gnu: Add r-atsnp.
[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 maths)
52 #:use-module (gnu packages netpbm)
53 #:use-module (gnu packages python)
54 #:use-module (gnu packages perl)
55 #:use-module (gnu packages pkg-config)
56 #:use-module (gnu packages statistics)
57 #:use-module (gnu packages web)
58 #:use-module (gnu packages xml)
59 #:use-module (srfi srfi-1))
60
61 \f
62 ;;; Annotations
63
64 (define-public r-org-eck12-eg-db
65 (package
66 (name "r-org-eck12-eg-db")
67 (version "3.12.0")
68 (source
69 (origin
70 (method url-fetch)
71 (uri (bioconductor-uri "org.EcK12.eg.db" version 'annotation))
72 (sha256
73 (base32 "0c4p6jr83k0gm6pvn760yr8xf33wggrfcr6fg7a42a96bcf817gs"))))
74 (properties
75 `((upstream-name . "org.EcK12.eg.db")))
76 (build-system r-build-system)
77 (propagated-inputs
78 (list r-annotationdbi))
79 (home-page "https://bioconductor.org/packages/org.EcK12.eg.db")
80 (synopsis "Genome wide annotation for E coli strain K12")
81 (description
82 "This package provides genome wide annotation for E coli strain K12,
83 primarily based on mapping using Entrez Gene identifiers. Entrez Gene is
84 National Center for Biotechnology Information (NCBI)’s database for
85 gene-specific information. Entrez Gene maintains records from genomes which
86 have been completely sequenced, which have an active research community to
87 submit gene-specific information, or which are scheduled for intense sequence
88 analysis.")
89 (license license:artistic2.0)))
90
91 (define-public r-org-bt-eg-db
92 (package
93 (name "r-org-bt-eg-db")
94 (version "3.13.0")
95 (source
96 (origin
97 (method url-fetch)
98 (uri (bioconductor-uri
99 "org.Bt.eg.db"
100 version
101 'annotation))
102 (sha256
103 (base32
104 "0pwvwyfah8fhvaxdc8zkp3lp1v4mchhzr84r3hb0jx97icdvhafi"))))
105 (properties `((upstream-name . "org.Bt.eg.db")))
106 (build-system r-build-system)
107 (propagated-inputs
108 (list r-annotationdbi))
109 (home-page "https://bioconductor.org/packages/org.Bt.eg.db")
110 (synopsis "Genome wide annotation for Bovine")
111 (description
112 "This package provides genome wide annotations for Bovine, primarily
113 based on mapping using Entrez Gene identifiers.")
114 (license license:artistic2.0)))
115
116 (define-public r-reactome-db
117 (package
118 (name "r-reactome-db")
119 (version "1.70.0")
120 (source
121 (origin
122 (method url-fetch)
123 (uri (bioconductor-uri "reactome.db" version 'annotation))
124 (sha256
125 (base32
126 "05wc4fp0faq6h3kq5rwafnips043as31yq11mrjngfxvf5i10srg"))))
127 (properties `((upstream-name . "reactome.db")))
128 (build-system r-build-system)
129 (propagated-inputs
130 (list r-annotationdbi))
131 (home-page "https://bioconductor.org/packages/reactome.db/")
132 (synopsis "Annotation maps for reactome")
133 (description
134 "This package provides a set of annotation maps for the REACTOME
135 database, assembled using data from REACTOME.")
136 (license license:cc-by4.0)))
137
138 (define-public r-bsgenome-btaurus-ucsc-bostau8
139 (package
140 (name "r-bsgenome-btaurus-ucsc-bostau8")
141 (version "1.4.2")
142 (source (origin
143 (method url-fetch)
144 (uri (bioconductor-uri "BSgenome.Btaurus.UCSC.bosTau8"
145 version 'annotation))
146 (sha256
147 (base32
148 "16wjy1aw9nvx03r7w8yh5w7sw3pn8i9nczd0n0728l6nnyqxlsz6"))))
149 (properties
150 `((upstream-name . "BSgenome.Btaurus.UCSC.bosTau8")))
151 (build-system r-build-system)
152 (propagated-inputs
153 (list r-bsgenome))
154 (home-page
155 "https://www.bioconductor.org/packages/BSgenome.Btaurus.UCSC.bosTau8/")
156 (synopsis "Full genome sequences for Bos taurus (UCSC version bosTau8)")
157 (description "This package provides the full genome sequences for Bos
158 taurus (UCSC version bosTau8).")
159 (license license:artistic2.0)))
160
161 (define-public r-bsgenome-celegans-ucsc-ce6
162 (package
163 (name "r-bsgenome-celegans-ucsc-ce6")
164 (version "1.4.0")
165 (source (origin
166 (method url-fetch)
167 (uri (bioconductor-uri "BSgenome.Celegans.UCSC.ce6"
168 version 'annotation))
169 (sha256
170 (base32
171 "0mqzb353xv2c3m3vkb315dkmnxkgczp7ndnknyhpgjlybyf715v9"))))
172 (properties
173 `((upstream-name . "BSgenome.Celegans.UCSC.ce6")))
174 (build-system r-build-system)
175 (propagated-inputs
176 (list r-bsgenome))
177 (home-page
178 "https://www.bioconductor.org/packages/BSgenome.Celegans.UCSC.ce6/")
179 (synopsis "Full genome sequences for Worm")
180 (description
181 "This package provides full genome sequences for Caenorhabditis
182 elegans (Worm) as provided by UCSC (ce6, May 2008) and stored in Biostrings
183 objects.")
184 (license license:artistic2.0)))
185
186 (define-public r-bsgenome-celegans-ucsc-ce10
187 (package
188 (name "r-bsgenome-celegans-ucsc-ce10")
189 (version "1.4.0")
190 (source (origin
191 (method url-fetch)
192 (uri (bioconductor-uri "BSgenome.Celegans.UCSC.ce10"
193 version 'annotation))
194 (sha256
195 (base32
196 "1zaym97jk4npxk14ifvwz2rvhm4zx9xgs33r9vvx9rlynp0gydrk"))))
197 (properties
198 `((upstream-name . "BSgenome.Celegans.UCSC.ce10")))
199 (build-system r-build-system)
200 (propagated-inputs
201 (list r-bsgenome))
202 (home-page
203 "https://www.bioconductor.org/packages/BSgenome.Celegans.UCSC.ce10/")
204 (synopsis "Full genome sequences for Worm")
205 (description
206 "This package provides full genome sequences for Caenorhabditis
207 elegans (Worm) as provided by UCSC (ce10, Oct 2010) and stored in Biostrings
208 objects.")
209 (license license:artistic2.0)))
210
211 (define-public r-bsgenome-dmelanogaster-ucsc-dm6
212 (package
213 (name "r-bsgenome-dmelanogaster-ucsc-dm6")
214 (version "1.4.1")
215 (source (origin
216 (method url-fetch)
217 (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm6"
218 version 'annotation))
219 (sha256
220 (base32
221 "1bhj0rdgf7lspw4xby9y9mf7v7jxxz8001bc8vw8kf04rjsx6060"))))
222 (properties
223 `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm6")))
224 (build-system r-build-system)
225 (propagated-inputs
226 (list r-bsgenome))
227 (home-page
228 "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm6/")
229 (synopsis "Full genome sequences for Fly")
230 (description
231 "This package provides full genome sequences for Drosophila
232 melanogaster (Fly) as provided by UCSC (dm6) and stored in Biostrings
233 objects.")
234 (license license:artistic2.0)))
235
236 (define-public r-bsgenome-dmelanogaster-ucsc-dm3
237 (package
238 (name "r-bsgenome-dmelanogaster-ucsc-dm3")
239 (version "1.4.0")
240 (source (origin
241 (method url-fetch)
242 (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm3"
243 version 'annotation))
244 (sha256
245 (base32
246 "19bm3lkhhkag3gnwp419211fh0cnr0x6fa0r1lr0ycwrikxdxsv8"))))
247 (properties
248 `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm3")))
249 (build-system r-build-system)
250 (propagated-inputs
251 (list r-bsgenome))
252 (home-page
253 "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm3/")
254 (synopsis "Full genome sequences for Fly")
255 (description
256 "This package provides full genome sequences for Drosophila
257 melanogaster (Fly) as provided by UCSC (dm3, April 2006) and stored in
258 Biostrings objects.")
259 (license license:artistic2.0)))
260
261 (define-public r-bsgenome-dmelanogaster-ucsc-dm3-masked
262 (package
263 (name "r-bsgenome-dmelanogaster-ucsc-dm3-masked")
264 (version "1.3.99")
265 (source (origin
266 (method url-fetch)
267 (uri (bioconductor-uri "BSgenome.Dmelanogaster.UCSC.dm3.masked"
268 version 'annotation))
269 (sha256
270 (base32
271 "1756csb09f1br9rj1l3f08qyh4hlymdbd0cfn8x3fq39dn45m5ap"))))
272 (properties
273 `((upstream-name . "BSgenome.Dmelanogaster.UCSC.dm3.masked")))
274 (build-system r-build-system)
275 (propagated-inputs
276 (list r-bsgenome r-bsgenome-dmelanogaster-ucsc-dm3))
277 (home-page "https://www.bioconductor.org/packages/BSgenome.Dmelanogaster.UCSC.dm3.masked/")
278 (synopsis "Full masked genome sequences for Fly")
279 (description
280 "This package provides full masked genome sequences for Drosophila
281 melanogaster (Fly) as provided by UCSC (dm3, April 2006) and stored in
282 Biostrings objects. The sequences are the same as in
283 BSgenome.Dmelanogaster.UCSC.dm3, except that each of them has the 4 following
284 masks on top: (1) the mask of assembly gaps (AGAPS mask), (2) the mask of
285 intra-contig ambiguities (AMB mask), (3) the mask of repeats from
286 RepeatMasker (RM mask), and (4) the mask of repeats from Tandem Repeats
287 Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by default.")
288 (license license:artistic2.0)))
289
290 (define-public r-bsgenome-drerio-ucsc-danrer11
291 (package
292 (name "r-bsgenome-drerio-ucsc-danrer11")
293 (version "1.4.2")
294 (source
295 (origin
296 (method url-fetch)
297 (uri (bioconductor-uri "BSgenome.Drerio.UCSC.danRer11"
298 version 'annotation))
299 (sha256
300 (base32 "08a928mqzv2jxngjcs4yr6ni1b9z9al6jdngwi438j8hm41cwk4v"))))
301 (properties `((upstream-name . "BSgenome.Drerio.UCSC.danRer11")))
302 (build-system r-build-system)
303 (propagated-inputs
304 (list r-bsgenome))
305 (home-page "https://bioconductor.org/packages/BSgenome.Drerio.UCSC.danRer11")
306 (synopsis "Full genome sequences for Danio rerio (UCSC version danRer11)")
307 (description
308 "This package provides full genome sequences for Danio rerio (Zebrafish)
309 as provided by UCSC (danRer11, May 2017) and stored in Biostrings objects.")
310 (license license:artistic2.0)))
311
312 (define-public r-bsgenome-hsapiens-1000genomes-hs37d5
313 (package
314 (name "r-bsgenome-hsapiens-1000genomes-hs37d5")
315 (version "0.99.1")
316 (source (origin
317 (method url-fetch)
318 (uri (bioconductor-uri "BSgenome.Hsapiens.1000genomes.hs37d5"
319 version 'annotation))
320 (sha256
321 (base32
322 "1cg0g5fqmsvwyw2p9hp2yy4ilk21jkbbrnpgqvb5c36ihjwvc7sr"))))
323 (properties
324 `((upstream-name . "BSgenome.Hsapiens.1000genomes.hs37d5")))
325 (build-system r-build-system)
326 (propagated-inputs
327 (list r-bsgenome))
328 (home-page
329 "https://www.bioconductor.org/packages/BSgenome.Hsapiens.1000genomes.hs37d5/")
330 (synopsis "Full genome sequences for Homo sapiens")
331 (description
332 "This package provides full genome sequences for Homo sapiens from
333 1000genomes phase2 reference genome sequence (hs37d5), based on NCBI GRCh37.")
334 (license license:artistic2.0)))
335
336 (define-public r-bsgenome-hsapiens-ncbi-grch38
337 (package
338 (name "r-bsgenome-hsapiens-ncbi-grch38")
339 (version "1.3.1000")
340 (source
341 (origin
342 (method url-fetch)
343 (uri (bioconductor-uri "BSgenome.Hsapiens.NCBI.GRCh38"
344 version 'annotation))
345 (sha256
346 (base32
347 "0y75qdq578fh6420vbvsbwmdw8jvr3g06qli2h3vj3pxmjykh9c1"))))
348 (properties `((upstream-name . "BSgenome.Hsapiens.NCBI.GRCh38")))
349 (build-system r-build-system)
350 (propagated-inputs (list r-bsgenome))
351 (home-page
352 "https://bioconductor.org/packages/release/data/annotation/html/\
353 BSgenome.Hsapiens.NCBI.GRCh38.html")
354 (synopsis "Full genome sequences for Homo sapiens (GRCh38)")
355 (description
356 "This package provides full genome sequences for Homo sapiens (Human) as
357 provided by NCBI (GRCh38, 2013-12-17) and stored in Biostrings objects.")
358 (license license:artistic2.0)))
359
360 (define-public r-bsgenome-hsapiens-ucsc-hg19-masked
361 (package
362 (name "r-bsgenome-hsapiens-ucsc-hg19-masked")
363 (version "1.3.993")
364 (source
365 (origin
366 (method url-fetch)
367 (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg19.masked"
368 version 'annotation))
369 (sha256
370 (base32 "19533ihgad67bzhavycv6z708012ylz9cw1qdfmk2b7ikf3kiaz9"))))
371 (properties
372 `((upstream-name . "BSgenome.Hsapiens.UCSC.hg19.masked")))
373 (build-system r-build-system)
374 (propagated-inputs
375 (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19))
376 (home-page "https://bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg19.masked/")
377 (synopsis "Full masked genome sequences for Homo sapiens")
378 (description
379 "This package provides full genome sequences for Homo sapiens (Human) as
380 provided by UCSC (hg19, Feb. 2009) and stored in Biostrings objects. The
381 sequences are the same as in BSgenome.Hsapiens.UCSC.hg19, except that each of
382 them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS
383 mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of
384 repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem
385 Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by
386 default.")
387 (license license:artistic2.0)))
388
389 (define-public r-bsgenome-mmusculus-ucsc-mm9
390 (package
391 (name "r-bsgenome-mmusculus-ucsc-mm9")
392 (version "1.4.0")
393 (source (origin
394 (method url-fetch)
395 (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm9"
396 version 'annotation))
397 (sha256
398 (base32
399 "1birqw30g2azimxpnjfzmkphan7x131yy8b9h85lfz5fjdg7841i"))))
400 (properties
401 `((upstream-name . "BSgenome.Mmusculus.UCSC.mm9")))
402 (build-system r-build-system)
403 (propagated-inputs
404 (list r-bsgenome))
405 (home-page
406 "https://www.bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm9/")
407 (synopsis "Full genome sequences for Mouse")
408 (description
409 "This package provides full genome sequences for Mus musculus (Mouse) as
410 provided by UCSC (mm9, July 2007) and stored in Biostrings objects.")
411 (license license:artistic2.0)))
412
413 (define-public r-bsgenome-mmusculus-ucsc-mm9-masked
414 (package
415 (name "r-bsgenome-mmusculus-ucsc-mm9-masked")
416 (version "1.3.99")
417 (source (origin
418 (method url-fetch)
419 (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm9.masked"
420 version 'annotation))
421 (sha256
422 (base32
423 "00bpbm3havqcxr4g63zhllsbpd9q6svgihks7qp7x73nm4gvq7fn"))))
424 (properties
425 `((upstream-name . "BSgenome.Mmusculus.UCSC.mm9.masked")))
426 (build-system r-build-system)
427 (propagated-inputs
428 (list r-bsgenome r-bsgenome-mmusculus-ucsc-mm9))
429 (home-page "https://bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm9.masked/")
430 (synopsis "Full masked genome sequences for Mouse")
431 (description
432 "This package provides full genome sequences for Mus musculus (Mouse) as
433 provided by UCSC (mm9, Jul. 2007) and stored in Biostrings objects. The
434 sequences are the same as in BSgenome.Mmusculus.UCSC.mm9, except that each of
435 them has the 4 following masks on top: (1) the mask of assembly gaps (AGAPS
436 mask), (2) the mask of intra-contig ambiguities (AMB mask), (3) the mask of
437 repeats from RepeatMasker (RM mask), and (4) the mask of repeats from Tandem
438 Repeats Finder (TRF mask). Only the AGAPS and AMB masks are \"active\" by
439 default." )
440 (license license:artistic2.0)))
441
442 (define-public r-bsgenome-mmusculus-ucsc-mm10
443 (package
444 (name "r-bsgenome-mmusculus-ucsc-mm10")
445 (version "1.4.0")
446 (source (origin
447 (method url-fetch)
448 (uri (bioconductor-uri "BSgenome.Mmusculus.UCSC.mm10"
449 version 'annotation))
450 (sha256
451 (base32
452 "12s0nm2na9brjad4rn9l7d3db2aj8qa1xvz0y1k7gk08wayb6bkf"))))
453 (properties
454 `((upstream-name . "BSgenome.Mmusculus.UCSC.mm10")))
455 (build-system r-build-system)
456 (propagated-inputs
457 (list r-bsgenome))
458 (home-page
459 "https://www.bioconductor.org/packages/BSgenome.Mmusculus.UCSC.mm10/")
460 (synopsis "Full genome sequences for Mouse")
461 (description
462 "This package provides full genome sequences for Mus
463 musculus (Mouse) as provided by UCSC (mm10, December 2011) and stored
464 in Biostrings objects.")
465 (license license:artistic2.0)))
466
467 (define-public r-genomeinfodbdata
468 (package
469 (name "r-genomeinfodbdata")
470 (version "1.2.0")
471 (source (origin
472 (method url-fetch)
473 (uri (bioconductor-uri "GenomeInfoDbData" version 'annotation))
474 (sha256
475 (base32
476 "0di6nlqpsyqf693k2na65ayqldih563x3zfrczpqc5q2hl5kg35c"))))
477 (properties
478 `((upstream-name . "GenomeInfoDbData")))
479 (build-system r-build-system)
480 (home-page "https://bioconductor.org/packages/GenomeInfoDbData")
481 (synopsis "Species and taxonomy ID look up tables for GenomeInfoDb")
482 (description "This package contains data for mapping between NCBI taxonomy
483 ID and species. It is used by functions in the GenomeInfoDb package.")
484 (license license:artistic2.0)))
485
486 (define-public r-go-db
487 (package
488 (name "r-go-db")
489 (version "3.7.0")
490 (source (origin
491 (method url-fetch)
492 (uri (bioconductor-uri "GO.db" version 'annotation))
493 (sha256
494 (base32
495 "0i3wcf5h3n0dawzc1hy0kv74f06j80c47n4p3g3fmrcxlhi3jpa5"))))
496 (properties
497 `((upstream-name . "GO.db")))
498 (build-system r-build-system)
499 (propagated-inputs
500 (list r-annotationdbi))
501 (home-page "https://bioconductor.org/packages/GO.db")
502 (synopsis "Annotation maps describing the entire Gene Ontology")
503 (description
504 "The purpose of this GO.db annotation package is to provide detailed
505 information about the latest version of the Gene Ontologies.")
506 (license license:artistic2.0)))
507
508 (define-public r-homo-sapiens
509 (package
510 (name "r-homo-sapiens")
511 (version "1.3.1")
512 (source (origin
513 (method url-fetch)
514 (uri (bioconductor-uri "Homo.sapiens" version 'annotation))
515 (sha256
516 (base32
517 "151vj7h5p1c8yd5swrchk46z469p135wk50hvkl0nhgndvy0jj01"))))
518 (properties
519 `((upstream-name . "Homo.sapiens")))
520 (build-system r-build-system)
521 (propagated-inputs
522 (list r-genomicfeatures
523 r-go-db
524 r-org-hs-eg-db
525 r-txdb-hsapiens-ucsc-hg19-knowngene
526 r-organismdbi
527 r-annotationdbi))
528 (home-page "https://bioconductor.org/packages/Homo.sapiens/")
529 (synopsis "Annotation package for the Homo.sapiens object")
530 (description
531 "This package contains the Homo.sapiens object to access data from
532 several related annotation packages.")
533 (license license:artistic2.0)))
534
535 (define-public r-mus-musculus
536 (package
537 (name "r-mus-musculus")
538 (version "1.3.1")
539 (source
540 (origin
541 (method url-fetch)
542 (uri (bioconductor-uri "Mus.musculus" version 'annotation))
543 (sha256
544 (base32
545 "143zdf83gbfqhy8jm9df7gzhw5q3a64jrjrxrzjf0zd76j8s8j6y"))))
546 (properties `((upstream-name . "Mus.musculus")))
547 (build-system r-build-system)
548 (propagated-inputs
549 (list r-annotationdbi
550 r-genomicfeatures
551 r-go-db
552 r-org-mm-eg-db
553 r-organismdbi
554 r-txdb-mmusculus-ucsc-mm10-knowngene))
555 (home-page "https://bioconductor.org/packages/Mus.musculus")
556 (synopsis "Annotation package for the Mus.musculus object")
557 (description
558 "This package contains the @code{Mus.musculus} object to access data
559 from several related annotation packages.")
560 (license license:artistic2.0)))
561
562 (define-public r-illuminahumanmethylation450kanno-ilmn12-hg19
563 (package
564 (name "r-illuminahumanmethylation450kanno-ilmn12-hg19")
565 (version "0.6.0")
566 (source
567 (origin
568 (method url-fetch)
569 (uri (bioconductor-uri
570 "IlluminaHumanMethylation450kanno.ilmn12.hg19"
571 version 'annotation))
572 (sha256
573 (base32
574 "059vlxsx3p3fcnywwirahsc6mlk813zpqnbv0jsrag6x5bb8z6r4"))))
575 (properties
576 `((upstream-name
577 . "IlluminaHumanMethylation450kanno.ilmn12.hg19")))
578 (build-system r-build-system)
579 (propagated-inputs (list r-minfi))
580 (home-page
581 "https://bioconductor.org/packages/IlluminaHumanMethylation450kanno.ilmn12.hg19/")
582 (synopsis "Annotation for Illumina's 450k methylation arrays")
583 (description
584 "This package provides manifests and annotation for Illumina's 450k array
585 data.")
586 (license license:artistic2.0)))
587
588 (define-public r-org-ce-eg-db
589 (package
590 (name "r-org-ce-eg-db")
591 (version "3.7.0")
592 (source (origin
593 (method url-fetch)
594 (uri (bioconductor-uri "org.Ce.eg.db" version 'annotation))
595 (sha256
596 (base32
597 "1w5br1ss4ha8wv4v2saj7cmbjc2jw0dyj2f2y269l078z31wcnaz"))))
598 (properties
599 `((upstream-name . "org.Ce.eg.db")))
600 (build-system r-build-system)
601 (propagated-inputs
602 (list r-annotationdbi))
603 (home-page "https://www.bioconductor.org/packages/org.Ce.eg.db/")
604 (synopsis "Genome wide annotation for Worm")
605 (description
606 "This package provides mappings from Entrez gene identifiers to various
607 annotations for the genome of the model worm Caenorhabditis elegans.")
608 (license license:artistic2.0)))
609
610 (define-public r-org-dm-eg-db
611 (package
612 (name "r-org-dm-eg-db")
613 (version "3.7.0")
614 (source (origin
615 (method url-fetch)
616 (uri (bioconductor-uri "org.Dm.eg.db" version 'annotation))
617 (sha256
618 (base32
619 "1pqjrzlyg72bjpy8zsxvaglc7jsv176bnyi87xdajmkvsgxpm7b3"))))
620 (properties
621 `((upstream-name . "org.Dm.eg.db")))
622 (build-system r-build-system)
623 (propagated-inputs
624 (list r-annotationdbi))
625 (home-page "https://www.bioconductor.org/packages/org.Dm.eg.db/")
626 (synopsis "Genome wide annotation for Fly")
627 (description
628 "This package provides mappings from Entrez gene identifiers to various
629 annotations for the genome of the model fruit fly Drosophila melanogaster.")
630 (license license:artistic2.0)))
631
632 (define-public r-org-dr-eg-db
633 (package
634 (name "r-org-dr-eg-db")
635 (version "3.7.0")
636 (source (origin
637 (method url-fetch)
638 (uri (bioconductor-uri "org.Dr.eg.db" version 'annotation))
639 (sha256
640 (base32
641 "1xs5wsbcpy0iwbjyiv7fax57djqc529ai5fk1qfsdcvlja3cpglx"))))
642 (properties
643 `((upstream-name . "org.Dr.eg.db")))
644 (build-system r-build-system)
645 (propagated-inputs
646 (list r-annotationdbi))
647 (home-page "https://www.bioconductor.org/packages/org.Dr.eg.db/")
648 (synopsis "Annotation for Zebrafish")
649 (description
650 "This package provides genome wide annotations for Zebrafish, primarily
651 based on mapping using Entrez Gene identifiers.")
652 (license license:artistic2.0)))
653
654 (define-public r-org-hs-eg-db
655 (package
656 (name "r-org-hs-eg-db")
657 (version "3.14.0")
658 (source (origin
659 (method url-fetch)
660 (uri (bioconductor-uri "org.Hs.eg.db" version 'annotation))
661 (sha256
662 (base32
663 "0mnddv42ll0sc0zxf7hkgilslykbvfn7xgxg1g8qi57q2dmpwb6j"))))
664 (properties
665 `((upstream-name . "org.Hs.eg.db")))
666 (build-system r-build-system)
667 (propagated-inputs
668 (list r-annotationdbi))
669 (home-page "https://www.bioconductor.org/packages/org.Hs.eg.db/")
670 (synopsis "Genome wide annotation for Human")
671 (description
672 "This package contains genome-wide annotations for Human, primarily based
673 on mapping using Entrez Gene identifiers.")
674 (license license:artistic2.0)))
675
676 (define-public r-org-mm-eg-db
677 (package
678 (name "r-org-mm-eg-db")
679 (version "3.7.0")
680 (source (origin
681 (method url-fetch)
682 (uri (bioconductor-uri "org.Mm.eg.db" version 'annotation))
683 (sha256
684 (base32
685 "1i3nvrd3wjigf1rmgxq1p5xxc3p8v02h5gwi62s30rkrsyjjfjxx"))))
686 (properties
687 `((upstream-name . "org.Mm.eg.db")))
688 (build-system r-build-system)
689 (propagated-inputs
690 (list r-annotationdbi))
691 (home-page "https://www.bioconductor.org/packages/org.Mm.eg.db/")
692 (synopsis "Genome wide annotation for Mouse")
693 (description
694 "This package provides mappings from Entrez gene identifiers to various
695 annotations for the genome of the model mouse Mus musculus.")
696 (license license:artistic2.0)))
697
698 (define-public r-bsgenome-hsapiens-ucsc-hg19
699 (package
700 (name "r-bsgenome-hsapiens-ucsc-hg19")
701 (version "1.4.3")
702 (source (origin
703 (method url-fetch)
704 (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg19"
705 version 'annotation))
706 (sha256
707 (base32
708 "06lx7q7i52lg3vkjkqy492z9ianzgi4nhs9m1jrxjjb4hgbnbyjv"))))
709 (properties
710 `((upstream-name . "BSgenome.Hsapiens.UCSC.hg19")))
711 (build-system r-build-system)
712 (propagated-inputs
713 (list r-bsgenome))
714 (home-page
715 "https://www.bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg19/")
716 (synopsis "Full genome sequences for Homo sapiens")
717 (description
718 "This package provides full genome sequences for Homo sapiens as provided
719 by UCSC (hg19, February 2009) and stored in Biostrings objects.")
720 (license license:artistic2.0)))
721
722 (define-public r-bsgenome-hsapiens-ucsc-hg38
723 (package
724 (name "r-bsgenome-hsapiens-ucsc-hg38")
725 (version "1.4.4")
726 (source (origin
727 (method url-fetch)
728 (uri (bioconductor-uri "BSgenome.Hsapiens.UCSC.hg38"
729 version 'annotation))
730 (sha256
731 (base32 "03xmh6q99nqjxz29m6j0ymxlk22jq0nlvpf4a2yhg3hgnxqkakh2"))))
732 (properties
733 `((upstream-name . "BSgenome.Hsapiens.UCSC.hg38")))
734 (build-system r-build-system)
735 (propagated-inputs
736 (list r-bsgenome))
737 (home-page
738 "https://www.bioconductor.org/packages/BSgenome.Hsapiens.UCSC.hg38/")
739 (synopsis "Full genome sequences for Homo sapiens")
740 (description
741 "This package provides full genome sequences for Homo sapiens (Human)
742 as provided by UCSC (hg38, Dec. 2013) and stored in Biostrings objects.")
743 (license license:artistic2.0)))
744
745 (define-public r-ensdb-hsapiens-v75
746 (package
747 (name "r-ensdb-hsapiens-v75")
748 (version "2.99.0")
749 (source
750 (origin
751 (method url-fetch)
752 (uri (bioconductor-uri "EnsDb.Hsapiens.v75" version 'annotation))
753 (sha256
754 (base32
755 "0jx6rf6v0j8yr07q3c1h7s121901dc400nm6xaiv4i7kb5czjn9c"))))
756 (properties
757 `((upstream-name . "EnsDb.Hsapiens.v75")))
758 (build-system r-build-system)
759 (propagated-inputs
760 (list r-ensembldb))
761 (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v75")
762 (synopsis "Ensembl based annotation package")
763 (description
764 "This package exposes an annotation database generated from Ensembl.")
765 (license license:artistic2.0)))
766
767 (define-public r-ensdb-hsapiens-v86
768 (package
769 (name "r-ensdb-hsapiens-v86")
770 (version "2.99.0")
771 (source
772 (origin
773 (method url-fetch)
774 (uri (bioconductor-uri "EnsDb.Hsapiens.v86" version 'annotation))
775 (sha256
776 (base32 "1gp7xrzddpvmh2vrcp571wyy00skxgxfl39ksj4h0hm1qay0fb2m"))))
777 (properties `((upstream-name . "EnsDb.Hsapiens.v86")))
778 (build-system r-build-system)
779 (propagated-inputs (list r-ensembldb))
780 (home-page "https://bioconductor.org/packages/EnsDb.Hsapiens.v86")
781 (synopsis "Ensembl based annotation package")
782 (description "This package exposes an annotation database generated from
783 Ensembl.")
784 (license license:artistic2.0)))
785
786 (define-public r-ensdb-mmusculus-v79
787 (package
788 (name "r-ensdb-mmusculus-v79")
789 (version "2.99.0")
790 (source
791 (origin
792 (method url-fetch)
793 (uri (bioconductor-uri "EnsDb.Mmusculus.v79" version 'annotation))
794 (sha256
795 (base32 "1zpmq7v55if6q9r0h883q9k8l70ym20b01m9hxf121wb256rl9f7"))))
796 (properties `((upstream-name . "EnsDb.Mmusculus.v79")))
797 (build-system r-build-system)
798 (propagated-inputs (list r-ensembldb))
799 (home-page "https://bioconductor.org/packages/EnsDb.Mmusculus.v79")
800 (synopsis "Ensembl based annotation package")
801 (description "This package exposes an annotation database generated from
802 Ensembl.")
803 (license license:artistic2.0)))
804
805 (define-public r-snplocs-hsapiens-dbsnp144-grch37
806 (package
807 (name "r-snplocs-hsapiens-dbsnp144-grch37")
808 (version "0.99.20")
809 (source (origin
810 (method url-fetch)
811 (uri (bioconductor-uri "SNPlocs.Hsapiens.dbSNP144.GRCh37"
812 version 'annotation))
813 (sha256
814 (base32
815 "1z8kx43ki1jvj7ms7pcybakcdimfwr6zpjvspkjmma97bdz093iz"))))
816 (build-system r-build-system)
817 ;; As this package provides little more than a very large data file it
818 ;; doesn't make sense to build substitutes.
819 (arguments `(#:substitutable? #f))
820 (propagated-inputs
821 (list r-biocgenerics
822 r-s4vectors
823 r-iranges
824 r-genomeinfodb
825 r-genomicranges
826 r-bsgenome
827 r-biostrings))
828 (home-page
829 "https://bioconductor.org/packages/SNPlocs.Hsapiens.dbSNP144.GRCh37/")
830 (synopsis "SNP locations for Homo sapiens (dbSNP Build 144)")
831 (description "This package provides SNP locations and alleles for Homo
832 sapiens extracted from NCBI dbSNP Build 144. The source data files used for
833 this package were created by NCBI on May 29-30, 2015, and contain SNPs mapped
834 to reference genome GRCh37.p13. Note that the GRCh37.p13 genome is a
835 patched version of GRCh37. However the patch doesn't alter chromosomes 1-22,
836 X, Y, MT. GRCh37 itself is the same as the hg19 genome from UCSC *except* for
837 the mitochondrion chromosome. Therefore, the SNPs in this package can be
838 injected in @code{BSgenome.Hsapiens.UCSC.hg19} and they will land at the
839 correct position but this injection will exclude chrM (i.e. nothing will be
840 injected in that sequence).")
841 (license license:artistic2.0)))
842
843 (define-public r-txdb-dmelanogaster-ucsc-dm6-ensgene
844 (package
845 (name "r-txdb-dmelanogaster-ucsc-dm6-ensgene")
846 (version "3.12.0")
847 (source
848 (origin
849 (method url-fetch)
850 (uri (bioconductor-uri "TxDb.Dmelanogaster.UCSC.dm6.ensGene"
851 version 'annotation))
852 (sha256
853 (base32
854 "0yij7zyqkmmr13389rs2gfa5anvvw648nnl1kjbsgvyxkggif8q4"))))
855 (properties
856 `((upstream-name . "TxDb.Dmelanogaster.UCSC.dm6.ensGene")))
857 (build-system r-build-system)
858 (propagated-inputs
859 (list r-annotationdbi r-genomicfeatures))
860 (home-page
861 "https://bioconductor.org/packages/TxDb.Dmelanogaster.UCSC.dm6.ensGene")
862 (synopsis "Annotation package for TxDb object(s)")
863 (description
864 "This package exposes an annotation databases generated from UCSC by
865 exposing these as TxDb objects.")
866 (license license:artistic2.0)))
867
868 (define-public r-txdb-hsapiens-ucsc-hg19-knowngene
869 (package
870 (name "r-txdb-hsapiens-ucsc-hg19-knowngene")
871 (version "3.2.2")
872 (source (origin
873 (method url-fetch)
874 (uri (bioconductor-uri "TxDb.Hsapiens.UCSC.hg19.knownGene"
875 version 'annotation))
876 (sha256
877 (base32
878 "1sajhcqqwazgz2lqbik7rd935i7kpnh08zxbp2ra10j72yqy4g86"))))
879 (properties
880 `((upstream-name . "TxDb.Hsapiens.UCSC.hg19.knownGene")))
881 (build-system r-build-system)
882 (propagated-inputs
883 (list r-genomicfeatures))
884 (home-page
885 "https://bioconductor.org/packages/TxDb.Hsapiens.UCSC.hg19.knownGene/")
886 (synopsis "Annotation package for human genome in TxDb format")
887 (description
888 "This package provides an annotation database of Homo sapiens genome
889 data. It is derived from the UCSC hg19 genome and based on the \"knownGene\"
890 track. The database is exposed as a @code{TxDb} object.")
891 (license license:artistic2.0)))
892
893 (define-public r-txdb-hsapiens-ucsc-hg38-knowngene
894 (package
895 (name "r-txdb-hsapiens-ucsc-hg38-knowngene")
896 (version "3.15.0")
897 (source (origin
898 (method url-fetch)
899 (uri (bioconductor-uri "TxDb.Hsapiens.UCSC.hg38.knownGene"
900 version 'annotation))
901 (sha256
902 (base32 "1y9fqhkk5wgny43bxc0j82afy49vz34rblcmcfmwavngdkpnj879"))))
903 (properties
904 `((upstream-name . "TxDb.Hsapiens.UCSC.hg38.knownGene")))
905 (build-system r-build-system)
906 (propagated-inputs
907 (list r-annotationdbi r-genomicfeatures))
908 (home-page
909 "https://bioconductor.org/packages/TxDb.Hsapiens.UCSC.hg38.knownGene/")
910 (synopsis "Annotation package for human genome in TxDb format")
911 (description
912 "This package provides an annotation database of Homo sapiens genome
913 data. It is derived from the UCSC hg38 genome and based on the \"knownGene\"
914 track. The database is exposed as a @code{TxDb} object.")
915 (license license:artistic2.0)))
916
917 (define-public r-txdb-mmusculus-ucsc-mm9-knowngene
918 (package
919 (name "r-txdb-mmusculus-ucsc-mm9-knowngene")
920 (version "3.2.2")
921 (source (origin
922 (method url-fetch)
923 (uri (bioconductor-uri "TxDb.Mmusculus.UCSC.mm9.knownGene"
924 version 'annotation))
925 (sha256
926 (base32
927 "16bjxy00363hf91ik2mqlqls86i07gia72qh92xc3l1ncch61mx2"))))
928 (properties
929 `((upstream-name . "TxDb.Mmusculus.UCSC.mm9.knownGene")))
930 (build-system r-build-system)
931 (propagated-inputs
932 (list r-genomicfeatures r-annotationdbi))
933 (home-page
934 "https://bioconductor.org/packages/TxDb.Mmusculus.UCSC.mm9.knownGene/")
935 (synopsis "Annotation package for mouse genome in TxDb format")
936 (description
937 "This package provides an annotation database of Mouse genome data. It
938 is derived from the UCSC mm9 genome and based on the \"knownGene\" track. The
939 database is exposed as a @code{TxDb} object.")
940 (license license:artistic2.0)))
941
942 (define-public r-txdb-mmusculus-ucsc-mm10-knowngene
943 (package
944 (name "r-txdb-mmusculus-ucsc-mm10-knowngene")
945 (version "3.10.0")
946 (source (origin
947 (method url-fetch)
948 (uri (bioconductor-uri "TxDb.Mmusculus.UCSC.mm10.knownGene"
949 version 'annotation))
950 (sha256
951 (base32
952 "0xs9npnhbwll7p62hibs02y4ac23jchdcr25i6a7qwq1kms82qk9"))))
953 (properties
954 `((upstream-name . "TxDb.Mmusculus.UCSC.mm10.knownGene")))
955 (build-system r-build-system)
956 (propagated-inputs
957 (list r-bsgenome r-genomicfeatures r-annotationdbi))
958 (home-page
959 "https://bioconductor.org/packages/TxDb.Mmusculus.UCSC.mm10.knownGene/")
960 (synopsis "Annotation package for TxDb knownGene object(s) for Mouse")
961 (description
962 "This package loads a TxDb object, which is an R interface to
963 prefabricated databases contained in this package. This package provides
964 the TxDb object of Mouse data as provided by UCSC (mm10, December 2011)
965 based on the knownGene track.")
966 (license license:artistic2.0)))
967
968 (define-public r-txdb-celegans-ucsc-ce6-ensgene
969 (package
970 (name "r-txdb-celegans-ucsc-ce6-ensgene")
971 (version "3.2.2")
972 (source
973 (origin
974 (method url-fetch)
975 (uri (bioconductor-uri "TxDb.Celegans.UCSC.ce6.ensGene"
976 version 'annotation))
977 (sha256
978 (base32
979 "1sgppva33cdy4isj2is8mfalj5gmmkpbkq9w1d83a4agcq31mi90"))))
980 (properties
981 `((upstream-name . "TxDb.Celegans.UCSC.ce6.ensGene")))
982 (build-system r-build-system)
983 (propagated-inputs
984 (list r-annotationdbi r-genomicfeatures))
985 (home-page "https://bioconductor.org/packages/TxDb.Celegans.UCSC.ce6.ensGene/")
986 (synopsis "Annotation package for C elegans TxDb objects")
987 (description
988 "This package exposes a C elegans annotation database generated from UCSC
989 by exposing these as TxDb objects.")
990 (license license:artistic2.0)))
991
992 (define-public r-fdb-infiniummethylation-hg19
993 (package
994 (name "r-fdb-infiniummethylation-hg19")
995 (version "2.2.0")
996 (source (origin
997 (method url-fetch)
998 (uri (bioconductor-uri "FDb.InfiniumMethylation.hg19"
999 version 'annotation))
1000 (sha256
1001 (base32
1002 "0gq90fvph6kgrpjb89nvzq6hl1k24swn19rgjh5g98l86mja6nk0"))))
1003 (properties
1004 `((upstream-name . "FDb.InfiniumMethylation.hg19")))
1005 (build-system r-build-system)
1006 (propagated-inputs
1007 (list r-biostrings r-genomicfeatures r-annotationdbi r-org-hs-eg-db
1008 r-txdb-hsapiens-ucsc-hg19-knowngene))
1009 (home-page "https://bioconductor.org/packages/FDb.InfiniumMethylation.hg19/")
1010 (synopsis "Compiled HumanMethylation27 and HumanMethylation450 annotations")
1011 (description
1012 "This is an annotation package for Illumina Infinium DNA methylation
1013 probes. It contains the compiled HumanMethylation27 and HumanMethylation450
1014 annotations.")
1015 (license license:artistic2.0)))
1016
1017 (define-public r-illuminahumanmethylationepicmanifest
1018 (package
1019 (name "r-illuminahumanmethylationepicmanifest")
1020 (version "0.3.0")
1021 (source (origin
1022 (method url-fetch)
1023 (uri (bioconductor-uri "IlluminaHumanMethylationEPICmanifest"
1024 version 'annotation))
1025 (sha256
1026 (base32
1027 "0alhjda5g186z8b1nsmnpfswrlj7prdz8mkwx60wkkl6hkcnk6p3"))))
1028 (properties
1029 `((upstream-name . "IlluminaHumanMethylationEPICmanifest")))
1030 (build-system r-build-system)
1031 (propagated-inputs
1032 (list r-minfi))
1033 (home-page "https://bioconductor.org/packages/IlluminaHumanMethylationEPICmanifest/")
1034 (synopsis "Manifest for Illumina's EPIC methylation arrays")
1035 (description
1036 "This is a manifest package for Illumina's EPIC methylation arrays.")
1037 (license license:artistic2.0)))
1038
1039 (define-public r-do-db
1040 (package
1041 (name "r-do-db")
1042 (version "2.9")
1043 (source (origin
1044 (method url-fetch)
1045 (uri (bioconductor-uri "DO.db" version 'annotation))
1046 (sha256
1047 (base32
1048 "10bqqa124l61ivzy4mdd3z3ar9a6537qbxw23pc4y9w8a6dwnavn"))))
1049 (properties
1050 `((upstream-name . "DO.db")))
1051 (build-system r-build-system)
1052 (propagated-inputs
1053 (list r-annotationdbi))
1054 (home-page "https://www.bioconductor.org/packages/DO.db/")
1055 (synopsis "Annotation maps describing the entire Disease Ontology")
1056 (description
1057 "This package provides a set of annotation maps describing the entire
1058 Disease Ontology.")
1059 (license license:artistic2.0)))
1060
1061 (define-public r-hgu133plus2-db
1062 (package
1063 (name "r-hgu133plus2-db")
1064 (version "3.13.0")
1065 (source
1066 (origin
1067 (method url-fetch)
1068 (uri (bioconductor-uri "hgu133plus2.db" version 'annotation))
1069 (sha256
1070 (base32 "0i6cfk7ahql4fcgrq0dai9gkjbsahyzd9iv4lqv1ad58fzkmipnx"))))
1071 (properties `((upstream-name . "hgu133plus2.db")))
1072 (build-system r-build-system)
1073 (propagated-inputs (list r-annotationdbi r-org-hs-eg-db))
1074 (home-page "https://bioconductor.org/packages/hgu133plus2.db")
1075 (synopsis "Affymetrix Affymetrix HG-U133_Plus_2 Array annotation data")
1076 (description
1077 "This package provides Affymetrix HG-U133_Plus_2 array annotation
1078 data (chip hgu133plus2) assembled using data from public repositories.")
1079 (license license:artistic2.0)))
1080
1081 (define-public r-pfam-db
1082 (package
1083 (name "r-pfam-db")
1084 (version "3.15.0")
1085 (source
1086 (origin
1087 (method url-fetch)
1088 (uri (bioconductor-uri "PFAM.db" version 'annotation))
1089 (sha256
1090 (base32 "03vjfb9vx1gxrw1jkq6y4i46qhjj9z2mkdiflglbd6kpfrgnl0z7"))))
1091 (properties `((upstream-name . "PFAM.db")))
1092 (build-system r-build-system)
1093 (propagated-inputs
1094 (list r-annotationdbi))
1095 (home-page "https://bioconductor.org/packages/PFAM.db")
1096 (synopsis "Set of protein ID mappings for PFAM")
1097 (description
1098 "This package provides a set of protein ID mappings for PFAM, assembled
1099 using data from public repositories.")
1100 (license license:artistic2.0)))
1101
1102 (define-public r-phastcons100way-ucsc-hg19
1103 (package
1104 (name "r-phastcons100way-ucsc-hg19")
1105 (version "3.7.2")
1106 (source
1107 (origin
1108 (method url-fetch)
1109 (uri (bioconductor-uri "phastCons100way.UCSC.hg19"
1110 version 'annotation))
1111 (sha256
1112 (base32
1113 "1jmc4k4zgkx5vr2plnidnd9bidlwlb0kr7mjg60cqjw7dq7jl1fa"))))
1114 (properties
1115 `((upstream-name . "phastCons100way.UCSC.hg19")))
1116 (build-system r-build-system)
1117 (propagated-inputs
1118 (list r-bsgenome
1119 r-genomeinfodb
1120 r-genomicranges
1121 r-genomicscores
1122 r-iranges
1123 r-s4vectors))
1124 (home-page "https://bioconductor.org/packages/phastCons100way.UCSC.hg19")
1125 (synopsis "UCSC phastCons conservation scores for hg19")
1126 (description
1127 "This package provides UCSC phastCons conservation scores for the human
1128 genome (hg19) calculated from multiple alignments with other 99 vertebrate
1129 species.")
1130 (license license:artistic2.0)))
1131
1132 \f
1133 ;;; Experiment data
1134
1135 (define-public r-abadata
1136 (package
1137 (name "r-abadata")
1138 (version "1.12.0")
1139 (source (origin
1140 (method url-fetch)
1141 (uri (bioconductor-uri "ABAData" version 'experiment))
1142 (sha256
1143 (base32
1144 "1bmj341xcymlrk02gss5vvrqc4ddas0rdw39lnpsj98hq6n11p5z"))))
1145 (properties
1146 `((upstream-name . "ABAData")))
1147 (build-system r-build-system)
1148 (propagated-inputs
1149 (list r-annotationdbi))
1150 (home-page "https://www.bioconductor.org/packages/ABAData/")
1151 (synopsis "Gene expression in human brain regions from Allen Brain Atlas")
1152 (description
1153 "This package provides the data for the gene expression enrichment
1154 analysis conducted in the package ABAEnrichment. The package includes three
1155 datasets which are derived from the Allen Brain Atlas:
1156
1157 @enumerate
1158 @item Gene expression data from Human Brain (adults) averaged across donors,
1159 @item Gene expression data from the Developing Human Brain pooled into five
1160 age categories and averaged across donors, and
1161 @item a developmental effect score based on the Developing Human Brain
1162 expression data.
1163 @end enumerate
1164
1165 All datasets are restricted to protein coding genes.")
1166 (license license:gpl2+)))
1167
1168 (define-public r-adductdata
1169 (package
1170 (name "r-adductdata")
1171 (version "1.12.0")
1172 (source (origin
1173 (method url-fetch)
1174 (uri (bioconductor-uri "adductData" version 'experiment))
1175 (sha256
1176 (base32 "02r7p1645vhhf7wn5x0aklmf7l97h6fjb8v9mldim4waccmpyg48"))))
1177 (properties `((upstream-name . "adductData")))
1178 (build-system r-build-system)
1179 (propagated-inputs (list r-annotationhub r-experimenthub))
1180 (native-inputs (list r-knitr))
1181 (home-page "https://bioconductor.org/packages/adductData")
1182 (synopsis "Data from untargeted mass spectrometry of modifications to Cys34")
1183 (description
1184 "This package contains data from untargeted @dfn{mass spectrometry} (MS)
1185 of modifications to @dfn{oxidized cysteine} (Cys) 34 in @dfn{human serum
1186 albumin} (HSA).")
1187 (license license:artistic2.0)))
1188
1189 (define-public r-aneufinderdata
1190 (package
1191 (name "r-aneufinderdata")
1192 (version "1.24.0")
1193 (source (origin
1194 (method url-fetch)
1195 (uri (bioconductor-uri "AneuFinderData" version 'experiment))
1196 (sha256
1197 (base32 "0cncb8km0sc2xh95rgnnm38kys5ml0n8gh8cl6x7ls1xh9sm83f7"))))
1198 (build-system r-build-system)
1199 (home-page "https://bioconductor.org/packages/AneuFinderData/")
1200 (synopsis "Data package for @code{AneuFinder}")
1201 (description "This package contains whole-genome single cell sequencing data for
1202 demonstration purposes in the @code{AneuFinder} package.")
