared for computational
18210 reproducibility.")
18211 (license license:gpl2)))
18212
18213 (define-public r-phyloseq
18214 (package
18215 (name "r-phyloseq")
18216 (version "1.40.0")
18217 (source
18218 (origin
18219 (method url-fetch)
18220 (uri (bioconductor-uri "phyloseq" version))
18221 (sha256
18222 (base32 "0hcyv4ziyaw74mc9vf7bad3q9izi9p0whg3hspbs6w8b3hp34y2k"))))
18223 (properties `((upstream-name . "phyloseq")))
18224 (build-system r-build-system)
18225 (propagated-inputs
18226 (list r-ade4
18227 r-ape
18228 r-biobase
18229 r-biocgenerics
18230 r-biomformat
18231 r-biostrings
18232 r-cluster
18233 r-data-table
18234 r-foreach
18235 r-ggplot2
18236 r-igraph
18237 r-multtest
18238 r-plyr
18239 r-reshape2
18240 r-scales
18241 r-vegan))
18242 (native-inputs
18243 (list r-knitr))
18244 (home-page "https://github.com/joey711/phyloseq")
18245 (synopsis "Handling and analysis of high-throughput microbiome census data")
18246 (description
18247 "Phyloseq provides a set of classes and tools to facilitate the import,
18248 storage, analysis, and graphical display of microbiome census data.")
18249 (license license:agpl3)))
18250
18251 ;;;
18252 ;;; Avoid adding new packages to the end of this file. To reduce the chances
18253 ;;; of a merge conflict, place them above by existing packages with similar
18254 ;;; functionality or similar names.
18255 ;;;