1203 (license license:artistic2.0)))
1204
1205 (define-public r-arrmdata
1206 (package
1207 (name "r-arrmdata")
1208 (version "1.32.0")
1209 (source (origin
1210 (method url-fetch)
1211 (uri (bioconductor-uri "ARRmData" version 'experiment))
1212 (sha256
1213 (base32 "1cjzr58426s9z2bwjz3wzlkh52fv0q85cw4gbjnhwakh9sr3dd5p"))))
1214 (properties
1215 `((upstream-name . "ARRmData")))
1216 (build-system r-build-system)
1217 (home-page "https://www.bioconductor.org/packages/ARRmData/")
1218 (synopsis "Example dataset for normalization of Illumina 450k methylation data")
1219 (description
1220 "This package provides raw beta values from 36 samples across 3 groups
1221 from Illumina 450k methylation arrays.")
1222 (license license:artistic2.0)))
1223
1224 (define-public r-bladderbatch
1225 (package
1226 (name "r-bladderbatch")
1227 (version "1.34.0")
1228 (source (origin
1229 (method url-fetch)
1230 (uri (bioconductor-uri "bladderbatch" version
1231 'experiment))
1232 (sha256
1233 (base32
1234 "1dpbaqsqizyi99r0imf5m4lndhhrkyiaqii9bi8rp18fjbjdd72k"))))
1235 (properties `((upstream-name . "bladderbatch")))
1236 (build-system r-build-system)
1237 (propagated-inputs (list r-biobase))
1238 (home-page "https://bioconductor.org/packages/bladderbatch")
1239 (synopsis "Bladder gene expression data illustrating batch effects")
1240 (description
1241 "This package contains microarray gene expression data on 57 bladder samples from
1242 5 batches. The data are used as an illustrative example for the sva package.")
1243 (license license:artistic2.0)))
1244
1245 (define-public r-biscuiteerdata
1246 (package
1247 (name "r-biscuiteerdata")
1248 (version "1.10.0")
1249 (source
1250 (origin
1251 (method url-fetch)
1252 (uri (bioconductor-uri "biscuiteerData" version 'experiment))
1253 (sha256
1254 (base32 "0nda6b8mkv93s513y0xfgxvi7zn8v07jx323ii709rknlncm6qqw"))))
1255 (properties
1256 `((upstream-name . "biscuiteerData")))
1257 (build-system r-build-system)
1258 (propagated-inputs
1259 (list r-annotationhub r-curl r-experimenthub))
1260 (native-inputs (list r-knitr))
1261 (home-page "https://bioconductor.org/packages/biscuiteerData")
1262 (synopsis "Data package for Biscuiteer")
1263 (description
1264 "This package contains default datasets used by the Bioconductor package
1265 biscuiteer.")
1266 (license license:gpl3)))
1267
1268 (define-public r-celldex
1269 (package
1270 (name "r-celldex")
1271 (version "1.6.0")
1272 (source
1273 (origin
1274 (method url-fetch)
1275 (uri (bioconductor-uri "celldex" version 'experiment))
1276 (sha256
1277 (base32 "1fjldmhb9yg6yr3aq5ldvc8xwqw71ix4cdlr53xxckgwljjq7x10"))))
1278 (properties `((upstream-name . "celldex")))
1279 (build-system r-build-system)
1280 (propagated-inputs
1281 (list r-annotationdbi
1282 r-annotationhub
1283 r-delayedarray
1284 r-delayedmatrixstats
1285 r-experimenthub
1286 r-s4vectors
1287 r-summarizedexperiment))
1288 (native-inputs (list r-knitr))
1289 (home-page "https://github.com/LTLA/celldex")
1290 (synopsis "Reference index for cell types")
1291 (description
1292 "This package provides a collection of reference expression datasets with
1293 curated cell type labels, for use in procedures like automated annotation of
1294 single-cell data or deconvolution of bulk RNA-seq.")
1295 (license license:gpl3)))
1296
1297 (define-public r-chromstardata
1298 (package
1299 (name "r-chromstardata")
1300 (version "1.22.0")
1301 (source
1302 (origin
1303 (method url-fetch)
1304 (uri (bioconductor-uri "chromstaRData" version 'experiment))
1305 (sha256
1306 (base32 "1ajwnkibpi01c93nrplxhy6grw8jj5219g4pii4rkan4k5815kv1"))))
1307 (properties `((upstream-name . "chromstaRData")))
1308 (build-system r-build-system)
1309 (home-page "https://bioconductor.org/packages/chromstaRData/")
1310 (synopsis "ChIP-seq data for demonstration purposes")
1311 (description
1312 "This package provides ChIP-seq data for demonstration purposes in the
1313 chromstaR package.")
1314 (license license:gpl3)))
1315
1316 (define-public r-copyhelper
1317 (package
1318 (name "r-copyhelper")
1319 (version "1.28.0")
1320 (source
1321 (origin
1322 (method url-fetch)
1323 (uri (bioconductor-uri "CopyhelpeR" version 'experiment))
1324 (sha256
1325 (base32 "0klrnxck0q14birnpwzkiwmj77hwdn6gazvdg0lqn9y6j5mbkyx1"))))
1326 (properties `((upstream-name . "CopyhelpeR")))
1327 (build-system r-build-system)
1328 (home-page "https://bioconductor.org/packages/CopyhelpeR/")
1329 (synopsis "Helper files for CopywriteR")
1330 (description
1331 "This package contains the helper files that are required to run the
1332 Bioconductor package CopywriteR. It contains pre-assembled 1kb bin GC-content
1333 and mappability files for the reference genomes hg18, hg19, hg38, mm9 and
1334 mm10. In addition, it contains a blacklist filter to remove regions that
1335 display copy number variation. Files are stored as GRanges objects from the
1336 GenomicRanges Bioconductor package.")
1337 (license license:gpl2)))
1338
1339 (define-public r-genelendatabase
1340 (package
1341 (name "r-genelendatabase")
1342 (version "1.32.0")
1343 (source
1344 (origin
1345 (method url-fetch)
1346 (uri (bioconductor-uri "geneLenDataBase" version 'experiment))
1347 (sha256
1348 (base32 "0p4rmd3qszsnyn47mfbk96zfa0bhpyyvsh4ma1ligjrsnmkicsaz"))))
1349 (properties
1350 `((upstream-name . "geneLenDataBase")))
1351 (build-system r-build-system)
1352 (propagated-inputs
1353 (list r-rtracklayer r-genomicfeatures))
1354 (home-page "https://bioconductor.org/packages/geneLenDataBase/")
1355 (synopsis "Lengths of mRNA transcripts for a number of genomes")
1356 (description
1357 "This package provides the lengths of mRNA transcripts for a number of
1358 genomes and gene ID formats, largely based on the UCSC table browser.")
1359 (license license:lgpl2.0+)))
1360
1361 (define-public r-genomationdata
1362 (package
1363 (name "r-genomationdata")
1364 (version "1.28.0")
1365 (source
1366 (origin
1367 (method url-fetch)
1368 (uri (bioconductor-uri "genomationData" version 'experiment))
1369 (sha256
1370 (base32 "0ckdgmarndpz6r0y9sd4nmypzjgivj32w2890yl15xmxkx4397fh"))))
1371 (properties
1372 `((upstream-name . "genomationData")))
1373 (build-system r-build-system)
1374 ;; As this package provides little more than large data files, it doesn't
1375 ;; make sense to build substitutes.
1376 (arguments `(#:substitutable? #f))
1377 (native-inputs
1378 (list r-knitr))
1379 (home-page "https://bioinformatics.mdc-berlin.de/genomation/")
1380 (synopsis "Experimental data for use with the genomation package")
1381 (description
1382 "This package contains experimental genetic data for use with the
1383 genomation package. Included are Chip Seq, Methylation and Cage data,
1384 downloaded from Encode.")
1385 (license license:gpl3+)))
1386
1387 (define-public r-macrophage
1388 (package
1389 (name "r-macrophage")
1390 (version "1.12.0")
1391 (source (origin
1392 (method url-fetch)
1393 (uri (bioconductor-uri "macrophage" version
1394 'experiment))
1395 (sha256
1396 (base32
1397 "0ml8v92w021fmzsn4yl90ap3l4l3b9c1pk8pzsrm122p82wzlyms"))))
1398 (properties `((upstream-name . "macrophage")))
1399 (build-system r-build-system)
1400 (native-inputs (list r-knitr))
1401 (home-page "https://bioconductor.org/packages/macrophage")
1402 (synopsis "Human macrophage immune response data")
1403 (description
1404 "This package provides the output of running @code{Salmon} on a set of 24
1405 RNA-seq samples from Alasoo, et al. \"Shared genetic effects on chromatin and
1406 gene expression indicate a role for enhancer priming in immune response\", published
1407 in Nature Genetics, January 2018.")
1408 (license license:gpl2+)))
1409
1410 (define-public r-msdata
1411 (package
1412 (name "r-msdata")
1413 (version "0.36.0")
1414 (source
1415 (origin
1416 (method url-fetch)
1417 (uri (bioconductor-uri "msdata" version 'experiment))
1418 (sha256
1419 (base32 "0nqb7d7fa9l15bxy3s9wmy2h79jb6ldwww0hzk5mifabacmzx691"))))
1420 (properties `((upstream-name . "msdata")))
1421 (build-system r-build-system)
1422 (home-page "https://bioconductor.org/packages/msdata")
1423 (synopsis "Various Mass Spectrometry raw data example files")
1424 (description
1425 "This package provides Ion Trap positive ionization mode data in mzML file
1426 format. It includes a subset from 500-850 m/z and 1190-1310 seconds,
1427 including MS2 and MS3, intensity threshold 100.000; extracts from FTICR Apex
1428 III, m/z 400-450; a subset of UPLC - Bruker micrOTOFq data, both mzML and mz5;
1429 LC-MSMS and MRM files from proteomics experiments; and PSI mzIdentML example
1430 files for various search engines.")
1431 (license license:gpl2+)))
1432
1433 (define-public r-pasilla
1434 (package
1435 (name "r-pasilla")
1436 (version "1.24.0")
1437 (source
1438 (origin
1439 (method url-fetch)
1440 (uri (bioconductor-uri "pasilla" version 'experiment))
1441 (sha256
1442 (base32 "1vsxh7mv2krkbdqs5gsgjsxarjbll0bpyk94syrwh56z67n7jyib"))))
1443 (build-system r-build-system)
1444 (propagated-inputs (list r-dexseq))
1445 (native-inputs (list r-knitr))
1446 (home-page "https://www.bioconductor.org/packages/pasilla/")
1447 (synopsis "Data package with per-exon and per-gene read counts")
1448 (description "This package provides per-exon and per-gene read counts
1449 computed for selected genes from RNA-seq data that were presented in the
1450 article 'Conservation of an RNA regulatory map between Drosophila and mammals'
1451 by Brooks et al., Genome Research 2011.")
1452 (license license:lgpl2.1+)))
1453
1454 (define-public r-hsmmsinglecell
1455 (package
1456 (name "r-hsmmsinglecell")
1457 (version "1.16.0")
1458 (source
1459 (origin
1460 (method url-fetch)
1461 (uri (bioconductor-uri "HSMMSingleCell" version 'experiment))
1462 (sha256
1463 (base32 "12whx0pl9461xbak5r9zi6ggx5is8sk6mgrbjwlmx3mbr9am116v"))))
1464 (properties
1465 `((upstream-name . "HSMMSingleCell")))
1466 (build-system r-build-system)
1467 (home-page "https://www.bioconductor.org/packages/HSMMSingleCell/")
1468 (synopsis "Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts (HSMM)")
1469 (description
1470 "Skeletal myoblasts undergo a well-characterized sequence of
1471 morphological and transcriptional changes during differentiation. In this
1472 experiment, primary @dfn{human skeletal muscle myoblasts} (HSMM) were expanded
1473 under high mitogen conditions (GM) and then differentiated by switching to
1474 low-mitogen media (DM). RNA-Seq libraries were sequenced from each of several
1475 hundred cells taken over a time-course of serum-induced differentiation.
1476 Between 49 and 77 cells were captured at each of four time points (0, 24, 48,
1477 72 hours) following serum switch using the Fluidigm C1 microfluidic system.
1478 RNA from each cell was isolated and used to construct mRNA-Seq libraries,
1479 which were then sequenced to a depth of ~4 million reads per library,
1480 resulting in a complete gene expression profile for each cell.")
1481 (license license:artistic2.0)))
1482
1483 (define-public r-all
1484 (package
1485 (name "r-all")
1486 (version "1.38.0")
1487 (source
1488 (origin
1489 (method url-fetch)
1490 (uri (bioconductor-uri "ALL" version 'experiment))
1491 (sha256
1492 (base32 "0410045x327wmfkksshd8yishw4yxij08vn8p65cdj7hb3qy3p0z"))))
1493 (properties `((upstream-name . "ALL")))
1494 (build-system r-build-system)
1495 (propagated-inputs
1496 (list r-biobase))
1497 (home-page "https://bioconductor.org/packages/ALL")
1498 (synopsis "Acute Lymphoblastic Leukemia data from the Ritz laboratory")
1499 (description
1500 "The data consist of microarrays from 128 different individuals with
1501 @dfn{acute lymphoblastic leukemia} (ALL). A number of additional covariates
1502 are available. The data have been normalized (using rma) and it is the
1503 jointly normalized data that are available here. The data are presented in
1504 the form of an @code{exprSet} object.")
1505 (license license:artistic2.0)))
1506
1507 (define-public r-affydata
1508 (package
1509 (name "r-affydata")
1510 (version "1.44.0")
1511 (source
1512 (origin
1513 (method url-fetch)
1514 (uri (bioconductor-uri "affydata" version 'experiment))
1515 (sha256
1516 (base32 "1d8ims7hks536v739r5hhfkkzyzqrf398aqal3hzyfm0psv15jbp"))))
1517 (properties `((upstream-name . "affydata")))
1518 (build-system r-build-system)
1519 (propagated-inputs
1520 (list r-affy))
1521 (home-page "https://bioconductor.org/packages/affydata/")
1522 (synopsis "Affymetrix data for demonstration purposes")
1523 (description
1524 "This package provides example datasets that represent 'real world
1525 examples' of Affymetrix data, unlike the artificial examples included in the
1526 package @code{affy}.")
1527 (license license:gpl2+)))
1528
1529 (define-public r-gagedata
1530 (package
1531 (name "r-gagedata")
1532 (version "2.34.0")
1533 (source
1534 (origin
1535 (method url-fetch)
1536 (uri (bioconductor-uri "gageData" version 'experiment))
1537 (sha256
1538 (base32 "00s2aig9r0bvk45brc0shildrgl2z0i0k8xlvqc9h1s274nnslk9"))))
1539 (properties `((upstream-name . "gageData")))
1540 (build-system r-build-system)
1541 (home-page "https://bioconductor.org/packages/gageData")
1542 (synopsis "Auxiliary data for the gage package")
1543 (description
1544 "This is a supportive data package for the software package @code{gage}.
1545 However, the data supplied here are also useful for gene set or pathway
1546 analysis or microarray data analysis in general. In this package, we provide
1547 two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and
1548 BMP6 (originally published as an demo dataset for GAGE, also registered as
1549 GSE13604 in GEO). This package also includes commonly used gene set data based
1550 on KEGG pathways and GO terms for major research species, including human,
1551 mouse, rat and budding yeast. Mapping data between common gene IDs for budding
1552 yeast are also included.")
1553 (license license:gpl2+)))
1554
1555 (define-public r-curatedtcgadata
1556 (package
1557 (name "r-curatedtcgadata")
1558 (version "1.18.0")
1559 (source
1560 (origin
1561 (method url-fetch)
1562 (uri (bioconductor-uri "curatedTCGAData" version 'experiment))
1563 (sha256
1564 (base32 "0h3mpwy6lhyn8hfry13sdjgb35gqyi3g26igfjqzshc5wvsniwpr"))))
1565 (properties
1566 `((upstream-name . "curatedTCGAData")))
1567 (build-system r-build-system)
1568 (propagated-inputs
1569 (list r-annotationhub
1570 r-experimenthub
1571 r-hdf5array
1572 r-multiassayexperiment
1573 r-s4vectors
1574 r-summarizedexperiment))
1575 (native-inputs (list r-knitr))
1576 (home-page "https://bioconductor.org/packages/curatedTCGAData/")
1577 (synopsis "Curated data from The Cancer Genome Atlas")
1578 (description
1579 "This package provides publicly available data from The Cancer Genome
1580 Atlas (TCGA) as @code{MultiAssayExperiment} objects.
1581 @code{MultiAssayExperiment} integrates multiple assays (e.g., RNA-seq, copy
1582 number, mutation, microRNA, protein, and others) with clinical / pathological
1583 data. It also links assay barcodes with patient identifiers, enabling
1584 harmonized subsetting of rows (features) and columns (patients / samples)
1585 across the entire multi-'omics experiment.")
1586 (license license:artistic2.0)))
1587
1588 (define-public r-parathyroidse
1589 (package
1590 (name "r-parathyroidse")
1591 (version "1.34.0")
1592 (source (origin
1593 (method url-fetch)
1594 (uri (bioconductor-uri "parathyroidSE" version
1595 'experiment))
1596 (sha256
1597 (base32
1598 "1h33x55c4gbzmh085skqif04wdcvjp2l9fm55qzwws27kwd30c16"))))
1599 (properties `((upstream-name . "parathyroidSE")))
1600 (build-system r-build-system)
1601 (propagated-inputs (list r-summarizedexperiment))
1602 (home-page "https://bioconductor.org/packages/parathyroidSE")
1603 (synopsis "RangedSummarizedExperiment for RNA-Seq of parathyroid tumors")
1604 (description
1605 "This package provides @code{RangedSummarizedExperiment} objects of read
1606 counts in genes and exonic parts for paired-end RNA-Seq data from experiments on
1607 primary cultures of parathyroid tumors. The sequencing was performed on tumor
1608 cultures from 4 patients at 2 time points over 3 conditions (DPN, OHT and control).")
1609 ;; The author(s) mentions only LGPL without any specific version.
1610 (license license:lgpl2.1+)))
1611
1612 (define-public r-tcgabiolinksgui-data
1613 (package
1614 (name "r-tcgabiolinksgui-data")
1615 (version "1.16.0")
1616 (source
1617 (origin
1618 (method url-fetch)
1619 (uri (bioconductor-uri "TCGAbiolinksGUI.data" version 'experiment))
1620 (sha256
1621 (base32 "1mb2z59acs1pi1gqvgjyh62wnmbxskc5l0p42gpjajsjip5x1x7g"))))
1622 (properties `((upstream-name . "TCGAbiolinksGUI.data")))
1623 (build-system r-build-system)
1624 (native-inputs (list r-knitr))
1625 (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinksGUI.data")
1626 (synopsis "Data for the TCGAbiolinksGUI package")
1627 (description "This package provides supporting data for the
1628 TCGAbiolinksGUI package.")
1629 (license license:gpl3)))
1630
1631 (define-public r-tximportdata
1632 (package
1633 (name "r-tximportdata")
1634 (version "1.24.0")
1635 (source (origin
1636 (method url-fetch)
1637 (uri (bioconductor-uri "tximportData" version
1638 'experiment))
1639 (sha256
1640 (base32
1641 "0mgbwpybg2xd6x1ijrflmjh5w63qz6ylnzszbbyp437n618m7riy"))))
1642 (properties `((upstream-name . "tximportData")))
1643 (build-system r-build-system)
1644 (native-inputs (list r-knitr))
1645 (home-page "https://bioconductor.org/packages/tximportData")
1646 (synopsis "Data for the tximport package")
1647 (description
1648 "This package provides the output of running various transcript abundance
1649 quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project. The
1650 quantifiers were @code{Cufflinks}, @code{RSEM}, @code{kallisto}, @code{Salmon}
1651 and @code{Sailfish}. Alevin example output is also included.")
1652 (license license:gpl2+)))
1653
1654
1655 \f
1656 ;;; Packages
1657
1658 (define-public r-abarray
1659 (package
1660 (name "r-abarray")
1661 (version "1.64.0")
1662 (source (origin
1663 (method url-fetch)
1664 (uri (bioconductor-uri "ABarray" version))
1665 (sha256
1666 (base32
1667 "0kjq00i2mb21xyjjs3jy09ps80f11cy37wywzjvmxyjxzbsk4d7r"))))
1668 (properties `((upstream-name . "ABarray")))
1669 (build-system r-build-system)
1670 (propagated-inputs (list r-biobase r-multtest))
1671 (home-page "https://bioconductor.org/packages/ABarray")
1672 (synopsis
1673 "Gene expression analysis for Applied Biosystems Genome Survey Microarray")
1674 (description
1675 "The package @code{ABarray} is designed to work with Applied Biosystems
1676 whole genome microarray platform, as well as any other platform whose data can
1677 be transformed into expression data matrix. Functions include data
1678 preprocessing, filtering, control probe analysis, statistical analysis in one
1679 single function. A @dfn{graphical user interface} (GUI) is also provided. The
1680 raw data, processed data, graphics output and statistical results are organized
1681 into folders according to the analysis settings used.")
1682 (license license:gpl2+)))
1683
1684 (define-public r-absseq
1685 (package
1686 (name "r-absseq")
1687 (version "1.50.0")
1688 (source (origin
1689 (method url-fetch)
1690 (uri (bioconductor-uri "ABSSeq" version))
1691 (sha256
1692 (base32
1693 "1kwl0gcqwbgblwvpbvqlgnsi91km77j11f0q1f0gd6hhnv38mmlv"))))
1694 (properties `((upstream-name . "ABSSeq")))
1695 (build-system r-build-system)
1696 (propagated-inputs (list r-limma r-locfit))
1697 (home-page "https://bioconductor.org/packages/ABSSeq")
1698 (synopsis
1699 "RNA-Seq analysis based on modelling absolute expression differences")
1700 (description
1701 "This package implements a new RNA-Seq analysis method and integrates two
1702 modules: a basic model for pairwise comparison and a linear model for complex
1703 design. RNA-Seq quantifies gene expression with reads count, which usually
1704 consists of conditions (or treatments) and several replicates for each
1705 condition. This software infers differential expression directly by the
1706 counts difference between conditions. It assumes that the sum counts
1707 difference between conditions follow a negative binomial distribution. In
1708 addition, @code{ABSSeq} moderates the fold-changes by two steps: the
1709 expression level and gene-specific dispersion, that might facilitate the gene
1710 ranking by fold-change and visualization.")
1711 (license license:gpl3+)))
1712
1713 (define-public r-adam
1714 (package
1715 (name "r-adam")
1716 (version "1.12.0")
1717 (source (origin
1718 (method url-fetch)
1719 (uri (bioconductor-uri "ADAM" version))
1720 (sha256
1721 (base32
1722 "1cgcjykik9hjrwlvvgaccprcrimgq5kwh9cj6367yk9m574a4gmn"))))
1723 (properties `((upstream-name . "ADAM")))
1724 (build-system r-build-system)
1725 (propagated-inputs (list r-dplyr
1726 r-dt
1727 r-go-db
1728 r-keggrest
1729 r-knitr
1730 r-pbapply
1731 r-rcpp
1732 r-stringr
1733 r-summarizedexperiment))
1734 (native-inputs (list r-knitr))
1735 (home-page "https://bioconductor.org/packages/ADAM")
1736 (synopsis "Gene activity and diversity analysis module")
1737 (description
1738 "This software @code{ADAM} is a @dfn{Gene set enrichment analysis} (GSEA)
1739 package created to group a set of genes from comparative samples (control
1740 versus experiment) belonging to different species according to their respective
1741 functions. The corresponding roles are extracted from the default collections
1742 like Gene ontology and @dfn{Kyoto encyclopedia of genes and genomes} (KEGG).
1743 @code{ADAM} show their significance by calculating the p-values referring to
1744 gene diversity and activity. Each group of genes is called @dfn{Group of
1745 functionally associated genes} (GFAG).")
1746 (license license:gpl2+)))
1747
1748 (define-public r-adamgui
1749 (package
1750 (name "r-adamgui")
1751 (version "1.12.0")
1752 (source (origin
1753 (method url-fetch)
1754 (uri (bioconductor-uri "ADAMgui" version))
1755 (sha256
1756 (base32
1757 "0vvd5qdwkfcr7zg7z63x3vvrcg63r6c9p383yvcg2lp8zmx8hsbs"))))
1758 (properties `((upstream-name . "ADAMgui")))
1759 (build-system r-build-system)
1760 (propagated-inputs
1761 (list r-adam
1762 r-colorramps
1763 r-data-table
1764 r-dplyr
1765 r-dt
1766 r-ggplot2
1767 r-ggpubr
1768 r-ggrepel
1769 r-ggsignif
1770 r-go-db
1771 r-gridextra
1772 r-knitr
1773 r-rcolorbrewer
1774 r-reshape2
1775 r-shiny
1776 r-shinyjs
1777 r-stringi
1778 r-stringr
1779 r-testthat
1780 r-varhandle))
1781 (native-inputs (list r-knitr))
1782 (home-page "https://bioconductor.org/packages/ADAMgui/")
1783 (synopsis "GUI for gene activity and diversity analysis")
1784 (description
1785 "This package @code{ADAMgui} is a @dfn{graphical user interface} (GUI)
1786 for the @code{ADAM} package. The @code{ADAMgui} package provides two
1787 shiny-based applications that allows the user to study the output of the
1788 @code{ADAM} package files through different plots. It's possible, for
1789 example, to choose a specific @dfn{group of functionally associated
1790 genes} (GFAG) and observe the gene expression behavior with the plots created
1791 with the @code{GFAGtargetUi} function. Features such as differential
1792 expression and fold change can be easily seen with aid of the plots made with
1793 the @code{GFAGpathUi} function.")
1794 (license license:gpl2+)))
1795
1796 (define-public r-adimpute
1797 (package
1798 (name "r-adimpute")
1799 (version "1.6.0")
1800 (source (origin
1801 (method url-fetch)
1802 (uri (bioconductor-uri "ADImpute" version))
1803 (sha256
1804 (base32
1805 "0885kd8mpmwjpzpx14pi6l3mqcvsixk10vkf5h4sqb7di0nnna4w"))))
1806 (properties `((upstream-name . "ADImpute")))
1807 (build-system r-build-system)
1808 (propagated-inputs
1809 (list r-biocparallel
1810 r-checkmate
1811 r-data-table
1812 r-drimpute
1813 r-kernlab
1814 r-mass
1815 r-matrix
1816 r-rsvd
1817 r-s4vectors
1818 r-saver
1819 r-singlecellexperiment
1820 r-summarizedexperiment))
1821 (native-inputs (list r-knitr))
1822 (home-page "https://bioconductor.org/packages/ADImpute")
1823 (synopsis "Adaptive computational prediction for dropout imputations")
1824 (description
1825 "@dfn{Single-cell RNA sequencing} (scRNA-seq) methods are typically
1826 unable to quantify the expression levels of all genes in a cell, creating a
1827 need for the computational prediction of missing values (dropout imputation).
1828 Most existing dropout imputation methods are limited in the sense that they
1829 exclusively use the scRNA-seq dataset at hand and do not exploit external
1830 gene-gene relationship information. The @code{ADImpute} package proposes two
1831 methods to address this issue:
1832
1833 @enumerate
1834 @item a gene regulatory network-based approach using gene-gene relationships
1835 learnt from external data;
1836 @item a baseline approach corresponding to a sample-wide average.
1837 @end enumerate
1838
1839 @code{ADImpute} implements these novel methods and also combines them with
1840 existing imputation methods like @code{DrImpute} and @code{SAVER}.
1841 @code{ADImpute} can learn the best performing method per gene and combine the
1842 results from different methods into an ensemble.")
1843 (license license:gpl3+)))
1844
1845 (define-public r-adsplit
1846 (package
1847 (name "r-adsplit")
1848 (version "1.66.0")
1849 (source (origin
1850 (method url-fetch)
1851 (uri (bioconductor-uri "adSplit" version))
1852 (sha256
1853 (base32
1854 "1wl2gd0b7krf485clw67cxayp0g9argklkzn8nw1vrkil0vvr4jm"))))
1855 (properties `((upstream-name . "adSplit")))
1856 (build-system r-build-system)
1857 (propagated-inputs
1858 (list r-annotationdbi
1859 r-biobase
1860 r-cluster
1861 r-go-db
1862 r-keggrest
1863 r-multtest))
1864 (home-page "https://compdiag.molgen.mpg.de/software/adSplit.shtml")
1865 (synopsis "Annotation-driven splits in microarray data")
1866 (description
1867 "This package implements clustering of microarray gene expression
1868 profiles according to functional annotations. For each term genes are
1869 annotated to, splits into two subclasses are computed and a significance of
1870 the supporting gene set is determined.")
1871 (license license:gpl2+)))
1872
1873 (define-public r-affixcan
1874 (package
1875 (name "r-affixcan")
1876 (version "1.14.0")
1877 (source (origin
1878 (method url-fetch)
1879 (uri (bioconductor-uri "AffiXcan" version))
1880 (sha256
1881 (base32
1882 "0wj9shzmlxpksbxny571xzfcmmqqzjlk1vq4mx1is2r6ma7jkblq"))))
1883 (properties `((upstream-name . "AffiXcan")))
1884 (build-system r-build-system)
1885 (propagated-inputs
1886 (list r-biocparallel
1887 r-crayon
1888 r-multiassayexperiment
1889 r-summarizedexperiment))
1890 (native-inputs (list r-knitr))
1891 (home-page "https://bioconductor.org/packages/AffiXcan")
1892 (synopsis "Functional approach to impute genetically regulated expression")
1893 (description
1894 "The @code{AffiXcan} package imputes a @dfn{genetically regulated
1895 expression} (GReX) for a set of genes in a sample of individuals, using a
1896 method based on the @dfn{total binding affinity} (TBA). Statistical models to
1897 impute GReX can be trained with a training dataset where the real total
1898 expression values are known.")
1899 (license license:gpl3)))
1900
1901 (define-public r-affyrnadegradation
1902 (package
1903 (name "r-affyrnadegradation")
1904 (version "1.42.0")
1905 (source (origin
1906 (method url-fetch)
1907 (uri (bioconductor-uri "AffyRNADegradation" version))
1908 (sha256
1909 (base32
1910 "16akwmpzwxai7ks5bvc1yyb9sx2scv9b9gas5avb0sk5fk0h3nsf"))))
1911 (properties `((upstream-name . "AffyRNADegradation")))
1912 (build-system r-build-system)
1913 (propagated-inputs (list r-affy))
1914 (home-page "https://bioconductor.org/packages/AffyRNADegradation")
1915 (synopsis
1916 "Analyze and correct probe positional bias in data due to RNA degradation")
1917 (description
1918 "The @code{AffyRNADegradation} package helps with the assessment and
1919 correction of RNA degradation effects in Affymetrix 3 expression arrays. The
1920 parameter @code{d} gives a robust and accurate measure of RNA integrity. The
1921 correction removes the probe positional bias, and thus improves comparability
1922 of samples that are affected by RNA degradation.")
1923 ;; the R file header specifies GPL2 or later
1924 (license license:gpl2+)))
1925
1926 (define-public r-agdex
1927 (package
1928 (name "r-agdex")
1929 (version "1.44.0")
1930 (source (origin
1931 (method url-fetch)
1932 (uri (bioconductor-uri "AGDEX" version))
1933 (sha256
1934 (base32
1935 "0c44fw5ajdjc13409rn3lsv0jhlqa2qcak9b1k8hpig486xxzsr9"))))
1936 (properties `((upstream-name . "AGDEX")))
1937 (build-system r-build-system)
1938 (propagated-inputs (list r-biobase r-gseabase))
1939 (home-page "https://bioconductor.org/packages/AGDEX")
1940 (synopsis
1941 "Evaluate agreement of differential expression for cross-species genomics")
1942 (description
1943 "The objective of @code{AGDEX} is to evaluate whether the results of a
1944 pair of two-group differential expression analysis comparisons show a level of
1945 agreement that is greater than expected if the group labels for each two-group
1946 comparison are randomly assigned. The agreement is evaluated for the entire
1947 transcriptome and (optionally) for a collection of pre-defined gene-sets.
1948 Additionally, the procedure performs permutation-based differential expression
1949 and meta analysis at both gene and gene-set levels of the data from each
1950 experiment.")
1951 (license license:gpl2+)))
1952
1953 (define-public r-aggregatebiovar
1954 (package
1955 (name "r-aggregatebiovar")
1956 (version "1.6.0")
1957 (source (origin
1958 (method url-fetch)
1959 (uri (bioconductor-uri "aggregateBioVar" version))
1960 (sha256
1961 (base32
1962 "0ngg12bgr95m4wm12scmrb55dgy4909c6qrg169l6dkng99v4nx1"))))
1963 (properties `((upstream-name . "aggregateBioVar")))
1964 (build-system r-build-system)
1965 (propagated-inputs
1966 (list r-matrix
1967 r-rlang
1968 r-s4vectors
1969 r-singlecellexperiment
1970 r-summarizedexperiment
1971 r-tibble))
1972 (native-inputs (list r-knitr))
1973 (home-page "https://github.com/jasonratcliff/aggregateBioVar")
1974 (synopsis "Differential gene expression analysis for multi-subject scRNA-seq")
1975 (description
1976 "This package @code{aggregateBioVar} contains tools to summarize single
1977 cell gene expression profiles at the level of subject for single cell RNA-seq
1978 data collected from more than one subject (e.g. biological sample or technical
1979 replicates). A @code{SingleCellExperiment} object is taken as input and
1980 converted to a list of @code{SummarizedExperiment} objects, where each list
1981 element corresponds to an assigned cell type. The @code{SummarizedExperiment}
1982 objects contain aggregate gene-by-subject count matrices and inter-subject
1983 column metadata for individual subjects that can be processed using downstream
1984 bulk RNA-seq tools.")
1985 (license license:gpl3)))
1986
1987 (define-public r-agilp
1988 (package
1989 (name "r-agilp")
1990 (version "3.28.0")
1991 (source (origin
1992 (method url-fetch)
1993 (uri (bioconductor-uri "agilp" version))
1994 (sha256
1995 (base32
1996 "1pm329y2nfcnx98ggxq0prdd5pxfcl5iylvsjjnhw5lyz1awg1yf"))))
1997 (properties `((upstream-name . "agilp")))
1998 (build-system r-build-system)
1999 (home-page "https://bioconductor.org/packages/agilp")
2000 (synopsis "Processing of Agilent expression array")
2001 (description
2002 "This package aims to provide a pipeline for the low-level analysis of
2003 gene expression microarray data, primarily focused on the Agilent platform,
2004 but which also provides utilities which may be useful for other platforms.")
2005 ;; Some files are under GPLv2+ but the combined work is released under the
2006 ;; GPLv3.
2007 (license license:gpl3)))
2008
2009 (define-public r-adductomicsr
2010 (package
2011 (name "r-adductomicsr")
2012 (version "1.12.0")
2013 (source (origin
2014 (method url-fetch)
2015 (uri (bioconductor-uri "adductomicsR" version))
2016 (sha256
2017 (base32
2018 "0623qf06xgdsyz0in2wnxwvpdw8kj6cnwf8vlqmgp7g0n3w701ys"))))
2019 (properties `((upstream-name . "adductomicsR")))
2020 (build-system r-build-system)
2021 (propagated-inputs
2022 (list r-adductdata
2023 r-ade4
2024 r-annotationhub
2025 r-bootstrap
2026 r-data-table
2027 r-dosnow
2028 r-dplyr
2029 r-dt
2030 r-experimenthub
2031 r-fastcluster
2032 r-foreach
2033 r-fpc
2034 r-mzr
2035 r-orgmassspecr
2036 r-pastecs
2037 r-pracma
2038 r-rcppeigen
2039 r-reshape2
2040 r-rvest
2041 r-smoother
2042 r-zoo))
2043 (native-inputs (list r-knitr))
2044 (home-page "https://bioconductor.org/packages/adductomicsR")
2045 (synopsis "Processing of adductomic mass spectral datasets")
2046 (description
2047 "This package @code{adductomicsR} processes data generated by the
2048 @dfn{second stage of mass spectrometry} (MS2) to identify potentially adducted
2049 peptides from spectra that has been corrected for mass drift and retention
2050 time drift and quantifies level mass spectral peaks from @dfn{first stage of
2051 mass spectrometry} (MS1) data.")
2052 (license license:artistic2.0)))
2053
2054 (define-public r-agimicrorna
2055 (package
2056 (name "r-agimicrorna")
2057 (version "2.46.0")
2058 (source (origin
2059 (method url-fetch)
2060 (uri (bioconductor-uri "AgiMicroRna" version))
2061 (sha256
2062 (base32
2063 "0jic89gyphbv7jzlfgm9bh1aq48lp86rq6hr34gsg9z0pa1192xa"))))
2064 (properties `((upstream-name . "AgiMicroRna")))
2065 (build-system r-build-system)
2066 (propagated-inputs
2067 (list r-affy
2068 r-affycoretools
2069 r-biobase
2070 r-limma
2071 r-preprocesscore))
2072 (home-page "https://git.bioconductor.org/packages/AgiMicroRna")
2073 (synopsis
2074 "Processing and differential expression analysis of Agilent microRNA chips")
2075 (description
2076 "@code{AgiMicroRna} provides useful functionality for the processing,
2077 quality assessment and differential expression analysis of Agilent microRNA
2078 array data. The package uses a limma-like structure to generate the processed
2079 data in order to make statistical inferences about differential expression
2080 using the linear model features implemented in limma. Standard Bioconductor
2081 objects are used so that other packages could be used as well.")
2082 (license license:gpl3)))
2083
2084 (define-public r-amountain
2085 (package
2086 (name "r-amountain")
2087 (version "1.22.0")
2088 (source (origin
2089 (method url-fetch)
2090 (uri (bioconductor-uri "AMOUNTAIN" version))
2091 (sha256
2092 (base32
2093 "0vdfabsrisdd7qq28f5ivd0v8zz49szqn677i5lhwnlaix220c54"))))
2094 (properties `((upstream-name . "AMOUNTAIN")))
2095 (build-system r-build-system)
2096 (inputs (list gsl))
2097 (native-inputs (list r-knitr))
2098 (home-page "https://bioconductor.org/packages/AMOUNTAIN")
2099 (synopsis "Modules for multilayer weighted gene co-expression networks")
2100 (description
2101 "This package provides a pure data-driven gene network, @dfn{WGCN}(weighted
2102 gene co-expression network) could be constructed only from expression profile.
2103 Different layers in such networks may represent different time points, multiple
2104 conditions or various species. @code{AMOUNTAIN} aims to search active modules
2105 in multi-layer WGCN using a continuous optimization approach.")
2106 (license license:gpl2+)))
2107
2108 (define-public r-amaretto
2109 (package
2110 (name "r-amaretto")
2111 (version "1.12.0")
2112 (source (origin
2113 (method url-fetch)
2114 (uri (bioconductor-uri "AMARETTO" version))
2115 (sha256
2116 (base32
2117 "111dk19b9910icksyr592cvhc5gwvgknr5q4887j9yxbajd7hcmx"))))
2118 (properties `((upstream-name . "AMARETTO")))
2119 (build-system r-build-system)
2120 (propagated-inputs
2121 (list r-biocfilecache
2122 r-callr
2123 r-circlize
2124 r-complexheatmap
2125 r-curatedtcgadata
2126 r-doparallel
2127 r-dplyr
2128 r-dt
2129 r-foreach
2130 r-ggplot2
2131 r-glmnet
2132 r-gridextra
2133 r-httr
2134 r-impute
2135 r-knitr
2136 r-limma
2137 r-matrix
2138 r-matrixstats
2139 r-multiassayexperiment
2140 r-rcpp
2141 r-readr
2142 r-reshape2
2143 r-rmarkdown
2144 r-tibble))
2145 (native-inputs (list r-knitr))
2146 (home-page "https://bioconductor.org/packages/AMARETTO")
2147 (synopsis "Regulatory network inference and driver gene evaluation")
2148 (description
2149 "This package @code{AMARETTO} represents an algorithm that integrates copy
2150 number, DNA methylation and gene expression data to identify a set of driver
2151 genes by analyzing cancer samples and connects them to clusters of co-expressed
2152 genes, which we define as modules. @code{AMARETTO} can be applied in a pancancer
2153 setting to identify cancer driver genes and their modules on multiple cancer
2154 sites. @code{AMARETTO} captures modules enriched in angiogenesis, cell cycle
2155 and EMT, and modules that accurately predict survival and molecular subtypes.
2156 This allows @code{AMARETTO} to identify novel cancer driver genes directing
2157 canonical cancer pathways.")
2158 (license license:asl2.0)))
2159
2160 (define-public r-anaquin
2161 (package
2162 (name "r-anaquin")
2163 (version "2.20.0")
2164 (source (origin
2165 (method url-fetch)
2166 (uri (bioconductor-uri "Anaquin" version))
2167 (sha256
2168 (base32
2169 "1jgpnls2djl1yzvnk64qc83mljmlci7wflwkza3wr0sv6r47b0dd"))))
2170 (properties `((upstream-name . "Anaquin")))
2171 (build-system r-build-system)
2172 (propagated-inputs
2173 (list r-deseq2
2174 r-ggplot2
2175 r-knitr
2176 r-locfit
2177 r-plyr
2178 r-qvalue
2179 r-rocr))
2180 (native-inputs (list r-knitr))
2181 (home-page "https://www.sequinstandards.com/")
2182 (synopsis "Statistical analysis of sequins")
2183 (description
2184 "The project is intended to support the use of @dfn{sequins}(synthetic
2185 sequencing spike-in controls) owned and made available by the Garvan Institute
2186 of Medical Research. The goal is to provide a standard library for quantitative
2187 analysis, modelling, and visualization of spike-in controls.")
2188 (license license:bsd-3)))
2189
2190 (define-public r-aneufinder
2191 (package
2192 (name "r-aneufinder")
2193 (version "1.24.0")
2194 (source (origin
2195 (method url-fetch)
2196 (uri (bioconductor-uri "AneuFinder" version))
2197 (sha256
2198 (base32
2199 "1acsp987jv2x4qwbgy3y7ff4r2qz7680b0nbr37m4lmncqfgh8yl"))))
2200 (build-system r-build-system)
2201 (native-inputs
2202 (list r-knitr))
2203 (propagated-inputs
2204 (list r-genomicranges
2205 r-aneufinderdata
2206 r-ecp
2207 r-foreach
2208 r-doparallel
2209 r-biocgenerics
2210 r-s4vectors
2211 r-genomeinfodb
2212 r-iranges
2213 r-rsamtools
2214 r-bamsignals
2215 r-dnacopy
2216 r-biostrings
2217 r-genomicalignments
2218 r-ggplot2
2219 r-reshape2
2220 r-ggdendro
2221 r-ggrepel
2222 r-reordercluster
2223 r-mclust
2224 r-cowplot))
2225 (home-page "https://bioconductor.org/packages/AneuFinder/")
2226 (synopsis "Copy number variation analysis in single-cell-sequencing data")
2227 (description "This package implements functions for copy number variant
2228 calling, plotting, export and analysis from whole-genome single cell
2229 sequencing data.")
2230 (license license:artistic2.0)))
2231
2232 (define-public r-anf
2233 (package
2234 (name "r-anf")
2235 (version "1.18.0")
2236 (source (origin
2237 (method url-fetch)
2238 (uri (bioconductor-uri "ANF" version))
2239 (sha256
2240 (base32
2241 "1fa2pbdapymrpz01ws0m2fbzf11d723x6rbsys29v06is57f5lpj"))))
2242 (properties `((upstream-name . "ANF")))
2243 (build-system r-build-system)
2244 (propagated-inputs
2245 (list r-biobase
2246 r-igraph
2247 r-mass
2248 r-rcolorbrewer
2249 r-survival))
2250 (native-inputs (list r-knitr))
2251 (home-page "https://bioconductor.org/packages/ANF")
2252 (synopsis "Affinity network fusion for complex patient clustering")
2253 (description
2254 "The package @dfn{ANF}(Affinity Network Fusion) provides methods for affinity
2255 matrix construction and fusion as well as spectral clustering. This package is
2256 used for complex patient clustering by integrating multi-omic data through affinity
2257 network fusion.")
2258 (license license:gpl3)))
2259
2260 (define-public r-annmap
2261 (package
2262 (name "r-annmap")
2263 (version "1.38.0")
2264 (source (origin
2265 (method url-fetch)
2266 (uri (bioconductor-uri "annmap" version))
2267 (sha256
2268 (base32
2269 "0ywqbb8jia7rrkzcsf6a11kqf8dnx96z8n8xw7067mahycykbixv"))))
2270 (properties `((upstream-name . "annmap")))
2271 (build-system r-build-system)
2272 (propagated-inputs
2273 (list r-biobase
2274 r-biocgenerics
2275 r-dbi
2276 r-digest
2277 r-genefilter
2278 r-genomicranges
2279 r-iranges
2280 r-lattice
2281 r-rmysql
2282 r-rsamtools))
2283 (home-page "https://github.com/cruk-mi/annmap")
2284 (synopsis
2285 "Genome annotation and visualisation for Affymetrix arrays and NGS analysis")
2286 (description
2287 "This package @code{annmap} provides annotation mappings for Affymetrix exon
2288 arrays and coordinate based queries to support deep sequencing data analysis.
2289 Database access is hidden behind the API which provides a set of functions such
2290 as @code{genesInRange()}, @code{geneToExon()}, @code{exonDetails()}, etc.
2291 Functions to plot gene architecture and BAM file data are also provided.")
2292 (license license:gpl2)))
2293
2294 (define-public r-antiprofiles
2295 (package
2296 (name "r-antiprofiles")
2297 (version "1.36.0")
2298 (source (origin
2299 (method url-fetch)
2300 (uri (bioconductor-uri "antiProfiles" version))
2301 (sha256
2302 (base32
2303 "1277kg5xpyb2yriyjy18p437q5lj22h4al7z7pygkzxzywxv9g40"))))
2304 (properties `((upstream-name . "antiProfiles")))
2305 (build-system r-build-system)
2306 (propagated-inputs
2307 (list r-locfit
2308 r-matrixstats))
2309 (home-page "https://github.com/HCBravoLab/antiProfiles")
2310 (synopsis "Implementation of gene expression anti-profiles")
2311 (description
2312 "This package implements the gene expression anti-profiles method.
2313 Anti-profiles are a new approach for developing cancer genomic signatures that
2314 specifically take advantage of gene expression heterogeneity. They explicitly
2315 model increased gene expression variability in cancer to define robust and
2316 reproducible gene expression signatures capable of accurately distinguishing
2317 tumor samples from healthy controls.")
2318 (license license:artistic2.0)))
2319
2320 (define-public r-atsnp
2321 (package
2322 (name "r-atsnp")
2323 (version "1.12.0")
2324 (source (origin
2325 (method url-fetch)
2326 (uri (bioconductor-uri "atSNP" version))
2327 (sha256
2328 (base32
2329 "0dmv34xqwr3l2rznapxmyrkyf1w78qzxdv88s5nn8s1m8qdkgwkz"))))
2330 (properties `((upstream-name . "atSNP")))
2331 (build-system r-build-system)
2332 (propagated-inputs
2333 (list r-biocfilecache
2334 r-biocparallel
2335 r-bsgenome
2336 r-data-table
2337 r-ggplot2
2338 r-lifecycle
2339 r-motifstack
2340 r-rappdirs
2341 r-rcpp
2342 r-testthat))
2343 (native-inputs (list r-knitr))
2344 (home-page "https://github.com/sunyoungshin/atSNP")
2345 (synopsis
2346 "Affinity test for identifying regulatory single nucleotide polymorphisms")
2347 (description
2348 "The atSNP package performs affinity tests of motif matches with the
2349 @dfn{SNP} (single nucleotide polymorphism) or the reference genomes and
2350 SNP-led changes in motif matches.")
2351 (license license:gpl2)))
2352
2353 (define-public r-attract
2354 (package
2355 (name "r-attract")
2356 (version "1.48.0")
2357 (source (origin
2358 (method url-fetch)
2359 (uri (bioconductor-uri "attract" version))
2360 (sha256
2361 (base32
2362 "0f1fsv278kpnxvqg9qa5rw2k3zr8zws0ab73ldl60h6pv9cy8x82"))))
2363 (properties `((upstream-name . "attract")))
2364 (build-system r-build-system)
2365 (propagated-inputs
2366 (list r-annotationdbi
2367 r-biobase
2368 r-cluster
2369 r-gostats
2370 r-keggrest
2371 r-limma
2372 r-org-hs-eg-db
2373 r-reactome-db))
2374 (home-page "https://bioconductor.org/packages/attract")
2375 (synopsis "Finding drivers of Kauffman's attractor landscape")
2376 (description
2377 "This package contains the functions to find the gene expression modules
2378 that represent the drivers of Kauffman's attractor landscape. The modules are
2379 the core attractor pathways that discriminate between different cell types of
2380 groups of interest. Each pathway has a set of synexpression groups, which show
2381 transcriptionally-coordinated changes in gene expression.")
2382 (license license:lgpl2.0+)))
2383
2384 (define-public r-awfisher
2385 (package
2386 (name "r-awfisher")
2387 (version "1.10.0")
2388 (source (origin
2389 (method url-fetch)
2390 (uri (bioconductor-uri "AWFisher" version))
2391 (sha256
2392 (base32
2393 "050k7w0azsl7rqx2pxgccihzc2q8pmh6fyy4gib2d42sdyijr2n1"))))
2394 (properties `((upstream-name . "AWFisher")))
2395 (build-system r-build-system)
2396 (propagated-inputs
2397 (list r-edger
2398 r-limma))
2399 (native-inputs (list r-knitr))
2400 (home-page "https://bioconductor.org/packages/AWFisher")
2401 (synopsis "Fast computing for adaptively weighted fisher's method")
2402 (description
2403 "This package is an implementation of the Adaptively Weighted Fisher's
2404 method, including fast p-value computing, variability index, and
2405 meta-pattern.")
2406 (license license:gpl3)))
2407
2408 (define-public r-awst
2409 (package
2410 (name "r-awst")
2411 (version "1.4.0")
2412 (source (origin
2413 (method url-fetch)
2414 (uri (bioconductor-uri "awst" version))
2415 (sha256
2416 (base32
2417 "0iw3zycmj95rmdx7f2w0j4yxkzd90y87lrzgdn9cyvvzi5avflav"))))
2418 (properties `((upstream-name . "awst")))
2419 (build-system r-build-system)
2420 (propagated-inputs (list r-summarizedexperiment))
2421 (native-inputs (list r-knitr))
2422 (home-page "https://github.com/drisso/awst")
2423 (synopsis "Asymmetric within-sample transformation")
2424 (description
2425 "This package @dfn{awst} (Asymmetric Within-Sample Transformation) that
2426 regularizes RNA-seq read counts and reduces the effect of noise on the
2427 classification of samples. AWST comprises two main steps: standardization and
2428 smoothing. These steps transform gene expression data to reduce the noise of
2429 the lowly expressed features, which suffer from background effects and low
2430 signal-to-noise ratio, and the influence of the highly expressed features,
2431 which may be the result of amplification bias and other experimental
2432 artifacts.")
2433 (license license:expat)))
2434
2435 (define-public r-baalchip
2436 (package
2437 (name "r-baalchip")
2438 (version "1.22.0")
2439 (source (origin
2440 (method url-fetch)
2441 (uri (bioconductor-uri "BaalChIP" version))
2442 (sha256
2443 (base32
2444 "02qwk9n2fyg5f9xxjiiha9mi6p9ii3zi5x7w84sh5d5g58s27g6q"))))
2445 (properties `((upstream-name . "BaalChIP")))
2446 (build-system r-build-system)
2447 (inputs (list perl)) ; extra/get.overlaps.v2_chrXY.perl
2448 (propagated-inputs
2449 (list r-coda
2450 r-doby
2451 r-doparallel
2452 r-foreach
2453 r-genomeinfodb
2454 r-genomicalignments
2455 r-genomicranges
2456 r-ggplot2
2457 r-iranges
2458 r-reshape2
2459 r-rsamtools
2460 r-scales))
2461 (native-inputs (list r-knitr))
2462 (home-page "https://bioconductor.org/packages/BaalChIP")
2463 (synopsis
2464 "Analysis of allele-specific transcription factor binding in cancer genomes")
2465 (description
2466 "This package offers functions to process multiple @code{ChIP-seq BAM}
2467 files and detect allele-specific events. It computes allele counts at
2468 individual variants (SNPs/SNVs), implements extensive @dfn{QC} (quality
2469 control) steps to remove problematic variants, and utilizes a Bayesian
2470 framework to identify statistically significant allele-specific events.
2471 BaalChIP is able to account for copy number differences between the two
2472 alleles, a known phenotypical feature of cancer samples.")
2473 (license license:artistic2.0)))
2474
2475 (define-public r-basespacer
2476 (package
2477 (name "r-basespacer")
2478 (version "1.40.0")
2479 (source (origin
2480 (method url-fetch)
2481 (uri (bioconductor-uri "BaseSpaceR" version))
2482 (sha256
2483 (base32
2484 "0jyw4pnybsd6ywpaamk5ywkrcib2z48farsnszmwq97zlbmra7fj"))))
2485 (properties `((upstream-name . "BaseSpaceR")))
2486 (build-system r-build-system)
2487 (propagated-inputs (list r-rcurl r-rjsonio))
2488 (home-page "https://bioconductor.org/packages/BaseSpaceR")
2489 (synopsis "R SDK for BaseSpace RESTful API")
2490 (description
2491 "This package provides an R interface to Illumina's BaseSpace cloud
2492 computing environment, enabling the fast development of data analysis and
2493 visualization tools. Besides providing an easy to use set of tools for
2494 manipulating the data from BaseSpace, it also facilitates the access to R's
2495 rich environment of statistical and data analysis tools.")
2496 (license license:asl2.0)))
2497
2498 (define-public r-bac
2499 (package
2500 (name "r-bac")
2501 (version "1.56.0")
2502 (source (origin
2503 (method url-fetch)
2504 (uri (bioconductor-uri "BAC" version))
2505 (sha256
2506 (base32
2507 "0dkw7438d2sf6nb577dnzija54qs0nhlr47lb73li60fhlnvqmh2"))))
2508 (properties `((upstream-name . "BAC")))
2509 (build-system r-build-system)
2510 (home-page "https://bioconductor.org/packages/BAC")
2511 (synopsis "Bayesian analysis of Chip-chip experiment")
2512 (description
2513 "This package uses a Bayesian hierarchical model to detect enriched
2514 regions from ChIP-chip experiments. The common goal in analyzing this
2515 ChIP-chip data is to detect DNA-protein interactions from ChIP-chip
2516 experiments. The BAC package has mainly been tested with Affymetrix tiling
2517 array data. However, we expect it to work with other platforms (e.g. Agilent,
2518 Nimblegen, cDNA, etc.). Note that BAC does not deal with normalization, so
2519 you will have to normalize your data beforehand.")
2520 (license license:artistic2.0)))
2521
2522 (define-public r-bader
2523 (package
2524 (name "r-bader")
2525 (version "1.34.0")
2526 (source (origin
2527 (method url-fetch)
2528 (uri (bioconductor-uri "BADER" version))
2529 (sha256
2530 (base32
2531 "0i5x1r2ns1hxhqk5jyfqird81hck1hllvvgx5bn0rb5vl99g8spm"))))
2532 (properties `((upstream-name . "BADER")))
2533 (build-system r-build-system)
2534 (home-page "https://bioconductor.org/packages/BADER")
2535 (synopsis
2536 "Bayesian analysis of differential expression in RNA sequencing data")
2537 (description
2538 "The BADER package is intended for the analysis of RNA sequencing data.
2539 The algorithm fits a Bayesian hierarchical model for RNA sequencing count
2540 data. BADER returns the posterior probability of differential expression for
2541 each gene between two groups A and B. The joint posterior distribution of the
2542 variables in the model can be returned in the form of posterior samples, which
2543 can be used for further down-stream analyses such as gene set enrichment.")
2544 (license license:gpl2)))
2545
2546 (define-public r-badregionfinder
2547 (package
2548 (name "r-badregionfinder")
2549 (version "1.24.0")
2550 (source (origin
2551 (method url-fetch)
2552 (uri (bioconductor-uri "BadRegionFinder" version))
2553 (sha256
2554 (base32
2555 "1a1pqmh5ak9s3k1lxw6flanchk24zyznwm34ixi2b78wdc3hqgm9"))))
2556 (properties `((upstream-name . "BadRegionFinder")))
2557 (build-system r-build-system)
2558 (propagated-inputs
2559 (list r-biomart
2560 r-genomicranges
2561 r-rsamtools
2562 r-s4vectors
2563 r-variantannotation))
2564 (home-page "https://bioconductor.org/packages/BadRegionFinder")
2565 (synopsis "Identifying regions with bad coverage in sequence alignment data")
2566 (description
2567 "BadRegionFinder is a package for identifying regions with a bad,
2568 acceptable and good coverage in sequence alignment data available as bam
2569 files. The whole genome may be considered as well as a set of target regions.
2570 Various visual and textual types of output are available.")
2571 (license license:lgpl3)))
2572
2573 (define-public r-bambu
2574 (package
2575 (name "r-bambu")
2576 (version "2.2.0")
2577 (source (origin
2578 (method url-fetch)
2579 (uri (bioconductor-uri "bambu" version))
2580 (sha256
2581 (base32
2582 "0dc2hpnykr575jbrq9whmdabknl70s2hcs6gkmkl4kpv7xfqdq6w"))))
2583 (properties `((upstream-name . "bambu")))
2584 (build-system r-build-system)
2585 (propagated-inputs
2586 (list r-biocgenerics
2587 r-biocparallel
2588 r-bsgenome
2589 r-data-table
2590 r-dplyr
2591 r-genomeinfodb
2592 r-genomicalignments
2593 r-genomicfeatures
2594 r-genomicranges
2595 r-iranges
2596 r-rcpp
2597 r-rcpparmadillo
2598 r-rsamtools
2599 r-s4vectors
2600 r-summarizedexperiment
2601 r-tidyr
2602 r-xgboost))
2603 (native-inputs (list r-knitr))
2604 (home-page "https://github.com/GoekeLab/bambu")
2605 (synopsis
2606 "Isoform reconstruction and quantification for long read RNA-Seq data")
2607 (description
2608 "This R package is for multi-sample transcript discovery and
2609 quantification using long read RNA-Seq data. You can use bambu after read
2610 alignment to obtain expression estimates for known and novel transcripts and
2611 genes. The output from bambu can directly be used for visualisation and
2612 downstream analysis, such as differential gene expression or transcript
2613 usage.")
2614 (license license:gpl3)))
2615
2616 (define-public r-bandits
2617 (package
2618 (name "r-bandits")
2619 (version "1.12.0")
2620 (source (origin
2621 (method url-fetch)
2622 (uri (bioconductor-uri "BANDITS" version))
2623 (sha256
2624 (base32
2625 "1423djb7cij68y0q2dcp8q7lrcn2fxjn6d25v4qy3w00b2w8ppg9"))))
2626 (properties `((upstream-name . "BANDITS")))
2627 (build-system r-build-system)
2628 (propagated-inputs
2629 (list r-biocparallel
2630 r-data-table
2631 r-doparallel
2632 r-dorng
2633 r-drimseq
2634 r-foreach
2635 r-ggplot2
2636 r-mass
2637 r-r-utils
2638 r-rcpp
2639 r-rcpparmadillo))
2640 (native-inputs (list r-knitr))
2641 (home-page "https://github.com/SimoneTiberi/BANDITS")
2642 (synopsis "Bayesian analysis of differential splicing")
2643 (description
2644 "BANDITS is a Bayesian hierarchical model for detecting differential
2645 splicing of genes and transcripts, via @dfn{DTU} (differential transcript
2646 usage), between two or more conditions. The method uses a Bayesian
2647 hierarchical framework, which allows for sample specific proportions in a
2648 Dirichlet-Multinomial model, and samples the allocation of fragments to the
2649 transcripts. Parameters are inferred via @dfn{MCMC} (Markov chain Monte
2650 Carlo) techniques and a DTU test is performed via a multivariate Wald test on
2651 the posterior densities for the average relative abundance of transcripts.")
2652 (license license:gpl3+)))
2653
2654 (define-public r-banocc
2655 (package
2656 (name "r-banocc")
2657 (version "1.20.0")
2658 (source (origin
2659 (method url-fetch)
2660 (uri (bioconductor-uri "banocc" version))
2661 (sha256
2662 (base32
2663 "10vaggq1w5jkxd8r2k1mhymzvb7x3h8afwn2pvmcpj022ka7xhbx"))))
2664 (properties `((upstream-name . "banocc")))
2665 (build-system r-build-system)
2666 (propagated-inputs
2667 (list r-coda
2668 r-mvtnorm
2669 r-rstan
2670 r-stringr))
2671 (native-inputs (list r-knitr))
2672 (home-page "https://bioconductor.org/packages/banocc")
2673 (synopsis "Bayesian analysis of compositional covariance")
2674 (description
2675 "BAnOCC is a package designed for compositional data, where each sample
2676 sums to one. It infers the approximate covariance of the unconstrained data
2677 using a Bayesian model coded with @code{rstan}. It provides as output the
2678 @code{stanfit} object as well as posterior median and credible interval
2679 estimates for each correlation element.")
2680 (license license:expat)))
2681
2682 (define-public r-barcodetrackr
2683 (package
2684 (name "r-barcodetrackr")
2685 (version "1.4.0")
2686 (source (origin
2687 (method url-fetch)
2688 (uri (bioconductor-uri "barcodetrackR" version))
2689 (sha256
2690 (base32
2691 "0yxa15xkgqazw31vq4wm8v747bw4qb18m6i602pvynk0n5bgg3d3"))))
2692 (properties `((upstream-name . "barcodetrackR")))
2693 (build-system r-build-system)
2694 (propagated-inputs
2695 (list r-circlize
2696 r-cowplot
2697 r-dplyr
2698 r-ggdendro
2699 r-ggplot2
2700 r-ggridges
2701 r-magrittr
2702 r-plyr
2703 r-proxy
2704 r-rcolorbrewer
2705 r-rlang
2706 r-s4vectors
2707 r-scales
2708 r-shiny
2709 r-summarizedexperiment
2710 r-tibble
2711 r-tidyr
2712 r-vegan
2713 r-viridis))
2714 (native-inputs (list r-knitr))
2715 (home-page "https://github.com/dunbarlabNIH/barcodetrackR")
2716 (synopsis "Functions for analyzing cellular barcoding data")
2717 (description
2718 "This package is developed for the analysis and visualization of clonal
2719 tracking data. The required data is formed by samples and tag abundances in
2720 matrix form, usually from cellular barcoding experiments, integration site
2721 retrieval analyses, or similar technologies.")
2722 (license license:cc0)))
2723
2724 (define-public r-biocversion
2725 (package
2726 (name "r-biocversion")
2727 (version "3.15.2")
2728 (source
2729 (origin
2730 (method url-fetch)
2731 (uri (bioconductor-uri "BiocVersion" version))
2732 (sha256
2733 (base32
2734 "0rs4nyza4hqqk204d037gi013135wgfhx5asq2dsdjc9vk5nwzfn"))))
2735 (properties `((upstream-name . "BiocVersion")))
2736 (build-system r-build-system)
2737 (home-page "https://bioconductor.org/packages/BiocVersion/")
2738 (synopsis "Set the appropriate version of Bioconductor packages")
2739 (description
2740 "This package provides repository information for the appropriate version
2741 of Bioconductor.")
2742 (license license:artistic2.0)))
2743
2744 (define-public r-biocgenerics
2745 (package
2746 (name "r-biocgenerics")
2747 (version "0.42.0")
2748 (source (origin
2749 (method url-fetch)
2750 (uri (bioconductor-uri "BiocGenerics" version))
2751 (sha256
2752 (base32
2753 "0iv9bnpw2hycndwbmjsszqfwrksz6dfr6qcz78jkssc9ldsgmdhc"))))
2754 (properties
2755 `((upstream-name . "BiocGenerics")))
2756 (build-system r-build-system)
2757 (home-page "https://bioconductor.org/packages/BiocGenerics")
2758 (synopsis "S4 generic functions for Bioconductor")
2759 (description
2760 "This package provides S4 generic functions needed by many Bioconductor
2761 packages.")
2762 (license license:artistic2.0)))
2763
2764 (define-public r-coverageview
2765 (package
2766 (name "r-coverageview")
2767 (version "1.34.0")
2768 (source (origin
2769 (method url-fetch)
2770 (uri (bioconductor-uri "CoverageView" version))
2771 (sha256
2772 (base32
2773 "0mh66l4yh6rpd1r7qbqwh5jkklqyvpfiap0zcqhz9kimssm2pbbp"))))
2774 (build-system r-build-system)
2775 (propagated-inputs
2776 (list r-s4vectors
2777 r-iranges
2778 r-genomicranges
2779 r-genomicalignments
2780 r-rtracklayer
2781 r-rsamtools))
2782 (home-page "https://bioconductor.org/packages/CoverageView/")
2783 (synopsis "Coverage visualization package for R")
2784 (description "This package provides a framework for the visualization of
2785 genome coverage profiles. It can be used for ChIP-seq experiments, but it can
2786 be also used for genome-wide nucleosome positioning experiments or other
2787 experiment types where it is important to have a framework in order to inspect
2788 how the coverage distributed across the genome.")
2789 (license license:artistic2.0)))
2790
2791 (define-public r-cummerbund
2792 (package
2793 (name "r-cummerbund")
2794 (version "2.38.0")
2795 (source (origin
2796 (method url-fetch)
2797 (uri (bioconductor-uri "cummeRbund" version))
2798 (sha256
2799 (base32
2800 "1p4anmi436zykp0ir307g75g23kj8b7shxg4r65qq6zdwflphm0q"))))
2801 (build-system r-build-system)
2802 (propagated-inputs
2803 (list r-biobase
2804 r-biocgenerics
2805 r-fastcluster
2806 r-ggplot2
2807 r-gviz
2808 r-plyr
2809 r-reshape2
2810 r-rsqlite
2811 r-rtracklayer
2812 r-s4vectors))
2813 (home-page "https://bioconductor.org/packages/cummeRbund/")
2814 (synopsis "Analyze Cufflinks high-throughput sequencing data")
2815 (description "This package allows for persistent storage, access,
2816 exploration, and manipulation of Cufflinks high-throughput sequencing
2817 data. In addition, provides numerous plotting functions for commonly
2818 used visualizations.")
2819 (license license:artistic2.0)))
2820
2821 (define-public r-dearseq
2822 (package
2823 (name "r-dearseq")
2824 (version "1.8.4")
2825 (source
2826 (origin
2827 (method url-fetch)
2828 (uri (bioconductor-uri "dearseq" version))
2829 (sha256
2830 (base32
2831 "1zsqsgf243gq1k57mw11d6apzccnq531mwg2wzw9mjrs1m0jsfzl"))))
2832 (build-system r-build-system)
2833 (propagated-inputs
2834 (list r-compquadform
2835 r-dplyr
2836 r-ggplot2
2837 r-kernsmooth
2838 r-magrittr
2839 r-matrixstats
2840 r-patchwork
2841 r-pbapply
2842 r-reshape2
2843 r-rlang
2844 r-statmod
2845 r-survey
2846 r-tibble
2847 r-viridislite))
2848 (native-inputs
2849 (list r-knitr))
2850 (home-page "https://github.com/borishejblum/dearseq")
2851 (synopsis "DEA for RNA-seq data through a robust variance component test")
2852 (description
2853 "This is a package for Differential Expression Analysis of RNA-seq data.
2854 It features a variance component score test accounting for data
2855 heteroscedasticity through precision weights. Perform both gene-wise and gene
2856 set analyses, and can deal with repeated or longitudinal data.")
2857 (license license:gpl2)))
2858
2859 (define-public r-decipher
2860 (package
2861 (name "r-decipher")
2862 (version "2.24.0")
2863 (source (origin
2864 (method url-fetch)
2865 (uri (bioconductor-uri "DECIPHER" version))
2866 (sha256
2867 (base32
2868 "045q2bfzgq1yzhyrzvrhrnmlpka4gikrajxxwv05szksy5nvp7q5"))))
2869 (build-system r-build-system)
2870 (propagated-inputs
2871 (list r-biostrings
2872 r-dbi
2873 r-iranges
2874 r-rsqlite
2875 r-s4vectors
2876 r-xvector))
2877 (home-page "https://www.bioconductor.org/packages/DECIPHER/")
2878 (synopsis "Tools for deciphering and managing biological sequences")
2879 (description "This package provides a toolset for deciphering and managing
2880 biological sequences.")
2881 (license license:gpl3)))
2882
2883 (define-public r-deconvr
2884 (package
2885 (name "r-deconvr")
2886 (version "1.2.0")
2887 (source (origin
2888 (method url-fetch)
2889 (uri (bioconductor-uri "deconvR" version))
2890 (sha256
2891 (base32
2892 "091z3lncamscsvzj63zzbw7dr7vnkn0jwfkm5ljq4112w4rxgrm3"))))
2893 (properties `((upstream-name . "deconvR")))
2894 (build-system r-build-system)
2895 (propagated-inputs
2896 (list r-assertthat
2897 r-biocgenerics
2898 r-data-table
2899 r-dplyr
2900 r-e1071
2901 r-foreach
2902 r-genomicranges
2903 r-iranges
2904 r-magrittr
2905 r-mass
2906 r-matrixstats
2907 r-methylkit
2908 r-nnls
2909 r-quadprog
2910 r-rsq
2911 r-s4vectors
2912 r-tidyr))
2913 (native-inputs (list r-knitr))
2914 (home-page "https://github.com/BIMSBbioinfo/deconvR")
2915 (synopsis "Simulation and deconvolution of omic profiles")
2916 (description
2917 "This package provides a collection of functions designed for analyzing
2918 deconvolution of the bulk sample(s) using an atlas of reference omic signature
2919 profiles and a user-selected model. Users are given the option to create or
2920 extend a reference atlas and,also simulate the desired size of the bulk
2921 signature profile of the reference cell types. The package includes the
2922 cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can
2923 be used in deconvolution. Additionally, we included @code{BSmeth2Probe}, to
2924 make mapping WGBS data to their probe IDs easier.")
2925 (license license:artistic2.0)))
2926
2927 (define-public r-decoupler
2928 (package
2929 (name "r-decoupler")
2930 (version "2.2.2")
2931 (source
2932 (origin
2933 (method url-fetch)
2934 (uri (bioconductor-uri "decoupleR" version))
2935 (sha256
2936 (base32 "0q1w8yw3bwx8ai5z8rw8lz97w4cplxijq93634hza2vgkig1ck9m"))))
2937 (properties `((upstream-name . "decoupleR")))
2938 (build-system r-build-system)
2939 (propagated-inputs
2940 (list r-broom
2941 r-dplyr
2942 r-magrittr
2943 r-matrix
2944 r-purrr
2945 r-rlang
2946 r-stringr
2947 r-tibble
2948 r-tidyr
2949 r-tidyselect
2950 r-withr))
2951 (native-inputs (list r-knitr))
2952 (home-page "https://saezlab.github.io/decoupleR/")
2953 (synopsis "Computational methods to infer biological activities from omics data")
2954 (description
2955 "Many methods allow us to extract biological activities from omics data using
2956 information from prior knowledge resources, reducing the dimensionality for
2957 increased statistical power and better interpretability. decoupleR is a
2958 Bioconductor package containing different statistical methods to extract these
2959 signatures within a unified framework. decoupleR allows the user to flexibly
2960 test any method with any resource. It incorporates methods that take into
2961 account the sign and weight of network interactions. decoupleR can be used
2962 with any omic, as long as its features can be linked to a biological process
2963 based on prior knowledge. For example, in transcriptomics gene sets regulated
2964 by a transcription factor, or in phospho-proteomics phosphosites that are
2965 targeted by a kinase.")
2966 (license license:gpl3)))
2967
2968 (define-public r-deepsnv
2969 (package
2970 (name "r-deepsnv")
2971 (version "1.42.1")
2972 (source (origin
2973 (method url-fetch)
2974 (uri (bioconductor-uri "deepSNV" version))
2975 (sha256
2976 (base32
2977 "0bgj1grv3a5bqhcdsw445x49kl3pz367svy6fnrzfsk9bmj46kgn"))))
2978 (properties `((upstream-name . "deepSNV")))
2979 (build-system r-build-system)
2980 (propagated-inputs
2981 (list r-biostrings
2982 r-genomicranges
2983 r-iranges
2984 r-rhtslib
2985 r-summarizedexperiment
2986 r-variantannotation
2987 r-vgam))
2988 (native-inputs
2989 (list r-knitr))
2990 (home-page "https://github.com/gerstung-lab/deepSNV/")
2991 (synopsis "Detection of subclonal SNVs in deep sequencing data")
2992 (description
2993 "This package provides quantitative variant callers for detecting
2994 subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments.
2995 The deepSNV algorithm is used for a comparative setup with a control experiment
2996 of the same loci and uses a beta-binomial model and a likelihood ratio test to
2997 discriminate sequencing errors and subclonal SNVs. The shearwater algorithm
2998 computes a Bayes classifier based on a beta-binomial model for variant calling
2999 with multiple samples for precisely estimating model parameters - such as local
3000 error rates and dispersion - and prior knowledge, e.g. from variation data
3001 bases such as COSMIC.")
3002 (license license:gpl3)))
3003
3004 (define-public r-delayedarray
3005 (package
3006 (name "r-delayedarray")
3007 (version "0.22.0")
3008 (source (origin
3009 (method url-fetch)
3010 (uri (bioconductor-uri "DelayedArray" version))
3011 (sha256
3012 (base32
3013 "11id63qza9dxl1364gllqafxmx25a0q22jv5q8h709bgc3f0grqy"))))
3014 (properties
3015 `((upstream-name . "DelayedArray")))
3016 (build-system r-build-system)
3017 (propagated-inputs
3018 (list r-biocgenerics r-s4vectors r-iranges r-matrix
3019 r-matrixgenerics))
3020 (native-inputs
3021 (list r-knitr))
3022 (home-page "https://bioconductor.org/packages/DelayedArray")
3023 (synopsis "Delayed operations on array-like objects")
3024 (description
3025 "Wrapping an array-like object (typically an on-disk object) in a
3026 @code{DelayedArray} object allows one to perform common array operations on it
3027 without loading the object in memory. In order to reduce memory usage and
3028 optimize performance, operations on the object are either delayed or executed
3029 using a block processing mechanism. Note that this also works on in-memory
3030 array-like objects like @code{DataFrame} objects (typically with Rle columns),
3031 @code{Matrix} objects, and ordinary arrays and data frames.")
3032 (license license:artistic2.0)))
3033
3034 (define-public r-derfinderhelper
3035 (package
3036 (name "r-derfinderhelper")
3037 (version "1.30.0")
3038 (source
3039 (origin
3040 (method url-fetch)
3041 (uri (bioconductor-uri "derfinderHelper" version))
3042 (sha256
3043 (base32 "0r7zbx5bfmh5cjs12y8d9qwz53nz340gdy3sx7zcn4rzn7rpslp5"))))
3044 (properties `((upstream-name . "derfinderHelper")))
3045 (build-system r-build-system)
3046 (propagated-inputs
3047 (list r-iranges r-matrix r-s4vectors))
3048 (native-inputs
3049 (list r-knitr))
3050 (home-page "https://github.com/leekgroup/derfinderHelper")
3051 (synopsis "Helper for derfinder")
3052 (description
3053 "This package speeds up the derfinder package when using multiple cores.
3054 It is particularly useful when using BiocParallel and it helps reduce the time
3055 spent loading the full derfinder package when running the F-statistics
3056 calculation in parallel.")
3057 (license license:artistic2.0)))
3058
3059 (define-public r-drimseq
3060 (package
3061 (name "r-drimseq")
3062 (version "1.24.0")
3063 (source
3064 (origin
3065 (method url-fetch)
3066 (uri (bioconductor-uri "DRIMSeq" version))
3067 (sha256
3068 (base32 "1dph483ij43ayw0z5dbnp6gwp53ka7k5si1hp3miac7z8dqzv94l"))))
3069 (properties `((upstream-name . "DRIMSeq")))
3070 (build-system r-build-system)
3071 (propagated-inputs
3072 (list r-biocgenerics
3073 r-biocparallel
3074 r-edger
3075 r-genomicranges
3076 r-ggplot2
3077 r-iranges
3078 r-limma
3079 r-mass
3080 r-reshape2
3081 r-s4vectors))
3082 (native-inputs (list r-knitr))
3083 (home-page "https://bioconductor.org/packages/DRIMSeq")
3084 (synopsis "Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq")
3085 (description
3086 "The package provides two frameworks. One for the differential
3087 transcript usage analysis between different conditions and one for the tuQTL
3088 analysis. Both are based on modeling the counts of genomic features (i.e.,
3089 transcripts) with the Dirichlet-multinomial distribution. The package also
3090 makes available functions for visualization and exploration of the data and
3091 results.")
3092 (license license:gpl3+)))
3093
3094 (define-public r-bluster
3095 (package
3096 (name "r-bluster")
3097 (version "1.6.0")
3098 (source (origin
3099 (method url-fetch)
3100 (uri (bioconductor-uri "bluster" version))
3101 (sha256
3102 (base32
3103 "1g496yc7mdhshf6r0n8xhj7ax936ia5z2cx72lqyk2vzzzl5c4v8"))))
3104 (properties `((upstream-name . "bluster")))
3105 (build-system r-build-system)
3106 (propagated-inputs
3107 (list r-biocneighbors
3108 r-biocparallel
3109 r-cluster
3110 r-igraph
3111 r-matrix
3112 r-rcpp
3113 r-s4vectors))
3114 (native-inputs
3115 (list r-knitr))
3116 (home-page "https://bioconductor.org/packages/bluster")
3117 (synopsis "Clustering algorithms for Bioconductor")
3118 (description"This package wraps common clustering algorithms in an easily
3119 extended S4 framework. Backends are implemented for hierarchical, k-means
3120 and graph-based clustering. Several utilities are also provided to compare
3121 and evaluate clustering results.")
3122 (license license:gpl3)))
3123
3124 (define-public r-ideoviz
3125 (package
3126 (name "r-ideoviz")
3127 (version "1.32.0")
3128 (source (origin
3129 (method url-fetch)
3130 (uri (bioconductor-uri "IdeoViz" version))
3131 (sha256
3132 (base32
3133 "1wwh3ifdijhpm58lw7cmnx084xwfxnc7i0206w8rhrjnvnq6ljh3"))))
3134 (build-system r-build-system)
3135 (propagated-inputs
3136 (list r-biobase
3137 r-iranges
3138 r-genomicranges
3139 r-rcolorbrewer
3140 r-rtracklayer
3141 r-genomeinfodb))
3142 (home-page "https://bioconductor.org/packages/IdeoViz/")
3143 (synopsis "Plots data along a chromosomal ideogram")
3144 (description "This package provides functions to plot data associated with
3145 arbitrary genomic intervals along chromosomal ideogram.")
3146 (license license:gpl2)))
3147
3148 (define-public r-infercnv
3149 (package
3150 (name "r-infercnv")
3151 (version "1.12.0")
3152 (source
3153 (origin
3154 (method url-fetch)
3155 (uri (bioconductor-uri "infercnv" version))
3156 (sha256
3157 (base32
3158 "01f021fdxm058733rky46dlvqg7dmf5mn5x9lnq0fspp5665w3bl"))))
3159 (properties `((upstream-name . "infercnv")))
3160 (build-system r-build-system)
3161 (inputs (list python))
3162 (propagated-inputs
3163 (list r-ape
3164 r-argparse
3165 r-biocgenerics
3166 r-catools
3167 r-coda
3168 r-coin
3169 r-digest
3170 r-doparallel
3171 r-dplyr
3172 r-edger
3173 r-fastcluster
3174 r-fitdistrplus
3175 r-foreach
3176 r-futile-logger
3177 r-future
3178 r-ggplot2
3179 r-gplots
3180 r-gridextra
3181 r-hiddenmarkov
3182 r-leiden
3183 r-matrix
3184 r-paralleldist
3185 r-phyclust
3186 r-rann
3187 r-rcolorbrewer
3188 r-reshape
3189 r-rjags
3190 r-singlecellexperiment
3191 r-summarizedexperiment
3192 r-tidyr))
3193 (native-inputs (list r-knitr))
3194 (home-page "https://github.com/broadinstitute/inferCNV/wiki")
3195 (synopsis "Infer copy number variation from single-cell RNA-Seq data")
3196 (description
3197 "@code{InferCNV} is used to explore tumor single cell RNA-Seq data to identify
3198 evidence for somatic large-scale chromosomal copy number alterations, such as gains
3199 or deletions of entire chromosomes or large segments of chromosomes. This is done
3200 by exploring expression intensity of genes across positions of a tumor genome in
3201 comparison to a set of reference \"normal\" cells. A heatmap is generated
3202 illustrating the relative expression intensities across each chromosome, and it
3203 often becomes readily apparent as to which regions of the tumor genome are
3204 over-abundant or less-abundant as compared to that of normal cells.")
3205 (license license:bsd-3)))
3206
3207 (define-public r-iranges
3208 (package
3209 (name "r-iranges")
3210 (version "2.30.1")
3211 (source (origin
3212 (method url-fetch)
3213 (uri (bioconductor-uri "IRanges" version))
3214 (sha256
3215 (base32
3216 "1r01c9lczkchgd9hbxxd6wrd5avhy52mfqjck7l9avjq1jimvzv3"))))
3217 (properties
3218 `((upstream-name . "IRanges")))
3219 (build-system r-build-system)
3220 (propagated-inputs
3221 (list r-biocgenerics r-s4vectors))
3222 (home-page "https://bioconductor.org/packages/IRanges")
3223 (synopsis "Infrastructure for manipulating intervals on sequences")
3224 (description
3225 "This package provides efficient low-level and highly reusable S4 classes
3226 for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more
3227 generally, data that can be organized sequentially (formally defined as
3228 @code{Vector} objects), as well as views on these @code{Vector} objects.
3229 Efficient list-like classes are also provided for storing big collections of
3230 instances of the basic classes. All classes in the package use consistent
3231 naming and share the same rich and consistent \"Vector API\" as much as
3232 possible.")
3233 (license license:artistic2.0)))
3234
3235 (define-public r-isoformswitchanalyzer
3236 (package
3237 (name "r-isoformswitchanalyzer")
3238 (version "1.18.0")
3239 (source
3240 (origin
3241 (method url-fetch)
3242 (uri (bioconductor-uri "IsoformSwitchAnalyzeR" version))
3243 (sha256
3244 (base32 "0n1gb9azxa1mxpsqvw3i3kf72f45nyjj1kgwwrzhd88n3g63lvkd"))))
3245 (properties `((upstream-name . "IsoformSwitchAnalyzeR")))
3246 (build-system r-build-system)
3247 (propagated-inputs
3248 (list r-biobase
3249 r-biocgenerics
3250 r-biostrings
3251 r-bsgenome
3252 r-dbi
3253 r-dexseq
3254 r-dplyr
3255 r-drimseq
3256 r-edger
3257 r-futile-logger
3258 r-genomeinfodb
3259 r-genomicranges
3260 r-ggplot2
3261 r-gridextra
3262 r-iranges
3263 r-limma
3264 r-magrittr
3265 r-plyr
3266 r-rcolorbrewer
3267 r-rcurl
3268 r-readr
3269 r-reshape2
3270 r-rtracklayer
3271 r-stringr
3272 r-tibble
3273 r-tximeta
3274 r-tximport
3275 r-venndiagram
3276 r-xvector))
3277 (native-inputs
3278 (list r-knitr))
3279 (home-page "https://bioconductor.org/packages/IsoformSwitchAnalyzeR/")
3280 (synopsis "Analyze alternative splicing in RNA-seq data")
3281 (description
3282 "This is a package for the analysis of alternative splicing and isoform
3283 switches with predicted functional consequences (e.g. gain/loss of protein
3284 domains etc.) from quantification of all types of RNASeq by tools such as
3285 Kallisto, Salmon, StringTie, Cufflinks/Cuffdiff etc.")
3286 (license license:gpl2+)))
3287
3288 ;; This is a CRAN package, but it depends on r-biobase and r-limma from Bioconductor.
3289 (define-public r-absfiltergsea
3290 (package
3291 (name "r-absfiltergsea")
3292 (version "1.5.1")
3293 (source
3294 (origin
3295 (method url-fetch)
3296 (uri (cran-uri "AbsFilterGSEA" version))
3297 (sha256
3298 (base32 "15srxkxsvn38kd5frdrwfdf0ad8gskrd0h01wmdf9hglq8fjrp7w"))))
3299 (properties `((upstream-name . "AbsFilterGSEA")))
3300 (build-system r-build-system)
3301 (propagated-inputs
3302 (list r-biobase r-deseq r-limma r-rcpp r-rcpparmadillo))
3303 (home-page "https://cran.r-project.org/web/packages/AbsFilterGSEA/")
3304 (synopsis "Improved false positive control of gene-permuting with absolute filtering")
3305 (description
3306 "This package provides a function that performs gene-permuting of a gene-set
3307 enrichment analysis (GSEA) calculation with or without the absolute filtering.
3308 Without filtering, users can perform (original) two-tailed or one-tailed
3309 absolute GSEA.")
3310 (license license:gpl2)))
3311
3312 ;; This is a CRAN package, but it depends on r-biobase from Bioconductor.
3313 (define-public r-bisquerna
3314 (package
3315 (name "r-bisquerna")
3316 (version "1.0.5")
3317 (source (origin
3318 (method url-fetch)
3319 (uri (cran-uri "BisqueRNA" version))
3320 (sha256
3321 (base32
3322 "0p3p5lp69gri7vs6qfpm7br4ksbs4l7clm4nj8ki99wpqiqni23n"))))
3323 (properties `((upstream-name . "BisqueRNA")))
3324 (build-system r-build-system)
3325 (propagated-inputs
3326 (list r-biobase r-limsolve))
3327 (native-inputs
3328 (list r-knitr))
3329 (home-page "https://www.biorxiv.org/content/10.1101/669911v1")
3330 (synopsis "Decomposition of bulk expression with single-cell sequencing")
3331 (description "This package provides tools to accurately estimate cell type
3332 abundances from heterogeneous bulk expression. A reference-based method
3333 utilizes single-cell information to generate a signature matrix and
3334 transformation of bulk expression for accurate regression based estimates.
3335 A marker-based method utilizes known cell-specific marker genes to measure
3336 relative abundances across samples.")
3337 (license license:gpl3)))
3338
3339 ;; This is a CRAN package, but it depends on r-bsgenome-hsapiens-ucsc-hg19
3340 ;; from Bioconductor.
3341 (define-public r-deconstructsigs
3342 (package
3343 (name "r-deconstructsigs")
3344 (version "1.8.0")
3345 (source (origin
3346 (method url-fetch)
3347 (uri (cran-uri "deconstructSigs" version))
3348 (sha256
3349 (base32
3350 "014x0nb23jb98666kaav2phkvmkr38pi38jv0dqd4jv7zp0gdf1a"))))
3351 (properties
3352 `((upstream-name . "deconstructSigs")))
3353 (build-system r-build-system)
3354 (propagated-inputs
3355 (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-genomeinfodb
3356 r-reshape2))
3357 (home-page "https://github.com/raerose01/deconstructSigs")
3358 (synopsis "Identifies signatures present in a tumor sample")
3359 (description "This package takes sample information in the form of the
3360 fraction of mutations in each of 96 trinucleotide contexts and identifies
3361 the weighted combination of published signatures that, when summed, most
3362 closely reconstructs the mutational profile.")
3363 (license license:gpl2+)))
3364
3365 ;; This is a CRAN package, but it depends on Bioconductor packages.
3366 (define-public r-jetset
3367 (package
3368 (name "r-jetset")
3369 (version "3.4.0")
3370 (source
3371 (origin
3372 (method url-fetch)
3373 (uri (cran-uri "jetset" version))
3374 (sha256
3375 (base32 "0c99h5npsv2gf5d59s4qhkaqmjhbwa3prcykk24wzhnpfq6y6xhp"))))
3376 (properties `((upstream-name . "jetset")))
3377 (build-system r-build-system)
3378 (propagated-inputs (list r-annotationdbi r-org-hs-eg-db))
3379 (home-page "http://www.cbs.dtu.dk/biotools/jetset/")
3380 (synopsis "One-to-one gene-probeset mapping for Affymetrix human microarrays")
3381 (description
3382 "This package provides a one-to-one mapping from gene to \"best\" probe
3383 set for four Affymetrix human gene expression microarrays: hgu95av2, hgu133a,
3384 hgu133plus2, and u133x3p. On Affymetrix gene expression microarrays, a single
3385 gene may be measured by multiple probe sets. This can present a mild
3386 conundrum when attempting to evaluate a gene \"signature\" that is defined by
3387 gene names rather than by specific probe sets. This package also includes the
3388 pre-calculated probe set quality scores that were used to define the
3389 mapping.")
3390 (license license:artistic2.0)))
3391
3392 ;; This is a CRAN package, but it depends on Bioconductor packages.
3393 (define-public r-nmf
3394 (package
3395 (name "r-nmf")
3396 (version "0.24.0")
3397 (source
3398 (origin
3399 (method url-fetch)
3400 (uri (cran-uri "NMF" version))
3401 (sha256
3402 (base32
3403 "14yxra6in5c1md5nr75y8cdmh9pg0lxqabqflvlhgg1vbg9i2628"))))
3404 (properties `((upstream-name . "NMF")))
3405 (build-system r-build-system)
3406 (propagated-inputs
3407 (list r-cluster
3408 r-biobase
3409 r-biocmanager
3410 r-bigmemory ; suggested
3411 r-synchronicity ; suggested
3412 r-colorspace
3413 r-digest
3414 r-doparallel
3415 r-foreach
3416 r-ggplot2
3417 r-gridbase
3418 r-pkgmaker
3419 r-rcolorbrewer
3420 r-registry
3421 r-reshape2
3422 r-rngtools
3423 r-stringr))
3424 (native-inputs
3425 (list r-knitr))
3426 (home-page "http://renozao.github.io/NMF")
3427 (synopsis "Algorithms and framework for nonnegative matrix factorization")
3428 (description
3429 "This package provides a framework to perform Non-negative Matrix
3430 Factorization (NMF). The package implements a set of already published
3431 algorithms and seeding methods, and provides a framework to test, develop and
3432 plug new or custom algorithms. Most of the built-in algorithms have been
3433 optimized in C++, and the main interface function provides an easy way of
3434 performing parallel computations on multicore machines.")
3435 (license license:gpl2+)))
3436
3437 (define-public r-affy
3438 (package
3439 (name "r-affy")
3440 (version "1.74.0")
3441 (source
3442 (origin
3443 (method url-fetch)
3444 (uri (bioconductor-uri "affy" version))
3445 (sha256
3446 (base32
3447 "02l77y4d4m4jwgkb3jdaskv6shmba5292whp0i29mg9asxv4rdc7"))))
3448 (build-system r-build-system)
3449 (propagated-inputs
3450 (list r-affyio
3451 r-biobase
3452 r-biocgenerics
3453 r-biocmanager
3454 r-preprocesscore
3455 r-zlibbioc))
3456 (inputs
3457 (list zlib))
3458 (home-page "https://bioconductor.org/packages/affy")
3459 (synopsis "Methods for affymetrix oligonucleotide arrays")
3460 (description
3461 "This package contains functions for exploratory oligonucleotide array
3462 analysis.")
3463 (license license:lgpl2.0+)))
3464
3465 (define-public r-affycomp
3466 (package
3467 (name "r-affycomp")
3468 (version "1.72.0")
3469 (source
3470 (origin
3471 (method url-fetch)
3472 (uri (bioconductor-uri "affycomp" version))
3473 (sha256
3474 (base32
3475 "0aq5p56sqpvba0yhgd75302s9bazchh1izgymng6cpb78y5wfpj0"))))
3476 (properties `((upstream-name . "affycomp")))
3477 (build-system r-build-system)
3478 (propagated-inputs (list r-biobase))
3479 (home-page "https://bioconductor.org/packages/affycomp/")
3480 (synopsis "Graphics toolbox for assessment of Affymetrix expression measures")
3481 (description
3482 "The package contains functions that can be used to compare expression
3483 measures for Affymetrix Oligonucleotide Arrays.")
3484 (license license:gpl2+)))
3485
3486 (define-public r-affycompatible
3487 (package
3488 (name "r-affycompatible")
3489 (version "1.56.0")
3490 (source
3491 (origin
3492 (method url-fetch)
3493 (uri (bioconductor-uri "AffyCompatible" version))
3494 (sha256
3495 (base32
3496 "0x3lj1jgqq67389rzfklah5p878ns9b4fpdpz455m2gq9sk7qsda"))))
3497 (properties
3498 `((upstream-name . "AffyCompatible")))
3499 (build-system r-build-system)
3500 (arguments
3501 (list
3502 #:phases
3503 `(modify-phases %standard-phases
3504 (add-after 'unpack 'make-reproducible
3505 (lambda _
3506 ;; Order DTD elements before generating R code from them.
3507 (substitute* "R/methods-AffyCompatible.R"
3508 (("dtd <- .*" m)
3509 (string-append m "
3510 elements <- dtd$elements
3511 ordered <- elements[order(names(elements))]\n"))
3512 (("elt in dtd\\$elements")
3513 "elt in ordered"))
3514 ;; Use a predictable directory name for code generation.
3515 (mkdir-p "/tmp/NetAffxResourcePrototype")
3516 (substitute* "R/DataClasses.R"
3517 (("directory=tempdir\\(\\)")
3518 "directory=\"/tmp/NetAffxResourcePrototype\"")))))))
3519 (propagated-inputs
3520 (list r-biostrings r-rcurl r-xml))
3521 (home-page "https://bioconductor.org/packages/AffyCompatible/")
3522 (synopsis "Work with Affymetrix GeneChip files")
3523 (description
3524 "This package provides an interface to Affymetrix chip annotation and
3525 sample attribute files. The package allows an easy way for users to download
3526 and manage local data bases of Affynmetrix NetAffx annotation files. It also
3527 provides access to @dfn{GeneChip Operating System} (GCOS) and @dfn{GeneChip
3528 Command Console} (AGCC)-compatible sample annotation files.")
3529 (license license:artistic2.0)))
3530
3531 (define-public r-affycontam
3532 (package
3533 (name "r-affycontam")
3534 (version "1.54.0")
3535 (source
3536 (origin
3537 (method url-fetch)
3538 (uri (bioconductor-uri "affyContam" version))
3539 (sha256
3540 (base32
3541 "1pyd4rj6pp139kvhh97whi4afvx029w5lglr4mnscw7m3f618v0p"))))
3542 (properties `((upstream-name . "affyContam")))
3543 (build-system r-build-system)
3544 (propagated-inputs
3545 (list r-affy r-affydata r-biobase))
3546 (home-page "https://bioconductor.org/packages/affyContam/")
3547 (synopsis "Structured corruption of Affymetrix CEL file data")
3548 (description
3549 "Microarray quality assessment is a major concern of microarray analysts.
3550 This package provides some simple approaches to in silico creation of quality
3551 problems in CEL-level data to help evaluate performance of quality metrics.")
3552 (license license:artistic2.0)))
3553
3554 (define-public r-affycoretools
3555 (package
3556 (name "r-affycoretools")
3557 (version "1.68.1")
3558 (source
3559 (origin
3560 (method url-fetch)
3561 (uri (bioconductor-uri "affycoretools" version))
3562 (sha256
3563 (base32
3564 "05x64hy5jpmg973biwq4q9gzy1n0iqc0pxrix1f6bri1w6vil3ww"))))
3565 (properties `((upstream-name . "affycoretools")))
3566 (build-system r-build-system)
3567 (propagated-inputs
3568 (list r-affy
3569 r-annotationdbi
3570 r-biobase
3571 r-biocgenerics
3572 r-dbi
3573 r-edger
3574 r-gcrma
3575 r-glimma
3576 r-ggplot2
3577 r-gostats
3578 r-gplots
3579 r-hwriter
3580 r-lattice
3581 r-limma
3582 r-oligoclasses
3583 r-reportingtools
3584 r-rsqlite
3585 r-s4vectors
3586 r-xtable))
3587 (native-inputs
3588 (list r-knitr))
3589 (home-page "https://bioconductor.org/packages/affycoretools/")
3590 (synopsis "Functions for analyses with Affymetrix GeneChips")
3591 (description
3592 "This package provides various wrapper functions that have been written
3593 to streamline the more common analyses that a Biostatistician might see.")
3594 (license license:artistic2.0)))
3595
3596 (define-public r-affyio
3597 (package
3598 (name "r-affyio")
3599 (version "1.66.0")
3600 (source
3601 (origin
3602 (method url-fetch)
3603 (uri (bioconductor-uri "affyio" version))
3604 (sha256
3605 (base32
3606 "19cw82qvzkz6vh2gm302y7digsf6xif7c9l2q9s6lkx2yflqpgfp"))))
3607 (build-system r-build-system)
3608 (propagated-inputs
3609 (list r-zlibbioc))
3610 (inputs
3611 (list zlib))
3612 (home-page "https://github.com/bmbolstad/affyio")
3613 (synopsis "Tools for parsing Affymetrix data files")
3614 (description
3615 "This package provides routines for parsing Affymetrix data files based
3616 upon file format information. The primary focus is on accessing the CEL and
3617 CDF file formats.")
3618 (license license:lgpl2.0+)))
3619
3620 (define-public r-affxparser
3621 (package
3622 (name "r-affxparser")
3623 (version "1.68.1")
3624 (source
3625 (origin
3626 (method url-fetch)
3627 (uri (bioconductor-uri "affxparser" version))
3628 (sha256
3629 (base32
3630 "16x92gwsy7zdyz4md4cw847xn2ymqd6gqsn0rlr2nnf3qmnjnils"))))
3631 (properties `((upstream-name . "affxparser")))
3632 (build-system r-build-system)
3633 (home-page "https://github.com/HenrikBengtsson/affxparser")
3634 (synopsis "Affymetrix File Parsing SDK")
3635 (description
3636 "This is a package for parsing Affymetrix files (CDF, CEL, CHP, BPMAP,
3637 BAR). It provides methods for fast and memory efficient parsing of Affymetrix
3638 files using the Affymetrix' Fusion SDK. Both ASCII- and binary-based files
3639 are supported. Currently, there are methods for reading @dfn{chip definition
3640 file} (CDF) and a @dfn{cell intensity file} (CEL). These files can be read
3641 either in full or in part. For example, probe signals from a few probesets
3642 can be extracted very quickly from a set of CEL files into a convenient list
3643 structure.")
3644 ;; The Fusion SDK contains files under GPLv2 and LGPLv2.1. The R code is
3645 ;; under LGPLv2+.
3646 (license (list license:lgpl2.0+ license:lgpl2.1 license:gpl2))))
3647
3648 (define-public r-annotate
3649 (package
3650 (name "r-annotate")
3651 (version "1.74.0")
3652 (source
3653 (origin
3654 (method url-fetch)
3655 (uri (bioconductor-uri "annotate" version))
3656 (sha256
3657 (base32
3658 "0x6vddpiw2g713vicf70198x8dlrwf36p8jjygdsfnl56ls5bh2g"))))
3659 (build-system r-build-system)
3660 (propagated-inputs
3661 (list r-annotationdbi
3662 r-biobase
3663 r-biocgenerics
3664 r-dbi
3665 r-httr
3666 r-xml
3667 r-xtable))
3668 (home-page
3669 "https://bioconductor.org/packages/annotate")
3670 (synopsis "Annotation for microarrays")
3671 (description "This package provides R environments for the annotation of
3672 microarrays.")
3673 (license license:artistic2.0)))
3674
3675 (define-public r-annotationdbi
3676 (package
3677 (name "r-annotationdbi")
3678 (version "1.58.0")
3679 (source (origin
3680 (method url-fetch)
3681 (uri (bioconductor-uri "AnnotationDbi" version))
3682 (sha256
3683 (base32
3684 "15cwy7lic89jwl3dr7j4pb5bx457jdpvzvylr71624s0p0j9rgwn"))))
3685 (properties
3686 `((upstream-name . "AnnotationDbi")))
3687 (build-system r-build-system)
3688 (propagated-inputs
3689 (list r-biobase
3690 r-biocgenerics
3691 r-dbi
3692 r-keggrest
3693 r-iranges
3694 r-rsqlite
3695 r-s4vectors))
3696 (native-inputs
3697 (list r-knitr))
3698 (home-page "https://bioconductor.org/packages/AnnotationDbi")
3699 (synopsis "Annotation database interface")
3700 (description
3701 "This package provides user interface and database connection code for
3702 annotation data packages using SQLite data storage.")
3703 (license license:artistic2.0)))
3704
3705 (define-public r-annotationfilter
3706 (package
3707 (name "r-annotationfilter")
3708 (version "1.20.0")
3709 (source (origin
3710 (method url-fetch)
3711 (uri (bioconductor-uri "AnnotationFilter" version))
3712 (sha256
3713 (base32
3714 "082lpcd6yr2nkxndlck2wqqd3nfdx7lnpw8barxgv41q4l7v4ald"))))
3715 (properties
3716 `((upstream-name . "AnnotationFilter")))
3717 (build-system r-build-system)
3718 (propagated-inputs
3719 (list r-genomicranges r-lazyeval))
3720 (native-inputs
3721 (list r-knitr))
3722 (home-page "https://github.com/Bioconductor/AnnotationFilter")
3723 (synopsis "Facilities for filtering Bioconductor annotation resources")
3724 (description
3725 "This package provides classes and other infrastructure to implement
3726 filters for manipulating Bioconductor annotation resources. The filters are
3727 used by @code{ensembldb}, @code{Organism.dplyr}, and other packages.")
3728 (license license:artistic2.0)))
3729
3730 (define-public r-annotationforge
3731 (package
3732 (name "r-annotationforge")
3733 (version "1.38.1")
3734 (source
3735 (origin
3736 (method url-fetch)
3737 (uri (bioconductor-uri "AnnotationForge" version))
3738 (sha256
3739 (base32
3740 "0lcr79a3570h7zg4z691gxg2vlyqnars5811q0clzinbmq7b4x3v"))))
3741 (properties
3742 `((upstream-name . "AnnotationForge")))
3743 (build-system r-build-system)
3744 (propagated-inputs
3745 (list r-annotationdbi
3746 r-biobase
3747 r-biocgenerics
3748 r-dbi
3749 r-rcurl
3750 r-rsqlite
3751 r-s4vectors
3752 r-xml))
3753 (native-inputs
3754 (list r-knitr))
3755 (home-page "https://bioconductor.org/packages/AnnotationForge")
3756 (synopsis "Code for building annotation database packages")
3757 (description
3758 "This package provides code for generating Annotation packages and their
3759 databases. Packages produced are intended to be used with AnnotationDbi.")
3760 (license license:artistic2.0)))
3761
3762 (define-public r-annotationhub
3763 (package
3764 (name "r-annotationhub")
3765 (version "3.4.0")
3766 (source
3767 (origin
3768 (method url-fetch)
3769 (uri (bioconductor-uri "AnnotationHub" version))
3770 (sha256
3771 (base32
3772 "03dmbx43rsv9xv94lk12gpraq47ryc13jijwma3q05hl9wn8xjxs"))))
3773 (properties `((upstream-name . "AnnotationHub")))
3774 (build-system r-build-system)
3775 (propagated-inputs
3776 (list r-annotationdbi
3777 r-biocfilecache
3778 r-biocgenerics
3779 r-biocmanager
3780 r-biocversion
3781 r-curl
3782 r-dplyr
3783 r-httr
3784 r-interactivedisplaybase
3785 r-rappdirs
3786 r-rsqlite
3787 r-s4vectors
3788 r-yaml))
3789 (native-inputs
3790 (list r-knitr))
3791 (home-page "https://bioconductor.org/packages/AnnotationHub")
3792 (synopsis "Client to access AnnotationHub resources")
3793 (description
3794 "This package provides a client for the Bioconductor AnnotationHub web
3795 resource. The AnnotationHub web resource provides a central location where
3796 genomic files (e.g. VCF, bed, wig) and other resources from standard
3797 locations (e.g. UCSC, Ensembl) can be discovered. The resource includes
3798 metadata about each resource, e.g., a textual description, tags, and date of
3799 modification. The client creates and manages a local cache of files retrieved
3800 by the user, helping with quick and reproducible access.")
3801 (license license:artistic2.0)))
3802
3803 (define-public r-aroma-light
3804 (package
3805 (name "r-aroma-light")
3806 (version "3.26.0")
3807 (source
3808 (origin
3809 (method url-fetch)
3810 (uri (bioconductor-uri "aroma.light" version))
3811 (sha256
3812 (base32
3813 "1240v9wvsf205g998ms19hncki8g6shidg09dy5np9pqpiix4vys"))))
3814 (properties `((upstream-name . "aroma.light")))
3815 (build-system r-build-system)
3816 (propagated-inputs
3817 (list r-matrixstats r-r-methodss3 r-r-oo r-r-utils))
3818 (home-page "https://github.com/HenrikBengtsson/aroma.light")
3819 (synopsis "Methods for normalization and visualization of microarray data")
3820 (description
3821 "This package provides methods for microarray analysis that take basic
3822 data types such as matrices and lists of vectors. These methods can be used
3823 standalone, be utilized in other packages, or be wrapped up in higher-level
3824 classes.")
3825 (license license:gpl2+)))
3826
3827 (define-public r-bamsignals
3828 (package
3829 (name "r-bamsignals")
3830 (version "1.28.0")
3831 (source
3832 (origin
3833 (method url-fetch)
3834 (uri (bioconductor-uri "bamsignals" version))
3835 (sha256
3836 (base32
3837 "0ywbxq829hclhr5bb6p77rspxvfs580zlwd2f5kr3an6rdgyx9ky"))))
3838 (build-system r-build-system)
3839 (propagated-inputs
3840 (list r-biocgenerics
3841 r-genomicranges
3842 r-iranges
3843 r-rcpp
3844 r-rhtslib
3845 r-zlibbioc))
3846 (native-inputs
3847 (list r-knitr))
3848 (home-page "https://bioconductor.org/packages/bamsignals")
3849 (synopsis "Extract read count signals from bam files")
3850 (description
3851 "This package efficiently obtains count vectors from indexed bam
3852 files. It counts the number of nucleotide sequence reads in given genomic
3853 ranges and it computes reads profiles and coverage profiles. It also handles
3854 paired-end data.")
3855 (license license:gpl2+)))
3856
3857 (define-public r-biobase
3858 (package
3859 (name "r-biobase")
3860 (version "2.56.0")
3861 (source (origin
3862 (method url-fetch)
3863 (uri (bioconductor-uri "Biobase" version))
3864 (sha256
3865 (base32
3866 "1mnxky78an079p60427cjvk4fzilp0xzy6b85fq274qvdcrz8jbv"))))
3867 (properties
3868 `((upstream-name . "Biobase")))
3869 (build-system r-build-system)
3870 (propagated-inputs
3871 (list r-biocgenerics))
3872 (home-page "https://bioconductor.org/packages/Biobase")
3873 (synopsis "Base functions for Bioconductor")
3874 (description
3875 "This package provides functions that are needed by many other packages
3876 on Bioconductor or which replace R functions.")
3877 (license license:artistic2.0)))
3878
3879 (define-public r-biomart
3880 (package
3881 (name "r-biomart")
3882 (version "2.52.0")
3883 (source (origin
3884 (method url-fetch)
3885 (uri (bioconductor-uri "biomaRt" version))
3886 (sha256
3887 (base32
3888 "0yn3kanyrplc89a900xiz33nw1v23mkljvd5isizgs8gzvwzf8xg"))))
3889 (properties
3890 `((upstream-name . "biomaRt")))
3891 (build-system r-build-system)
3892 (propagated-inputs
3893 (list r-annotationdbi
3894 r-biocfilecache
3895 r-digest
3896 r-httr
3897 r-progress
3898 r-rappdirs
3899 r-stringr
3900 r-xml
3901 r-xml2))
3902 (native-inputs
3903 (list r-knitr))
3904 (home-page "https://bioconductor.org/packages/biomaRt")
3905 (synopsis "Interface to BioMart databases")
3906 (description
3907 "biomaRt provides an interface to a growing collection of databases
3908 implementing the @url{BioMart software suite, http://www.biomart.org}. The
3909 package enables retrieval of large amounts of data in a uniform way without
3910 the need to know the underlying database schemas or write complex SQL queries.
3911 Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene,
3912 Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt
3913 users direct access to a diverse set of data and enable a wide range of
3914 powerful online queries from gene annotation to database mining.")
3915 (license license:artistic2.0)))
3916
3917 ;; This is a CRAN package, but it depends on a Bioconductor package:
3918 ;; r-biomart
3919 (define-public r-biomartr
3920 (package
3921 (name "r-biomartr")
3922 (version "1.0.2")
3923 (source (origin
3924 (method url-fetch)
3925 (uri (cran-uri "biomartr" version))
3926 (sha256
3927 (base32
3928 "0hr7wks88lbfcqzjzm4x265dk4lpmc3i2ndp7xcrx8ssj76wrmkz"))))
3929 (properties `((upstream-name . "biomartr")))
3930 (build-system r-build-system)
3931 (propagated-inputs
3932 (list r-biomart
3933 r-biostrings
3934 r-curl
3935 r-data-table
3936 r-downloader
3937 r-dplyr
3938 r-fs
3939 r-httr
3940 r-jsonlite
3941 r-philentropy
3942 r-purrr
3943 r-r-utils
3944 r-rcurl
3945 r-readr
3946 r-stringr
3947 r-tibble
3948 r-withr
3949 r-xml))
3950 (native-inputs (list r-knitr))
3951 (home-page "https://docs.ropensci.org/biomartr/")
3952 (synopsis "Genomic data retrieval")
3953 (description
3954 "Perform large scale genomic data retrieval and functional annotation
3955 retrieval. This package aims to provide users with a standardized way to
3956 automate genome, proteome, RNA, coding sequence (CDS), GFF, and metagenome
3957 retrieval from NCBI RefSeq, NCBI Genbank, ENSEMBL, and UniProt databases.
3958 Furthermore, an interface to the BioMart database allows users to retrieve
3959 functional annotation for genomic loci. In addition, users can download
3960 entire databases such as NCBI RefSeq, NCBI nr, NCBI nt, NCBI Genbank, etc with
3961 only one command.")
3962 (license license:gpl2)))
3963
3964 (define-public r-biocparallel
3965 (package
3966 (name "r-biocparallel")
3967 (version "1.30.3")
3968 (source (origin
3969 (method url-fetch)
3970 (uri (bioconductor-uri "BiocParallel" version))
3971 (sha256
3972 (base32
3973 "1rs3wmasl9mx7f399iclvm0bnvggvjj2a88zbi294r5m8wxqlc92"))))
3974 (properties
3975 `((upstream-name . "BiocParallel")))
3976 (build-system r-build-system)
3977 (arguments
3978 `(#:phases
3979 (modify-phases %standard-phases
3980 (add-after 'unpack 'make-reproducible
3981 (lambda _
3982 ;; Remove generated documentation.
3983 (for-each delete-file
3984 '("inst/doc/BiocParallel_BatchtoolsParam.pdf"
3985 "inst/doc/Introduction_To_BiocParallel.pdf"
3986 "inst/doc/Errors_Logs_And_Debugging.pdf"
3987 "inst/doc/BiocParallel_BatchtoolsParam.R"
3988 "inst/doc/Introduction_To_BiocParallel.R"
3989 "inst/doc/Errors_Logs_And_Debugging.R"))
3990
3991 ;; Remove time-dependent macro
3992 (substitute* '("inst/doc/BiocParallel_BatchtoolsParam.Rnw"
3993 "inst/doc/Introduction_To_BiocParallel.Rnw"
3994 "inst/doc/Errors_Logs_And_Debugging.Rnw"
3995 "vignettes/BiocParallel_BatchtoolsParam.Rnw"
3996 "vignettes/Introduction_To_BiocParallel.Rnw"
3997 "vignettes/Errors_Logs_And_Debugging.Rnw")
3998 (("\\today") "later"))
3999
4000 ;; Initialize the random number generator seed when building.
4001 (substitute* "R/rng.R"
4002 (("\"L'Ecuyer-CMRG\"\\)" m)
4003 (string-append
4004 m "; if (!is.na(Sys.getenv(\"SOURCE_DATE_EPOCH\"))) {set.seed(100)}\n"))))))))
4005 (propagated-inputs
4006 (list r-bh r-codetools r-futile-logger r-snow))
4007 (native-inputs
4008 (list r-knitr))
4009 (home-page "https://bioconductor.org/packages/BiocParallel")
4010 (synopsis "Bioconductor facilities for parallel evaluation")
4011 (description
4012 "This package provides modified versions and novel implementation of
4013 functions for parallel evaluation, tailored to use with Bioconductor
4014 objects.")
4015 (license (list license:gpl2+ license:gpl3+))))
4016
4017 (define-public r-biostrings
4018 (package
4019 (name "r-biostrings")
4020 (version "2.64.1")
4021 (source (origin
4022 (method url-fetch)
4023 (uri (bioconductor-uri "Biostrings" version))
4024 (sha256
4025 (base32
4026 "1wk8nlmp6f6fsjrcb4fb48s3ay38yywwad748i6lfkkcw2pdfw33"))))
4027 (properties
4028 `((upstream-name . "Biostrings")))
4029 (build-system r-build-system)
4030 (propagated-inputs
4031 (list r-biocgenerics
4032 r-crayon
4033 r-genomeinfodb
4034 r-iranges
4035 r-s4vectors
4036 r-xvector))
4037 (home-page "https://bioconductor.org/packages/Biostrings")
4038 (synopsis "String objects and algorithms for biological sequences")
4039 (description
4040 "This package provides memory efficient string containers, string
4041 matching algorithms, and other utilities, for fast manipulation of large
4042 biological sequences or sets of sequences.")
4043 (license license:artistic2.0)))
4044
4045 (define-public r-biovizbase
4046 (package
4047 (name "r-biovizbase")
4048 (version "1.44.0")
4049 (source
4050 (origin
4051 (method url-fetch)
4052 (uri (bioconductor-uri "biovizBase" version))
4053 (sha256
4054 (base32
4055 "1ffzf7yvl47l8v8a50m8g9q33hgwvxg4fcm8ld2yy8hd2zl86zyd"))))
4056 (properties `((upstream-name . "biovizBase")))
4057 (build-system r-build-system)
4058 (propagated-inputs
4059 (list r-annotationdbi
4060 r-annotationfilter
4061 r-biocgenerics
4062 r-biostrings
4063 r-dichromat
4064 r-ensembldb
4065 r-genomeinfodb
4066 r-genomicalignments
4067 r-genomicfeatures
4068 r-genomicranges
4069 r-hmisc
4070 r-iranges
4071 r-rcolorbrewer
4072 r-rlang
4073 r-rsamtools
4074 r-s4vectors
4075 r-scales
4076 r-summarizedexperiment
4077 r-variantannotation))
4078 (home-page "https://bioconductor.org/packages/biovizBase")
4079 (synopsis "Basic graphic utilities for visualization of genomic data")
4080 (description
4081 "The biovizBase package is designed to provide a set of utilities, color
4082 schemes and conventions for genomic data. It serves as the base for various
4083 high-level packages for biological data visualization. This saves development
4084 effort and encourages consistency.")
4085 (license license:artistic2.0)))
4086
4087 (define-public r-bsgenome
4088 (package
4089 (name "r-bsgenome")
4090 (version "1.64.0")
4091 (source (origin
4092 (method url-fetch)
4093 (uri (bioconductor-uri "BSgenome" version))
4094 (sha256
4095 (base32
4096 "17gqrmaf6xxghgrzcansl9gfw3ghkrqp87swlnwgyghqvflr5qxc"))))
4097 (properties
4098 `((upstream-name . "BSgenome")))
4099 (build-system r-build-system)
4100 (propagated-inputs
4101 (list r-biocgenerics
4102 r-biostrings
4103 r-genomeinfodb
4104 r-genomicranges
4105 r-iranges
4106 r-matrixstats
4107 r-rsamtools
4108 r-rtracklayer
4109 r-s4vectors
4110 r-xvector))
4111 (home-page "https://bioconductor.org/packages/BSgenome")
4112 (synopsis "Infrastructure for Biostrings-based genome data packages")
4113 (description
4114 "This package provides infrastructure shared by all Biostrings-based
4115 genome data packages and support for efficient SNP representation.")
4116 (license license:artistic2.0)))
4117
4118 (define-public r-category
4119 (package
4120 (name "r-category")
4121 (version "2.62.0")
4122 (source
4123 (origin
4124 (method url-fetch)
4125 (uri (bioconductor-uri "Category" version))
4126 (sha256
4127 (base32
4128 "07js03cfdd6gzbzw14iavlqxynfcqszh988v6k1a3h074wxiivqd"))))
4129 (properties `((upstream-name . "Category")))
4130 (build-system r-build-system)
4131 (propagated-inputs
4132 (list r-annotate
4133 r-annotationdbi
4134 r-biobase
4135 r-biocgenerics
4136 r-genefilter
4137 r-graph
4138 r-gseabase
4139 r-matrix
4140 r-rbgl
4141 r-dbi))
4142 (home-page "https://bioconductor.org/packages/Category")
4143 (synopsis "Category analysis")
4144 (description
4145 "This package provides a collection of tools for performing category
4146 analysis.")
4147 (license license:artistic2.0)))
4148
4149 (define-public r-chipseeker
4150 (package
4151 (name "r-chipseeker")
4152 (version "1.32.1")
4153 (source (origin
4154 (method url-fetch)
4155 (uri (bioconductor-uri "ChIPseeker" version))
4156 (sha256
4157 (base32
4158 "0l2514wvlc8q7n1zjzfrghdg372sp73z39204bkif3g6pdkcvbcf"))))
4159 (build-system r-build-system)
4160 (native-inputs
4161 (list r-knitr))
4162 (propagated-inputs
4163 (list r-annotationdbi
4164 r-biocgenerics
4165 r-boot
4166 r-enrichplot
4167 r-iranges
4168 r-genomeinfodb
4169 r-genomicranges
4170 r-genomicfeatures
4171 r-ggplot2
4172 r-ggvenndiagram
4173 r-gplots
4174 r-gtools
4175 r-dplyr
4176 r-plotrix
4177 r-dplyr
4178 r-magrittr
4179 r-rcolorbrewer
4180 r-rtracklayer
4181 r-s4vectors
4182 r-txdb-hsapiens-ucsc-hg19-knowngene))
4183 (home-page "https://www.bioconductor.org/packages/ChIPseeker/")
4184 (synopsis "ChIPseeker for ChIP peak annotation, comparison, and visualization")
4185 (description "This package implements functions to retrieve the nearest
4186 genes around the peak, annotate genomic region of the peak, statstical methods
4187 for estimate the significance of overlap among ChIP peak data sets, and
4188 incorporate GEO database for user to compare the own dataset with those
4189 deposited in database. The comparison can be used to infer cooperative
4190 regulation and thus can be used to generate hypotheses. Several visualization
4191 functions are implemented to summarize the coverage of the peak experiment,
4192 average profile and heatmap of peaks binding to TSS regions, genomic
4193 annotation, distance to TSS, and overlap of peaks or genes.")
4194 (license license:artistic2.0)))
4195
4196 (define-public r-chipseq
4197 (package
4198 (name "r-chipseq")
4199 (version "1.46.0")
4200 (source
4201 (origin
4202 (method url-fetch)
4203 (uri (bioconductor-uri "chipseq" version))
4204 (sha256
4205 (base32
4206 "1vh0hvgnw7ykj401v1q807sl14s4nixp1d8xbm41n01q6w8x834i"))))
4207 (build-system r-build-system)
4208 (propagated-inputs
4209 (list r-biocgenerics
4210 r-genomicranges
4211 r-iranges
4212 r-lattice
4213 r-s4vectors
4214 r-shortread))
4215 (home-page "https://bioconductor.org/packages/chipseq")
4216 (synopsis "Package for analyzing ChIPseq data")
4217 (description
4218 "This package provides tools for processing short read data from ChIPseq
4219 experiments.")
4220 (license license:artistic2.0)))
4221
4222 (define-public r-complexheatmap
4223 (package
4224 (name "r-complexheatmap")
4225 (version "2.12.1")
4226 (source
4227 (origin
4228 (method url-fetch)
4229 (uri (bioconductor-uri "ComplexHeatmap" version))
4230 (sha256
4231 (base32
4232 "0b4p3ijhdcydfp0j58xlb5dn7d3m2x420n91rl9diqpg4r2gl0s8"))))
4233 (properties
4234 `((upstream-name . "ComplexHeatmap")))
4235 (build-system r-build-system)
4236 (propagated-inputs
4237 (list r-circlize
4238 r-clue
4239 r-codetools
4240 r-colorspace
4241 r-digest
4242 r-doparallel
4243 r-foreach
4244 r-getoptlong
4245 r-globaloptions
4246 r-iranges
4247 r-matrixstats
4248 r-png
4249 r-rcolorbrewer))
4250 (native-inputs
4251 (list r-knitr))
4252 (home-page
4253 "https://github.com/jokergoo/ComplexHeatmap")
4254 (synopsis "Making Complex Heatmaps")
4255 (description
4256 "Complex heatmaps are efficient to visualize associations between
4257 different sources of data sets and reveal potential structures. This package
4258 provides a highly flexible way to arrange multiple heatmaps and supports
4259 self-defined annotation graphics.")
4260 (license license:gpl2+)))
4261
4262 (define-public r-copywriter
4263 (package
4264 (name "r-copywriter")
4265 (version "2.28.0")
4266 (source
4267 (origin
4268 (method url-fetch)
4269 (uri (bioconductor-uri "CopywriteR" version))
4270 (sha256
4271 (base32
4272 "1k11kvam96hpg71hz2n9cfzizmb7d1bmq5zfvm34s7fn09is60xb"))))
4273 (properties `((upstream-name . "CopywriteR")))
4274 (build-system r-build-system)
4275 (propagated-inputs
4276 (list r-biocparallel
4277 r-chipseq
4278 r-copyhelper
4279 r-data-table
4280 r-dnacopy
4281 r-futile-logger
4282 r-genomeinfodb
4283 r-genomicalignments
4284 r-genomicranges
4285 r-gtools
4286 r-iranges
4287 r-matrixstats
4288 r-rsamtools
4289 r-s4vectors))
4290 (home-page "https://github.com/PeeperLab/CopywriteR")
4291 (synopsis "Copy number information from targeted sequencing")
4292 (description
4293 "CopywriteR extracts DNA copy number information from targeted sequencing
4294 by utilizing off-target reads. It allows for extracting uniformly distributed
4295 copy number information, can be used without reference, and can be applied to
4296 sequencing data obtained from various techniques including chromatin
4297 immunoprecipitation and target enrichment on small gene panels. Thereby,
4298 CopywriteR constitutes a widely applicable alternative to available copy
4299 number detection tools.")
4300 (license license:gpl2)))
4301
4302 (define-public r-deseq
4303 (package
4304 (name "r-deseq")
4305 (version "1.39.0")
4306 (source
4307 (origin
4308 (method url-fetch)
4309 (uri (bioconductor-uri "DESeq" version))
4310 (sha256
4311 (base32
4312 "047hph5aqmjnz1aqprziw0smdn5lf96hmwpnvqrxv1j2yfvcf3h1"))))
4313 (properties `((upstream-name . "DESeq")))
4314 (build-system r-build-system)
4315 (propagated-inputs
4316 (list r-biobase
4317 r-biocgenerics
4318 r-genefilter
4319 r-geneplotter
4320 r-lattice
4321 r-locfit
4322 r-mass
4323 r-rcolorbrewer))
4324 (home-page "https://www-huber.embl.de/users/anders/DESeq/")
4325 (synopsis "Differential gene expression analysis")
4326 (description
4327 "This package provides tools for estimating variance-mean dependence in
4328 count data from high-throughput genetic sequencing assays and for testing for
4329 differential expression based on a model using the negative binomial
4330 distribution.")
4331 (license license:gpl3+)))
4332
4333 (define-public r-deseq2
4334 (package
4335 (name "r-deseq2")
4336 (version "1.36.0")
4337 (source
4338 (origin
4339 (method url-fetch)
4340 (uri (bioconductor-uri "DESeq2" version))
4341 (sha256
4342 (base32
4343 "06mvb0jqn2fg96wfwspv0kzpa8xpimzaldrcy8m2d4yk76xwsdr7"))))
4344 (properties `((upstream-name . "DESeq2")))
4345 (build-system r-build-system)
4346 (propagated-inputs
4347 (list r-biobase
4348 r-biocgenerics
4349 r-biocparallel
4350 r-genefilter
4351 r-geneplotter
4352 r-genomicranges
4353 r-ggplot2
4354 r-iranges
4355 r-locfit
4356 r-rcpp
4357 r-rcpparmadillo
4358 r-s4vectors
4359 r-summarizedexperiment))
4360 (native-inputs
4361 (list r-knitr))
4362 (home-page "https://bioconductor.org/packages/DESeq2")
4363 (synopsis "Differential gene expression analysis")
4364 (description
4365 "This package provides functions to estimate variance-mean dependence in
4366 count data from high-throughput nucleotide sequencing assays and test for
4367 differential expression based on a model using the negative binomial
4368 distribution.")
4369 (license license:lgpl3+)))
4370
4371 (define-public r-dexseq
4372 (package
4373 (name "r-dexseq")
4374 (version "1.42.0")
4375 (source
4376 (origin
4377 (method url-fetch)
4378 (uri (bioconductor-uri "DEXSeq" version))
4379 (sha256
4380 (base32
4381 "1dzx9mvm8pvcrwr88rin3flnpmzp3vq8mvspx9s8virqhv1102am"))))
4382 (properties `((upstream-name . "DEXSeq")))
4383 (build-system r-build-system)
4384 (propagated-inputs
4385 (list r-annotationdbi
4386 r-biobase
4387 r-biocgenerics
4388 r-biocparallel
4389 r-biomart
4390 r-deseq2
4391 r-genefilter
4392 r-geneplotter
4393 r-genomicranges
4394 r-hwriter
4395 r-iranges
4396 r-rcolorbrewer
4397 r-rsamtools
4398 r-s4vectors
4399 r-statmod
4400 r-stringr
4401 r-summarizedexperiment))
4402 (native-inputs
4403 (list r-knitr))
4404 (home-page "https://bioconductor.org/packages/DEXSeq")
4405 (synopsis "Inference of differential exon usage in RNA-Seq")
4406 (description
4407 "This package is focused on finding differential exon usage using RNA-seq
4408 exon counts between samples with different experimental designs. It provides
4409 functions that allows the user to make the necessary statistical tests based
4410 on a model that uses the negative binomial distribution to estimate the
4411 variance between biological replicates and generalized linear models for
4412 testing. The package also provides functions for the visualization and
4413 exploration of the results.")
4414 (license license:gpl3+)))
4415
4416 (define-public r-diffcyt
4417 (package
4418 (name "r-diffcyt")
4419 (version "1.16.0")
4420 (source
4421 (origin
4422 (method url-fetch)
4423 (uri (bioconductor-uri "diffcyt" version))
4424 (sha256
4425 (base32 "0mysylzmg24g7lm1xan4yklzqmskfgh53j6vjcz2gzakz5rq3rdb"))))
4426 (properties `((upstream-name . "diffcyt")))
4427 (build-system r-build-system)
4428 (propagated-inputs
4429 (list r-circlize
4430 r-complexheatmap
4431 r-dplyr
4432 r-edger
4433 r-flowcore
4434 r-flowsom
4435 r-limma
4436 r-lme4
4437 r-magrittr
4438 r-multcomp
4439 r-reshape2
4440 r-s4vectors
4441 r-summarizedexperiment
4442 r-tidyr))
4443 (native-inputs (list r-knitr))
4444 (home-page "https://github.com/lmweber/diffcyt")
4445 (synopsis "Differential discovery in high-dimensional cytometry")
4446 (description
4447 "This package provides statistical methods for differential discovery
4448 analyses in high-dimensional cytometry data (including flow cytometry, mass
4449 cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a
4450 combination of high-resolution clustering and empirical Bayes moderated tests
4451 adapted from transcriptomics.")
4452 (license license:expat)))
4453
4454 (define-public r-dirichletmultinomial
4455 (package
4456 (name "r-dirichletmultinomial")
4457 (version "1.38.0")
4458 (source
4459 (origin
4460 (method url-fetch)
4461 (uri (bioconductor-uri "DirichletMultinomial" version))
4462 (sha256
4463 (base32
4464 "15l0h2qz80lmrm5rva3v7lkgddn42igyxxwims57zwpwyhrk9bmx"))))
4465 (properties
4466 `((upstream-name . "DirichletMultinomial")))
4467 (build-system r-build-system)
4468 (inputs
4469 (list gsl))
4470 (propagated-inputs
4471 (list r-biocgenerics r-iranges r-s4vectors))
4472 (home-page "https://bioconductor.org/packages/DirichletMultinomial")
4473 (synopsis "Dirichlet-Multinomial mixture models for microbiome data")
4474 (description
4475 "Dirichlet-multinomial mixture models can be used to describe variability
4476 in microbial metagenomic data. This package is an interface to code
4477 originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2):
4478 1-15.")
4479 (license license:lgpl3)))
4480
4481 (define-public r-dittoseq
4482 (package
4483 (name "r-dittoseq")
4484 (version "1.8.1")
4485 (source (origin
4486 (method url-fetch)
4487 (uri (bioconductor-uri "dittoSeq" version))
4488 (sha256
4489 (base32
4490 "0vi0hcyffaxp6yxsrq95bdlrhr85dvbqm9c7rg6a6blkfgwhlzb4"))))
4491 (properties `((upstream-name . "dittoSeq")))
4492 (build-system r-build-system)
4493 (propagated-inputs
4494 (list r-colorspace
4495 r-cowplot
4496 r-ggplot2
4497 r-ggrepel
4498 r-ggridges
4499 r-gridextra
4500 r-pheatmap
4501 r-reshape2
4502 r-s4vectors
4503 r-singlecellexperiment
4504 r-summarizedexperiment))
4505 (native-inputs (list r-knitr))
4506 (home-page "https://bioconductor.org/packages/dittoSeq")
4507 (synopsis "Single-cell and bulk RNA sequencing visualization")
4508 (description
4509 "This package provides a universal, user friendly, single-cell and bulk RNA
4510 sequencing visualization toolkit that allows highly customizable creation of
4511 color blindness friendly, publication-quality figures. dittoSeq accepts both
4512 SingleCellExperiment (SCE) and Seurat objects, as well as the import and
4513 usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk data.
4514 Visualizations include dimensionality reduction plots, heatmaps, scatterplots,
4515 percent composition or expression across groups, and more. Customizations
4516 range from size and title adjustments to automatic generation of annotations
4517 for heatmaps, overlay of trajectory analysis onto any dimensionality reduciton
4518 plot, hidden data overlay upon cursor hovering via ggplotly conversion, and
4519 many more. All with simple, discrete inputs. Color blindness friendliness is
4520 powered by legend adjustments (enlarged keys), and by allowing the use of
4521 shapes or letter-overlay in addition to the carefully selected
4522 code{dittoColors()}.")
4523 (license license:expat)))
4524
4525 (define-public r-edaseq
4526 (package
4527 (name "r-edaseq")
4528 (version "2.30.0")
4529 (source
4530 (origin
4531 (method url-fetch)
4532 (uri (bioconductor-uri "EDASeq" version))
4533 (sha256
4534 (base32
4535 "1qnpbmhxvqsma7ihi6yp3ad962xcanlxald84k2szh011ipxj7ws"))))
4536 (properties `((upstream-name . "EDASeq")))
4537 (build-system r-build-system)
4538 (propagated-inputs
4539 (list r-annotationdbi
4540 r-aroma-light
4541 r-biobase
4542 r-biocgenerics
4543 r-biocmanager
4544 r-biomart
4545 r-biostrings
4546 r-genomicfeatures
4547 r-genomicranges
4548 r-iranges
4549 r-rsamtools
4550 r-shortread))
4551 (native-inputs
4552 (list r-knitr))
4553 (home-page "https://github.com/drisso/EDASeq")
4554 (synopsis "Exploratory data analysis and normalization for RNA-Seq")
4555 (description
4556 "This package provides support for numerical and graphical summaries of
4557 RNA-Seq genomic read data. Provided within-lane normalization procedures to
4558 adjust for GC-content effect (or other gene-level effects) on read counts:
4559 loess robust local regression, global-scaling, and full-quantile
4560 normalization. Between-lane normalization procedures to adjust for
4561 distributional differences between lanes (e.g., sequencing depth):
4562 global-scaling and full-quantile normalization.")
4563 (license license:artistic2.0)))
4564
4565 (define-public r-edger
4566 (package
4567 (name "r-edger")
4568 (version "3.38.4")
4569 (source (origin
4570 (method url-fetch)
4571 (uri (bioconductor-uri "edgeR" version))
4572 (sha256
4573 (base32
4574 "1ww69xrg9qrmq7dix2k48j6akgn58ss3340hm7pjvzx508x1j6n6"))))
4575 (properties `((upstream-name . "edgeR")))
4576 (build-system r-build-system)
4577 (propagated-inputs
4578 (list r-limma r-locfit r-rcpp))
4579 (home-page "http://bioinf.wehi.edu.au/edgeR")
4580 (synopsis "EdgeR does empirical analysis of digital gene expression data")
4581 (description "This package can do differential expression analysis of
4582 RNA-seq expression profiles with biological replication. It implements a range
4583 of statistical methodology based on the negative binomial distributions,
4584 including empirical Bayes estimation, exact tests, generalized linear models
4585 and quasi-likelihood tests. It be applied to differential signal analysis of
4586 other types of genomic data that produce counts, including ChIP-seq, SAGE and
4587 CAGE.")
4588 (license license:gpl2+)))
4589
4590 (define-public r-ensembldb
4591 (package
4592 (name "r-ensembldb")
4593 (version "2.20.2")
4594 (source
4595 (origin
4596 (method url-fetch)
4597 (uri (bioconductor-uri "ensembldb" version))
4598 (sha256
4599 (base32
4600 "12n21dcimdhgyjzk33m6xbv0m9ihgyzcf66vr1jr5ycv3rq2s7xc"))))
4601 (build-system r-build-system)
4602 (propagated-inputs
4603 (list r-annotationdbi
4604 r-annotationfilter
4605 r-biobase
4606 r-biocgenerics
4607 r-biostrings
4608 r-curl
4609 r-dbi
4610 r-genomeinfodb
4611 r-genomicfeatures
4612 r-genomicranges
4613 r-iranges
4614 r-protgenerics
4615 r-rsamtools
4616 r-rsqlite
4617 r-rtracklayer
4618 r-s4vectors))
4619 (native-inputs
4620 (list r-knitr))
4621 (home-page "https://github.com/jotsetung/ensembldb")
4622 (synopsis "Utilities to create and use Ensembl-based annotation databases")
4623 (description
4624 "The package provides functions to create and use transcript-centric
4625 annotation databases/packages. The annotation for the databases are directly
4626 fetched from Ensembl using their Perl API. The functionality and data is
4627 similar to that of the TxDb packages from the @code{GenomicFeatures} package,
4628 but, in addition to retrieve all gene/transcript models and annotations from
4629 the database, the @code{ensembldb} package also provides a filter framework
4630 allowing to retrieve annotations for specific entries like genes encoded on a
4631 chromosome region or transcript models of lincRNA genes.")
4632 ;; No version specified
4633 (license license:lgpl3+)))
4634
4635 (define-public r-fastseg
4636 (package
4637 (name "r-fastseg")
4638 (version "1.42.0")
4639 (source
4640 (origin
4641 (method url-fetch)
4642 (uri (bioconductor-uri "fastseg" version))
4643 (sha256
4644 (base32
4645 "1cr1b1jbgp1z1zpf71kl7mljbm2jpi6b97bf3bll3gnagfm489hy"))))
4646 (build-system r-build-system)
4647 (propagated-inputs
4648 (list r-biobase r-biocgenerics r-genomicranges r-iranges
4649 r-s4vectors))
4650 (home-page "https://www.bioinf.jku.at/software/fastseg/index.html")
4651 (synopsis "Fast segmentation algorithm for genetic sequencing data")
4652 (description
4653 "Fastseg implements a very fast and efficient segmentation algorithm.
4654 It can segment data from DNA microarrays and data from next generation
4655 sequencing for example to detect copy number segments. Further it can segment
4656 data from RNA microarrays like tiling arrays to identify transcripts. Most
4657 generally, it can segment data given as a matrix or as a vector. Various data
4658 formats can be used as input to fastseg like expression set objects for
4659 microarrays or GRanges for sequencing data.")
4660 (license license:lgpl2.0+)))
4661
4662 (define-public r-gage
4663 (package
4664 (name "r-gage")
4665 (version "2.46.1")
4666 (source
4667 (origin
4668 (method url-fetch)
4669 (uri (bioconductor-uri "gage" version))
4670 (sha256
4671 (base32
4672 "01y04jcy7a9fksyhj0nq37n1inkrpqf4qv117lflvipbx0dsw4gl"))))
4673 (build-system r-build-system)
4674 (propagated-inputs
4675 (list r-annotationdbi r-go-db r-graph r-keggrest))
4676 (home-page (string-append "https://bmcbioinformatics.biomedcentral.com/"
4677 "articles/10.1186/1471-2105-10-161"))
4678 (synopsis "Generally applicable gene-set enrichment for pathway analysis")
4679 (description
4680 "GAGE is a published method for gene set (enrichment or GSEA) or pathway
4681 analysis. GAGE is generally applicable independent of microarray or RNA-Seq
4682 data attributes including sample sizes, experimental designs, assay platforms,
4683 and other types of heterogeneity. The gage package provides functions for
4684 basic GAGE analysis, result processing and presentation. In addition, it
4685 provides demo microarray data and commonly used gene set data based on KEGG
4686 pathways and GO terms. These functions and data are also useful for gene set
4687 analysis using other methods.")
4688 (license license:gpl2+)))
4689
4690 (define-public r-genefilter
4691 (package
4692 (name "r-genefilter")
4693 (version "1.78.0")
4694 (source
4695 (origin
4696 (method url-fetch)
4697 (uri (bioconductor-uri "genefilter" version))
4698 (sha256
4699 (base32
4700 "1lp3alnljhsil8zylf8rvf8ik4wmsyciy3ij4rr9l4191dkkp4aq"))))
4701 (build-system r-build-system)
4702 (native-inputs
4703 (list gfortran r-knitr))
4704 (propagated-inputs
4705 (list r-annotate r-annotationdbi r-biobase r-biocgenerics
4706 r-survival))
4707 (home-page "https://bioconductor.org/packages/genefilter")
4708 (synopsis "Filter genes from high-throughput experiments")
4709 (description
4710 "This package provides basic functions for filtering genes from
4711 high-throughput sequencing experiments.")
4712 (license license:artistic2.0)))
4713
4714 (define-public r-geneoverlap
4715 (package
4716 (name "r-geneoverlap")
4717 (version "1.32.0")
4718 (source (origin
4719 (method url-fetch)
4720 (uri (bioconductor-uri "GeneOverlap" version))
4721 (sha256
4722 (base32
4723 "0nqwa3x9q1hl9nm06hqzzrn00rirc9kj6s320csjlf7x6rcidr93"))))
4724 (build-system r-build-system)
4725 (propagated-inputs
4726 (list r-rcolorbrewer r-gplots))
4727 (home-page "https://www.bioconductor.org/packages/GeneOverlap/")
4728 (synopsis "Test and visualize gene overlaps")
4729 (description "This package can be used to test two sets of gene lists
4730 and visualize the results.")
4731 (license license:gpl3)))
4732
4733 (define-public r-genomation
4734 (package
4735 (name "r-genomation")
4736 (version "1.28.0")
4737 (source (origin
4738 (method url-fetch)
4739 (uri (bioconductor-uri "genomation" version))
4740 (sha256
4741 (base32
4742 "0rvay7gs4g2wi6h42kln8xwy9b05axj1x8mkfayl6pnnlva6xj79"))))
4743 (build-system r-build-system)
4744 (propagated-inputs
4745 (list r-biostrings
4746 r-bsgenome
4747 r-data-table
4748 r-genomeinfodb
4749 r-genomicalignments
4750 r-genomicranges
4751 r-ggplot2
4752 r-gridbase
4753 r-impute
4754 r-iranges
4755 r-matrixstats
4756 r-plotrix
4757 r-plyr
4758 r-rcpp
4759 r-readr
4760 r-reshape2
4761 r-rsamtools
4762 r-rtracklayer
4763 r-s4vectors
4764 r-seqpattern))
4765 (native-inputs
4766 (list r-knitr))
4767 (home-page "https://bioinformatics.mdc-berlin.de/genomation/")
4768 (synopsis "Summary, annotation and visualization of genomic data")
4769 (description
4770 "This package provides a package for summary and annotation of genomic
4771 intervals. Users can visualize and quantify genomic intervals over
4772 pre-defined functional regions, such as promoters, exons, introns, etc. The
4773 genomic intervals represent regions with a defined chromosome position, which
4774 may be associated with a score, such as aligned reads from HT-seq experiments,
4775 TF binding sites, methylation scores, etc. The package can use any tabular
4776 genomic feature data as long as it has minimal information on the locations of
4777 genomic intervals. In addition, it can use BAM or BigWig files as input.")
4778 (license license:artistic2.0)))
4779
4780 (define-public r-genomeinfodb
4781 (package
4782 (name "r-genomeinfodb")
4783 (version "1.32.4")
4784 (source (origin
4785 (method url-fetch)
4786 (uri (bioconductor-uri "GenomeInfoDb" version))
4787 (sha256
4788 (base32
4789 "0z2bqr0zrl3r2kcqs72ny8p1psf8w1sgbr7qjjknxdv1qp8m2j7v"))))
4790 (properties
4791 `((upstream-name . "GenomeInfoDb")))
4792 (build-system r-build-system)
4793 (propagated-inputs
4794 (list r-biocgenerics r-genomeinfodbdata r-iranges r-rcurl
4795 r-s4vectors))
4796 (native-inputs
4797 (list r-knitr))
4798 (home-page "https://bioconductor.org/packages/GenomeInfoDb")
4799 (synopsis "Utilities for manipulating chromosome identifiers")
4800 (description
4801 "This package contains data and functions that define and allow
4802 translation between different chromosome sequence naming conventions (e.g.,
4803 \"chr1\" versus \"1\"), including a function that attempts to place sequence
4804 names in their natural, rather than lexicographic, order.")
4805 (license license:artistic2.0)))
4806
4807 (define-public r-genomicalignments
4808 (package
4809 (name "r-genomicalignments")
4810 (version "1.32.1")
4811 (source (origin
4812 (method url-fetch)
4813 (uri (bioconductor-uri "GenomicAlignments" version))
4814 (sha256
4815 (base32
4816 "09pg7822camyav5zvlpv360sj5gz8q1bhk528qa2da2qsz74a3cz"))))
4817 (properties
4818 `((upstream-name . "GenomicAlignments")))
4819 (build-system r-build-system)
4820 (propagated-inputs
4821 (list r-biocgenerics
4822 r-biocparallel
4823 r-biostrings
4824 r-genomeinfodb
4825 r-genomicranges
4826 r-iranges
4827 r-rsamtools
4828 r-s4vectors
4829 r-summarizedexperiment))
4830 (home-page "https://bioconductor.org/packages/GenomicAlignments")
4831 (synopsis "Representation and manipulation of short genomic alignments")
4832 (description
4833 "This package provides efficient containers for storing and manipulating
4834 short genomic alignments (typically obtained by aligning short reads to a
4835 reference genome). This includes read counting, computing the coverage,
4836 junction detection, and working with the nucleotide content of the
4837 alignments.")
4838 (license license:artistic2.0)))
4839
4840 (define-public r-genomicfeatures
4841 (package
4842 (name "r-genomicfeatures")
4843 (version "1.48.4")
4844 (source (origin
4845 (method url-fetch)
4846 (uri (bioconductor-uri "GenomicFeatures" version))
4847 (sha256
4848 (base32
4849 "15kn5lmdqp7rsh2zlixj7ashsqnv50bs36hapw36qbaz9vgvim4v"))))
4850 (properties
4851 `((upstream-name . "GenomicFeatures")))
4852 (build-system r-build-system)
4853 (propagated-inputs
4854 (list r-annotationdbi
4855 r-biobase
4856 r-biocgenerics
4857 r-biocio
4858 r-biomart
4859 r-biostrings
4860 r-dbi
4861 r-genomeinfodb
4862 r-genomicranges
4863 r-iranges
4864 r-rcurl
4865 r-rsqlite
4866 r-rtracklayer
4867 r-s4vectors
4868 r-xvector))
4869 (native-inputs
4870 (list r-knitr))
4871 (home-page "https://bioconductor.org/packages/GenomicFeatures")
4872 (synopsis "Tools for working with transcript centric annotations")
4873 (description
4874 "This package provides a set of tools and methods for making and
4875 manipulating transcript centric annotations. With these tools the user can
4876 easily download the genomic locations of the transcripts, exons and cds of a
4877 given organism, from either the UCSC Genome Browser or a BioMart
4878 database (more sources will be supported in the future). This information is
4879 then stored in a local database that keeps track of the relationship between
4880 transcripts, exons, cds and genes. Flexible methods are provided for
4881 extracting the desired features in a convenient format.")
4882 (license license:artistic2.0)))
4883
4884 (define-public r-genomicfiles
4885 (package
4886 (name "r-genomicfiles")
4887 (version "1.32.1")
4888 (source
4889 (origin
4890 (method url-fetch)
4891 (uri (bioconductor-uri "GenomicFiles" version))
4892 (sha256
4893 (base32
4894 "06ycfna26klx27vvsnlpgv46bymfrc8z0zkpag7nm4m23153ivkz"))))
4895 (properties `((upstream-name . "GenomicFiles")))
4896 (build-system r-build-system)
4897 (propagated-inputs
4898 (list r-biocgenerics
4899 r-biocparallel
4900 r-genomeinfodb
4901 r-genomicalignments
4902 r-genomicranges
4903 r-iranges
4904 r-matrixgenerics
4905 r-rsamtools
4906 r-rtracklayer
4907 r-s4vectors
4908 r-summarizedexperiment
4909 r-variantannotation))
4910 (home-page "https://bioconductor.org/packages/GenomicFiles")
4911 (synopsis "Distributed computing by file or by range")
4912 (description
4913 "This package provides infrastructure for parallel computations
4914 distributed by file or by range. User defined mapper and reducer functions
4915 provide added flexibility for data combination and manipulation.")
4916 (license license:artistic2.0)))
4917
4918 (define-public r-genomicranges
4919 (package
4920 (name "r-genomicranges")
4921 (version "1.48.0")
4922 (source (origin
4923 (method url-fetch)
4924 (uri (bioconductor-uri "GenomicRanges" version))
4925 (sha256
4926 (base32
4927 "088rv1aclwq265pdg4hmks73nl0125vk0vigyi44n3djkrdx48yn"))))
4928 (properties
4929 `((upstream-name . "GenomicRanges")))
4930 (build-system r-build-system)
4931 (propagated-inputs
4932 (list r-biocgenerics r-genomeinfodb r-iranges r-s4vectors r-xvector))
4933 (native-inputs
4934 (list r-knitr))
4935 (home-page "https://bioconductor.org/packages/GenomicRanges")
4936 (synopsis "Representation and manipulation of genomic intervals")
4937 (description
4938 "This package provides tools to efficiently represent and manipulate
4939 genomic annotations and alignments is playing a central role when it comes to
4940 analyzing high-throughput sequencing data (a.k.a. NGS data). The
4941 GenomicRanges package defines general purpose containers for storing and
4942 manipulating genomic intervals and variables defined along a genome.")
4943 (license license:artistic2.0)))
4944
4945 (define-public r-gostats
4946 (package
4947 (name "r-gostats")
4948 (version "2.62.0")
4949 (source
4950 (origin
4951 (method url-fetch)
4952 (uri (bioconductor-uri "GOstats" version))
4953 (sha256
4954 (base32
4955 "121ly9vifarg8y7mc468571bbs0xv4sx6sflm5zcdqf0p83yvjrm"))))
4956 (properties `((upstream-name . "GOstats")))
4957 (build-system r-build-system)
4958 (propagated-inputs
4959 (list r-annotate
4960 r-annotationdbi
4961 r-annotationforge
4962 r-biobase
4963 r-category
4964 r-go-db
4965 r-graph
4966 r-rgraphviz
4967 r-rbgl))
4968 (home-page "https://bioconductor.org/packages/GOstats")
4969 (synopsis "Tools for manipulating GO and microarrays")
4970 (description
4971 "This package provides a set of tools for interacting with GO and
4972 microarray data. A variety of basic manipulation tools for graphs, hypothesis
4973 testing and other simple calculations.")
4974 (license license:artistic2.0)))
4975
4976 (define-public r-gseabase
4977 (package
4978 (name "r-gseabase")
4979 (version "1.58.0")
4980 (source
4981 (origin
4982 (method url-fetch)
4983 (uri (bioconductor-uri "GSEABase" version))
4984 (sha256
4985 (base32
4986 "1qhvgyg392fd98h2qnmfmhg7mil5hp9cy3qmkqs4x1bhpv1m978g"))))
4987 (properties `((upstream-name . "GSEABase")))
4988 (build-system r-build-system)
4989 (propagated-inputs
4990 (list r-annotate
4991 r-annotationdbi
4992 r-biobase
4993 r-biocgenerics
4994 r-graph
4995 r-xml))
4996 (native-inputs
4997 (list r-knitr))
4998 (home-page "https://bioconductor.org/packages/GSEABase")
4999 (synopsis "Gene set enrichment data structures and methods")
5000 (description
5001 "This package provides classes and methods to support @dfn{Gene Set
5002 Enrichment Analysis} (GSEA).")
5003 (license license:artistic2.0)))
5004
5005 (define-public r-hpar
5006 (package
5007 (name "r-hpar")
5008 (version "1.38.0")
5009 (source
5010 (origin
5011 (method url-fetch)
5012 (uri (bioconductor-uri "hpar" version))
5013 (sha256
5014 (base32
5015 "07c6r703d5xp7y9bqmqalxgna2qrbk1h5s0d992m7360k259mgrj"))))
5016 (build-system r-build-system)
5017 (native-inputs
5018 (list r-knitr))
5019 (home-page "https://bioconductor.org/packages/hpar/")
5020 (synopsis "Human Protein Atlas in R")
5021 (description "This package provides a simple interface to and data from
5022 the Human Protein Atlas project.")
5023 (license license:artistic2.0)))
5024
5025 (define-public r-rhtslib
5026 (package
5027 (name "r-rhtslib")
5028 (version "1.28.0")
5029 (source
5030 (origin
5031 (method url-fetch)
5032 (uri (bioconductor-uri "Rhtslib" version))
5033 (sha256
5034 (base32
5035 "07kws6afkxbmxq4w357mwwl712pdd16alvz7iqijjd2x7rjchj2f"))))
5036 (properties `((upstream-name . "Rhtslib")))
5037 (build-system r-build-system)
5038 ;; Without this a temporary directory ends up in the Rhtslib.so binary,
5039 ;; which makes R abort the build.
5040 (arguments '(#:configure-flags '("--no-staged-install")))
5041 (propagated-inputs
5042 (list curl zlib ; packages using rhtslib need to link with zlib
5043 r-zlibbioc))
5044 (native-inputs
5045 (list pkg-config r-knitr))
5046 (home-page "https://github.com/nhayden/Rhtslib")
5047 (synopsis "High-throughput sequencing library as an R package")
5048 (description
5049 "This package provides the HTSlib C library for high-throughput
5050 nucleotide sequence analysis. The package is primarily useful to developers
5051 of other R packages who wish to make use of HTSlib.")
5052 (license license:lgpl2.0+)))
5053
5054 (define-public r-impute
5055 (package
5056 (name "r-impute")
5057 (version "1.70.0")
5058 (source (origin
5059 (method url-fetch)
5060 (uri (bioconductor-uri "impute" version))
5061 (sha256
5062 (base32
5063 "11b0z7py0im6y43k55xpzz5jnvc0ram9rk3n1n4mwhvs0vhy39r2"))))
5064 (native-inputs
5065 (list gfortran))
5066 (build-system r-build-system)
5067 (home-page "https://bioconductor.org/packages/impute")
5068 (synopsis "Imputation for microarray data")
5069 (description
5070 "This package provides a function to impute missing gene expression
5071 microarray data, using nearest neighbor averaging.")
5072 (license license:gpl2+)))
5073
5074 (define-public r-interactivedisplaybase
5075 (package
5076 (name "r-interactivedisplaybase")
5077 (version "1.34.0")
5078 (source
5079 (origin
5080 (method url-fetch)
5081 (uri (bioconductor-uri "interactiveDisplayBase" version))
5082 (sha256
5083 (base32
5084 "0fdwx5ch0ch8axdkfiq7zzhhq5hwcvd6kf8fggw9nd3ah1yjwbdg"))))
5085 (properties
5086 `((upstream-name . "interactiveDisplayBase")))
5087 (build-system r-build-system)
5088 (propagated-inputs
5089 (list r-biocgenerics r-dt r-shiny))
5090 (native-inputs
5091 (list r-knitr))
5092 (home-page "https://bioconductor.org/packages/interactiveDisplayBase")
5093 (synopsis "Base package for web displays of Bioconductor objects")
5094 (description
5095 "This package contains the basic methods needed to generate interactive
5096 Shiny-based display methods for Bioconductor objects.")
5097 (license license:artistic2.0)))
5098
5099 (define-public r-keggrest
5100 (package
5101 (name "r-keggrest")
5102 (version "1.36.3")
5103 (source
5104 (origin
5105 (method url-fetch)
5106 (uri (bioconductor-uri "KEGGREST" version))
5107 (sha256
5108 (base32
5109 "0lzb3z6pzm323q70931b7220ygml7jb4g81dybwa79wqiqz15pni"))))
5110 (properties `((upstream-name . "KEGGREST")))
5111 (build-system r-build-system)
5112 (propagated-inputs
5113 (list r-biostrings r-httr r-png))
5114 (native-inputs
5115 (list r-knitr))
5116 (home-page "https://bioconductor.org/packages/KEGGREST")
5117 (synopsis "Client-side REST access to KEGG")
5118 (description
5119 "This package provides a package that provides a client interface to the
5120 @dfn{Kyoto Encyclopedia of Genes and Genomes} (KEGG) REST server.")
5121 (license license:artistic2.0)))
5122
5123 (define-public r-lfa
5124 (package
5125 (name "r-lfa")
5126 (version "1.26.0")
5127 (source
5128 (origin
5129 (method url-fetch)
5130 (uri (bioconductor-uri "lfa" version))
5131 (sha256
5132 (base32 "044866h4fnxmzb3sh9vmrd2smgsbcqgvd19dgwxisi418cad577l"))))
5133 (properties `((upstream-name . "lfa")))
5134 (build-system r-build-system)
5135 (propagated-inputs (list r-corpcor))
5136 (native-inputs (list r-knitr))
5137 (home-page "https://github.com/StoreyLab/lfa")
5138 (synopsis "Logistic Factor Analysis for categorical data")
5139 (description
5140 "@dfn{Logistic Factor Analysis} (LFA) is a method for a PCA analogue on
5141 Binomial data via estimation of latent structure in the natural parameter.")
5142 (license license:gpl3)))
5143
5144 (define-public r-limma
5145 (package
5146 (name "r-limma")
5147 (version "3.52.4")
5148 (source (origin
5149 (method url-fetch)
5150 (uri (bioconductor-uri "limma" version))
5151 (sha256
5152 (base32
5153 "14xy3qyra2crz31sxgz768mhnhhvcpfhfcigf4xsii643lqcz75h"))))
5154 (build-system r-build-system)
5155 (home-page "http://bioinf.wehi.edu.au/limma")
5156 (synopsis "Package for linear models for microarray and RNA-seq data")
5157 (description "This package can be used for the analysis of gene expression
5158 studies, especially the use of linear models for analysing designed experiments
5159 and the assessment of differential expression. The analysis methods apply to
5160 different technologies, including microarrays, RNA-seq, and quantitative PCR.")
5161 (license license:gpl2+)))
5162
5163 (define-public r-made4
5164 (package
5165 (name "r-made4")
5166 (version "1.70.0")
5167 (source (origin
5168 (method url-fetch)
5169 (uri (bioconductor-uri "made4" version))
5170 (sha256
5171 (base32
5172 "1wrv9d2mp799qzy1bsaj4w7wx12gdhfv9qvklz7z41vfz59d6bq5"))))
5173 (properties `((upstream-name . "made4")))
5174 (build-system r-build-system)
5175 (propagated-inputs
5176 (list r-ade4
5177 r-biobase
5178 r-gplots
5179 r-rcolorbrewer
5180 r-scatterplot3d
5181 r-summarizedexperiment))
5182 (native-inputs (list r-knitr))
5183 (home-page "http://www.hsph.harvard.edu/aedin-culhane/")
5184 (synopsis "Multivariate analysis of microarray data using ADE4")
5185 (description
5186 "This is a package for multivariate data analysis and graphical display
5187 of microarray data. Functions are included for supervised dimension
5188 reduction (between group analysis) and joint dimension reduction of two
5189 datasets (coinertia analysis).")
5190 (license license:artistic2.0)))
5191
5192 (define-public r-methylkit
5193 (package
5194 (name "r-methylkit")
5195 (version "1.22.0")
5196 (source (origin
5197 (method url-fetch)
5198 (uri (bioconductor-uri "methylKit" version))
5199 (sha256
5200 (base32
5201 "00asjzv05avfg0rrkmfbdqd6xx8d18zi72n3b1kf9wj81z2d2a35"))))
5202 (properties `((upstream-name . "methylKit")))
5203 (build-system r-build-system)
5204 (propagated-inputs
5205 (list r-data-table
5206 r-emdbook
5207 r-fastseg
5208 r-genomeinfodb
5209 r-genomicranges
5210 r-gtools
5211 r-iranges
5212 r-kernsmooth
5213 r-limma
5214 r-mclust
5215 r-mgcv
5216 r-qvalue
5217 r-r-utils
5218 r-rcpp
5219 r-rhtslib
5220 r-rsamtools
5221 r-rtracklayer
5222 r-s4vectors
5223 r-zlibbioc))
5224 (native-inputs
5225 (list r-knitr)) ; for vignettes
5226 (home-page "https://github.com/al2na/methylKit")
5227 (synopsis
5228 "DNA methylation analysis from high-throughput bisulfite sequencing results")
5229 (description
5230 "MethylKit is an R package for DNA methylation analysis and annotation
5231 from high-throughput bisulfite sequencing. The package is designed to deal
5232 with sequencing data from @dfn{Reduced representation bisulfite
5233 sequencing} (RRBS) and its variants, but also target-capture methods and whole
5234 genome bisulfite sequencing. It also has functions to analyze base-pair
5235 resolution 5hmC data from experimental protocols such as oxBS-Seq and
5236 TAB-Seq.")
5237 (license license:artistic2.0)))
5238
5239 (define-public r-motifrg
5240 (package
5241 (name "r-motifrg")
5242 (version "1.31.0")
5243 (source
5244 (origin
5245 (method url-fetch)
5246 (uri (bioconductor-uri "motifRG" version))
5247 (sha256
5248 (base32
5249 "1ml6zyzlk8yjbnfhga2qnw8nl43rankvka0kc1yljxr2b66aqbhn"))))
5250 (properties `((upstream-name . "motifRG")))
5251 (build-system r-build-system)
5252 (propagated-inputs
5253 (list r-biostrings
5254 r-bsgenome
5255 r-bsgenome-hsapiens-ucsc-hg19
5256 r-iranges
5257 r-seqlogo
5258 r-xvector))
5259 (home-page "https://bioconductor.org/packages/motifRG")
5260 (synopsis "Discover motifs in high throughput sequencing data")
5261 (description
5262 "This package provides tools for discriminative motif discovery in high
5263 throughput genetic sequencing data sets using regression methods.")
5264 (license license:artistic2.0)))
5265
5266 (define-public r-muscat
5267 (package
5268 (name "r-muscat")
5269 (version "1.10.1")
5270 (source
5271 (origin
5272 (method url-fetch)
5273 (uri (bioconductor-uri "muscat" version))
5274 (sha256
5275 (base32
5276 "1j3zkhqgza92vdykb1yia1jjwsdqra6q9c0jk6p5p2x0778xqgfd"))))
5277 (properties `((upstream-name . "muscat")))
5278 (build-system r-build-system)
5279 (propagated-inputs
5280 (list r-biocparallel
5281 r-blme
5282 r-complexheatmap
5283 r-data-table
5284 r-deseq2
5285 r-dplyr
5286 r-edger
5287 r-ggplot2
5288 r-glmmtmb
5289 r-limma
5290 r-lme4
5291 r-lmertest
5292 r-matrix
5293 r-matrixstats
5294 r-progress
5295 r-purrr
5296 r-s4vectors
5297 r-scales
5298 r-scater
5299 r-sctransform
5300 r-scuttle
5301 r-singlecellexperiment
5302 r-summarizedexperiment
5303 r-variancepartition
5304 r-viridis))
5305 (native-inputs (list r-knitr))
5306 (home-page "https://github.com/HelenaLC/muscat")
5307 (synopsis "Multi-sample multi-group scRNA-seq data analysis tools")
5308 (description
5309 "This package @code{muscat} provides various methods and visualization tools
5310 for @dfn{DS}(differential splicing) analysis in multi-sample, multi-group,
5311 multi-(cell-)subpopulation scRNA-seq data, including cell-level mixed models and
5312 methods based on aggregated \"pseudobulk\" data, as well as a flexible simulation
5313 platform that mimics both single and multi-sample scRNA-seq data.")
5314 (license license:gpl3)))
5315
5316 (define-public r-mutationalpatterns
5317 (package
5318 (name "r-mutationalpatterns")
5319 (version "3.6.0")
5320 (source
5321 (origin
5322 (method url-fetch)
5323 (uri (bioconductor-uri "MutationalPatterns" version))
5324 (sha256
5325 (base32
5326 "113b2hrc0n47qz144xhky93jcm6qh6flzadq5y0plga5jrz0rnwg"))))
5327 (build-system r-build-system)
5328 (native-inputs
5329 (list r-knitr))
5330 (propagated-inputs
5331 (list r-biocgenerics
5332 r-biostrings
5333 r-bsgenome
5334 ;; These two packages are suggested packages
5335 r-bsgenome-hsapiens-1000genomes-hs37d5
5336 r-bsgenome-hsapiens-ucsc-hg19
5337 r-cowplot
5338 r-dplyr
5339 r-genomeinfodb
5340 r-genomicranges
5341 r-ggalluvial
5342 r-ggdendro
5343 r-ggplot2
5344 r-iranges
5345 r-magrittr
5346 r-nmf
5347 r-pracma
5348 r-purrr
5349 r-rcolorbrewer
5350 r-s4vectors
5351 r-stringr
5352 r-tibble
5353 r-tidyr
5354 r-variantannotation))
5355 (home-page "https://bioconductor.org/packages/MutationalPatterns/")
5356 (synopsis "Extract and visualize mutational patterns in genomic data")
5357 (description "This package provides an extensive toolset for the
5358 characterization and visualization of a wide range of mutational patterns
5359 in SNV base substitution data.")
5360 (license license:expat)))
5361
5362 (define-public r-msnbase
5363 (package
5364 (name "r-msnbase")
5365 (version "2.22.0")
5366 (source
5367 (origin
5368 (method url-fetch)
5369 (uri (bioconductor-uri "MSnbase" version))
5370 (sha256
5371 (base32
5372 "1xzn0k3c2wn6c6gv90hddy3c201sg927342zrw9ig2xap0r053x3"))))
5373 (properties `((upstream-name . "MSnbase")))
5374 (build-system r-build-system)
5375 (propagated-inputs
5376 (list r-affy
5377 r-biobase
5378 r-biocgenerics
5379 r-biocparallel
5380 r-digest
5381 r-ggplot2
5382 r-impute
5383 r-iranges
5384 r-lattice
5385 r-maldiquant
5386 r-mass
5387 r-mscoreutils
5388 r-mzid
5389 r-mzr
5390 r-pcamethods
5391 r-plyr
5392 r-protgenerics
5393 r-rcpp
5394 r-s4vectors
5395 r-scales
5396 r-vsn
5397 r-xml))
5398 (native-inputs
5399 (list r-knitr))
5400 (home-page "https://github.com/lgatto/MSnbase")
5401 (synopsis "Base functions and classes for MS-based proteomics")
5402 (description
5403 "This package provides basic plotting, data manipulation and processing
5404 of mass spectrometry based proteomics data.")
5405 (license license:artistic2.0)))
5406
5407 (define-public r-msnid
5408 (package
5409 (name "r-msnid")
5410 (version "1.30.0")
5411 (source
5412 (origin
5413 (method url-fetch)
5414 (uri (bioconductor-uri "MSnID" version))
5415 (sha256
5416 (base32
5417 "1yiw95p40nz0pvq7s4i0xg02r9yqmnknak00z4lkw8jij3w3rkkq"))))
5418 (properties `((upstream-name . "MSnID")))
5419 (build-system r-build-system)
5420 (arguments
5421 `(#:phases
5422 (modify-phases %standard-phases
5423 (add-after 'unpack 'set-HOME
5424 (lambda _ (setenv "HOME" "/tmp"))))))
5425 (propagated-inputs
5426 (list r-annotationdbi
5427 r-annotationhub
5428 r-biobase
5429 r-biocgenerics
5430 r-biocstyle
5431 r-biostrings
5432 r-data-table
5433 r-doparallel
5434 r-dplyr
5435 r-foreach
5436 r-ggplot2
5437 r-iterators
5438 r-msnbase
5439 r-msmstests
5440 r-mzid
5441 r-mzr
5442 r-protgenerics
5443 r-purrr
5444 r-r-cache
5445 r-rcpp
5446 r-reshape2
5447 r-rlang
5448 r-runit
5449 r-stringr
5450 r-tibble
5451 r-xtable))
5452 (home-page "https://bioconductor.org/packages/MSnID")
5453 (synopsis "Utilities for LC-MSn proteomics identifications")
5454 (description
5455 "This package extracts @dfn{tandem mass spectrometry} (MS/MS) ID data
5456 from mzIdentML (leveraging the mzID package) or text files. After collating
5457 the search results from multiple datasets it assesses their identification
5458 quality and optimize filtering criteria to achieve the maximum number of
5459 identifications while not exceeding a specified false discovery rate. It also
5460 contains a number of utilities to explore the MS/MS results and assess missed
5461 and irregular enzymatic cleavages, mass measurement accuracy, etc.")
5462 (license license:artistic2.0)))
5463
5464 (define-public r-mzid
5465 (package
5466 (name "r-mzid")
5467 (version "1.34.0")
5468 (source
5469 (origin
5470 (method url-fetch)
5471 (uri (bioconductor-uri "mzID" version))
5472 (sha256
5473 (base32
5474 "1q1aqyya9nd494s7m3rdaf3kixipdrwbj825g40kdljwrg85y961"))))
5475 (properties `((upstream-name . "mzID")))
5476 (build-system r-build-system)
5477 (propagated-inputs
5478 (list r-doparallel
5479 r-foreach
5480 r-iterators
5481 r-plyr
5482 r-protgenerics
5483 r-xml))
5484 (native-inputs
5485 (list r-knitr))
5486 (home-page "https://bioconductor.org/packages/mzID")
5487 (synopsis "Parser for mzIdentML files")
5488 (description
5489 "This package provides a parser for mzIdentML files implemented using the
5490 XML package. The parser tries to be general and able to handle all types of
5491 mzIdentML files with the drawback of having less pretty output than a vendor
5492 specific parser.")
5493 (license license:gpl2+)))
5494
5495 (define-public r-mzr
5496 (package
5497 (name "r-mzr")
5498 (version "2.30.0")
5499 (source
5500 (origin
5501 (method url-fetch)
5502 (uri (bioconductor-uri "mzR" version))
5503 (sha256
5504 (base32
5505 "1dqa03hb42kbqfg15ksijdkyf9pr54gcl3in4mzjkld5sdi8ncds"))
5506 (modules '((guix build utils)))
5507 (snippet
5508 '(delete-file-recursively "src/boost"))))
5509 (properties `((upstream-name . "mzR")))
5510 (build-system r-build-system)
5511 (arguments
5512 `(#:phases
5513 (modify-phases %standard-phases
5514 (add-after 'unpack 'use-system-boost
5515 (lambda _
5516 (substitute* "src/Makevars"
5517 (("\\./boost/libs.*") "")
5518 (("PKG_LIBS=") "PKG_LIBS=$(BOOST_LIBS) ")
5519 (("\\ARCH_OBJS=" line)
5520 (string-append line
5521 "\nBOOST_LIBS=-lboost_system -lboost_regex \
5522 -lboost_iostreams -lboost_thread -lboost_filesystem -lboost_chrono\n"))))))))
5523 (inputs
5524 (list boost ; use this instead of the bundled boost sources
5525 zlib))
5526 (propagated-inputs
5527 (list r-biobase
5528 r-biocgenerics
5529 r-ncdf4
5530 r-protgenerics
5531 r-rcpp
5532 r-rhdf5lib))
5533 (native-inputs
5534 (list r-knitr))
5535 (home-page "https://github.com/sneumann/mzR/")
5536 (synopsis "Parser for mass spectrometry data files")
5537 (description
5538 "The mzR package provides a unified API to the common file formats and
5539 parsers available for mass spectrometry data. It comes with a wrapper for the
5540 ISB random access parser for mass spectrometry mzXML, mzData and mzML files.
5541 The package contains the original code written by the ISB, and a subset of the
5542 proteowizard library for mzML and mzIdentML. The netCDF reading code has
5543 previously been used in XCMS.")
5544 (license license:artistic2.0)))
5545
5546 (define-public r-organism-dplyr
5547 (package
5548 (name "r-organism-dplyr")
5549 (version "1.24.0")
5550 (source
5551 (origin
5552 (method url-fetch)
5553 (uri (bioconductor-uri "Organism.dplyr" version))
5554 (sha256
5555 (base32
5556 "0j29f85d66c45ww3417xx376vpz0mmvga5n7h2cl1sd4h70b55as"))))
5557 (properties `((upstream-name . "Organism.dplyr")))
5558 (build-system r-build-system)
5559 (propagated-inputs
5560 (list r-annotationdbi
5561 r-annotationfilter
5562 r-biocfilecache
5563 r-dbi
5564 r-dbplyr
5565 r-dplyr
5566 r-genomeinfodb
5567 r-genomicfeatures
5568 r-genomicranges
5569 r-iranges
5570 r-rlang
5571 r-rsqlite
5572 r-s4vectors
5573 r-tibble))
5574 (native-inputs (list r-knitr))
5575 (home-page "https://bioconductor.org/packages/Organism.dplyr")
5576 (synopsis "Dplyr-based access to Bioconductor annotation resources")
5577 (description
5578 "This package provides an alternative interface to Bioconductor @code{
5579 annotation} resources, in particular the gene identifier mapping functionality
5580 of the @code{org} packages (e.g., @code{org.Hs.eg.db}) and the genome coordinate
5581 functionality of the @code{TxDb} packages (e.g.,
5582 @code{TxDb.Hsapiens.UCSC.hg38.knownGene}).")
5583 (license license:artistic2.0)))
5584
5585 (define-public r-organismdbi
5586 (package
5587 (name "r-organismdbi")
5588 (version "1.38.1")
5589 (source
5590 (origin
5591 (method url-fetch)
5592 (uri (bioconductor-uri "OrganismDbi" version))
5593 (sha256
5594 (base32
5595 "0mxnxj8x4hc21psz39mf7qwvh1fsn6qyjgl5qffk1xxmasf69619"))))
5596 (properties `((upstream-name . "OrganismDbi")))
5597 (build-system r-build-system)
5598 (propagated-inputs
5599 (list r-annotationdbi
5600 r-biobase
5601 r-biocgenerics
5602 r-biocmanager
5603 r-dbi
5604 r-genomicfeatures
5605 r-genomicranges
5606 r-graph
5607 r-iranges
5608 r-rbgl
5609 r-s4vectors))
5610 (home-page "https://bioconductor.org/packages/OrganismDbi")
5611 (synopsis "Software to enable the smooth interfacing of database packages")
5612 (description "The package enables a simple unified interface to several
5613 annotation packages each of which has its own schema by taking advantage of
5614 the fact that each of these packages implements a select methods.")
5615 (license license:artistic2.0)))
5616
5617 (define-public r-pcaexplorer
5618 (package
5619 (name "r-pcaexplorer")
5620 (version "2.22.0")
5621 (source
5622 (origin
5623 (method url-fetch)
5624 (uri (bioconductor-uri "pcaExplorer" version))
5625 (sha256
5626 (base32
5627 "0xkafpi6y5n8hljdaj183hd5z4ik7lpbklg2cbx1hwfz4n4hh1bl"))))
5628 (properties `((upstream-name . "pcaExplorer")))
5629 (build-system r-build-system)
5630 (propagated-inputs
5631 (list r-annotationdbi
5632 r-base64enc
5633 r-biomart
5634 r-deseq2
5635 r-dt
5636 r-genefilter
5637 r-genomicranges
5638 r-ggplot2
5639 r-ggrepel
5640 r-go-db
5641 r-gostats
5642 r-heatmaply
5643 r-iranges
5644 r-knitr
5645 r-limma
5646 r-nmf
5647 r-pheatmap
5648 r-plotly
5649 r-plyr
5650 r-rmarkdown
5651 r-s4vectors
5652 r-scales
5653 r-shiny
5654 r-shinyace
5655 r-shinybs
5656 r-shinydashboard
5657 r-summarizedexperiment
5658 r-threejs
5659 r-tidyr
5660 r-topgo))
5661 (native-inputs (list r-knitr))
5662 (home-page "https://github.com/federicomarini/pcaExplorer")
5663 (synopsis
5664 "Interactive Visualization of RNA-seq Data Using a Principal Components Approach")
5665 (description
5666 "This package provides functionality for interactive visualization of RNA-seq
5667 datasets based on Principal Components Analysis. The methods provided allow for
5668 quick information extraction and effective data exploration. A Shiny
5669 application encapsulates the whole analysis.")
5670 (license license:expat)))
5671
5672 (define-public r-pcamethods
5673 (package
5674 (name "r-pcamethods")
5675 (version "1.88.0")
5676 (source
5677 (origin
5678 (method url-fetch)
5679 (uri (bioconductor-uri "pcaMethods" version))
5680 (sha256
5681 (base32
5682 "1087sl7y707zld7zpf3ly51gnmdp93vn90dwa5440v7qawvg2h9b"))))
5683 (properties `((upstream-name . "pcaMethods")))
5684 (build-system r-build-system)
5685 (propagated-inputs
5686 (list r-biobase r-biocgenerics r-mass r-rcpp))
5687 (home-page "https://github.com/hredestig/pcamethods")
5688 (synopsis "Collection of PCA methods")
5689 (description
5690 "This package provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
5691 Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method
5692 for missing value estimation is included for comparison. BPCA, PPCA and
5693 NipalsPCA may be used to perform PCA on incomplete data as well as for
5694 accurate missing value estimation. A set of methods for printing and plotting
5695 the results is also provided. All PCA methods make use of the same data
5696 structure (pcaRes) to provide a common interface to the PCA results.")
5697 (license license:gpl3+)))
5698
5699 ;; This is a CRAN package, but it depends on a Bioconductor package:
5700 ;; r-aroma-light, r-dnacopy..
5701 (define-public r-pscbs
5702 (package
5703 (name "r-pscbs")
5704 (version "0.66.0")
5705 (source
5706 (origin
5707 (method url-fetch)
5708 (uri (cran-uri "PSCBS" version))
5709 (sha256
5710 (base32 "14rs2wywipbkia3dbzfhpnkmfgdvm2bf586lggsx63sywlv5d02q"))))
5711 (properties `((upstream-name . "PSCBS")))
5712 (build-system r-build-system)
5713 (arguments
5714 `(#:phases
5715 (modify-phases %standard-phases
5716 (add-before 'install 'change-home-dir
5717 (lambda _
5718 ;; Change from /homeless-shelter to /tmp for write permission.
5719 (setenv "HOME" "/tmp"))))))
5720 (propagated-inputs
5721 (list r-aroma-light
5722 r-dnacopy
5723 r-future
5724 r-listenv
5725 r-matrixstats
5726 r-r-cache
5727 r-r-methodss3
5728 r-r-oo
5729 r-r-utils))
5730 (native-inputs
5731 (list r-r-rsp ;used to build vignettes
5732 r-r-devices))
5733 (home-page "https://github.com/HenrikBengtsson/PSCBS")
5734 (synopsis "Analysis of parent-specific DNA copy numbers")
5735 (description
5736 "This is a package for segmentation of allele-specific DNA copy number
5737 data and detection of regions with abnormal copy number within each parental
5738 chromosome. Both tumor-normal paired and tumor-only analyses are supported.")
5739 (license license:gpl2+)))
5740
5741 (define-public r-protgenerics
5742 (package
5743 (name "r-protgenerics")
5744 (version "1.28.0")
5745 (source
5746 (origin
5747 (method url-fetch)
5748 (uri (bioconductor-uri "ProtGenerics" version))
5749 (sha256
5750 (base32
5751 "04hcgj4q8dbzp1a29rbww2bxxrg679pgys3m09p0ydkpsx76rq05"))))
5752 (properties `((upstream-name . "ProtGenerics")))
5753 (build-system r-build-system)
5754 (home-page "https://github.com/lgatto/ProtGenerics")
5755 (synopsis "S4 generic functions for proteomics infrastructure")
5756 (description
5757 "This package provides S4 generic functions needed by Bioconductor
5758 proteomics packages.")
5759 (license license:artistic2.0)))
5760
5761 (define-public r-rbgl
5762 (package
5763 (name "r-rbgl")
5764 (version "1.72.0")
5765 (source
5766 (origin
5767 (method url-fetch)
5768 (uri (bioconductor-uri "RBGL" version))
5769 (sha256
5770 (base32
5771 "0ph089vxla49sng0pdwiyh9rpk9i96cbsx5q2jn46jj4x51ijc7y"))))
5772 (properties `((upstream-name . "RBGL")))
5773 (build-system r-build-system)
5774 (propagated-inputs
5775 (list r-bh r-graph))
5776 (home-page "https://www.bioconductor.org/packages/RBGL")
5777 (synopsis "Interface to the Boost graph library")
5778 (description
5779 "This package provides a fairly extensive and comprehensive interface to
5780 the graph algorithms contained in the Boost library.")
5781 (license license:artistic2.0)))
5782
5783 (define-public r-rcas
5784 (package
5785 (name "r-rcas")
5786 (version "1.22.0")
5787 (source (origin
5788 (method url-fetch)
5789 (uri (bioconductor-uri "RCAS" version))
5790 (sha256
5791 (base32
5792 "05sj2ab7bxgf41gkmjaskhqm0198xlir1sw3f73x8rjg14rssmqf"))))
5793 (properties `((upstream-name . "RCAS")))
5794 (build-system r-build-system)
5795 (propagated-inputs
5796 (list r-biocgenerics
5797 r-biostrings
5798 r-bsgenome
5799 r-bsgenome-hsapiens-ucsc-hg19
5800 r-cowplot
5801 r-data-table
5802 r-dt
5803 r-genomation
5804 r-genomeinfodb
5805 r-genomicfeatures
5806 r-genomicranges
5807 r-ggplot2
5808 r-ggseqlogo
5809 r-gprofiler2
5810 r-iranges
5811 r-knitr
5812 r-pbapply
5813 r-pheatmap
5814 r-plotly
5815 r-plotrix
5816 r-proxy
5817 r-ranger
5818 r-rsqlite
5819 r-rtracklayer
5820 r-rmarkdown
5821 r-s4vectors
5822 pandoc))
5823 (native-inputs
5824 (list r-knitr))
5825 (synopsis "RNA-centric annotation system")
5826 (description
5827 "RCAS aims to be a standalone RNA-centric annotation system that provides
5828 intuitive reports and publication-ready graphics. This package provides the R
5829 library implementing most of the pipeline's features.")
5830 (home-page "https://github.com/BIMSBbioinfo/RCAS")
5831 (license license:artistic2.0)))
5832
5833 (define-public r-regioner
5834 (package
5835 (name "r-regioner")
5836 (version "1.28.0")
5837 (source
5838 (origin
5839 (method url-fetch)
5840 (uri (bioconductor-uri "regioneR" version))
5841 (sha256
5842 (base32
5843 "11whi2v211xiz9s7cjl14d8vavlry2fmhvx12rma25wkjmhrpa3f"))))
5844 (properties `((upstream-name . "regioneR")))
5845 (build-system r-build-system)
5846 (propagated-inputs
5847 (list r-biostrings
5848 r-bsgenome
5849 r-genomeinfodb
5850 r-genomicranges
5851 r-iranges
5852 r-memoise
5853 r-rtracklayer
5854 r-s4vectors))
5855 (native-inputs
5856 (list r-knitr))
5857 (home-page "https://bioconductor.org/packages/regioneR/")
5858 (synopsis "Association analysis of genomic regions")
5859 (description "This package offers a statistical framework based on
5860 customizable permutation tests to assess the association between genomic
5861 region sets and other genomic features.")
5862 (license license:artistic2.0)))
5863
5864 (define-public r-reportingtools
5865 (package
5866 (name "r-reportingtools")
5867 (version "2.36.0")
5868 (source
5869 (origin
5870 (method url-fetch)
5871 (uri (bioconductor-uri "ReportingTools" version))
5872 (sha256
5873 (base32
5874 "0r8cdqzfh1jxkghhk3j8x3y9kkmdyg9ibfhsic15jqkmp1im6khh"))))
5875 (properties
5876 `((upstream-name . "ReportingTools")))
5877 (build-system r-build-system)
5878 (propagated-inputs
5879 (list r-annotate
5880 r-annotationdbi
5881 r-biobase
5882 r-biocgenerics
5883 r-category
5884 r-deseq2
5885 r-edger
5886 r-ggbio
5887 r-ggplot2
5888 r-gostats
5889 r-gseabase
5890 r-hwriter
5891 r-iranges
5892 r-knitr
5893 r-lattice
5894 r-limma
5895 r-pfam-db
5896 r-r-utils
5897 r-xml))
5898 (native-inputs
5899 (list r-knitr))
5900 (home-page "https://bioconductor.org/packages/ReportingTools/")
5901 (synopsis "Tools for making reports in various formats")
5902 (description
5903 "The ReportingTools package enables users to easily display reports of
5904 analysis results generated from sources such as microarray and sequencing
5905 data. The package allows users to create HTML pages that may be viewed on a
5906 web browser, or in other formats. Users can generate tables with sortable and
5907 filterable columns, make and display plots, and link table entries to other
5908 data sources such as NCBI or larger plots within the HTML page. Using the
5909 package, users can also produce a table of contents page to link various
5910 reports together for a particular project that can be viewed in a web
5911 browser.")
5912 (license license:artistic2.0)))
5913
5914 (define-public r-rhdf5
5915 (package
5916 (name "r-rhdf5")
5917 (version "2.40.0")
5918 (source (origin
5919 (method url-fetch)
5920 (uri (bioconductor-uri "rhdf5" version))
5921 (sha256
5922 (base32
5923 "00cp90mnb8p83jiflm6x4x0qf4p7gvgh47jk9jry6j3qyvfqaiff"))))
5924 (build-system r-build-system)
5925 (propagated-inputs
5926 (list r-rhdf5filters r-rhdf5lib))
5927 (native-inputs
5928 (list r-knitr))
5929 (home-page "https://bioconductor.org/packages/rhdf5")
5930 (synopsis "HDF5 interface to R")
5931 (description
5932 "This R/Bioconductor package provides an interface between HDF5 and R.
5933 HDF5's main features are the ability to store and access very large and/or
5934 complex datasets and a wide variety of metadata on mass storage (disk) through
5935 a completely portable file format. The rhdf5 package is thus suited for the
5936 exchange of large and/or complex datasets between R and other software
5937 package, and for letting R applications work on datasets that are larger than
5938 the available RAM.")
5939 (license license:artistic2.0)))
5940
5941 (define-public r-rhdf5filters
5942 (package
5943 (name "r-rhdf5filters")
5944 (version "1.8.0")
5945 (source
5946 (origin
5947 (method url-fetch)
5948 (uri (bioconductor-uri "rhdf5filters" version))
5949 (sha256
5950 (base32
5951 "1ipg0v8nqz1imj63scqmpiswcxbl4ankg3knfq4p06ic6ypbbmvs"))))
5952 (properties `((upstream-name . "rhdf5filters")))
5953 (build-system r-build-system)
5954 (propagated-inputs
5955 (list r-rhdf5lib))
5956 (inputs
5957 (list zlib))
5958 (native-inputs
5959 (list r-knitr))
5960 (home-page "https://github.com/grimbough/rhdf5filters")
5961 (synopsis "HDF5 compression filters")
5962 (description
5963 "This package provides a collection of compression filters for use with
5964 HDF5 datasets.")
5965 (license license:bsd-2)))
5966
5967 (define-public r-rsamtools
5968 (package
5969 (name "r-rsamtools")
5970 (version "2.12.0")
5971 (source (origin
5972 (method url-fetch)
5973 (uri (bioconductor-uri "Rsamtools" version))
5974 (sha256
5975 (base32
5976 "1wll703if12qrn0d11ljwf7rqhs4lb27fzyyz1hqwvzn3v361s10"))))
5977 (properties
5978 `((upstream-name . "Rsamtools")))
5979 (build-system r-build-system)
5980 (arguments
5981 `(#:phases
5982 (modify-phases %standard-phases
5983 (add-after 'unpack 'use-system-zlib
5984 (lambda _
5985 (substitute* "DESCRIPTION"
5986 (("zlibbioc, ") ""))
5987 (substitute* "NAMESPACE"
5988 (("import\\(zlibbioc\\)") "")))))))
5989 (propagated-inputs
5990 (list r-biocgenerics
5991 r-biocparallel
5992 r-biostrings
5993 r-bitops
5994 r-genomeinfodb
5995 r-genomicranges
5996 r-iranges
5997 r-rhtslib
5998 r-s4vectors
5999 r-xvector))
6000 (home-page "https://bioconductor.org/packages/release/bioc/html/Rsamtools.html")
6001 (synopsis "Interface to samtools, bcftools, and tabix")
6002 (description
6003 "This package provides an interface to the @code{samtools},
6004 @code{bcftools}, and @code{tabix} utilities for manipulating SAM (Sequence
6005 Alignment / Map), FASTA, binary variant call (BCF) and compressed indexed
6006 tab-delimited (tabix) files.")
6007 (license license:expat)))
6008
6009 ;; This is a CRAN package, but it depends on a Bioconductor package:
6010 ;; s4vectors.
6011 (define-public r-restfulr
6012 (package
6013 (name "r-restfulr")
6014 (version "0.0.15")
6015 (source
6016 (origin
6017 (method url-fetch)
6018 (uri (cran-uri "restfulr" version))
6019 (sha256
6020 (base32
6021 "14p6h0gjknqy5z2fprxw7waf4p0cd2qmp18s7qig4ylqn8gqzzs0"))))
6022 (properties `((upstream-name . "restfulr")))
6023 (build-system r-build-system)
6024 (propagated-inputs
6025 (list r-rcurl r-rjson r-s4vectors r-xml r-yaml))
6026 (home-page "https://cran.r-project.org/package=restfulr")
6027 (synopsis "R interface to RESTful web services")
6028 (description
6029 "This package models a RESTful service as if it were a nested R list.")
6030 (license license:artistic2.0)))
6031
6032 (define-public r-rtracklayer
6033 (package
6034 (name "r-rtracklayer")
6035 (version "1.56.1")
6036 (source (origin
6037 (method url-fetch)
6038 (uri (bioconductor-uri "rtracklayer" version))
6039 (sha256
6040 (base32
6041 "10qy9s6253mgj871qfqn03i8yw10mz7id4cxfyf67qxczz2xmjls"))))
6042 (build-system r-build-system)
6043 (arguments
6044 `(#:phases
6045 (modify-phases %standard-phases
6046 (add-after 'unpack 'use-system-zlib
6047 (lambda _
6048 (substitute* "DESCRIPTION"
6049 ((" zlibbioc,") ""))
6050 (substitute* "NAMESPACE"
6051 (("import\\(zlibbioc\\)") "")))))))
6052 (native-inputs
6053 (list pkg-config))
6054 (inputs
6055 (list zlib))
6056 (propagated-inputs
6057 (list r-biocgenerics
6058 r-biocio
6059 r-biostrings
6060 r-genomeinfodb
6061 r-genomicalignments
6062 r-genomicranges
6063 r-iranges
6064 r-rcurl
6065 r-restfulr
6066 r-rsamtools
6067 r-s4vectors
6068 r-xml
6069 r-xvector
6070 r-zlibbioc))
6071 (home-page "https://bioconductor.org/packages/rtracklayer")
6072 (synopsis "R interface to genome browsers and their annotation tracks")
6073 (description
6074 "rtracklayer is an extensible framework for interacting with multiple
6075 genome browsers (currently UCSC built-in) and manipulating annotation tracks
6076 in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit
6077 built-in). The user may export/import tracks to/from the supported browsers,
6078 as well as query and modify the browser state, such as the current viewport.")
6079 (license license:artistic2.0)))
6080
6081 ;; This is a CRAN package, but it depends on a Bioconductor package.
6082 (define-public r-samr
6083 (package
6084 (name "r-samr")
6085 (version "3.0")
6086 (source
6087 (origin
6088 (method url-fetch)
6089 (uri (cran-uri "samr" version))
6090 (sha256
6091 (base32
6092 "01km0f7qgm73x19vbvsxl083hs1dq4dj8qm5h64cxbf20b08my15"))))
6093 (properties `((upstream-name . "samr")))
6094 (build-system r-build-system)
6095 (propagated-inputs
6096 (list r-gsa
6097 r-impute
6098 r-matrixstats
6099 r-openxlsx
6100 r-shiny
6101 r-shinyfiles))
6102 (native-inputs (list gfortran))
6103 (home-page "https://statweb.stanford.edu/~tibs/SAM/")
6104 (synopsis "Significance analysis of Microarrays")
6105 (description
6106 "This is a package for significance analysis of Microarrays for
6107 differential expression analysis, RNAseq data and related problems.")
6108 ;; Any version of the LGPL
6109 (license license:lgpl3+)))
6110
6111 (define-public r-scannotatr
6112 (package
6113 (name "r-scannotatr")
6114 (version "1.2.0")
6115 (source
6116 (origin
6117 (method url-fetch)
6118 (uri (bioconductor-uri "scAnnotatR" version))
6119 (sha256
6120 (base32 "067q57kabhqd1z8l3d91fw74aaw89nb48gm6fll4hv00nqza3n5b"))))
6121 (properties `((upstream-name . "scAnnotatR")))
6122 (build-system r-build-system)
6123 (propagated-inputs
6124 (list r-annotationhub
6125 r-ape
6126 r-caret
6127 r-data-tree
6128 r-dplyr
6129 r-e1071
6130 r-ggplot2
6131 r-kernlab
6132 r-proc
6133 r-rocr
6134 r-seurat
6135 r-singlecellexperiment
6136 r-summarizedexperiment))
6137 (native-inputs (list r-knitr))
6138 (home-page "https://github.com/grisslab/scAnnotatR")
6139 (synopsis "Pretrained models for prediction on single cell RNA-sequencing data")
6140 (description
6141 "This package comprises a set of pretrained machine learning models to
6142 predict basic immune cell types. This enables to quickly get a first
6143 annotation of the cell types present in the dataset without requiring prior
6144 knowledge. The package also lets you train using own models to predict new
6145 cell types based on specific research needs.")
6146 (license license:expat)))
6147
6148 (define-public r-scdblfinder
6149 (package
6150 (name "r-scdblfinder")
6151 (version "1.10.0")
6152 (source
6153 (origin
6154 (method url-fetch)
6155 (uri (bioconductor-uri "scDblFinder" version))
6156 (sha256
6157 (base32 "0y14dvdm16b3bvlrnz03adfylm1kj6jrp2fwciyldij2lfal90y0"))))
6158 (properties `((upstream-name . "scDblFinder")))
6159 (build-system r-build-system)
6160 (propagated-inputs
6161 (list r-biocgenerics
6162 r-biocneighbors
6163 r-biocparallel
6164 r-biocsingular
6165 r-bluster
6166 r-delayedarray
6167 r-genomeinfodb
6168 r-genomicranges
6169 r-igraph
6170 r-iranges
6171 r-mass
6172 r-matrix
6173 r-rsamtools
6174 r-rtracklayer
6175 r-s4vectors
6176 r-scater
6177 r-scran
6178 r-scuttle
6179 r-singlecellexperiment
6180 r-summarizedexperiment
6181 r-xgboost))
6182 (native-inputs (list r-knitr))
6183 (home-page "https://github.com/plger/scDblFinder")
6184 (synopsis "Detect multiplets in single-cell RNA sequencing data")
6185 (description
6186 "The scDblFinder package gathers various methods for the detection and
6187 handling of doublets/multiplets in single-cell RNA sequencing data (i.e.
6188 multiple cells captured within the same droplet or reaction volume). It
6189 includes methods formerly found in the scran package, and the new fast and
6190 comprehensive scDblFinder method.")
6191 (license license:gpl3)))
6192
6193 (define-public r-scmap
6194 (package
6195 (name "r-scmap")
6196 (version "1.18.0")
6197 (source
6198 (origin
6199 (method url-fetch)
6200 (uri (bioconductor-uri "scmap" version))
6201 (sha256
6202 (base32 "0pfwaa9pgml11b84rpf7afdkmg8kxb4srgpc56571vaz388xrv7l"))))
6203 (properties `((upstream-name . "scmap")))
6204 (build-system r-build-system)
6205 (propagated-inputs
6206 (list r-biobase
6207 r-biocgenerics
6208 r-dplyr
6209 r-e1071
6210 r-ggplot2
6211 r-googlevis
6212 r-matrixstats
6213 r-proxy
6214 r-randomforest
6215 r-rcpp
6216 r-rcpparmadillo
6217 r-reshape2
6218 r-s4vectors
6219 r-singlecellexperiment
6220 r-summarizedexperiment))
6221 (native-inputs (list r-knitr))
6222 (home-page "https://github.com/hemberg-lab/scmap")
6223 (synopsis "Tool for unsupervised projection of single cell RNA-seq data")
6224 (description
6225 "@dfn{Single-cell RNA-seq} (scRNA-seq) is widely used to investigate the
6226 composition of complex tissues since the technology allows researchers to
6227 define cell-types using unsupervised clustering of the transcriptome.
6228 However, due to differences in experimental methods and computational
6229 analyses, it is often challenging to directly compare the cells identified in
6230 two different experiments. @code{scmap} is a method for projecting cells from
6231 a scRNA-seq experiment onto the cell-types or individual cells identified in a
6232 different experiment.")
6233 (license license:gpl3)))
6234
6235 (define-public r-scry
6236 (package
6237 (name "r-scry")
6238 (version "1.8.0")
6239 (source (origin
6240 (method url-fetch)
6241 (uri (bioconductor-uri "scry" version))
6242 (sha256
6243 (base32
6244 "16mj21r91jy8ircdz8rfrdli9gjy0hrx90kf6ghs305d3d4dl193"))))
6245 (properties `((upstream-name . "scry")))
6246 (build-system r-build-system)
6247 (propagated-inputs
6248 (list r-biocsingular
6249 r-delayedarray
6250 r-glmpca
6251 r-hdf5array
6252 r-matrix
6253 r-singlecellexperiment
6254 r-summarizedexperiment))
6255 (native-inputs (list r-knitr))
6256 (home-page "https://bioconductor.org/packages/scry.html")
6257 (synopsis "Small-count analysis methods for high-dimensional data")
6258 (description
6259 "Many modern biological datasets consist of small counts that are not
6260 well fit by standard linear-Gaussian methods such as principal component
6261 analysis. This package provides implementations of count-based feature
6262 selection and dimension reduction algorithms. These methods can be used to
6263 facilitate unsupervised analysis of any high-dimensional data such as
6264 single-cell RNA-seq.")
6265 (license license:artistic2.0)))
6266
6267 (define-public r-seqlogo
6268 (package
6269 (name "r-seqlogo")
6270 (version "1.62.0")
6271 (source
6272 (origin
6273 (method url-fetch)
6274 (uri (bioconductor-uri "seqLogo" version))
6275 (sha256
6276 (base32
6277 "1lk3238m17acmd6lgjjbpscyxw8fm63wv34kbbr478wcih1wbwxr"))))
6278 (properties `((upstream-name . "seqLogo")))
6279 (build-system r-build-system)
6280 (native-inputs
6281 (list r-knitr))
6282 (home-page "https://bioconductor.org/packages/seqLogo")
6283 (synopsis "Sequence logos for DNA sequence alignments")
6284 (description
6285 "seqLogo takes the position weight matrix of a DNA sequence motif and
6286 plots the corresponding sequence logo as introduced by Schneider and
6287 Stephens (1990).")
6288 (license license:lgpl2.0+)))
6289
6290 (define-public r-seqpattern
6291 (package
6292 (name "r-seqpattern")
6293 (version "1.28.0")
6294 (source (origin
6295 (method url-fetch)
6296 (uri (bioconductor-uri "seqPattern" version))
6297 (sha256
6298 (base32
6299 "0nrrlr1nl9zxmp88qq8jn7wgmda6jh0xvp4nph94w4nwjsyb7xqn"))))
6300 (properties
6301 `((upstream-name . "seqPattern")))
6302 (build-system r-build-system)
6303 (propagated-inputs
6304 (list r-biostrings r-genomicranges r-iranges r-kernsmooth r-plotrix))
6305 (home-page "https://bioconductor.org/packages/seqPattern")
6306 (synopsis "Visualising oligonucleotide patterns and motif occurrences")
6307 (description
6308 "This package provides tools to visualize oligonucleotide patterns and
6309 sequence motif occurrences across a large set of sequences centred at a common
6310 reference point and sorted by a user defined feature.")
6311 (license license:gpl3+)))
6312
6313 (define-public r-shortread
6314 (package
6315 (name "r-shortread")
6316 (version "1.54.0")
6317 (source
6318 (origin
6319 (method url-fetch)
6320 (uri (bioconductor-uri "ShortRead" version))
6321 (sha256
6322 (base32
6323 "0303198b4v2wjah9kc829kn01030996l6di4jpf8q5ccd212rjhq"))))
6324 (properties `((upstream-name . "ShortRead")))
6325 (build-system r-build-system)
6326 (inputs
6327 (list zlib))
6328 (propagated-inputs
6329 (list r-biobase
6330 r-biocgenerics
6331 r-biocparallel
6332 r-biostrings
6333 r-genomeinfodb
6334 r-genomicalignments
6335 r-genomicranges
6336 r-rhtslib
6337 r-hwriter
6338 r-iranges
6339 r-lattice
6340 r-latticeextra
6341 r-rsamtools
6342 r-s4vectors
6343 r-xvector
6344 r-zlibbioc))
6345 (home-page "https://bioconductor.org/packages/ShortRead")
6346 (synopsis "FASTQ input and manipulation tools")
6347 (description
6348 "This package implements sampling, iteration, and input of FASTQ files.
6349 It includes functions for filtering and trimming reads, and for generating a
6350 quality assessment report. Data are represented as
6351 @code{DNAStringSet}-derived objects, and easily manipulated for a diversity of
6352 purposes. The package also contains legacy support for early single-end,
6353 ungapped alignment formats.")
6354 (license license:artistic2.0)))
6355
6356 (define-public r-simplifyenrichment
6357 (package
6358 (name "r-simplifyenrichment")
6359 (version "1.6.1")
6360 (source
6361 (origin
6362 (method url-fetch)
6363 (uri (bioconductor-uri "simplifyEnrichment" version))
6364 (sha256
6365 (base32
6366 "0qblgdxmr7zc981529cca3ykakql618q1im6gaxw8pwws5jgpyk6"))))
6367 (properties
6368 `((upstream-name . "simplifyEnrichment")))
6369 (build-system r-build-system)
6370 (propagated-inputs
6371 (list r-annotationdbi
6372 r-biocgenerics
6373 r-circlize
6374 r-clue
6375 r-cluster
6376 r-colorspace
6377 r-complexheatmap
6378 r-digest
6379 r-getoptlong
6380 r-globaloptions
6381 r-go-db
6382 r-gosemsim
6383 r-matrix
6384 r-org-hs-eg-db
6385 r-proxyc
6386 r-slam
6387 r-tm))
6388 (native-inputs (list r-knitr))
6389 (home-page "https://github.com/jokergoo/simplifyEnrichment")
6390 (synopsis "Simplify functional enrichment results")
6391 (description "This package provides a new clustering algorithm, binary
6392 cut, for clustering similarity matrices of functional terms is implemented in
6393 this package. It also provides functionalities for visualizing, summarizing
6394 and comparing the clusterings.")
6395 (license license:expat)))
6396
6397 (define-public r-transcriptr
6398 (package
6399 (name "r-transcriptr")
6400 (version "1.24.0")
6401 (source
6402 (origin
6403 (method url-fetch)
6404 (uri (bioconductor-uri "transcriptR" version))
6405 (sha256
6406 (base32 "1zc6aasd5nzwl9jxr0rdriiq85adqdbfi5b9m3jyf69pa71sgy03"))))
6407 (properties `((upstream-name . "transcriptR")))
6408 (build-system r-build-system)
6409 (propagated-inputs
6410 (list r-biocgenerics
6411 r-caret
6412 r-chipseq
6413 r-e1071
6414 r-genomeinfodb
6415 r-genomicalignments
6416 r-genomicfeatures
6417 r-genomicranges
6418 r-ggplot2
6419 r-iranges
6420 r-proc
6421 r-reshape2
6422 r-rsamtools
6423 r-rtracklayer
6424 r-s4vectors))
6425 (native-inputs (list r-knitr))
6426 (home-page "https://bioconductor.org/packages/transcriptR")
6427 (synopsis "Primary transcripts detection and quantification")
6428 (description
6429 "The differences in the RNA types being sequenced have an impact on the
6430 resulting sequencing profiles. mRNA-seq data is enriched with reads derived
6431 from exons, while GRO-, nucRNA- and chrRNA-seq demonstrate a substantial
6432 broader coverage of both exonic and intronic regions. The presence of
6433 intronic reads in GRO-seq type of data makes it possible to use it to
6434 computationally identify and quantify all de novo continuous regions of
6435 transcription distributed across the genome. This type of data, however, is
6436 more challenging to interpret and less common practice compared to mRNA-seq.
6437 One of the challenges for primary transcript detection concerns the
6438 simultaneous transcription of closely spaced genes, which needs to be properly
6439 divided into individually transcribed units. The R package transcriptR
6440 combines RNA-seq data with ChIP-seq data of histone modifications that mark
6441 active Transcription Start Sites (TSSs), such as, H3K4me3 or H3K9/14Ac to
6442 overcome this challenge. The advantage of this approach over the use of, for
6443 example, gene annotations is that this approach is data driven and therefore
6444 able to deal also with novel and case specific events.")
6445 (license license:gpl3)))
6446
6447 (define-public r-trajectoryutils
6448 (package
6449 (name "r-trajectoryutils")
6450 (version "1.4.0")
6451 (source
6452 (origin
6453 (method url-fetch)
6454 (uri (bioconductor-uri "TrajectoryUtils" version))
6455 (sha256
6456 (base32
6457 "07hcr3zplxlzlwc13wh9006m5kaqm57cm1b2x74bpp857f2q93dj"))))
6458 (properties
6459 `((upstream-name . "TrajectoryUtils")))
6460 (build-system r-build-system)
6461 (propagated-inputs
6462 (list r-igraph r-matrix r-s4vectors r-singlecellexperiment
6463 r-summarizedexperiment))
6464 (native-inputs (list r-knitr))
6465 (home-page "https://bioconductor.org/packages/TrajectoryUtils")
6466 (synopsis "Single-cell trajectory analysis utilities")
6467 (description
6468 "This package implements low-level utilities for single-cell trajectory
6469 analysis, primarily intended for re-use inside higher-level packages. It
6470 includes a function to create a cluster-level minimum spanning tree and data
6471 structures to hold pseudotime inference results.")
6472 (license license:gpl3)))
6473
6474 (define-public r-slingshot
6475 (package
6476 (name "r-slingshot")
6477 (version "2.4.0")
6478 (source (origin
6479 (method url-fetch)
6480 (uri (bioconductor-uri "slingshot" version))
6481 (sha256
6482 (base32
6483 "0xapi66l5z2qdqns3fcjqcjal6npqj7rxra60lwjvbrq49pq69p2"))))
6484 (build-system r-build-system)
6485 (propagated-inputs
6486 (list r-igraph
6487 r-matrixstats
6488 r-princurve
6489 r-s4vectors
6490 r-singlecellexperiment
6491 r-summarizedexperiment
6492 r-trajectoryutils))
6493 (native-inputs
6494 (list r-knitr))
6495 (home-page "https://bioconductor.org/packages/slingshot")
6496 (synopsis "Tools for ordering single-cell sequencing")
6497 (description "This package provides functions for inferring continuous,
6498 branching lineage structures in low-dimensional data. Slingshot was designed
6499 to model developmental trajectories in single-cell RNA sequencing data and
6500 serve as a component in an analysis pipeline after dimensionality reduction
6501 and clustering. It is flexible enough to handle arbitrarily many branching
6502 events and allows for the incorporation of prior knowledge through supervised
6503 graph construction.")
6504 (license license:artistic2.0)))
6505
6506 (define-public r-stager
6507 (package
6508 (name "r-stager")
6509 (version "1.18.0")
6510 (source
6511 (origin
6512 (method url-fetch)
6513 (uri (bioconductor-uri "stageR" version))
6514 (sha256
6515 (base32 "0ns3ih6l4na6irshrc5iy4d9qf7hrnqq3ndnlcjb2i1cn38l2w9y"))))
6516 (properties `((upstream-name . "stageR")))
6517 (build-system r-build-system)
6518 (propagated-inputs (list r-summarizedexperiment))
6519 (native-inputs (list r-knitr))
6520 (home-page "https://bioconductor.org/packages/stageR")
6521 (synopsis "Stage-wise analysis of high throughput gene expression data")
6522 (description
6523 "The stageR package allows automated stage-wise analysis of
6524 high-throughput gene expression data. The method is published in Genome
6525 Biology at
6526 @url{https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1277-0}.")
6527 (license license:gpl3)))
6528
6529 (define-public r-stringdb
6530 (package
6531 (name "r-stringdb")
6532 (version "2.8.4")
6533 (source
6534 (origin
6535 (method url-fetch)
6536 (uri (bioconductor-uri "STRINGdb" version))
6537 (sha256
6538 (base32 "1jn6080v6097zpqsr4gfbx31gqqdhpzjrk63avk3v3xwawmf2379"))))
6539 (properties `((upstream-name . "STRINGdb")))
6540 (build-system r-build-system)
6541 (propagated-inputs
6542 (list r-gplots
6543 r-hash
6544 r-igraph
6545 r-plotrix
6546 r-plyr
6547 r-png
6548 r-rcolorbrewer
6549 r-rcurl
6550 r-sqldf))
6551 (home-page "https://git.bioconductor.org/packages/STRINGdb")
6552 (synopsis "Search tool for the retrieval of interacting proteins database")
6553 (description
6554 "The @code{STRINGdb} package provides an R interface to the STRING
6555 protein-protein interactions database. @url{https://www.string-db.org,
6556 STRING} is a database of known and predicted protein-protein interactions.
6557 The interactions include direct (physical) and indirect (functional)
6558 associations. Each interaction is associated with a combined confidence score
6559 that integrates the various evidences.")
6560 (license license:gpl2)))
6561
6562 (define-public r-structuralvariantannotation
6563 (package
6564 (name "r-structuralvariantannotation")
6565 (version "1.12.0")
6566 (source
6567 (origin
6568 (method url-fetch)
6569 (uri (bioconductor-uri "StructuralVariantAnnotation" version))
6570 (sha256
6571 (base32 "0f3x74ic3blg8nm5xlv79k0n8j3fpl98mmhfanqfzmdl0g3j6wx6"))))
6572 (build-system r-build-system)
6573 (propagated-inputs
6574 (list r-assertthat
6575 r-biocgenerics
6576 r-biostrings
6577 r-dplyr
6578 r-genomeinfodb
6579 r-genomicfeatures
6580 r-genomicranges
6581 r-iranges
6582 r-rlang
6583 r-rtracklayer
6584 r-s4vectors
6585 r-stringr
6586 r-summarizedexperiment
6587 r-variantannotation))
6588 (native-inputs
6589 (list r-knitr))
6590 (home-page "https://bioconductor.org/packages/StructuralVariantAnnotation/")
6591 (synopsis "R package designed to simplify structural variant analysis")
6592 (description
6593 "This package contains useful helper functions for dealing with structural
6594 variants in VCF format. The packages contains functions for parsing VCFs from
6595 a number of popular callers as well as functions for dealing with breakpoints
6596 involving two separate genomic loci encoded as GRanges objects.")
6597 (license license:gpl3)))
6598
6599 (define-public r-summarizedexperiment
6600 (package
6601 (name "r-summarizedexperiment")
6602 (version "1.26.1")
6603 (source (origin
6604 (method url-fetch)
6605 (uri (bioconductor-uri "SummarizedExperiment" version))
6606 (sha256
6607 (base32
6608 "02vlqzmslyijs09jl0gdjxqjjnnl4yqbqqqlb4vb7nr0fspmyz39"))))
6609 (properties
6610 `((upstream-name . "SummarizedExperiment")))
6611 (build-system r-build-system)
6612 (propagated-inputs
6613 (list r-biobase
6614 r-biocgenerics
6615 r-delayedarray
6616 r-genomeinfodb
6617 r-genomicranges
6618 r-iranges
6619 r-matrix
6620 r-matrixgenerics
6621 r-s4vectors))
6622 (native-inputs
6623 (list r-knitr))
6624 (home-page "https://bioconductor.org/packages/SummarizedExperiment")
6625 (synopsis "Container for representing genomic ranges by sample")
6626 (description
6627 "The SummarizedExperiment container contains one or more assays, each
6628 represented by a matrix-like object of numeric or other mode. The rows
6629 typically represent genomic ranges of interest and the columns represent
6630 samples.")
6631 (license license:artistic2.0)))
6632
6633 (define-public r-sva
6634 (package
6635 (name "r-sva")
6636 (version "3.44.0")
6637 (source
6638 (origin
6639 (method url-fetch)
6640 (uri (bioconductor-uri "sva" version))
6641 (sha256
6642 (base32
6643 "0ka259rn0la0hjslj7w24q1dyyh79h84nw6mxp7armqbfjb207a4"))))
6644 (build-system r-build-system)
6645 (propagated-inputs
6646 (list r-edger
6647 r-genefilter
6648 r-mgcv
6649 r-biocparallel
6650 r-matrixstats
6651 r-limma))
6652 (home-page "https://bioconductor.org/packages/sva")
6653 (synopsis "Surrogate variable analysis")
6654 (description
6655 "This package contains functions for removing batch effects and other
6656 unwanted variation in high-throughput experiment. It also contains functions
6657 for identifying and building surrogate variables for high-dimensional data
6658 sets. Surrogate variables are covariates constructed directly from
6659 high-dimensional data like gene expression/RNA sequencing/methylation/brain
6660 imaging data that can be used in subsequent analyses to adjust for unknown,
6661 unmodeled, or latent sources of noise.")
6662 (license license:artistic2.0)))
6663
6664 (define-public r-systempiper
6665 (package
6666 (name "r-systempiper")
6667 (version "2.2.2")
6668 (source
6669 (origin
6670 (method url-fetch)
6671 (uri (bioconductor-uri "systemPipeR" version))
6672 (sha256
6673 (base32
6674 "1yybbff29gwv6rm0nw4yjw73bbl5prfj8gj4zky917smjfd459im"))))
6675 (properties `((upstream-name . "systemPipeR")))
6676 (build-system r-build-system)
6677 (propagated-inputs
6678 (list r-biocgenerics
6679 r-biostrings
6680 r-crayon
6681 r-genomicranges
6682 r-ggplot2
6683 r-htmlwidgets
6684 r-magrittr
6685 r-rsamtools
6686 r-s4vectors
6687 r-shortread
6688 r-stringr
6689 r-summarizedexperiment
6690 r-yaml))
6691 (native-inputs
6692 (list r-knitr))
6693 (home-page "https://github.com/tgirke/systemPipeR")
6694 (synopsis "Next generation sequencing workflow and reporting environment")
6695 (description
6696 "This R package provides tools for building and running automated
6697 end-to-end analysis workflows for a wide range of @dfn{next generation
6698 sequence} (NGS) applications such as RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq.
6699 Important features include a uniform workflow interface across different NGS
6700 applications, automated report generation, and support for running both R and
6701 command-line software, such as NGS aligners or peak/variant callers, on local
6702 computers or compute clusters. Efficient handling of complex sample sets and
6703 experimental designs is facilitated by a consistently implemented sample
6704 annotation infrastructure.")
6705 (license license:artistic2.0)))
6706
6707 (define-public r-topgo
6708 (package
6709 (name "r-topgo")
6710 (version "2.48.0")
6711 (source (origin
6712 (method url-fetch)
6713 (uri (bioconductor-uri "topGO" version))
6714 (sha256
6715 (base32
6716 "125r42ymk1irjmwk4sywjkcshs71s26p3zsvryfdvf56k5w162v6"))))
6717 (properties
6718 `((upstream-name . "topGO")))
6719 (build-system r-build-system)
6720 (propagated-inputs
6721 (list r-annotationdbi
6722 r-dbi
6723 r-biobase
6724 r-biocgenerics
6725 r-go-db
6726 r-graph
6727 r-lattice
6728 r-matrixstats
6729 r-sparsem))
6730 (home-page "https://bioconductor.org/packages/topGO")
6731 (synopsis "Enrichment analysis for gene ontology")
6732 (description
6733 "The topGO package provides tools for testing @dfn{gene ontology} (GO)
6734 terms while accounting for the topology of the GO graph. Different test
6735 statistics and different methods for eliminating local similarities and
6736 dependencies between GO terms can be implemented and applied.")
6737 ;; Any version of the LGPL applies.
6738 (license license:lgpl2.1+)))
6739
6740 (define-public r-tximport
6741 (package
6742 (name "r-tximport")
6743 (version "1.24.0")
6744 (source (origin
6745 (method url-fetch)
6746 (uri (bioconductor-uri "tximport" version))
6747 (sha256
6748 (base32
6749 "1cnra82pvwz79a1hkw0phc6aa3v43r5p4nx8xyx5wzmkd7rjkc8x"))))
6750 (build-system r-build-system)
6751 (native-inputs
6752 (list r-knitr))
6753 (home-page "https://bioconductor.org/packages/tximport")
6754 (synopsis "Import and summarize transcript-level estimates for gene-level analysis")
6755 (description
6756 "This package provides tools to import transcript-level abundance,
6757 estimated counts and transcript lengths, and to summarize them into matrices
6758 for use with downstream gene-level analysis packages. Average transcript
6759 length, weighted by sample-specific transcript abundance estimates, is
6760 provided as a matrix which can be used as an offset for different expression
6761 of gene-level counts.")
6762 (license license:gpl2+)))
6763
6764 ;; This is a CRAN package, but it depends on a Bioconductor package.
6765 (define-public r-valr
6766 (package
6767 (name "r-valr")
6768 (version "0.6.5")
6769 (source
6770 (origin
6771 (method url-fetch)
6772 (uri (cran-uri "valr" version))
6773 (sha256
6774 (base32
6775 "1674sqclgi4l5r544pjjsblzl1ix2cy961jpkncb3ym47y6c1msw"))))
6776 (build-system r-build-system)
6777 (propagated-inputs
6778 (list r-broom
6779 r-dplyr
6780 r-ggplot2
6781 r-rcpp
6782 r-readr
6783 r-rlang
6784 r-rtracklayer ;bioconductor package
6785 r-stringr
6786 r-tibble))
6787 (native-inputs
6788 (list r-knitr))
6789 (home-page "https://github.com/rnabioco/valr")
6790 (synopsis "Genome interval arithmetic in R")
6791 (description
6792 "This package enables you to read and manipulate genome intervals and
6793 signals. It provides functionality similar to command-line tool suites within
6794 R, enabling interactive analysis and visualization of genome-scale data.")
6795 (license license:expat)))
6796
6797 (define-public r-variantannotation
6798 (package
6799 (name "r-variantannotation")
6800 (version "1.42.1")
6801 (source (origin
6802 (method url-fetch)
6803 (uri (bioconductor-uri "VariantAnnotation" version))
6804 (sha256
6805 (base32
6806 "12d5hkx6pby6l2asyg4jp4jb2x17ybwhqd55rl64h37mwcndbdg1"))))
6807 (properties
6808 `((upstream-name . "VariantAnnotation")))
6809 (propagated-inputs
6810 (list r-annotationdbi
6811 r-biobase
6812 r-biocgenerics
6813 r-biostrings
6814 r-bsgenome
6815 r-dbi
6816 r-genomeinfodb
6817 r-genomicfeatures
6818 r-genomicranges
6819 r-iranges
6820 r-matrixgenerics
6821 r-summarizedexperiment
6822 r-rhtslib
6823 r-rsamtools
6824 r-rtracklayer
6825 r-s4vectors
6826 r-xvector
6827 r-zlibbioc))
6828 (build-system r-build-system)
6829 (home-page "https://bioconductor.org/packages/VariantAnnotation")
6830 (synopsis "Package for annotation of genetic variants")
6831 (description "This R package can annotate variants, compute amino acid
6832 coding changes and predict coding outcomes.")
6833 (license license:artistic2.0)))
6834
6835 (define-public r-vsn
6836 (package
6837 (name "r-vsn")
6838 (version "3.64.0")
6839 (source
6840 (origin
6841 (method url-fetch)
6842 (uri (bioconductor-uri "vsn" version))
6843 (sha256
6844 (base32
6845 "1ja7vdjvgx671l57f9fzfn4vc6q7xzfmqs4krg2rdyfaaf531gqf"))))
6846 (build-system r-build-system)
6847 (propagated-inputs
6848 (list r-affy r-biobase r-ggplot2 r-lattice r-limma))
6849 (native-inputs
6850 (list r-knitr)) ; for vignettes
6851 (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html")
6852 (synopsis "Variance stabilization and calibration for microarray data")
6853 (description
6854 "The package implements a method for normalising microarray intensities,
6855 and works for single- and multiple-color arrays. It can also be used for data
6856 from other technologies, as long as they have similar format. The method uses
6857 a robust variant of the maximum-likelihood estimator for an
6858 additive-multiplicative error model and affine calibration. The model
6859 incorporates data calibration step (a.k.a. normalization), a model for the
6860 dependence of the variance on the mean intensity and a variance stabilizing
6861 data transformation. Differences between transformed intensities are
6862 analogous to \"normalized log-ratios\". However, in contrast to the latter,
6863 their variance is independent of the mean, and they are usually more sensitive
6864 and specific in detecting differential transcription.")
6865 (license license:artistic2.0)))
6866
6867 ;; There is no source tarball, so we fetch the code from the Bioconductor git
6868 ;; repository.
6869 (define-public r-xcir
6870 (let ((commit "3b59d456f2ad7f70285915b036b1dc4279687277")
6871 (revision "1"))
6872 (package
6873 (name "r-xcir")
6874 (version (git-version "1.8.0" revision commit))
6875 (source (origin
6876 (method git-fetch)
6877 (uri (git-reference
6878 (url "https://git.bioconductor.org/packages/XCIR")
6879 (commit commit)))
6880 (file-name (git-file-name name version))
6881 (sha256
6882 (base32
6883 "1xxw5ady5j2p7z7zjxgx7lhm85x7fxbljiv49lc2ghsvh9wm937p"))))
6884 (properties `((upstream-name . "XCIR")))
6885 (build-system r-build-system)
6886 (propagated-inputs (list r-biomart
6887 r-biostrings
6888 r-data-table
6889 r-ggplot2
6890 r-iranges
6891 r-readxl
6892 r-s4vectors
6893 r-seqminer
6894 r-variantannotation))
6895 (native-inputs (list r-knitr))
6896 (home-page "https://github.com/SRenan/XCIR")
6897 (synopsis "Analysis of X chromosome inactivation")
6898 (description
6899 "This package is an R package that offers models and tools for subject
6900 level analysis of @dfn{X chromosome inactivation} (XCI) and XCI-escape
6901 inference.")
6902 (license license:gpl2))))
6903
6904 (define-public r-xina
6905 (package
6906 (name "r-xina")
6907 (version "1.14.0")
6908 (source
6909 (origin
6910 (method url-fetch)
6911 (uri (bioconductor-uri "XINA" version))
6912 (sha256
6913 (base32 "03gf7mqpnwx12kny9fsaskgrw83b0wi2cf1j4dbq46pfxjx34v1g"))))
6914 (properties `((upstream-name . "XINA")))
6915 (build-system r-build-system)
6916 (propagated-inputs
6917 (list r-alluvial
6918 r-ggplot2
6919 r-gridextra
6920 r-igraph
6921 r-mclust
6922 r-plyr
6923 r-stringdb))
6924 (native-inputs (list r-knitr))
6925 (home-page "https://git.bioconductor.org/packages/XINA")
6926 (synopsis "Identifying proteins that exhibit similar patterns")
6927 (description
6928 "The aim of @code{XINA} is to determine which proteins exhibit similar
6929 patterns within and across experimental conditions, since proteins with
6930 co-abundance patterns may have common molecular functions. @code{XINA} imports
6931 multiple datasets, tags dataset in silico, and combines the data for subsequent
6932 subgrouping into multiple clusters. The result is a single output depicting
6933 the variation across all conditions. @code{XINA} not only extracts
6934 coabundance profiles within and across experiments, but also incorporates
6935 protein-protein interaction databases and integrative resources such as
6936 @dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and
6937 molecular functions, respectively, and produces intuitive graphical outputs.")
6938 (license license:gpl3)))
6939
6940 (define-public r-xmapbridge
6941 (package
6942 (name "r-xmapbridge")
6943 (version "1.54.0")
6944 (source
6945 (origin
6946 (method url-fetch)
6947 (uri (bioconductor-uri "xmapbridge" version))
6948 (sha256
6949 (base32 "1n3nxc4jwxf5z32i70sza52nyk29adhp8vc3hac7r5b8mbi6gg10"))))
6950 (properties `((upstream-name . "xmapbridge")))
6951 (build-system r-build-system)
6952 (home-page "https://git.bioconductor.org/packages/xmapbridge")
6953 (synopsis "Display numeric data in the web based genome browser X:MAP")
6954 (description
6955 "The package @code{xmapbridge} can plot graphs in the X:Map genome
6956 browser. X:Map uses the Google Maps API to provide a scrollable view of the
6957 genome. It supports a number of species, and can be accessed at
6958 @url{http://xmap.picr.man.ac.uk}. This package exports plotting files in a
6959 suitable format. Graph plotting in R is done using calls to the functions
6960 @code{xmap.plot} and @code{xmap.points}, which have parameters that aim to be
6961 similar to those used by the standard plot methods in R. These result in data
6962 being written to a set of files (in a specific directory structure) that
6963 contain the data to be displayed, as well as some additional meta-data
6964 describing each of the graphs.")
6965 (license license:lgpl3)))
6966
6967 (define-public r-xvector
6968 (package
6969 (name "r-xvector")
6970 (version "0.36.0")
6971 (source (origin
6972 (method url-fetch)
6973 (uri (bioconductor-uri "XVector" version))
6974 (sha256
6975 (base32
6976 "1f3sbqy279gb9k13l73j00ixywa1havlqy81zx766r1xkz15nvhk"))))
6977 (properties
6978 `((upstream-name . "XVector")))
6979 (build-system r-build-system)
6980 (arguments
6981 `(#:phases
6982 (modify-phases %standard-phases
6983 (add-after 'unpack 'use-system-zlib
6984 (lambda _
6985 (substitute* "DESCRIPTION"
6986 (("zlibbioc, ") ""))
6987 (substitute* "NAMESPACE"
6988 (("import\\(zlibbioc\\)") ""))
6989 #t)))))
6990 (inputs
6991 (list zlib))
6992 (propagated-inputs
6993 (list r-biocgenerics r-iranges r-s4vectors))
6994 (home-page "https://bioconductor.org/packages/XVector")
6995 (synopsis "Representation and manpulation of external sequences")
6996 (description
6997 "This package provides memory efficient S4 classes for storing sequences
6998 \"externally\" (behind an R external pointer, or on disk).")
6999 (license license:artistic2.0)))
7000
7001 (define-public r-zlibbioc
7002 (package
7003 (name "r-zlibbioc")
7004 (version "1.42.0")
7005 (source (origin
7006 (method url-fetch)
7007 (uri (bioconductor-uri "zlibbioc" version))
7008 (sha256
7009 (base32
7010 "0w0y9jixdk6akmasn55g9g0nhlh93hbca5bwx5w1fypnvqrqpxzv"))))
7011 (properties
7012 `((upstream-name . "zlibbioc")))
7013 (build-system r-build-system)
7014 (home-page "https://bioconductor.org/packages/zlibbioc")
7015 (synopsis "Provider for zlib-1.2.5 to R packages")
7016 (description "This package uses the source code of zlib-1.2.5 to create
7017 libraries for systems that do not have these available via other means.")
7018 (license license:artistic2.0)))
7019
7020 (define-public r-zellkonverter
7021 (package
7022 (name "r-zellkonverter")
7023 (version "1.6.5")
7024 (source
7025 (origin
7026 (method url-fetch)
7027 (uri (bioconductor-uri "zellkonverter" version))
7028 (sha256
7029 (base32 "0rxpjkisjj1xjchjjm72k8za5hn48wbdahmbllljvxm5ii6k36k6"))))
7030 (properties `((upstream-name . "zellkonverter")))
7031 (build-system r-build-system)
7032 (propagated-inputs
7033 (list r-basilisk
7034 r-cli
7035 r-delayedarray
7036 r-matrix
7037 r-reticulate
7038 r-s4vectors
7039 r-singlecellexperiment
7040 r-summarizedexperiment))
7041 (native-inputs (list r-knitr))
7042 (home-page "https://github.com/theislab/zellkonverter")
7043 (synopsis "Conversion between AnnData and single-cell experiments objects")
7044 (description
7045 "This package provides methods to convert between Python AnnData objects
7046 and SingleCellExperiment objects. These are primarily intended for use by
7047 downstream Bioconductor packages that wrap Python methods for single-cell data
7048 analysis. It also includes functions to read and write H5AD files used for
7049 saving AnnData objects to disk.")
7050 (license license:expat)))
7051
7052 (define-public r-geneplotter
7053 (package
7054 (name "r-geneplotter")
7055 (version "1.74.0")
7056 (source
7057 (origin
7058 (method url-fetch)
7059 (uri (bioconductor-uri "geneplotter" version))
7060 (sha256
7061 (base32
7062 "13230mzrdralnvf9jp032s16a8mk3kx5476nnvpa4pvcgp1i1ijc"))))
7063 (build-system r-build-system)
7064 (propagated-inputs
7065 (list r-annotate
7066 r-annotationdbi
7067 r-biobase
7068 r-biocgenerics
7069 r-lattice
7070 r-rcolorbrewer))
7071 (home-page "https://bioconductor.org/packages/geneplotter")
7072 (synopsis "Graphics functions for genomic data")
7073 (description
7074 "This package provides functions for plotting genomic data.")
7075 (license license:artistic2.0)))
7076
7077 (define-public r-oligoclasses
7078 (package
7079 (name "r-oligoclasses")
7080 (version "1.58.0")
7081 (source
7082 (origin
7083 (method url-fetch)
7084 (uri (bioconductor-uri "oligoClasses" version))
7085 (sha256
7086 (base32
7087 "1m4x50gl1fm5waa531v7ml0q229q65qn9cgiwnvjg721fvra7mdk"))))
7088 (properties `((upstream-name . "oligoClasses")))
7089 (build-system r-build-system)
7090 (propagated-inputs
7091 (list r-affyio
7092 r-biobase
7093 r-biocgenerics
7094 r-biocmanager
7095 r-biostrings
7096 r-dbi
7097 r-ff
7098 r-foreach
7099 r-genomicranges
7100 r-iranges
7101 r-rsqlite
7102 r-s4vectors
7103 r-summarizedexperiment))
7104 (home-page "https://bioconductor.org/packages/oligoClasses/")
7105 (synopsis "Classes for high-throughput arrays")
7106 (description
7107 "This package contains class definitions, validity checks, and
7108 initialization methods for classes used by the @code{oligo} and @code{crlmm}
7109 packages.")
7110 (license license:gpl2+)))
7111
7112 (define-public r-oligo
7113 (package
7114 (name "r-oligo")
7115 (version "1.60.0")
7116 (source
7117 (origin
7118 (method url-fetch)
7119 (uri (bioconductor-uri "oligo" version))
7120 (sha256
7121 (base32
7122 "0y7j96rafm9b85sxq2483i73685i3j67lk33fn8nfcav6lmsv5vy"))))
7123 (properties `((upstream-name . "oligo")))
7124 (build-system r-build-system)
7125 (inputs (list zlib))
7126 (propagated-inputs
7127 (list r-affxparser
7128 r-affyio
7129 r-biobase
7130 r-biocgenerics
7131 r-biostrings
7132 r-dbi
7133 r-ff
7134 r-oligoclasses
7135 r-preprocesscore
7136 r-rsqlite
7137 r-zlibbioc))
7138 (native-inputs
7139 (list r-knitr))
7140 (home-page "https://bioconductor.org/packages/oligo/")
7141 (synopsis "Preprocessing tools for oligonucleotide arrays")
7142 (description
7143 "This package provides a package to analyze oligonucleotide
7144 arrays (expression/SNP/tiling/exon) at probe-level. It currently supports
7145 Affymetrix (CEL files) and NimbleGen arrays (XYS files).")
7146 (license license:lgpl2.0+)))
7147
7148 (define-public r-qvalue
7149 (package
7150 (name "r-qvalue")
7151 (version "2.28.0")
7152 (source
7153 (origin
7154 (method url-fetch)
7155 (uri (bioconductor-uri "qvalue" version))
7156 (sha256
7157 (base32
7158 "0cvhm5cldcnnxwa293dig1pj9lvj2hnz9zh4gfr25sw0xlcjzmyw"))))
7159 (build-system r-build-system)
7160 (propagated-inputs
7161 (list r-ggplot2 r-reshape2))
7162 (native-inputs
7163 (list r-knitr))
7164 (home-page "https://github.com/StoreyLab/qvalue")
7165 (synopsis "Q-value estimation for false discovery rate control")
7166 (description
7167 "This package takes a list of p-values resulting from the simultaneous
7168 testing of many hypotheses and estimates their q-values and local @dfn{false
7169 discovery rate} (FDR) values. The q-value of a test measures the proportion
7170 of false positives incurred when that particular test is called significant.
7171 The local FDR measures the posterior probability the null hypothesis is true
7172 given the test's p-value. Various plots are automatically generated, allowing
7173 one to make sensible significance cut-offs. The software can be applied to
7174 problems in genomics, brain imaging, astrophysics, and data mining.")
7175 ;; Any version of the LGPL.
7176 (license license:lgpl3+)))
7177
7178 (define r-rcppnumerical
7179 (package
7180 (name "r-rcppnumerical")
7181 (version "0.4-0")
7182 (source (origin
7183 (method url-fetch)
7184 (uri (cran-uri "RcppNumerical" version))
7185 (sha256
7186 (base32
7187 "1a92fql6mijhnr1kxkcxwivf95pk9lhgmhzkshs51h0ybfv5krik"))))
7188 (properties `((upstream-name . "RcppNumerical")))
7189 (build-system r-build-system)
7190 (propagated-inputs
7191 `(("r-rcpp" ,r-rcpp)
7192 ("r-rcppeigen" ,r-rcppeigen)))
7193 (native-inputs
7194 `(("r-knitr" ,r-knitr)))
7195 (home-page "https://github.com/yixuan/RcppNumerical")
7196 (synopsis "Rcpp integration for numerical computing libraries")
7197 (description
7198 "This package provides a collection of libraries for numerical computing
7199 (numerical integration, optimization, etc.) and their integration with
7200 @code{Rcpp}.")
7201 (license license:gpl2+)))
7202
7203 (define-public r-apeglm
7204 (package
7205 (name "r-apeglm")
7206 (version "1.18.0")
7207 (source (origin
7208 (method url-fetch)
7209 (uri (bioconductor-uri "apeglm" version))
7210 (sha256
7211 (base32
7212 "1ppwk4g66x46hpqsfsvhl12398d1srqr47nmp0y2gz212kff0rby"))))
7213 (properties `((upstream-name . "apeglm")))
7214 (build-system r-build-system)
7215 (propagated-inputs
7216 (list r-emdbook
7217 r-genomicranges
7218 r-rcpp
7219 r-rcppeigen
7220 r-rcppnumerical
7221 r-summarizedexperiment))
7222 (native-inputs (list r-knitr))
7223 (home-page "https://bioconductor.org/packages/apeglm")
7224 (synopsis "Approximate posterior estimation for GLM coefficients")
7225 (description "This package provides Bayesian shrinkage estimators for
7226 effect sizes for a variety of GLM models, using approximation of the
7227 posterior for individual coefficients.")
7228 (license license:gpl2)))
7229
7230 (define-public r-greylistchip
7231 (package
7232 (name "r-greylistchip")
7233 (version "1.28.1")
7234 (source (origin
7235 (method url-fetch)
7236 (uri (bioconductor-uri "GreyListChIP" version))
7237 (sha256
7238 (base32
7239 "0w52vwvjarql19bsv40b80yn701qx8c9d0clsjhj85wmzj2p6dhg"))))
7240 (properties `((upstream-name . "GreyListChIP")))
7241 (build-system r-build-system)
7242 (propagated-inputs
7243 (list r-bsgenome
7244 r-genomeinfodb
7245 r-genomicalignments
7246 r-genomicranges
7247 r-mass
7248 r-rsamtools
7249 r-rtracklayer
7250 r-summarizedexperiment))
7251 (home-page "https://bioconductor.org/packages/GreyListChIP")
7252 (synopsis "Greylist artefact regions based on ChIP inputs")
7253 (description "This package identifies regions of ChIP experiments with high
7254 signal in the input, that lead to spurious peaks during peak calling.")
7255 (license license:artistic2.0)))
7256
7257 (define-public r-diffbind
7258 (package
7259 (name "r-diffbind")
7260 (version "3.6.4")
7261 (source
7262 (origin
7263 (method url-fetch)
7264 (uri (bioconductor-uri "DiffBind" version))
7265 (sha256
7266 (base32
7267 "035xczcir4q7yj6x9m3yq3dpvbfas9la925avni8147cwhybagqr"))))
7268 (properties `((upstream-name . "DiffBind")))
7269 (build-system r-build-system)
7270 (propagated-inputs
7271 (list r-amap
7272 r-apeglm
7273 r-ashr
7274 r-biocparallel
7275 r-deseq2
7276 r-dplyr
7277 r-genomicalignments
7278 r-genomicranges
7279 r-ggplot2
7280 r-ggrepel
7281 r-gplots
7282 r-greylistchip
7283 r-iranges
7284 r-lattice
7285 r-limma
7286 r-locfit
7287 r-rcolorbrewer
7288 r-rcpp
7289 r-rhtslib
7290 r-rsamtools
7291 r-s4vectors
7292 r-summarizedexperiment
7293 r-systempiper))
7294 (home-page "https://bioconductor.org/packages/DiffBind")
7295 (synopsis "Differential binding analysis of ChIP-Seq peak data")
7296 (description
7297 "This package computes differentially bound sites from multiple
7298 ChIP-seq experiments using affinity (quantitative) data. Also enables
7299 occupancy (overlap) analysis and plotting functions.")
7300 (license license:artistic2.0)))
7301
7302 (define-public r-ripseeker
7303 (package
7304 (name "r-ripseeker")
7305 (version "1.26.0")
7306 (source
7307 (origin
7308 (method url-fetch)
7309 (uri (bioconductor-uri "RIPSeeker" version))
7310 (sha256
7311 (base32
7312 "1wyv9mfrbxzklysfjcnwb8yils71janyyxa982jn0zxx4p9cl3vs"))))
7313 (properties `((upstream-name . "RIPSeeker")))
7314 (build-system r-build-system)
7315 (propagated-inputs
7316 (list r-s4vectors
7317 r-iranges
7318 r-genomicranges
7319 r-summarizedexperiment
7320 r-rsamtools
7321 r-genomicalignments
7322 r-rtracklayer))
7323 (home-page "https://bioconductor.org/packages/RIPSeeker")
7324 (synopsis
7325 "Identifying protein-associated transcripts from RIP-seq experiments")
7326 (description
7327 "This package infers and discriminates RIP peaks from RIP-seq alignments
7328 using two-state HMM with negative binomial emission probability. While
7329 RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides
7330 a suite of bioinformatics tools integrated within this self-contained software
7331 package comprehensively addressing issues ranging from post-alignments
7332 processing to visualization and annotation.")
7333 (license license:gpl2)))
7334
7335 (define-public r-mbkmeans
7336 (package
7337 (name "r-mbkmeans")
7338 (version "1.12.0")
7339 (source (origin
7340 (method url-fetch)
7341 (uri (bioconductor-uri "mbkmeans" version))
7342 (sha256
7343 (base32
7344 "1f5krzlyqljz763vkp1a50danjn78xhn35s8qqdvzrmwyx0fzphg"))))
7345 (build-system r-build-system)
7346 (native-inputs
7347 (list r-knitr))
7348 (propagated-inputs
7349 (list r-beachmat
7350 r-benchmarkme
7351 r-biocparallel
7352 r-clusterr
7353 r-delayedarray
7354 r-matrix
7355 r-rcpp
7356 r-rcpparmadillo
7357 r-rhdf5lib
7358 r-s4vectors
7359 r-singlecellexperiment
7360 r-summarizedexperiment))
7361 (home-page "https://bioconductor.org/packages/mbkmeans")
7362 (synopsis "Mini-batch k-means clustering for single-cell RNA-seq")
7363 (description "This package implements the mini-batch k-means algorithm for
7364 large datasets, including support for on-disk data representation.")
7365 (license license:expat)))
7366
7367 (define-public r-multtest
7368 (package
7369 (name "r-multtest")
7370 (version "2.52.0")
7371 (source
7372 (origin
7373 (method url-fetch)
7374 (uri (bioconductor-uri "multtest" version))
7375 (sha256
7376 (base32
7377 "037wcmwk1wvhjxgmlvnk289pkwishi1753ajkmy9x14xlmldix82"))))
7378 (build-system r-build-system)
7379 (propagated-inputs
7380 (list r-survival r-biocgenerics r-biobase r-mass))
7381 (home-page "https://bioconductor.org/packages/multtest")
7382 (synopsis "Resampling-based multiple hypothesis testing")
7383 (description
7384 "This package can do non-parametric bootstrap and permutation
7385 resampling-based multiple testing procedures (including empirical Bayes
7386 methods) for controlling the family-wise error rate (FWER), generalized
7387 family-wise error rate (gFWER), tail probability of the proportion of
7388 false positives (TPPFP), and false discovery rate (FDR). Several choices
7389 of bootstrap-based null distribution are implemented (centered, centered
7390 and scaled, quantile-transformed). Single-step and step-wise methods are
7391 available. Tests based on a variety of T- and F-statistics (including
7392 T-statistics based on regression parameters from linear and survival models
7393 as well as those based on correlation parameters) are included. When probing
7394 hypotheses with T-statistics, users may also select a potentially faster null
7395 distribution which is multivariate normal with mean zero and variance
7396 covariance matrix derived from the vector influence function. Results are
7397 reported in terms of adjusted P-values, confidence regions and test statistic
7398 cutoffs. The procedures are directly applicable to identifying differentially
7399 expressed genes in DNA microarray experiments.")
7400 (license license:lgpl3)))
7401
7402 (define-public r-graph
7403 (package
7404 (name "r-graph")
7405 (version "1.74.0")
7406 (source (origin
7407 (method url-fetch)
7408 (uri (bioconductor-uri "graph" version))
7409 (sha256
7410 (base32
7411 "1b8hrjwjg82kicls1496fxfzv75xjvq2k6r9apzsd3qlbyg3ilg4"))))
7412 (build-system r-build-system)
7413 (propagated-inputs
7414 (list r-biocgenerics))
7415 (home-page "https://bioconductor.org/packages/graph")
7416 (synopsis "Handle graph data structures in R")
7417 (description
7418 "This package implements some simple graph handling capabilities for R.")
7419 (license license:artistic2.0)))
7420
7421 ;; This is a CRAN package, but it depends on a Bioconductor package.
7422 (define-public r-ggm
7423 (package
7424 (name "r-ggm")
7425 (version "2.5")
7426 (source
7427 (origin
7428 (method url-fetch)
7429 (uri (cran-uri "ggm" version))
7430 (sha256
7431 (base32
7432 "11wc6k2kj2ydy0dyks5mbvbhxm1r43id87anl1jg6dn0yv4m78di"))))
7433 (properties `((upstream-name . "ggm")))
7434 (build-system r-build-system)
7435 (propagated-inputs
7436 (list r-graph r-igraph))
7437 (home-page "https://cran.r-project.org/package=ggm")
7438 (synopsis "Functions for graphical Markov models")
7439 (description
7440 "This package provides functions and datasets for maximum likelihood
7441 fitting of some classes of graphical Markov models.")
7442 (license license:gpl2+)))
7443
7444 ;; This is a CRAN package, but it depends on a Bioconductor package, r-graph.
7445 (define-public r-perfmeas
7446 (package
7447 (name "r-perfmeas")
7448 (version "1.2.5")
7449 (source
7450 (origin
7451 (method url-fetch)
7452 (uri (cran-uri "PerfMeas" version))
7453 (sha256
7454 (base32
7455 "13yjk0kwpbsqwl056hzf0zj2br1mk4faqcn1whdfxmq348c14hjb"))))
7456 (properties `((upstream-name . "PerfMeas")))
7457 (build-system r-build-system)
7458 (propagated-inputs
7459 (list r-graph r-limma r-rbgl))
7460 (home-page "https://cran.r-project.org/web/packages/PerfMeas/")
7461 (synopsis "Performance measures for ranking and classification tasks")
7462 (description
7463 "This package implements different performance measures for
7464 classification and ranking tasks. @dfn{Area under curve} (AUC), precision at
7465 a given recall, F-score for single and multiple classes are available.")
7466 (license license:gpl2+)))
7467
7468 ;; This is a CRAN package, but it depends on a Bioconductor package.
7469 (define-public r-codedepends
7470 (package
7471 (name "r-codedepends")
7472 (version "0.6.5")
7473 (source
7474 (origin
7475 (method url-fetch)
7476 (uri (cran-uri "CodeDepends" version))
7477 (sha256
7478 (base32
7479 "0l7kiv3awx50glf5cs841b4zzsff1ml90f0zr868ygvwsr4ps1hq"))))
7480 (properties `((upstream-name . "CodeDepends")))
7481 (build-system r-build-system)
7482 (propagated-inputs
7483 (list r-codetools r-graph r-xml))
7484 (home-page "https://cran.r-project.org/web/packages/CodeDepends")
7485 (synopsis "Analysis of R code for reproducible research and code comprehension")
7486 (description
7487 "This package provides tools for analyzing R expressions or blocks of
7488 code and determining the dependencies between them. It focuses on R scripts,
7489 but can be used on the bodies of functions. There are many facilities
7490 including the ability to summarize or get a high-level view of code,
7491 determining dependencies between variables, code improvement suggestions.")
7492 ;; Any version of the GPL
7493 (license (list license:gpl2+ license:gpl3+))))
7494
7495 (define-public r-chippeakanno
7496 (package
7497 (name "r-chippeakanno")
7498 (version "3.30.1")
7499 (source
7500 (origin
7501 (method url-fetch)
7502 (uri (bioconductor-uri "ChIPpeakAnno" version))
7503 (sha256
7504 (base32
7505 "0a26glldxczcfymjvd45gv5m4hympziivm6wwx4ab9wld7n43l8y"))))
7506 (properties `((upstream-name . "ChIPpeakAnno")))
7507 (build-system r-build-system)
7508 (propagated-inputs
7509 (list r-annotationdbi
7510 r-biocgenerics
7511 r-biomart
7512 r-biostrings
7513 r-dbi
7514 r-dplyr
7515 r-ensembldb
7516 r-genomeinfodb
7517 r-genomicalignments
7518 r-genomicfeatures
7519 r-genomicranges
7520 r-ggplot2
7521 r-graph
7522 r-interactionset
7523 r-iranges
7524 r-keggrest
7525 r-matrixstats
7526 r-multtest
7527 r-rbgl
7528 r-regioner
7529 r-rsamtools
7530 r-rtracklayer
7531 r-s4vectors
7532 r-summarizedexperiment
7533 r-venndiagram))
7534 (native-inputs
7535 (list r-knitr))
7536 (home-page "https://bioconductor.org/packages/ChIPpeakAnno")
7537 (synopsis "Peaks annotation from ChIP-seq and ChIP-chip experiments")
7538 (description
7539 "The package includes functions to retrieve the sequences around the peak,
7540 obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or
7541 custom features such as most conserved elements and other transcription factor
7542 binding sites supplied by users. Starting 2.0.5, new functions have been added
7543 for finding the peaks with bi-directional promoters with summary statistics
7544 (peaksNearBDP), for summarizing the occurrence of motifs in peaks
7545 (summarizePatternInPeaks) and for adding other IDs to annotated peaks or
7546 enrichedGO (addGeneIDs).")
7547 (license license:gpl2+)))
7548
7549 (define-public r-matrixgenerics
7550 (package
7551 (name "r-matrixgenerics")
7552 (version "1.8.1")
7553 (source (origin
7554 (method url-fetch)
7555 (uri (bioconductor-uri "MatrixGenerics" version))
7556 (sha256
7557 (base32
7558 "1liblnpziyyjxzrhdd5d89ilvfqqhbl87h3hsmdm0kwnmc73r37f"))))
7559 (properties
7560 `((upstream-name . "MatrixGenerics")))
7561 (build-system r-build-system)
7562 (propagated-inputs
7563 (list r-matrixstats))
7564 (home-page "https://bioconductor.org/packages/MatrixGenerics")
7565 (synopsis "S4 generic summary statistic functions for matrix-like objects")
7566 (description
7567 "This package provides S4 generic functions modeled after the
7568 @code{matrixStats} API for alternative matrix implementations. Packages with
7569 alternative matrix implementation can depend on this package and implement the
7570 generic functions that are defined here for a useful set of row and column
7571 summary statistics. Other package developers can import this package and
7572 handle a different matrix implementations without worrying about
7573 incompatibilities.")
7574 (license license:artistic2.0)))
7575
7576 (define-public r-marray
7577 (package
7578 (name "r-marray")
7579 (version "1.74.0")
7580 (source (origin
7581 (method url-fetch)
7582 (uri (bioconductor-uri "marray" version))
7583 (sha256
7584 (base32 "0awfz0akz3sylyw1jxhxgadv1rqdzvy9v11933yxkl9a8m9ngm8i"))))
7585 (build-system r-build-system)
7586 (propagated-inputs
7587 (list r-limma))
7588 (home-page "https://bioconductor.org/packages/marray")
7589 (synopsis "Exploratory analysis for two-color spotted microarray data")
7590 (description "This package contains class definitions for two-color spotted
7591 microarray data. It also includes functions for data input, diagnostic plots,
7592 normalization and quality checking.")
7593 (license license:lgpl2.0+)))
7594
7595 (define-public r-cghbase
7596 (package
7597 (name "r-cghbase")
7598 (version "1.56.0")
7599 (source (origin
7600 (method url-fetch)
7601 (uri (bioconductor-uri "CGHbase" version))
7602 (sha256
7603 (base32 "1q8yy60r4g5nyv2gbfdgk192xd73c0rrjr668d5616ddb7sx8wcr"))))
7604 (properties `((upstream-name . "CGHbase")))
7605 (build-system r-build-system)
7606 (propagated-inputs
7607 (list r-biobase r-marray))
7608 (home-page "https://bioconductor.org/packages/CGHbase")
7609 (synopsis "Base functions and classes for arrayCGH data analysis")
7610 (description "This package contains functions and classes that are needed by
7611 the @code{arrayCGH} packages.")
7612 (license license:gpl2+)))
7613
7614 (define-public r-cghcall
7615 (package
7616 (name "r-cghcall")
7617 (version "2.58.0")
7618 (source (origin
7619 (method url-fetch)
7620 (uri (bioconductor-uri "CGHcall" version))
7621 (sha256
7622 (base32 "1qpsibp4gb09sn6fkwwrdjkh3a28lqfbk18c6fvn4m386j96ps65"))))
7623 (properties `((upstream-name . "CGHcall")))
7624 (build-system r-build-system)
7625 (propagated-inputs
7626 (list r-biobase r-cghbase r-impute r-dnacopy r-snowfall))
7627 (home-page "https://bioconductor.org/packages/CGHcall")
7628 (synopsis "Base functions and classes for arrayCGH data analysis")
7629 (description "This package contains functions and classes that are needed by
7630 @code{arrayCGH} packages.")
7631 (license license:gpl2+)))
7632
7633 (define-public r-qdnaseq
7634 (package
7635 (name "r-qdnaseq")
7636 (version "1.32.0")
7637 (source (origin
7638 (method url-fetch)
7639 (uri (bioconductor-uri "QDNAseq" version))
7640 (sha256
7641 (base32 "0s360s72lfn9vjml88gg1m40n61s0dc66ilzgfjdcp65djdxxfvm"))))
7642 (properties `((upstream-name . "QDNAseq")))
7643 (build-system r-build-system)
7644 (propagated-inputs
7645 (list r-biobase
7646 r-cghbase
7647 r-cghcall
7648 r-dnacopy
7649 r-future-apply
7650 r-genomicranges
7651 r-iranges
7652 r-matrixstats
7653 r-r-utils
7654 r-rsamtools))
7655 (home-page "https://bioconductor.org/packages/QDNAseq")
7656 (synopsis "Quantitative DNA sequencing for chromosomal aberrations")
7657 (description "The genome is divided into non-overlapping fixed-sized bins,
7658 number of sequence reads in each counted, adjusted with a simultaneous
7659 two-dimensional loess correction for sequence mappability and GC content, and
7660 filtered to remove spurious regions in the genome. Downstream steps of
7661 segmentation and calling are also implemented via packages DNAcopy and CGHcall,
7662 respectively.")
7663 (license license:gpl2+)))
7664
7665 (define-public r-bayseq
7666 (package
7667 (name "r-bayseq")
7668 (version "2.30.0")
7669 (source
7670 (origin
7671 (method url-fetch)
7672 (uri (bioconductor-uri "baySeq" version))
7673 (sha256
7674 (base32
7675 "1yqykndyv32s2rk7x86qf410qr0pigc8z4gdkl8vhj4dgyr47n2j"))))
7676 (properties `((upstream-name . "baySeq")))
7677 (build-system r-build-system)
7678 (propagated-inputs
7679 (list r-abind r-edger r-genomicranges))
7680 (home-page "https://bioconductor.org/packages/baySeq/")
7681 (synopsis "Bayesian analysis of differential expression patterns in count data")
7682 (description
7683 "This package identifies differential expression in high-throughput count
7684 data, such as that derived from next-generation sequencing machines,
7685 calculating estimated posterior likelihoods of differential expression (or
7686 more complex hypotheses) via empirical Bayesian methods.")
7687 (license license:gpl3)))
7688
7689 (define-public r-chipcomp
7690 (package
7691 (name "r-chipcomp")
7692 (version "1.26.0")
7693 (source
7694 (origin
7695 (method url-fetch)
7696 (uri (bioconductor-uri "ChIPComp" version))
7697 (sha256
7698 (base32
7699 "06q34y59gf1iz0rs7y5x8ndy1wa95j65rfmz37aym5c46ijqsnq0"))))
7700 (properties `((upstream-name . "ChIPComp")))
7701 (build-system r-build-system)
7702 (propagated-inputs
7703 (list r-biocgenerics
7704 r-bsgenome-hsapiens-ucsc-hg19
7705 r-bsgenome-mmusculus-ucsc-mm9
7706 r-genomeinfodb
7707 r-genomicranges
7708 r-iranges
7709 r-limma
7710 r-rsamtools
7711 r-rtracklayer
7712 r-s4vectors))
7713 (home-page "https://bioconductor.org/packages/ChIPComp")
7714 (synopsis "Quantitative comparison of multiple ChIP-seq datasets")
7715 (description
7716 "ChIPComp implements a statistical method for quantitative comparison of
7717 multiple ChIP-seq datasets. It detects differentially bound sharp binding
7718 sites across multiple conditions considering matching control in ChIP-seq
7719 datasets.")
7720 ;; Any version of the GPL.
7721 (license license:gpl3+)))
7722
7723 (define-public r-riboprofiling
7724 (package
7725 (name "r-riboprofiling")
7726 (version "1.26.0")
7727 (source
7728 (origin
7729 (method url-fetch)
7730 (uri (bioconductor-uri "RiboProfiling" version))
7731 (sha256
7732 (base32
7733 "08m4rc530bkzcc43iwzg2fw9cjlf4wc2d8akv5vblsb42xdn8sqp"))))
7734 (properties `((upstream-name . "RiboProfiling")))
7735 (build-system r-build-system)
7736 (propagated-inputs
7737 (list r-biocgenerics
7738 r-biostrings
7739 r-data-table
7740 r-genomeinfodb
7741 r-genomicalignments
7742 r-genomicfeatures
7743 r-genomicranges
7744 r-ggbio
7745 r-ggplot2
7746 r-iranges
7747 r-plyr
7748 r-reshape2
7749 r-rsamtools
7750 r-rtracklayer
7751 r-s4vectors
7752 r-sqldf))
7753 (native-inputs
7754 (list r-knitr))
7755 (home-page "https://bioconductor.org/packages/RiboProfiling/")
7756 (synopsis "Ribosome profiling data analysis")
7757 (description "Starting with a BAM file, this package provides the
7758 necessary functions for quality assessment, read start position recalibration,
7759 the counting of genomic sequence reads on CDS, 3'UTR, and 5'UTR, and plotting
7760 of count data: pairs, log fold-change, codon frequency and coverage
7761 assessment, principal component analysis on codon coverage.")
7762 (license license:gpl3)))
7763
7764 (define-public r-riboseqr
7765 (package
7766 (name "r-riboseqr")
7767 (version "1.30.0")
7768 (source
7769 (origin
7770 (method url-fetch)
7771 (uri (bioconductor-uri "riboSeqR" version))
7772 (sha256
7773 (base32
7774 "1zs3y0icsqrndjp9wwqz3jxysvyc9pch45y49j6g9b5b2l44ma26"))))
7775 (properties `((upstream-name . "riboSeqR")))
7776 (build-system r-build-system)
7777 (propagated-inputs
7778 (list r-abind
7779 r-bayseq
7780 r-genomeinfodb
7781 r-genomicranges
7782 r-iranges
7783 r-rsamtools
7784 r-seqlogo))
7785 (home-page "https://bioconductor.org/packages/riboSeqR/")
7786 (synopsis "Analysis of sequencing data from ribosome profiling experiments")
7787 (description
7788 "This package provides plotting functions, frameshift detection and
7789 parsing of genetic sequencing data from ribosome profiling experiments.")
7790 (license license:gpl3)))
7791
7792 (define-public r-interactionset
7793 (package
7794 (name "r-interactionset")
7795 (version "1.24.0")
7796 (source
7797 (origin
7798 (method url-fetch)
7799 (uri (bioconductor-uri "InteractionSet" version))
7800 (sha256
7801 (base32
7802 "0qjimx25jvm8siq8hmlbf2z6mknzpbq945p06fsj826k57bpcsm5"))))
7803 (properties
7804 `((upstream-name . "InteractionSet")))
7805 (build-system r-build-system)
7806 (propagated-inputs
7807 (list r-biocgenerics
7808 r-genomeinfodb
7809 r-genomicranges
7810 r-iranges
7811 r-matrix
7812 r-rcpp
7813 r-s4vectors
7814 r-summarizedexperiment))
7815 (native-inputs
7816 (list r-knitr))
7817 (home-page "https://bioconductor.org/packages/InteractionSet")
7818 (synopsis "Base classes for storing genomic interaction data")
7819 (description
7820 "This package provides the @code{GInteractions},
7821 @code{InteractionSet} and @code{ContactMatrix} objects and associated methods
7822 for storing and manipulating genomic interaction data from Hi-C and ChIA-PET
7823 experiments.")
7824 (license license:gpl3)))
7825
7826 (define-public r-genomicinteractions
7827 (package
7828 (name "r-genomicinteractions")
7829 (version "1.30.0")
7830 (source
7831 (origin
7832 (method url-fetch)
7833 (uri (bioconductor-uri "GenomicInteractions" version))
7834 (sha256
7835 (base32
7836 "0aph1hja5vfprxs3jl4zd1inhvih6m3v1p3jkm6w7xpj3jzvmgbx"))))
7837 (properties
7838 `((upstream-name . "GenomicInteractions")))
7839 (build-system r-build-system)
7840 (propagated-inputs
7841 (list r-biobase
7842 r-biocgenerics
7843 r-data-table
7844 r-dplyr
7845 r-genomeinfodb
7846 r-genomicranges
7847 r-ggplot2
7848 r-gridextra
7849 r-gviz
7850 r-igraph
7851 r-interactionset
7852 r-iranges
7853 r-rsamtools
7854 r-rtracklayer
7855 r-s4vectors
7856 r-stringr))
7857 (native-inputs
7858 (list r-knitr))
7859 (home-page "https://github.com/ComputationalRegulatoryGenomicsICL/GenomicInteractions/")
7860 (synopsis "R package for handling genomic interaction data")
7861 (description
7862 "This R package provides tools for handling genomic interaction data,
7863 such as ChIA-PET/Hi-C, annotating genomic features with interaction
7864 information and producing various plots and statistics.")
7865 (license license:gpl3)))
7866
7867 (define-public r-ctc
7868 (package
7869 (name "r-ctc")
7870 (version "1.70.0")
7871 (source
7872 (origin
7873 (method url-fetch)
7874 (uri (bioconductor-uri "ctc" version))
7875 (sha256
7876 (base32
7877 "0c9pgp25dqx12fmi4cqm7xyxjmy6g7wv9vbljgdjghaij2lrc4pb"))))
7878 (build-system r-build-system)
7879 (propagated-inputs (list r-amap))
7880 (home-page "https://bioconductor.org/packages/ctc/")
7881 (synopsis "Cluster and tree conversion")
7882 (description
7883 "This package provides tools for exporting and importing classification
7884 trees and clusters to other programs.")
7885 (license license:gpl2)))
7886
7887 (define-public r-goseq
7888 (package
7889 (name "r-goseq")
7890 (version "1.48.0")
7891 (source
7892 (origin
7893 (method url-fetch)
7894 (uri (bioconductor-uri "goseq" version))
7895 (sha256
7896 (base32
7897 "1w0rwzhqkvp2x7y5v0qcyjbss0p95gb1jrnx5sdkqginbvrmrd48"))))
7898 (build-system r-build-system)
7899 (propagated-inputs
7900 (list r-annotationdbi
7901 r-biasedurn
7902 r-biocgenerics
7903 r-genelendatabase
7904 r-go-db
7905 r-mgcv))
7906 (home-page "https://bioconductor.org/packages/goseq/")
7907 (synopsis "Gene Ontology analyser for RNA-seq and other length biased data")
7908 (description
7909 "This package provides tools to detect Gene Ontology and/or other user
7910 defined categories which are over/under represented in RNA-seq data.")
7911 (license license:lgpl2.0+)))
7912
7913 (define-public r-glimma
7914 (package
7915 (name "r-glimma")
7916 (version "2.6.0")
7917 (source
7918 (origin
7919 (method url-fetch)
7920 (uri (bioconductor-uri "Glimma" version))
7921 (sha256
7922 (base32
7923 "1k17ay09vhb2hakg1vrgvpp1zliavlj7cdkxaal162bc3v8pyvyz"))))
7924 (properties `((upstream-name . "Glimma")))
7925 (build-system r-build-system)
7926 (propagated-inputs
7927 (list r-deseq2
7928 r-edger
7929 r-htmlwidgets
7930 r-jsonlite
7931 r-limma
7932 r-s4vectors
7933 r-summarizedexperiment))
7934 (native-inputs
7935 (list r-knitr))
7936 (home-page "https://github.com/Shians/Glimma")
7937 (synopsis "Interactive HTML graphics")
7938 (description
7939 "This package generates interactive visualisations for analysis of
7940 RNA-sequencing data using output from limma, edgeR or DESeq2 packages in an
7941 HTML page. The interactions are built on top of the popular static
7942 representations of analysis results in order to provide additional
7943 information.")
7944 (license license:lgpl3)))
7945
7946 (define-public r-rots
7947 (package
7948 (name "r-rots")
7949 (version "1.24.0")
7950 (source
7951 (origin
7952 (method url-fetch)
7953 (uri (bioconductor-uri "ROTS" version))
7954 (sha256
7955 (base32
7956 "021a578p8kcl5yd9myiy0h2qp10r30ggnip2kp6xs7dx8nzic96r"))))
7957 (properties `((upstream-name . "ROTS")))
7958 (build-system r-build-system)
7959 (propagated-inputs
7960 (list r-biobase r-rcpp))
7961 (home-page "https://bioconductor.org/packages/ROTS/")
7962 (synopsis "Reproducibility-Optimized Test Statistic")
7963 (description
7964 "This package provides tools for calculating the
7965 @dfn{Reproducibility-Optimized Test Statistic} (ROTS) for differential testing
7966 in omics data.")
7967 (license license:gpl2+)))
7968
7969 (define-public r-plgem
7970 (package
7971 (name "r-plgem")
7972 (version "1.68.0")
7973 (source
7974 (origin
7975 (method url-fetch)
7976 (uri (bioconductor-uri "plgem" version))
7977 (sha256
7978 (base32
7979 "07zxflxcay17hxjw3wh5kfdwl2x8537csb18p1qzmyrkvscnja77"))))
7980 (build-system r-build-system)
7981 (propagated-inputs
7982 (list r-biobase r-mass))
7983 (home-page "http://www.genopolis.it")
7984 (synopsis "Detect differential expression in microarray and proteomics datasets")
7985 (description
7986 "The Power Law Global Error Model (PLGEM) has been shown to faithfully
7987 model the variance-versus-mean dependence that exists in a variety of
7988 genome-wide datasets, including microarray and proteomics data. The use of
7989 PLGEM has been shown to improve the detection of differentially expressed
7990 genes or proteins in these datasets.")
7991 (license license:gpl2)))
7992
7993 (define-public r-inspect
7994 (package
7995 (name "r-inspect")
7996 (version "1.26.0")
7997 (source
7998 (origin
7999 (method url-fetch)
8000 (uri (bioconductor-uri "INSPEcT" version))
8001 (sha256
8002 (base32
8003 "0jx887vhxwd8zlqajr9czvn9nx88ryyxlnl58hxrlajjpcjkz9ax"))))
8004 (properties `((upstream-name . "INSPEcT")))
8005 (build-system r-build-system)
8006 (propagated-inputs
8007 (list r-biobase
8008 r-biocgenerics
8009 r-biocparallel
8010 r-deseq2
8011 r-desolve
8012 r-gdata
8013 r-genomeinfodb
8014 r-genomicalignments
8015 r-genomicfeatures
8016 r-genomicranges
8017 r-iranges
8018 r-kernsmooth
8019 r-plgem
8020 r-proc
8021 r-rootsolve
8022 r-rsamtools
8023 r-rtracklayer
8024 r-s4vectors
8025 r-shiny
8026 r-summarizedexperiment
8027 r-txdb-mmusculus-ucsc-mm9-knowngene))
8028 (native-inputs
8029 (list r-knitr))
8030 (home-page "https://bioconductor.org/packages/INSPEcT")
8031 (synopsis "Analysis of 4sU-seq and RNA-seq time-course data")
8032 (description
8033 "INSPEcT (INference of Synthesis, Processing and dEgradation rates in
8034 Time-Course experiments) analyses 4sU-seq and RNA-seq time-course data in
8035 order to evaluate synthesis, processing and degradation rates and assess via
8036 modeling the rates that determines changes in mature mRNA levels.")
8037 (license license:gpl2)))
8038
8039 (define-public r-dnabarcodes
8040 (package
8041 (name "r-dnabarcodes")
8042 (version "1.26.0")
8043 (source
8044 (origin
8045 (method url-fetch)
8046 (uri (bioconductor-uri "DNABarcodes" version))
8047 (sha256
8048 (base32
8049 "0n2qlvpcjhrxr3br27gz9vhwcpf7sn6g4xdjazvvi3gqcgk90xc6"))))
8050 (properties `((upstream-name . "DNABarcodes")))
8051 (build-system r-build-system)
8052 (propagated-inputs
8053 (list r-bh r-matrix r-rcpp))
8054 (native-inputs
8055 (list r-knitr))
8056 (home-page "https://bioconductor.org/packages/DNABarcodes")
8057 (synopsis "Create and analyze DNA barcodes")
8058 (description
8059 "This package offers tools to create DNA barcode sets capable of
8060 correcting insertion, deletion, and substitution errors. Existing barcodes
8061 can be analyzed regarding their minimal, maximal and average distances between
8062 barcodes. Finally, reads that start with a (possibly mutated) barcode can be
8063 demultiplexed, i.e. assigned to their original reference barcode.")
8064 (license license:gpl2)))
8065
8066 (define-public r-ruvseq
8067 (package
8068 (name "r-ruvseq")
8069 (version "1.30.0")
8070 (source
8071 (origin
8072 (method url-fetch)
8073 (uri (bioconductor-uri "RUVSeq" version))
8074 (sha256
8075 (base32
8076 "001h07b074hvj16bjdp9llb9psphw7r6kpwhq61bj4519y6lpg7x"))))
8077 (properties `((upstream-name . "RUVSeq")))
8078 (build-system r-build-system)
8079 (propagated-inputs
8080 (list r-biobase r-edaseq r-edger r-mass))
8081 (native-inputs
8082 (list r-knitr))
8083 (home-page "https://github.com/drisso/RUVSeq")
8084 (synopsis "Remove unwanted variation from RNA-Seq data")
8085 (description
8086 "This package implements methods to @dfn{remove unwanted variation} (RUV)
8087 of Risso et al. (2014) for the normalization of RNA-Seq read counts between
8088 samples.")
8089 (license license:artistic2.0)))
8090
8091 (define-public r-biocneighbors
8092 (package
8093 (name "r-biocneighbors")
8094 (version "1.14.0")
8095 (source
8096 (origin
8097 (method url-fetch)
8098 (uri (bioconductor-uri "BiocNeighbors" version))
8099 (sha256
8100 (base32
8101 "1a43hzmcpxviqa9723hkafr6gm358amfpqj9d56imclkkfkdz95x"))))
8102 (properties `((upstream-name . "BiocNeighbors")))
8103 (build-system r-build-system)
8104 (propagated-inputs
8105 (list r-biocparallel r-matrix r-rcpp r-rcpphnsw r-s4vectors))
8106 (native-inputs
8107 (list r-knitr))
8108 (home-page "https://bioconductor.org/packages/BiocNeighbors")
8109 (synopsis "Nearest Neighbor Detection for Bioconductor packages")
8110 (description
8111 "This package implements exact and approximate methods for nearest
8112 neighbor detection, in a framework that allows them to be easily switched
8113 within Bioconductor packages or workflows. The exact algorithm is implemented
8114 using pre-clustering with the k-means algorithm. Functions are also provided
8115 to search for all neighbors within a given distance. Parallelization is
8116 achieved for all methods using the BiocParallel framework.")
8117 (license license:gpl3)))
8118
8119 (define-public r-scaledmatrix
8120 (package
8121 (name "r-scaledmatrix")
8122 (version "1.4.1")
8123 (source
8124 (origin
8125 (method url-fetch)
8126 (uri (bioconductor-uri "ScaledMatrix" version))
8127 (sha256
8128 (base32
8129 "05gxr41nb1jqhv357rfha4062kszvrmkr36mhkjsf7kgnzf0p8hz"))))
8130 (properties `((upstream-name . "ScaledMatrix")))
8131 (build-system r-build-system)
8132 (propagated-inputs
8133 (list r-delayedarray r-matrix r-s4vectors))
8134 (native-inputs (list r-knitr))
8135 (home-page "https://github.com/LTLA/ScaledMatrix")
8136 (synopsis "Create a DelayedMatrix of scaled and centered values")
8137 (description
8138 "This package provides delayed computation of a matrix of scaled and
8139 centered values. The result is equivalent to using the @code{scale} function
8140 but avoids explicit realization of a dense matrix during block processing.
8141 This permits greater efficiency in common operations, most notably matrix
8142 multiplication.")
8143 (license license:gpl3)))
8144
8145 (define-public r-treeio
8146 (package
8147 (name "r-treeio")
8148 (version "1.20.2")
8149 (source
8150 (origin
8151 (method url-fetch)
8152 (uri (bioconductor-uri "treeio" version))
8153 (sha256
8154 (base32
8155 "1jymbyl82n88ckw0nkbj72rvlxbk5m7xmcmq3fyi885z7aasc0x1"))))
8156 (properties `((upstream-name . "treeio")))
8157 (build-system r-build-system)
8158 (propagated-inputs
8159 (list r-ape
8160 r-dplyr
8161 r-jsonlite
8162 r-magrittr
8163 r-rlang
8164 r-tibble
8165 r-tidytree))
8166 (native-inputs (list r-knitr))
8167 (home-page "https://github.com/YuLab-SMU/treeio")
8168 (synopsis "Base classes and functions for Phylogenetic tree input and output")
8169 (description
8170 "This is an R package to make it easier to import and store phylogenetic
8171 trees with associated data; and to link external data from different sources
8172 to phylogeny. It also supports exporting phylogenetic trees with
8173 heterogeneous associated data to a single tree file and can be served as a
8174 platform for merging tree with associated data and converting file formats.")
8175 (license license:artistic2.0)))
8176
8177 (define-public r-ggtree
8178 (package
8179 (name "r-ggtree")
8180 (version "3.4.4")
8181 (source
8182 (origin
8183 (method url-fetch)
8184 (uri (bioconductor-uri "ggtree" version))
8185 (sha256
8186 (base32
8187 "0h1qlhn4rj7jgd9vrja7lykaglyfvnzwkghvsqj1mvp4niwli7y5"))))
8188 (properties `((upstream-name . "ggtree")))
8189 (build-system r-build-system)
8190 (propagated-inputs
8191 (list r-ape
8192 r-aplot
8193 r-dplyr
8194 r-ggfun
8195 r-ggplot2
8196 r-magrittr
8197 r-purrr
8198 r-rlang
8199 r-scales
8200 r-tidyr
8201 r-tidytree
8202 r-treeio
8203 r-yulab-utils))
8204 (native-inputs (list r-knitr))
8205 (home-page "https://yulab-smu.top/treedata-book/")
8206 (synopsis "R package for visualization of trees and annotation data")
8207 (description
8208 "This package extends the ggplot2 plotting system which implements a
8209 grammar of graphics. ggtree is designed for visualization and annotation of
8210 phylogenetic trees and other tree-like structures with their annotation
8211 data.")
8212 (license license:artistic2.0)))
8213
8214 (define-public r-metapod
8215 (package
8216 (name "r-metapod")
8217 (version "1.4.0")
8218 (source
8219 (origin
8220 (method url-fetch)
8221 (uri (bioconductor-uri "metapod" version))
8222 (sha256
8223 (base32
8224 "19g9c08alg4qqr710si465wlb5dy759m5d8wn91zwj24077dds7b"))))
8225 (properties `((upstream-name . "metapod")))
8226 (build-system r-build-system)
8227 (propagated-inputs
8228 (list r-rcpp))
8229 (native-inputs
8230 (list r-knitr))
8231 (home-page "https://bioconductor.org/packages/metapod")
8232 (synopsis "Meta-analyses on p-values of differential analyses")
8233 (description
8234 "This package implements a variety of methods for combining p-values in
8235 differential analyses of genome-scale datasets. Functions can combine
8236 p-values across different tests in the same analysis (e.g., genomic windows in
8237 ChIP-seq, exons in RNA-seq) or for corresponding tests across separate
8238 analyses (e.g., replicated comparisons, effect of different treatment
8239 conditions). Support is provided for handling log-transformed input p-values,
8240 missing values and weighting where appropriate.")
8241 (license license:gpl3)))
8242
8243 (define-public r-biocsingular
8244 (package
8245 (name "r-biocsingular")
8246 (version "1.12.0")
8247 (source
8248 (origin
8249 (method url-fetch)
8250 (uri (bioconductor-uri "BiocSingular" version))
8251 (sha256
8252 (base32
8253 "1sraycnn0jahpi8kni1y8ik00ga89fvwqjmbr8388968q22mvm3x"))))
8254 (properties `((upstream-name . "BiocSingular")))
8255 (build-system r-build-system)
8256 (propagated-inputs
8257 (list r-beachmat
8258 r-biocgenerics
8259 r-biocparallel
8260 r-delayedarray
8261 r-irlba
8262 r-matrix
8263 r-rcpp
8264 r-rsvd
8265 r-s4vectors
8266 r-scaledmatrix))
8267 (native-inputs
8268 (list r-knitr))
8269 (home-page "https://github.com/LTLA/BiocSingular")
8270 (synopsis "Singular value decomposition for Bioconductor packages")
8271 (description
8272 "This package implements exact and approximate methods for singular value
8273 decomposition and principal components analysis, in a framework that allows
8274 them to be easily switched within Bioconductor packages or workflows. Where
8275 possible, parallelization is achieved using the BiocParallel framework.")
8276 (license license:gpl3)))
8277
8278 (define-public r-destiny
8279 (package
8280 (name "r-destiny")
8281 (version "3.10.0")
8282 (source
8283 (origin
8284 (method url-fetch)
8285 (uri (bioconductor-uri "destiny" version))
8286 (sha256
8287 (base32
8288 "1c85ky5ggdsi0ab1l4ipl85gc1kj1zv3wp08qrvslax3z0yw0ljy"))))
8289 (build-system r-build-system)
8290 (propagated-inputs
8291 (list r-biobase
8292 r-biocgenerics
8293 r-ggplot-multistats
8294 r-ggplot2
8295 r-ggthemes
8296 r-irlba
8297 r-knn-covertree
8298 r-matrix
8299 r-pcamethods
8300 r-proxy
8301 r-rcpp
8302 r-rcppeigen
8303 r-rcpphnsw
8304 r-rspectra
8305 r-scales
8306 r-scatterplot3d
8307 r-singlecellexperiment
8308 r-smoother
8309 r-summarizedexperiment
8310 r-tidyr
8311 r-tidyselect
8312 r-vim))
8313 (native-inputs
8314 (list r-knitr r-nbconvertr)) ; for vignettes
8315 (home-page "https://bioconductor.org/packages/destiny/")
8316 (synopsis "Create and plot diffusion maps")
8317 (description "This package provides tools to create and plot diffusion
8318 maps.")
8319 ;; Any version of the GPL
8320 (license license:gpl3+)))
8321
8322 (define-public r-savr
8323 (package
8324 (name "r-savr")
8325 (version "1.34.0")
8326 (source
8327 (origin
8328 (method url-fetch)
8329 (uri (bioconductor-uri "savR" version))
8330 (sha256
8331 (base32
8332 "04zlf3lyr6vnpj80m6fd2is2f7302sxwih8nzzjnc4ss972jid2k"))))
8333 (properties `((upstream-name . "savR")))
8334 (build-system r-build-system)
8335 (propagated-inputs
8336 (list r-ggplot2 r-gridextra r-reshape2 r-scales r-xml))
8337 (home-page "https://github.com/bcalder/savR")
8338 (synopsis "Parse and analyze Illumina SAV files")
8339 (description
8340 "This package provides tools to parse Illumina Sequence Analysis
8341 Viewer (SAV) files, access data, and generate QC plots.")
8342 (license license:agpl3+)))
8343
8344 (define-public r-chipexoqual
8345 (package
8346 (name "r-chipexoqual")
8347 (version "1.20.0")
8348 (source
8349 (origin
8350 (method url-fetch)
8351 (uri (bioconductor-uri "ChIPexoQual" version))
8352 (sha256
8353 (base32
8354 "1r4s8awvwwj1g33jpnzfxji23mfy0chkhi14i0ml5sh090xijpaz"))))
8355 (properties `((upstream-name . "ChIPexoQual")))
8356 (build-system r-build-system)
8357 (propagated-inputs
8358 (list r-biocparallel
8359 r-biovizbase
8360 r-broom
8361 r-data-table
8362 r-dplyr
8363 r-genomeinfodb
8364 r-genomicalignments
8365 r-genomicranges
8366 r-ggplot2
8367 r-hexbin
8368 r-iranges
8369 r-rcolorbrewer
8370 r-rmarkdown
8371 r-rsamtools
8372 r-s4vectors
8373 r-scales
8374 r-viridis))
8375 (native-inputs
8376 (list r-knitr))
8377 (home-page "https://github.com/keleslab/ChIPexoQual")
8378 (synopsis "Quality control pipeline for ChIP-exo/nexus data")
8379 (description
8380 "This package provides a quality control pipeline for ChIP-exo/nexus
8381 sequencing data.")
8382 (license license:gpl2+)))
8383
8384 (define-public r-copynumber
8385 (package
8386 (name "r-copynumber")
8387 (version "1.36.0")
8388 (source (origin
8389 (method url-fetch)
8390 (uri (bioconductor-uri "copynumber" version))
8391 (sha256
8392 (base32
8393 "1gr8q9ri49x8qlmbsi6k6wcak1w9v48wr1qy7axc86brzx6z6mhd"))))
8394 (build-system r-build-system)
8395 (propagated-inputs
8396 (list r-s4vectors r-iranges r-genomicranges r-biocgenerics))
8397 (home-page "https://bioconductor.org/packages/copynumber")
8398 (synopsis "Segmentation of single- and multi-track copy number data")
8399 (description
8400 "This package segments single- and multi-track copy number data by a
8401 penalized least squares regression method.")
8402 (license license:artistic2.0)))
8403
8404 (define-public r-dnacopy
8405 (package
8406 (name "r-dnacopy")
8407 (version "1.70.0")
8408 (source
8409 (origin
8410 (method url-fetch)
8411 (uri (bioconductor-uri "DNAcopy" version))
8412 (sha256
8413 (base32
8414 "10bh4p8nbl84rfngsm3bi9w542m159kff95f8c2hvjcxv5yw7iwc"))))
8415 (properties `((upstream-name . "DNAcopy")))
8416 (build-system r-build-system)
8417 (native-inputs (list gfortran))
8418 (home-page "https://bioconductor.org/packages/DNAcopy")
8419 (synopsis "DNA copy number data analysis")
8420 (description
8421 "This package implements the @dfn{circular binary segmentation} (CBS)
8422 algorithm to segment DNA copy number data and identify genomic regions with
8423 abnormal copy number.")
8424 (license license:gpl2+)))
8425
8426 ;; This is a CRAN package, but it uncharacteristically depends on a
8427 ;; Bioconductor package.
8428 (define-public r-htscluster
8429 (package
8430 (name "r-htscluster")
8431 (version "2.0.10")
8432 (source
8433 (origin
8434 (method url-fetch)
8435 (uri (cran-uri "HTSCluster" version))
8436 (sha256
8437 (base32
8438 "0scn4fsfmlkzxibfhsh6krm2cl9c8hsmyjgn48k9dyjf0ylyxg9n"))))
8439 (properties `((upstream-name . "HTSCluster")))
8440 (build-system r-build-system)
8441 (propagated-inputs
8442 (list r-capushe r-edger r-plotrix))
8443 (home-page "https://cran.r-project.org/web/packages/HTSCluster")
8444 (synopsis "Clustering high-throughput transcriptome sequencing (HTS) data")
8445 (description
8446 "This package provides a Poisson mixture model is implemented to cluster
8447 genes from high-throughput transcriptome sequencing (RNA-seq) data. Parameter
8448 estimation is performed using either the EM or CEM algorithm, and the slope
8449 heuristics are used for model selection (i.e., to choose the number of
8450 clusters).")
8451 (license license:gpl3+)))
8452
8453 (define-public r-deds
8454 (package
8455 (name "r-deds")
8456 (version "1.60.0")
8457 (source
8458 (origin
8459 (method url-fetch)
8460 (uri (bioconductor-uri "DEDS" version))
8461 (sha256
8462 (base32
8463 "0vzsmah2lhxf8k6n4d0i4j609sbvygmb6ii2ridg9z3nskwkrhp8"))))
8464 (properties `((upstream-name . "DEDS")))
8465 (build-system r-build-system)
8466 (home-page "https://bioconductor.org/packages/DEDS/")
8467 (synopsis "Differential expression via distance summary for microarray data")
8468 (description
8469 "This library contains functions that calculate various statistics of
8470 differential expression for microarray data, including t statistics, fold
8471 change, F statistics, SAM, moderated t and F statistics and B statistics. It
8472 also implements a new methodology called DEDS (Differential Expression via
8473 Distance Summary), which selects differentially expressed genes by integrating
8474 and summarizing a set of statistics using a weighted distance approach.")
8475 ;; Any version of the LGPL.
8476 (license license:lgpl3+)))
8477
8478 ;; This is a CRAN package, but since it depends on a Bioconductor package we
8479 ;; put it here.
8480 (define-public r-nbpseq
8481 (package
8482 (name "r-nbpseq")
8483 (version "0.3.1")
8484 (source
8485 (origin
8486 (method url-fetch)
8487 (uri (cran-uri "NBPSeq" version))
8488 (sha256
8489 (base32
8490 "07mnnk4n0cyksp1mw36y6369is62kxsfg3wb8d3dwswycdmj8m14"))))
8491 (properties `((upstream-name . "NBPSeq")))
8492 (build-system r-build-system)
8493 (propagated-inputs
8494 (list r-qvalue))
8495 (home-page "https://cran.r-project.org/web/packages/NBPSeq")
8496 (synopsis "Negative binomial models for RNA-Seq data")
8497 (description
8498 "This package provides negative binomial models for two-group comparisons
8499 and regression inferences from RNA-sequencing data.")
8500 (license license:gpl2)))
8501
8502 (define-public r-ebseq
8503 (package
8504 (name "r-ebseq")
8505 (version "1.36.0")
8506 (source
8507 (origin
8508 (method url-fetch)
8509 (uri (bioconductor-uri "EBSeq" version))
8510 (sha256
8511 (base32
8512 "192xl9fwsh04w563yk33mfl303d1kqby2ssbqkckqsdr4jb7d57y"))))
8513 (properties `((upstream-name . "EBSeq")))
8514 (build-system r-build-system)
8515 (propagated-inputs
8516 (list r-blockmodeling r-gplots r-testthat))
8517 (home-page "https://bioconductor.org/packages/EBSeq")
8518 (synopsis "Differential expression analysis of RNA-seq data")
8519 (description
8520 "This package provides tools for differential expression analysis at both
8521 gene and isoform level using RNA-seq data")
8522 (license license:artistic2.0)))
8523
8524 (define-public r-karyoploter
8525 (package
8526 (name "r-karyoploter")
8527 (version "1.22.0")
8528 (source (origin
8529 (method url-fetch)
8530 (uri (bioconductor-uri "karyoploteR" version))
8531 (sha256
8532 (base32
8533 "0hawq9wi3ikvlcdgnjfy5fiiwfq22zwx1p8xf5h4bpypp96pknsk"))))
8534 (build-system r-build-system)
8535 (propagated-inputs
8536 (list r-annotationdbi
8537 r-bamsignals
8538 r-bezier
8539 r-biovizbase
8540 r-digest
8541 r-genomeinfodb
8542 r-genomicfeatures
8543 r-genomicranges
8544 r-iranges
8545 r-memoise
8546 r-regioner
8547 r-rsamtools
8548 r-rtracklayer
8549 r-s4vectors
8550 r-variantannotation))
8551 (native-inputs
8552 (list r-knitr))
8553 (home-page "https://bioconductor.org/packages/karyoploteR/")
8554 (synopsis "Plot customizable linear genomes displaying arbitrary data")
8555 (description "This package creates karyotype plots of arbitrary genomes and
8556 offers a complete set of functions to plot arbitrary data on them. It mimics
8557 many R base graphics functions coupling them with a coordinate change function
8558 automatically mapping the chromosome and data coordinates into the plot
8559 coordinates.")
8560 (license license:artistic2.0)))
8561
8562 (define-public r-lpsymphony
8563 (package
8564 (name "r-lpsymphony")
8565 (version "1.24.0")
8566 (source
8567 (origin
8568 (method url-fetch)
8569 (uri (bioconductor-uri "lpsymphony" version))
8570 (sha256
8571 (base32
8572 "0kc708ss5byzw8qh439mb4nq6hsfmz73gfamiznw3lv352brd33g"))))
8573 (build-system r-build-system)
8574 (arguments
8575 (list
8576 #:phases
8577 '(modify-phases %standard-phases
8578 (add-after 'unpack 'make-build-order-reproducible
8579 (lambda _
8580 (substitute* '("src/SYMPHONY/Cgl/configure.ac"
8581 "src/SYMPHONY/Cgl/configure")
8582 (("for file in `ls \\*/Makefile.in`")
8583 "for file in `ls */Makefile.in | sort`")))))))
8584 (inputs
8585 (list zlib))
8586 (native-inputs
8587 (list pkg-config r-knitr))
8588 (home-page "https://r-forge.r-project.org/projects/rsymphony")
8589 (synopsis "Symphony integer linear programming solver in R")
8590 (description
8591 "This package was derived from Rsymphony. The package provides an R
8592 interface to SYMPHONY, a linear programming solver written in C++. The main
8593 difference between this package and Rsymphony is that it includes the solver
8594 source code, while Rsymphony expects to find header and library files on the
8595 users' system. Thus the intention of @code{lpsymphony} is to provide an easy
8596 to install interface to SYMPHONY.")
8597 ;; Symphony 5.4 or later is distributed under the terms of the EPL 1.0.
8598 ;; lpsimphony is released under the same terms.
8599 (license license:epl1.0)))
8600
8601 (define-public r-ihw
8602 (package
8603 (name "r-ihw")
8604 (version "1.24.0")
8605 (source
8606 (origin
8607 (method url-fetch)
8608 (uri (bioconductor-uri "IHW" version))
8609 (sha256
8610 (base32
8611 "1gsfy75dz7xh16z844llcmjnp0a0ridszmrbbv2bdaa43na5msmf"))))
8612 (properties `((upstream-name . "IHW")))
8613 (build-system r-build-system)
8614 (propagated-inputs
8615 (list r-biocgenerics r-fdrtool r-lpsymphony r-slam))
8616 (native-inputs
8617 (list r-knitr))
8618 (home-page "https://bioconductor.org/packages/IHW")
8619 (synopsis "Independent hypothesis weighting")
8620 (description
8621 "@dfn{Independent hypothesis weighting} (IHW) is a multiple testing
8622 procedure that increases power compared to the method of Benjamini and
8623 Hochberg by assigning data-driven weights to each hypothesis. The input to
8624 IHW is a two-column table of p-values and covariates. The covariate can be
8625 any continuous-valued or categorical variable that is thought to be
8626 informative on the statistical properties of each hypothesis test, while it is
8627 independent of the p-value under the null hypothesis.")
8628 (license license:artistic2.0)))
8629
8630 (define-public r-icobra
8631 (package
8632 (name "r-icobra")
8633 (version "1.24.1")
8634 (source
8635 (origin
8636 (method url-fetch)
8637 (uri (bioconductor-uri "iCOBRA" version))
8638 (sha256
8639 (base32
8640 "1gvra5bgsf6lvs4f2md3xx7xxsx4j8079c2nr8vz9lvy2sfyl6s9"))))
8641 (properties `((upstream-name . "iCOBRA")))
8642 (build-system r-build-system)
8643 (propagated-inputs
8644 (list r-dplyr
8645 r-dt
8646 r-ggplot2
8647 r-limma
8648 r-markdown
8649 r-reshape2
8650 r-rocr
8651 r-scales
8652 r-shiny
8653 r-shinybs
8654 r-shinydashboard
8655 r-upsetr))
8656 (native-inputs
8657 (list r-knitr))
8658 (home-page "https://bioconductor.org/packages/iCOBRA")
8659 (synopsis "Comparison and visualization of ranking and assignment methods")
8660 (description
8661 "This package provides functions for calculation and visualization of
8662 performance metrics for evaluation of ranking and binary
8663 classification (assignment) methods. It also contains a Shiny application for
8664 interactive exploration of results.")
8665 (license license:gpl2+)))
8666
8667 (define-public r-residualmatrix
8668 (package
8669 (name "r-residualmatrix")
8670 (version "1.6.1")
8671 (source
8672 (origin
8673 (method url-fetch)
8674 (uri (bioconductor-uri "ResidualMatrix" version))
8675 (sha256
8676 (base32
8677 "1530706c7b53h9m8smgnaj63rgdbm3hd09n7jwy6zc0y6qcffckd"))))
8678 (properties
8679 `((upstream-name . "ResidualMatrix")))
8680 (build-system r-build-system)
8681 (propagated-inputs
8682 (list r-delayedarray r-matrix r-s4vectors))
8683 (native-inputs
8684 (list r-knitr))
8685 (home-page "https://github.com/LTLA/ResidualMatrix")
8686 (synopsis "Create a DelayedMatrix of regression residuals")
8687 (description
8688 "This package implements tools for delayed computation of a matrix of
8689 residuals after fitting a linear model to each column of an input matrix. It
8690 also supports partial computation of residuals where selected factors are to
8691 be preserved in the output matrix. It implements a number of efficient
8692 methods for operating on the delayed matrix of residuals, most notably matrix
8693 multiplication and calculation of row/column sums or means.")
8694 (license license:gpl3)))
8695
8696 (define-public r-batchelor
8697 (package
8698 (name "r-batchelor")
8699 (version "1.12.3")
8700 (source
8701 (origin
8702 (method url-fetch)
8703 (uri (bioconductor-uri "batchelor" version))
8704 (sha256
8705 (base32
8706 "00ix3hvhgalxg63qnynv2waa273jk336lg47k72qwxfzimsxfjxc"))))
8707 (properties `((upstream-name . "batchelor")))
8708 (build-system r-build-system)
8709 (propagated-inputs
8710 (list r-beachmat
8711 r-biocgenerics
8712 r-biocneighbors
8713 r-biocparallel
8714 r-biocsingular
8715 r-delayedarray
8716 r-delayedmatrixstats
8717 r-igraph
8718 r-matrix
8719 r-rcpp
8720 r-residualmatrix
8721 r-s4vectors
8722 r-scaledmatrix
8723 r-scuttle
8724 r-singlecellexperiment
8725 r-summarizedexperiment))
8726 (native-inputs (list r-knitr))
8727 (home-page "https://bioconductor.org/packages/batchelor")
8728 (synopsis "Single-Cell Batch Correction Methods")
8729 (description
8730 "This package implements a variety of methods for batch correction of
8731 single-cell (RNA sequencing) data. This includes methods based on detecting
8732 mutually nearest neighbors, as well as several efficient variants of linear
8733 regression of the log-expression values. Functions are also provided to
8734 perform global rescaling to remove differences in depth between batches, and
8735 to perform a principal components analysis that is robust to differences in
8736 the numbers of cells across batches.")
8737 (license license:gpl3)))
8738
8739 (define-public r-mast
8740 (package
8741 (name "r-mast")
8742 (version "1.22.0")
8743 (source
8744 (origin
8745 (method url-fetch)
8746 (uri (bioconductor-uri "MAST" version))
8747 (sha256
8748 (base32
8749 "1kmrqxcfzzcs8l33n9qn0vahc6wxq6ks3cjx95vg96maf2qzhzzi"))))
8750 (properties `((upstream-name . "MAST")))
8751 (build-system r-build-system)
8752 (propagated-inputs
8753 (list r-abind
8754 r-biobase
8755 r-biocgenerics
8756 r-data-table
8757 r-ggplot2
8758 r-plyr
8759 r-progress
8760 r-reshape2
8761 r-s4vectors
8762 r-singlecellexperiment
8763 r-stringr
8764 r-summarizedexperiment))
8765 (native-inputs
8766 (list r-knitr))
8767 (home-page "https://github.com/RGLab/MAST/")
8768 (synopsis "Model-based analysis of single cell transcriptomics")
8769 (description
8770 "This package provides methods and models for handling zero-inflated
8771 single cell assay data.")
8772 (license license:gpl2+)))
8773
8774 (define-public r-monocle
8775 (package
8776 (name "r-monocle")
8777 (version "2.24.1")
8778 (source
8779 (origin
8780 (method url-fetch)
8781 (uri (bioconductor-uri "monocle" version))
8782 (sha256
8783 (base32
8784 "11g1wx0f1yzhg3x1aa3d5l7pqlzxj16s0gha21skxkgld8k2x8xn"))))
8785 (build-system r-build-system)
8786 (propagated-inputs
8787 (list r-biobase
8788 r-biocgenerics
8789 r-biocviews
8790 r-cluster
8791 r-combinat
8792 r-ddrtree
8793 r-dplyr
8794 r-fastica
8795 r-ggplot2
8796 r-hsmmsinglecell
8797 r-igraph
8798 r-irlba
8799 r-leidenbase
8800 r-limma
8801 r-mass
8802 r-matrix
8803 r-matrixstats
8804 r-pheatmap
8805 r-plyr
8806 r-proxy
8807 r-qlcmatrix
8808 r-rann
8809 r-rcpp
8810 r-reshape2
8811 r-rtsne
8812 r-slam
8813 r-stringr
8814 r-tibble
8815 r-vgam
8816 r-viridis))
8817 (native-inputs
8818 (list r-knitr))
8819 (home-page "https://bioconductor.org/packages/monocle")
8820 (synopsis "Clustering, differential expression, and trajectory analysis for single-cell RNA-Seq")
8821 (description
8822 "Monocle performs differential expression and time-series analysis for
8823 single-cell expression experiments. It orders individual cells according to
8824 progress through a biological process, without knowing ahead of time which
8825 genes define progress through that process. Monocle also performs
8826 differential expression analysis, clustering, visualization, and other useful
8827 tasks on single cell expression data. It is designed to work with RNA-Seq and
8828 qPCR data, but could be used with other types as well.")
8829 (license license:artistic2.0)))
8830
8831 (define-public r-leidenbase
8832 (let ((commit "a11b8455fa3307d9e3ac4e3a5accddf3c83b9a96")
8833 (revision "1"))
8834 (package
8835 (name "r-leidenbase")
8836 (version (git-version "0.1.9" revision commit))
8837 (source
8838 (origin
8839 (method git-fetch)
8840 (uri (git-reference
8841 (url "https://github.com/cole-trapnell-lab/leidenbase")
8842 (commit commit)))
8843 (file-name (git-file-name name version))
8844 (sha256
8845 (base32
8846 "1f54mycsffvzmblz5pzgs3v4jygnbvz0c9d3x710gw5mxkq2p84f"))))
8847 (properties `((upstream-name . "leidenbase")))
8848 (build-system r-build-system)
8849 (inputs
8850 (list zlib))
8851 (native-inputs
8852 (list gfortran))
8853 (propagated-inputs
8854 (list r-igraph))
8855 (home-page "https://github.com/cole-trapnell-lab/leidenbase")
8856 (synopsis "R and C wrappers to run the Leiden find_partition function")
8857 (description
8858 "This package provides an R to C interface that runs the Leiden
8859 community detection algorithm to find a basic partition. It runs the
8860 equivalent of the @code{find_partition} function. This package includes the
8861 required source code files from the official Leidenalg distribution and
8862 several functions from the R igraph package.")
8863 (license license:gpl3+))))
8864
8865 (define-public r-sanssouci
8866 ;; sansscouci doesn't have a (versioned) release yet.
8867 ;; This is the latest commit as of packaging for Guix.
8868 (let ((commit "5fe20a9aaf4ac637fa83d9cc73ff1c22de97ca6f")
8869 (revision "1"))
8870 (package
8871 (name "r-sanssouci")
8872 (version (git-version "0" revision commit))
8873 (source (origin
8874 (method git-fetch)
8875 (uri (git-reference
8876 (url "https://github.com/pneuvial/sanssouci.git")
8877 (commit commit)))
8878 (file-name (git-file-name name version))
8879 (sha256
8880 (base32
8881 "13ycdd790qw64qy2zdvcrpj3fc8as628rsly32438d3rifnlc5sk"))))
8882 (build-system r-build-system)
8883 (propagated-inputs
8884 (list r-generics r-matrix r-matrixstats r-rcpp r-rcpparmadillo))
8885 (home-page "https://pneuvial.github.io/sanssouci")
8886 (synopsis "Post Hoc multiple testing inference")
8887 (description
8888 "The goal of sansSouci is to perform post hoc inference: in a multiple
8889 testing context, sansSouci provides statistical guarantees on possibly
8890 user-defined and/or data-driven sets of hypotheses.")
8891 (license license:gpl3))))
8892
8893 (define-public r-monocle3
8894 (package
8895 (name "r-monocle3")
8896 (version "1.0.0")
8897 (source
8898 (origin
8899 (method git-fetch)
8900 (uri (git-reference
8901 (url "https://github.com/cole-trapnell-lab/monocle3")
8902 (commit version)))
8903 (file-name (git-file-name name version))
8904 (sha256
8905 (base32
8906 "16vpvlbms8fdvpfwzcig0rkg2mxnsq1h80d2l7q3953wm91qc9x4"))))
8907 (build-system r-build-system)
8908 (propagated-inputs
8909 (list r-assertthat
8910 r-batchelor
8911 r-biobase
8912 r-biocgenerics
8913 r-delayedmatrixstats
8914 r-dplyr
8915 r-ggplot2
8916 r-ggrepel
8917 r-grr
8918 r-htmlwidgets
8919 r-igraph
8920 r-irlba
8921 r-leidenbase
8922 r-limma
8923 r-lmtest
8924 r-mass
8925 r-matrix
8926 r-matrix-utils
8927 r-pbapply
8928 r-pbmcapply
8929 r-pheatmap
8930 r-plotly
8931 r-pryr
8932 r-proxy
8933 r-pscl
8934 r-purrr
8935 r-rann
8936 r-rcpp
8937 r-rcppparallel
8938 r-reshape2
8939 r-reticulate
8940 r-rhpcblasctl
8941 r-rsample
8942 r-rtsne
8943 r-shiny
8944 r-slam
8945 r-spdep
8946 r-speedglm
8947 r-stringr
8948 r-singlecellexperiment
8949 r-tibble
8950 r-tidyr
8951 r-uwot
8952 r-viridis))
8953 (home-page "https://github.com/cole-trapnell-lab/monocle3")
8954 (synopsis "Analysis toolkit for single-cell RNA-Seq data")
8955 (description
8956 "Monocle 3 is an analysis toolkit for single-cell RNA-Seq experiments.")
8957 (license license:expat)))
8958
8959 (define-public r-noiseq
8960 (package
8961 (name "r-noiseq")
8962 (version "2.40.0")
8963 (source
8964 (origin
8965 (method url-fetch)
8966 (uri (bioconductor-uri "NOISeq" version))
8967 (sha256
8968 (base32
8969 "0ah6adlhv4254jkssinn2ik8n811hd1nw85bnzqk2kwhl49nrk27"))))
8970 (properties `((upstream-name . "NOISeq")))
8971 (build-system r-build-system)
8972 (propagated-inputs
8973 (list r-biobase r-matrix))
8974 (home-page "https://bioconductor.org/packages/NOISeq")
8975 (synopsis "Exploratory analysis and differential expression for RNA-seq data")
8976 (description
8977 "This package provides tools to support the analysis of RNA-seq
8978 expression data or other similar kind of data. It provides exploratory plots
8979 to evaluate saturation, count distribution, expression per chromosome, type of
8980 detected features, features length, etc. It also supports the analysis of
8981 differential expression between two experimental conditions with no parametric
8982 assumptions.")
8983 (license license:artistic2.0)))
8984
8985 (define-public r-scdd
8986 (package
8987 (name "r-scdd")
8988 (version "1.20.0")
8989 (source
8990 (origin
8991 (method url-fetch)
8992 (uri (bioconductor-uri "scDD" version))
8993 (sha256
8994 (base32
8995 "0bjww338z5qf2g97kbh85h9kpagjr59ff9f4alm33h16xz5mb7k0"))))
8996 (properties `((upstream-name . "scDD")))
8997 (build-system r-build-system)
8998 (propagated-inputs
8999 (list r-arm
9000 r-biocparallel
9001 r-ebseq
9002 r-fields
9003 r-ggplot2
9004 r-mclust
9005 r-outliers
9006 r-s4vectors
9007 r-scran
9008 r-singlecellexperiment
9009 r-summarizedexperiment))
9010 (native-inputs
9011 (list r-knitr))
9012 (home-page "https://github.com/kdkorthauer/scDD")
9013 (synopsis "Mixture modeling of single-cell RNA-seq data")
9014 (description
9015 "This package implements a method to analyze single-cell RNA-seq data
9016 utilizing flexible Dirichlet Process mixture models. Genes with differential
9017 distributions of expression are classified into several interesting patterns
9018 of differences between two conditions. The package also includes functions
9019 for simulating data with these patterns from negative binomial
9020 distributions.")
9021 (license license:gpl2)))
9022
9023 (define-public r-scone
9024 (package
9025 (name "r-scone")
9026 (version "1.20.0")
9027 (source
9028 (origin
9029 (method url-fetch)
9030 (uri (bioconductor-uri "scone" version))
9031 (sha256
9032 (base32
9033 "05id34n6min03ha1chg5mrvx399qm2mby9kxkaz5w8fbidp97851"))))
9034 (build-system r-build-system)
9035 (propagated-inputs
9036 (list r-aroma-light
9037 r-biocparallel
9038 r-boot
9039 r-class
9040 r-cluster
9041 r-compositions
9042 r-diptest
9043 r-edger
9044 r-fpc
9045 r-gplots
9046 r-hexbin
9047 r-limma
9048 r-matrixgenerics
9049 r-matrixstats
9050 r-mixtools
9051 r-rarpack
9052 r-rcolorbrewer
9053 r-rhdf5
9054 r-ruvseq
9055 r-singlecellexperiment
9056 r-summarizedexperiment))
9057 (native-inputs
9058 (list r-knitr))
9059 (home-page "https://bioconductor.org/packages/scone")
9060 (synopsis "Single cell overview of normalized expression data")
9061 (description
9062 "SCONE is an R package for comparing and ranking the performance of
9063 different normalization schemes for single-cell RNA-seq and other
9064 high-throughput analyses.")
9065 (license license:artistic2.0)))
9066
9067 (define-public r-geoquery
9068 (package
9069 (name "r-geoquery")
9070 (version "2.64.2")
9071 (source
9072 (origin
9073 (method url-fetch)
9074 (uri (bioconductor-uri "GEOquery" version))
9075 (sha256
9076 (base32
9077 "1cvkvq2haz831qi8w0gd3ayvxfxsl0z5klhki4gkfi9xqdv1gi9x"))))
9078 (properties `((upstream-name . "GEOquery")))
9079 (build-system r-build-system)
9080 (propagated-inputs
9081 (list r-biobase
9082 r-curl
9083 r-data-table
9084 r-dplyr
9085 r-limma
9086 r-magrittr
9087 r-r-utils
9088 r-readr
9089 r-tidyr
9090 r-xml2))
9091 (native-inputs
9092 (list r-knitr))
9093 (home-page "https://github.com/seandavi/GEOquery/")
9094 (synopsis "Get data from NCBI Gene Expression Omnibus (GEO)")
9095 (description
9096 "The NCBI Gene Expression Omnibus (GEO) is a public repository of
9097 microarray data. Given the rich and varied nature of this resource, it is
9098 only natural to want to apply BioConductor tools to these data. GEOquery is
9099 the bridge between GEO and BioConductor.")
9100 (license license:gpl2)))
9101
9102 (define-public r-illuminaio
9103 (package
9104 (name "r-illuminaio")
9105 (version "0.38.0")
9106 (source
9107 (origin
9108 (method url-fetch)
9109 (uri (bioconductor-uri "illuminaio" version))
9110 (sha256
9111 (base32
9112 "1xk057a9w4ps8xi8jyw8imkjcicfmzns8g92grn4af7yiip68h62"))))
9113 (build-system r-build-system)
9114 (propagated-inputs
9115 (list r-base64))
9116 (home-page "https://github.com/HenrikBengtsson/illuminaio/")
9117 (synopsis "Parse Illumina microarray output files")
9118 (description
9119 "This package provides tools for parsing Illumina's microarray output
9120 files, including IDAT.")
9121 (license license:gpl2)))
9122
9123 (define-public r-siggenes
9124 (package
9125 (name "r-siggenes")
9126 (version "1.70.0")
9127 (source
9128 (origin
9129 (method url-fetch)
9130 (uri (bioconductor-uri "siggenes" version))
9131 (sha256
9132 (base32
9133 "0amjqm2c8p1vjzx109p7n81wbsbx8rljwn6mbkl7dpi834im9d7l"))))
9134 (build-system r-build-system)
9135 (propagated-inputs
9136 (list r-biobase r-multtest r-scrime))
9137 (home-page "https://bioconductor.org/packages/siggenes/")
9138 (synopsis
9139 "Multiple testing using SAM and Efron's empirical Bayes approaches")
9140 (description
9141 "This package provides tools for the identification of differentially
9142 expressed genes and estimation of the @dfn{False Discovery Rate} (FDR) using
9143 both the Significance Analysis of Microarrays (SAM) and the @dfn{Empirical
9144 Bayes Analyses of Microarrays} (EBAM).")
9145 (license license:lgpl2.0+)))
9146
9147 (define-public r-bumphunter
9148 (package
9149 (name "r-bumphunter")
9150 (version "1.38.0")
9151 (source
9152 (origin
9153 (method url-fetch)
9154 (uri (bioconductor-uri "bumphunter" version))
9155 (sha256
9156 (base32
9157 "0k92ps9chqsimbc7vsr8swg679zfv8nfn5zahbqq4nknhhy7hwxw"))))
9158 (build-system r-build-system)
9159 (propagated-inputs
9160 (list r-annotationdbi
9161 r-biocgenerics
9162 r-dorng
9163 r-foreach
9164 r-genomeinfodb
9165 r-genomicfeatures
9166 r-genomicranges
9167 r-iranges
9168 r-iterators
9169 r-limma
9170 r-locfit
9171 r-matrixstats
9172 r-s4vectors))
9173 (home-page "https://github.com/ririzarr/bumphunter")
9174 (synopsis "Find bumps in genomic data")
9175 (description
9176 "This package provides tools for finding bumps in genomic data in order
9177 to identify differentially methylated regions in epigenetic epidemiology
9178 studies.")
9179 (license license:artistic2.0)))
9180
9181 (define-public r-milor
9182 (package
9183 (name "r-milor")
9184 (version "1.4.0")
9185 (source (origin
9186 (method url-fetch)
9187 (uri (bioconductor-uri "miloR" version))
9188 (sha256
9189 (base32
9190 "1jz9p3grnczx0bpdw6j64x21in8zgm3qy19hmm296har2rx9m5zs"))))
9191 (properties `((upstream-name . "miloR")))
9192 (build-system r-build-system)
9193 (propagated-inputs
9194 (list r-biocgenerics
9195 r-biocneighbors
9196 r-biocparallel
9197 r-biocsingular
9198 r-cowplot
9199 r-dplyr
9200 r-edger
9201 r-ggbeeswarm
9202 r-ggplot2
9203 r-ggraph
9204 r-ggrepel
9205 r-gtools
9206 r-igraph
9207 r-irlba
9208 r-limma
9209 r-matrix
9210 r-matrixstats
9211 r-patchwork
9212 r-rcolorbrewer
9213 r-s4vectors
9214 r-singlecellexperiment
9215 r-stringr
9216 r-summarizedexperiment
9217 r-tibble
9218 r-tidyr))
9219 (native-inputs (list r-knitr))
9220 (home-page "https://marionilab.github.io/miloR")
9221 (synopsis "Differential neighbourhood abundance testing on a graph")
9222 (description
9223 "Milo performs single-cell differential abundance testing. Cell states
9224 are modelled as representative neighbourhoods on a nearest neighbour graph.
9225 Hypothesis testing is performed using a negative bionomial generalized linear
9226 model.")
9227 (license license:gpl3)))
9228
9229 (define-public r-minfi
9230 (package
9231 (name "r-minfi")
9232 (version "1.42.0")
9233 (source
9234 (origin
9235 (method url-fetch)
9236 (uri (bioconductor-uri "minfi" version))
9237 (sha256
9238 (base32
9239 "0255z7w5i5k01w8wn7jkb37h3q7m7vg0szqgk76h330yydnmkrq6"))))
9240 (build-system r-build-system)
9241 (propagated-inputs
9242 (list r-beanplot
9243 r-biobase
9244 r-biocgenerics
9245 r-biocparallel
9246 r-biostrings
9247 r-bumphunter
9248 r-data-table
9249 r-delayedarray
9250 r-delayedmatrixstats
9251 r-genefilter
9252 r-genomeinfodb
9253 r-genomicranges
9254 r-geoquery
9255 r-hdf5array
9256 r-illuminaio
9257 r-iranges
9258 r-lattice
9259 r-limma
9260 r-mass
9261 r-mclust
9262 r-nlme
9263 r-nor1mix
9264 r-preprocesscore
9265 r-quadprog
9266 r-rcolorbrewer
9267 r-reshape
9268 r-s4vectors
9269 r-siggenes
9270 r-summarizedexperiment))
9271 (native-inputs
9272 (list r-knitr))
9273 (home-page "https://github.com/hansenlab/minfi")
9274 (synopsis "Analyze Illumina Infinium DNA methylation arrays")
9275 (description
9276 "This package provides tools to analyze and visualize Illumina Infinium
9277 methylation arrays.")
9278 (license license:artistic2.0)))
9279
9280 (define-public r-methylumi
9281 (package
9282 (name "r-methylumi")
9283 (version "2.42.0")
9284 (source
9285 (origin
9286 (method url-fetch)
9287 (uri (bioconductor-uri "methylumi" version))
9288 (sha256
9289 (base32
9290 "0klkinq55lfj1d4z8gkrv98849079x1l5gd15habw7jq9xxvhjww"))))
9291 (build-system r-build-system)
9292 (propagated-inputs
9293 (list r-annotate
9294 r-annotationdbi
9295 r-biobase
9296 r-biocgenerics
9297 r-fdb-infiniummethylation-hg19
9298 r-genefilter
9299 r-genomeinfodb
9300 r-genomicfeatures
9301 r-genomicranges
9302 r-ggplot2
9303 r-illuminaio
9304 r-iranges
9305 r-lattice
9306 r-matrixstats
9307 r-minfi
9308 r-reshape2
9309 r-s4vectors
9310 r-scales
9311 r-summarizedexperiment))
9312 (native-inputs
9313 (list r-knitr))
9314 (home-page "https://bioconductor.org/packages/methylumi")
9315 (synopsis "Handle Illumina methylation data")
9316 (description
9317 "This package provides classes for holding and manipulating Illumina
9318 methylation data. Based on eSet, it can contain MIAME information, sample
9319 information, feature information, and multiple matrices of data. An
9320 \"intelligent\" import function, methylumiR can read the Illumina text files
9321 and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from
9322 HumanMethylation27 and HumanMethylation450 microarrays. Normalization,
9323 background correction, and quality control features for GoldenGate, Infinium,
9324 and Infinium HD arrays are also included.")
9325 (license license:gpl2)))
9326
9327 (define-public r-lumi
9328 (package
9329 (name "r-lumi")
9330 (version "2.48.0")
9331 (source
9332 (origin
9333 (method url-fetch)
9334 (uri (bioconductor-uri "lumi" version))
9335 (sha256
9336 (base32
9337 "06zmll5j1yymsm3byarhllrz4q1w5mzv267a9g6visn73wan8y9d"))))
9338 (build-system r-build-system)
9339 (propagated-inputs
9340 (list r-affy
9341 r-annotate
9342 r-annotationdbi
9343 r-biobase
9344 r-dbi
9345 r-genomicfeatures
9346 r-genomicranges
9347 r-kernsmooth
9348 r-lattice
9349 r-mass
9350 r-methylumi
9351 r-mgcv
9352 r-nleqslv
9353 r-preprocesscore
9354 r-rsqlite))
9355 (home-page "https://bioconductor.org/packages/lumi")
9356 (synopsis "BeadArray-specific methods for Illumina methylation and expression microarrays")
9357 (description
9358 "The lumi package provides an integrated solution for the Illumina
9359 microarray data analysis. It includes functions of Illumina
9360 BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific
9361 variance stabilization, normalization and gene annotation at the probe level.
9362 It also includes the functions of processing Illumina methylation microarrays,
9363 especially Illumina Infinium methylation microarrays.")
9364 (license license:lgpl2.0+)))
9365
9366 (define-public r-linnorm
9367 (package
9368 (name "r-linnorm")
9369 (version "2.20.0")
9370 (source
9371 (origin
9372 (method url-fetch)
9373 (uri (bioconductor-uri "Linnorm" version))
9374 (sha256
9375 (base32
9376 "1002lllgns5klv3q2wsikkbypa2bafpka7a8mri0y5bfxncfr2zb"))))
9377 (properties `((upstream-name . "Linnorm")))
9378 (build-system r-build-system)
9379 (propagated-inputs
9380 (list r-amap
9381 r-apcluster
9382 r-ellipse
9383 r-fastcluster
9384 r-fpc
9385 r-ggdendro
9386 r-ggplot2
9387 r-gmodels
9388 r-igraph
9389 r-limma
9390 r-mass
9391 r-mclust
9392 r-rcpp
9393 r-rcpparmadillo
9394 r-rtsne
9395 r-statmod
9396 r-vegan
9397 r-zoo))
9398 (native-inputs
9399 (list r-knitr))
9400 (home-page "http://www.jjwanglab.org/Linnorm/")
9401 (synopsis "Linear model and normality based transformation method")
9402 (description
9403 "Linnorm is an R package for the analysis of RNA-seq, scRNA-seq, ChIP-seq
9404 count data or any large scale count data. It transforms such datasets for
9405 parametric tests. In addition to the transformtion function (@code{Linnorm}),
9406 the following pipelines are implemented:
9407
9408 @enumerate
9409 @item Library size/batch effect normalization (@code{Linnorm.Norm})
9410 @item Cell subpopluation analysis and visualization using t-SNE or PCA K-means
9411 clustering or hierarchical clustering (@code{Linnorm.tSNE},
9412 @code{Linnorm.PCA}, @code{Linnorm.HClust})
9413 @item Differential expression analysis or differential peak detection using
9414 limma (@code{Linnorm.limma})
9415 @item Highly variable gene discovery and visualization (@code{Linnorm.HVar})
9416 @item Gene correlation network analysis and visualization (@code{Linnorm.Cor})
9417 @item Stable gene selection for scRNA-seq data; for users without or who do
9418 not want to rely on spike-in genes (@code{Linnorm.SGenes})
9419 @item Data imputation (@code{Linnorm.DataImput}).
9420 @end enumerate
9421
9422 Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. Additionally, the
9423 @code{RnaXSim} function is included for simulating RNA-seq data for the
9424 evaluation of DEG analysis methods.")
9425 (license license:expat)))
9426
9427 (define-public r-ioniser
9428 (package
9429 (name "r-ioniser")
9430 (version "2.20.0")
9431 (source
9432 (origin
9433 (method url-fetch)
9434 (uri (bioconductor-uri "IONiseR" version))
9435 (sha256
9436 (base32
9437 "0cgx1dcfh617l9vr4r3ky8w7f0snl0vpavfd9n1h5n68p0p42dwi"))))
9438 (properties `((upstream-name . "IONiseR")))
9439 (build-system r-build-system)
9440 (propagated-inputs
9441 (list r-biocgenerics
9442 r-biocparallel
9443 r-biostrings
9444 r-bit64
9445 r-dplyr
9446 r-ggplot2
9447 r-magrittr
9448 r-rhdf5
9449 r-shortread
9450 r-stringr
9451 r-tibble
9452 r-tidyr
9453 r-xvector))
9454 (native-inputs
9455 (list r-knitr))
9456 (home-page "https://bioconductor.org/packages/IONiseR/")
9457 (synopsis "Quality assessment tools for Oxford Nanopore MinION data")
9458 (description
9459 "IONiseR provides tools for the quality assessment of Oxford Nanopore
9460 MinION data. It extracts summary statistics from a set of fast5 files and can
9461 be used either before or after base calling. In addition to standard
9462 summaries of the read-types produced, it provides a number of plots for
9463 visualising metrics relative to experiment run time or spatially over the
9464 surface of a flowcell.")
9465 (license license:expat)))
9466
9467 ;; This is a CRAN package, but it depends on multtest from Bioconductor.
9468 (define-public r-mutoss
9469 (package
9470 (name "r-mutoss")
9471 (version "0.1-12")
9472 (source
9473 (origin
9474 (method url-fetch)
9475 (uri (cran-uri "mutoss" version))
9476 (sha256
9477 (base32
9478 "1yk7p7pb2xm38d3j19ysgwmix48lvimbhkhjjwk5jmr1a0ysx298"))))
9479 (properties `((upstream-name . "mutoss")))
9480 (build-system r-build-system)
9481 (propagated-inputs
9482 (list r-multcomp r-multtest r-mvtnorm r-plotrix))
9483 (home-page "https://github.com/kornl/mutoss/")
9484 (synopsis "Unified multiple testing procedures")
9485 (description
9486 "This package is designed to ease the application and comparison of
9487 multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods
9488 are standardized and usable by the accompanying mutossGUI package.")
9489 ;; Any version of the GPL.
9490 (license (list license:gpl2+ license:gpl3+))))
9491
9492 ;; This is a CRAN package, but it depends on mutoss, which depends on multtest
9493 ;; from Bioconductor, so we put it here.
9494 (define-public r-metap
9495 (package
9496 (name "r-metap")
9497 (version "1.8")
9498 (source
9499 (origin
9500 (method url-fetch)
9501 (uri (cran-uri "metap" version))
9502 (sha256
9503 (base32
9504 "0asmypxfxly4xmcjf3yzid5zqlzg88z0brij2splfk4avsl035gf"))))
9505 (build-system r-build-system)
9506 (propagated-inputs
9507 (list r-lattice
9508 r-mathjaxr
9509 r-mutoss
9510 r-qqconf
9511 r-rdpack
9512 r-tfisher))
9513 (home-page "http://www.dewey.myzen.co.uk/meta/meta.html")
9514 (synopsis "Meta-analysis of significance values")
9515 (description
9516 "The canonical way to perform meta-analysis involves using effect sizes.
9517 When they are not available this package provides a number of methods for
9518 meta-analysis of significance values including the methods of Edgington,
9519 Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate
9520 published results; and a routine for graphical display.")
9521 (license license:gpl2)))
9522
9523 (define-public r-tradeseq
9524 (package
9525 (name "r-tradeseq")
9526 (version "1.10.0")
9527 (source (origin
9528 (method url-fetch)
9529 (uri (bioconductor-uri "tradeSeq" version))
9530 (sha256
9531 (base32
9532 "0v9nqxrwa69qhmyaicn2vvs8haha4kzs93iqim306331vadp9qm0"))))
9533 (build-system r-build-system)
9534 (propagated-inputs
9535 (list r-biobase
9536 r-biocparallel
9537 r-edger
9538 r-ggplot2
9539 r-igraph
9540 r-magrittr
9541 r-mass
9542 r-matrix
9543 r-matrixstats
9544 r-mgcv
9545 r-pbapply
9546 r-princurve
9547 r-rcolorbrewer
9548 r-s4vectors
9549 r-singlecellexperiment
9550 r-slingshot
9551 r-summarizedexperiment
9552 r-tibble
9553 r-trajectoryutils
9554 r-viridis))
9555 (native-inputs
9556 (list r-knitr))
9557 (home-page "https://statomics.github.io/tradeSeq/index.html")
9558 (synopsis "Trajectory-based differential expression analysis")
9559 (description
9560 "This package provides a flexible method for fitting regression models that
9561 can be used to find genes that are differentially expressed along one or
9562 multiple lineages in a trajectory. Based on the fitted models, it uses a
9563 variety of tests suited to answer different questions of interest, e.g. the
9564 discovery of genes for which expression is associated with pseudotime, or which
9565 are differentially expressed (in a specific region) along the trajectory. It
9566 fits a negative binomial generalized additive model (GAM) for each gene, and
9567 performs inference on the parameters of the GAM.")
9568 (license license:expat)))
9569
9570 (define-public r-triform
9571 (package
9572 (name "r-triform")
9573 (version "1.29.0")
9574 (source
9575 (origin
9576 (method url-fetch)
9577 (uri (bioconductor-uri "triform" version))
9578 (sha256
9579 (base32
9580 "089b7f6dwpi9abj0ncswbi4s30k45996zb99sh43avw6jcb6qj60"))))
9581 (build-system r-build-system)
9582 (propagated-inputs
9583 (list r-biocgenerics r-iranges r-yaml))
9584 (home-page "https://bioconductor.org/packages/triform/")
9585 (synopsis "Find enriched regions in transcription factor ChIP-sequencing data")
9586 (description
9587 "The Triform algorithm uses model-free statistics to identify peak-like
9588 distributions of TF ChIP sequencing reads, taking advantage of an improved
9589 peak definition in combination with known profile characteristics.")
9590 (license license:gpl2)))
9591
9592 (define-public r-varianttools
9593 (package
9594 (name "r-varianttools")
9595 (version "1.38.0")
9596 (source
9597 (origin
9598 (method url-fetch)
9599 (uri (bioconductor-uri "VariantTools" version))
9600 (sha256
9601 (base32
9602 "18nxcamfgnw4n2ab0czxglw0sqc9wzdqzpjv43lcyyal23lzzsix"))))
9603 (properties `((upstream-name . "VariantTools")))
9604 (build-system r-build-system)
9605 (propagated-inputs
9606 (list r-biobase
9607 r-biocgenerics
9608 r-biocparallel
9609 r-biostrings
9610 r-bsgenome
9611 r-genomeinfodb
9612 r-genomicfeatures
9613 r-genomicranges
9614 r-iranges
9615 r-matrix
9616 r-rsamtools
9617 r-rtracklayer
9618 r-s4vectors
9619 r-variantannotation))
9620 (home-page "https://bioconductor.org/packages/VariantTools/")
9621 (synopsis "Tools for exploratory analysis of variant calls")
9622 (description
9623 "Explore, diagnose, and compare variant calls using filters. The
9624 VariantTools package supports a workflow for loading data, calling single
9625 sample variants and tumor-specific somatic mutations or other sample-specific
9626 variant types (e.g., RNA editing). Most of the functions operate on
9627 alignments (BAM files) or datasets of called variants. The user is expected
9628 to have already aligned the reads with a separate tool, e.g., GSNAP via
9629 gmapR.")
9630 (license license:artistic2.0)))
9631
9632 (define-public r-heatplus
9633 (package
9634 (name "r-heatplus")
9635 (version "3.4.0")
9636 (source
9637 (origin
9638 (method url-fetch)
9639 (uri (bioconductor-uri "Heatplus" version))
9640 (sha256
9641 (base32
9642 "0b1mzxysmrqinp93p587apna8p0llmawblwj93icydqxxm2jkhb1"))))
9643 (properties `((upstream-name . "Heatplus")))
9644 (build-system r-build-system)
9645 (propagated-inputs
9646 (list r-rcolorbrewer))
9647 (home-page "https://github.com/alexploner/Heatplus")
9648 (synopsis "Heatmaps with row and/or column covariates and colored clusters")
9649 (description
9650 "This package provides tools to display a rectangular heatmap (intensity
9651 plot) of a data matrix. By default, both samples (columns) and features (row)
9652 of the matrix are sorted according to a hierarchical clustering, and the
9653 corresponding dendrogram is plotted. Optionally, panels with additional
9654 information about samples and features can be added to the plot.")
9655 (license license:gpl2+)))
9656
9657 (define-public r-gosemsim
9658 (package
9659 (name "r-gosemsim")
9660 (version "2.22.0")
9661 (source
9662 (origin
9663 (method url-fetch)
9664 (uri (bioconductor-uri "GOSemSim" version))
9665 (sha256
9666 (base32
9667 "1hp15pzd0m0g9f8kglyfsgjqxnvxcmm9022xnsrkzfvmj2yw14vd"))))
9668 (properties `((upstream-name . "GOSemSim")))
9669 (build-system r-build-system)
9670 (propagated-inputs
9671 (list r-annotationdbi r-go-db r-rcpp))
9672 (native-inputs
9673 (list r-knitr))
9674 (home-page "https://guangchuangyu.github.io/software/GOSemSim")
9675 (synopsis "GO-terms semantic similarity measures")
9676 (description
9677 "The semantic comparisons of @dfn{Gene Ontology} (GO) annotations provide
9678 quantitative ways to compute similarities between genes and gene groups, and
9679 have became important basis for many bioinformatics analysis approaches.
9680 GOSemSim is an R package for semantic similarity computation among GO terms,
9681 sets of GO terms, gene products and gene clusters.")
9682 (license license:artistic2.0)))
9683
9684 (define-public r-anota
9685 (package
9686 (name "r-anota")
9687 (version "1.44.0")
9688 (source
9689 (origin
9690 (method url-fetch)
9691 (uri (bioconductor-uri "anota" version))
9692 (sha256
9693 (base32
9694 "1x75r5znl8jllqsgzpxsqj62ch11bpwhmyzmbjmb8sz8f8ww923c"))))
9695 (build-system r-build-system)
9696 (propagated-inputs
9697 (list r-multtest r-qvalue))
9698 (home-page "https://bioconductor.org/packages/anota/")
9699 (synopsis "Analysis of translational activity")
9700 (description
9701 "Genome wide studies of translational control is emerging as a tool to
9702 study various biological conditions. The output from such analysis is both
9703 the mRNA level (e.g. cytosolic mRNA level) and the level of mRNA actively
9704 involved in translation (the actively translating mRNA level) for each mRNA.
9705 The standard analysis of such data strives towards identifying differential
9706 translational between two or more sample classes - i.e., differences in
9707 actively translated mRNA levels that are independent of underlying differences
9708 in cytosolic mRNA levels. This package allows for such analysis using partial
9709 variances and the random variance model. As 10s of thousands of mRNAs are
9710 analyzed in parallel the library performs a number of tests to assure that
9711 the data set is suitable for such analysis.")
9712 (license license:gpl3)))
9713
9714 (define-public r-sigpathway
9715 (package
9716 (name "r-sigpathway")
9717 (version "1.64.0")
9718 (source
9719 (origin
9720 (method url-fetch)
9721 (uri (bioconductor-uri "sigPathway" version))
9722 (sha256
9723 (base32
9724 "1c2kwhbxgf66az7ssm2mab9n5x59zy4kxq8vblz5r9636xqaysif"))))
9725 (properties `((upstream-name . "sigPathway")))
9726 (build-system r-build-system)
9727 (home-page "https://www.pnas.org/cgi/doi/10.1073/pnas.0506577102")
9728 (synopsis "Pathway analysis")
9729 (description
9730 "This package is used to conduct pathway analysis by calculating the NT_k
9731 and NE_k statistics in a statistical framework for determining whether a
9732 specified group of genes for a pathway has a coordinated association with a
9733 phenotype of interest.")
9734 (license license:gpl2)))
9735
9736 (define-public r-fcscan
9737 (package
9738 (name "r-fcscan")
9739 (version "1.10.0")
9740 (source
9741 (origin
9742 (method url-fetch)
9743 (uri (bioconductor-uri "fcScan" version))
9744 (sha256
9745 (base32 "0yv7ifw0xxx1v9z8dxszv0cb72q3frd74dyxfbvrcs6x9y9v3jzp"))))
9746 (properties `((upstream-name . "fcScan")))
9747 (build-system r-build-system)
9748 (propagated-inputs
9749 (list r-doparallel
9750 r-foreach
9751 r-genomicranges
9752 r-iranges
9753 r-plyr
9754 r-rtracklayer
9755 r-summarizedexperiment
9756 r-variantannotation))
9757 (native-inputs (list r-knitr))
9758 (home-page "https://bioconductor.org/packages/fcScan")
9759 (synopsis "Detect clusters of coordinates with user defined options")
9760 (description
9761 "This package is used to detect combination of genomic coordinates
9762 falling within a user defined window size along with user defined overlap
9763 between identified neighboring clusters. It can be used for genomic data
9764 where the clusters are built on a specific chromosome or specific strand.
9765 Clustering can be performed with a \"greedy\" option allowing thus the
9766 presence of additional sites within the allowed window size.")
9767 (license license:artistic2.0)))
9768
9769 (define-public r-fgsea
9770 (package
9771 (name "r-fgsea")
9772 (version "1.22.0")
9773 (source
9774 (origin
9775 (method url-fetch)
9776 (uri (bioconductor-uri "fgsea" version))
9777 (sha256
9778 (base32
9779 "0innyggai6l4fpl4qrblzdc52vqw9jaszmip0yr1lv7rzwyl6mpg"))))
9780 (build-system r-build-system)
9781 (propagated-inputs
9782 (list r-bh
9783 r-biocparallel
9784 r-data-table
9785 r-fastmatch
9786 r-ggplot2
9787 r-gridextra
9788 r-matrix
9789 r-rcpp))
9790 (native-inputs
9791 (list r-knitr))
9792 (home-page "https://github.com/ctlab/fgsea/")
9793 (synopsis "Fast gene set enrichment analysis")
9794 (description
9795 "The package implements an algorithm for fast gene set enrichment
9796 analysis. Using the fast algorithm makes more permutations and gets
9797 more fine grained p-values, which allows using accurate standard approaches
9798 to multiple hypothesis correction.")
9799 (license license:expat)))
9800
9801 (define-public r-dose
9802 (package
9803 (name "r-dose")
9804 (version "3.22.1")
9805 (source
9806 (origin
9807 (method url-fetch)
9808 (uri (bioconductor-uri "DOSE" version))
9809 (sha256
9810 (base32
9811 "1mch26kddrhhzgi4bssnyy7bvdhprrncmvxl6zn1cq7g07p5765i"))))
9812 (properties `((upstream-name . "DOSE")))
9813 (build-system r-build-system)
9814 (propagated-inputs
9815 (list r-annotationdbi
9816 r-biocparallel
9817 r-do-db
9818 r-fgsea
9819 r-ggplot2
9820 r-gosemsim
9821 r-qvalue
9822 r-reshape2))
9823 (native-inputs
9824 (list r-knitr))
9825 (home-page "https://guangchuangyu.github.io/software/DOSE/")
9826 (synopsis "Disease ontology semantic and enrichment analysis")
9827 (description
9828 "This package implements five methods proposed by Resnik, Schlicker,
9829 Jiang, Lin and Wang, respectively, for measuring semantic similarities among
9830 @dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses
9831 including hypergeometric model and gene set enrichment analysis are also
9832 implemented for discovering disease associations of high-throughput biological
9833 data.")
9834 (license license:artistic2.0)))
9835
9836 (define-public r-enrichplot
9837 (package
9838 (name "r-enrichplot")
9839 (version "1.16.2")
9840 (source
9841 (origin
9842 (method url-fetch)
9843 (uri (bioconductor-uri "enrichplot" version))
9844 (sha256
9845 (base32
9846 "0qh7bci3rn6y2fl45izrdb62jcm6j0zxxg4pyp4mvvgjvka5lnss"))))
9847 (build-system r-build-system)
9848 (propagated-inputs
9849 (list r-aplot
9850 r-dose
9851 r-ggplot2
9852 r-ggraph
9853 r-ggtree
9854 r-gosemsim
9855 r-igraph
9856 r-magrittr
9857 r-plyr
9858 r-purrr
9859 r-rcolorbrewer
9860 r-reshape2
9861 r-scatterpie
9862 r-shadowtext
9863 r-yulab-utils))
9864 (native-inputs
9865 (list r-knitr))
9866 (home-page "https://github.com/GuangchuangYu/enrichplot")
9867 (synopsis "Visualization of functional enrichment result")
9868 (description
9869 "The enrichplot package implements several visualization methods for
9870 interpreting functional enrichment results obtained from ORA or GSEA analyses.
9871 All the visualization methods are developed based on ggplot2 graphics.")
9872 (license license:artistic2.0)))
9873
9874 (define-public r-clusterprofiler
9875 (package
9876 (name "r-clusterprofiler")
9877 (version "4.4.4")
9878 (source
9879 (origin
9880 (method url-fetch)
9881 (uri (bioconductor-uri "clusterProfiler" version))
9882 (sha256
9883 (base32
9884 "0k5jhry0j6wa7779n3hrw4ld4bvyahpgpbwi2a0g704m3dd3mqp5"))))
9885 (properties
9886 `((upstream-name . "clusterProfiler")))
9887 (build-system r-build-system)
9888 (propagated-inputs
9889 (list r-annotationdbi
9890 r-dose
9891 r-downloader
9892 r-dplyr
9893 r-enrichplot
9894 r-go-db
9895 r-gosemsim
9896 r-magrittr
9897 r-plyr
9898 r-qvalue
9899 r-rlang
9900 r-tidyr
9901 r-yulab-utils))
9902 (native-inputs
9903 (list r-knitr))
9904 (home-page "https://guangchuangyu.github.io/software/clusterProfiler/")
9905 (synopsis "Analysis and visualization of functional profiles for gene clusters")
9906 (description
9907 "This package implements methods to analyze and visualize functional
9908 profiles (GO and KEGG) of gene and gene clusters.")
9909 (license license:artistic2.0)))
9910
9911 (define-public r-clusterexperiment
9912 (package
9913 (name "r-clusterexperiment")
9914 (version "2.16.0")
9915 (source (origin
9916 (method url-fetch)
9917 (uri (bioconductor-uri "clusterExperiment" version))
9918 (sha256
9919 (base32
9920 "1xd2kxmdg51hhj0zvz7pxmpdvb1sya7prsf9ny2wj2y8ivrqgn4f"))))
9921 (build-system r-build-system)
9922 (native-inputs
9923 (list r-knitr))
9924 (propagated-inputs
9925 (list r-ape
9926 r-biocgenerics
9927 r-biocsingular
9928 r-cluster
9929 r-delayedarray
9930 r-edger
9931 r-hdf5array
9932 r-howmany
9933 r-kernlab
9934 r-limma
9935 r-locfdr
9936 r-matrix
9937 r-matrixstats
9938 r-mbkmeans
9939 r-nmf
9940 r-phylobase
9941 r-pracma
9942 r-rcolorbrewer
9943 r-rcpp
9944 r-s4vectors
9945 r-scales
9946 r-singlecellexperiment
9947 r-stringr
9948 r-summarizedexperiment
9949 r-zinbwave))
9950 (home-page "https://bioconductor.org/packages/clusterExperiment/")
9951 (synopsis "Compare clusterings for single-cell sequencing")
9952 (description "This package provides functionality for running and comparing
9953 many different clusterings of single-cell sequencing data or other large mRNA
9954 expression data sets.")
9955 (license license:artistic2.0)))
9956
9957 (define-public r-mlinterfaces
9958 (package
9959 (name "r-mlinterfaces")
9960 (version "1.76.0")
9961 (source
9962 (origin
9963 (method url-fetch)
9964 (uri (bioconductor-uri "MLInterfaces" version))
9965 (sha256
9966 (base32
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9968 (properties `((upstream-name . "MLInterfaces")))
9969 (build-system r-build-system)
9970 (propagated-inputs
9971 (list r-annotate
9972 r-biobase
9973 r-biocgenerics
9974 r-cluster
9975 r-fpc
9976 r-gbm
9977 r-gdata
9978 r-genefilter
9979 r-ggvis
9980 r-hwriter
9981 r-magrittr
9982 r-mass
9983 r-mlbench
9984 r-pls
9985 r-rcolorbrewer
9986 r-rcpp
9987 r-rpart
9988 r-sfsmisc
9989 r-shiny
9990 r-threejs))
9991 (home-page "https://bioconductor.org/packages/MLInterfaces/")
9992 (synopsis "Interfaces to R machine learning procedures")
9993 (description
9994 "This package provides uniform interfaces to machine learning code for
9995 data in R and Bioconductor containers.")
9996 ;; Any version of the LGPL.
9997 (license license:lgpl2.1+)))
9998
9999 (define-public r-annaffy
10000 (package
10001 (name "r-annaffy")
10002 (version "1.68.0")
10003 (source
10004 (origin
10005 (method url-fetch)
10006 (uri (bioconductor-uri "annaffy" version))
10007 (sha256
10008 (base32
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10010 (build-system r-build-system)
10011 (arguments
10012 `(#:phases
10013 (modify-phases %standard-phases
10014 (add-after 'unpack 'remove-reference-to-non-free-data
10015 (lambda _
10016 (substitute* "DESCRIPTION"
10017 ((", KEGG.db") "")))))))
10018 (propagated-inputs
10019 (list r-annotationdbi r-biobase r-biocmanager r-dbi r-go-db))
10020 (home-page "https://bioconductor.org/packages/annaffy/")
10021 (synopsis "Annotation tools for Affymetrix biological metadata")
10022 (description
10023 "This package provides functions for handling data from Bioconductor
10024 Affymetrix annotation data packages. It produces compact HTML and text
10025 reports including experimental data and URL links to many online databases.
10026 It allows searching of biological metadata using various criteria.")
10027 ;; Any version of the LGPL according to the DESCRIPTION file. A copy of
10028 ;; the LGPL 2.1 is included.
10029 (license license:lgpl2.1+)))
10030
10031 (define-public r-a4core
10032 (package
10033 (name "r-a4core")
10034 (version "1.44.0")
10035 (source
10036 (origin
10037 (method url-fetch)
10038 (uri (bioconductor-uri "a4Core" version))
10039 (sha256
10040 (base32
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10042 (properties `((upstream-name . "a4Core")))
10043 (build-system r-build-system)
10044 (propagated-inputs
10045 (list r-biobase r-glmnet))
10046 (native-inputs
10047 (list r-knitr))
10048 (home-page "https://bioconductor.org/packages/a4Core")
10049 (synopsis "Automated Affymetrix array analysis core package")
10050 (description
10051 "This is the core package for the automated analysis of Affymetrix
10052 arrays.")
10053 (license license:gpl3)))
10054
10055 (define-public r-a4classif
10056 (package
10057 (name "r-a4classif")
10058 (version "1.44.0")
10059 (source
10060 (origin
10061 (method url-fetch)
10062 (uri (bioconductor-uri "a4Classif" version))
10063 (sha256
10064 (base32
10065 "1v61vgpqrf7bhk44n2gkxb8dm5d0rr8c9rd6fdcjs50nhij0lbiw"))))
10066 (properties `((upstream-name . "a4Classif")))
10067 (build-system r-build-system)
10068 (propagated-inputs
10069 (list r-a4core
10070 r-a4preproc
10071 r-biobase
10072 r-glmnet
10073 r-pamr
10074 r-rocr
10075 r-varselrf))
10076 (native-inputs
10077 (list r-knitr))
10078 (home-page "https://bioconductor.org/packages/a4Classif/")
10079 (synopsis "Automated Affymetrix array analysis classification package")
10080 (description
10081 "This is the classification package for the automated analysis of
10082 Affymetrix arrays.")
10083 (license license:gpl3)))
10084
10085 (define-public r-a4preproc
10086 (package
10087 (name "r-a4preproc")
10088 (version "1.44.0")
10089 (source
10090 (origin
10091 (method url-fetch)
10092 (uri (bioconductor-uri "a4Preproc" version))
10093 (sha256
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10096 (properties `((upstream-name . "a4Preproc")))
10097 (build-system r-build-system)
10098 (propagated-inputs
10099 (list r-biobase r-biocgenerics))
10100 (native-inputs
10101 (list r-knitr))
10102 (home-page "https://bioconductor.org/packages/a4Preproc/")
10103 (synopsis "Automated Affymetrix array analysis preprocessing package")
10104 (description
10105 "This is a package for the automated analysis of Affymetrix arrays. It
10106 is used for preprocessing the arrays.")
10107 (license license:gpl3)))
10108
10109 (define-public r-a4reporting
10110 (package
10111 (name "r-a4reporting")
10112 (version "1.44.0")
10113 (source
10114 (origin
10115 (method url-fetch)
10116 (uri (bioconductor-uri "a4Reporting" version))
10117 (sha256
10118 (base32
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10120 (properties `((upstream-name . "a4Reporting")))
10121 (build-system r-build-system)
10122 (propagated-inputs
10123 (list r-xtable))
10124 (native-inputs
10125 (list r-knitr))
10126 (home-page "https://bioconductor.org/packages/a4Reporting/")
10127 (synopsis "Automated Affymetrix array analysis reporting package")
10128 (description
10129 "This is a package for the automated analysis of Affymetrix arrays. It
10130 provides reporting features.")
10131 (license license:gpl3)))
10132
10133 (define-public r-a4base
10134 (package
10135 (name "r-a4base")
10136 (version "1.44.0")
10137 (source
10138 (origin
10139 (method url-fetch)
10140 (uri (bioconductor-uri "a4Base" version))
10141 (sha256
10142 (base32
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10144 (properties `((upstream-name . "a4Base")))
10145 (build-system r-build-system)
10146 (propagated-inputs
10147 (list r-a4core
10148 r-a4preproc
10149 r-annaffy
10150 r-biobase
10151 r-genefilter
10152 r-glmnet
10153 r-gplots
10154 r-limma
10155 r-mpm
10156 r-multtest))
10157 (home-page "https://bioconductor.org/packages/a4Base/")
10158 (synopsis "Automated Affymetrix array analysis base package")
10159 (description
10160 "This package provides basic features for the automated analysis of
10161 Affymetrix arrays.")
10162 (license license:gpl3)))
10163
10164 (define-public r-a4
10165 (package
10166 (name "r-a4")
10167 (version "1.44.0")
10168 (source
10169 (origin
10170 (method url-fetch)
10171 (uri (bioconductor-uri "a4" version))
10172 (sha256
10173 (base32
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10175 (build-system r-build-system)
10176 (propagated-inputs
10177 (list r-a4base r-a4classif r-a4core r-a4preproc r-a4reporting))
10178 (home-page "https://bioconductor.org/packages/a4/")
10179 (synopsis "Automated Affymetrix array analysis umbrella package")
10180 (description
10181 "This package provides a software suite for the automated analysis of
10182 Affymetrix arrays.")
10183 (license license:gpl3)))
10184
10185 (define-public r-abseqr
10186 (package
10187 (name "r-abseqr")
10188 (version "1.14.0")
10189 (source
10190 (origin
10191 (method url-fetch)
10192 (uri (bioconductor-uri "abseqR" version))
10193 (sha256
10194 (base32
10195 "0jh3rj6ag07vpw6fymqm6m4jkrm9mgf50zkjncahxdf52mna8a9b"))))
10196 (properties `((upstream-name . "abseqR")))
10197 (build-system r-build-system)
10198 (inputs
10199 (list pandoc))
10200 (propagated-inputs
10201 (list r-biocparallel
10202 r-biocstyle
10203 r-circlize
10204 r-flexdashboard
10205 r-ggcorrplot
10206 r-ggdendro
10207 r-ggplot2
10208 r-gridextra
10209 r-knitr
10210 r-plotly
10211 r-plyr
10212 r-png
10213 r-rcolorbrewer
10214 r-reshape2
10215 r-rmarkdown
10216 r-stringr
10217 r-vegan
10218 r-venndiagram))
10219 (native-inputs
10220 (list r-knitr))
10221 (home-page "https://github.com/malhamdoosh/abseqR")
10222 (synopsis "Reporting and data analysis for Rep-Seq datasets of antibody libraries")
10223 (description
10224 "AbSeq is a comprehensive bioinformatic pipeline for the analysis of
10225 sequencing datasets generated from antibody libraries and abseqR is one of its
10226 packages. AbseqR empowers the users of abseqPy with plotting and reporting
10227 capabilities and allows them to generate interactive HTML reports for the
10228 convenience of viewing and sharing with other researchers. Additionally,
10229 abseqR extends abseqPy to compare multiple repertoire analyses and perform
10230 further downstream analysis on its output.")
10231 (license license:gpl3)))
10232
10233 (define-public r-bacon
10234 (package
10235 (name "r-bacon")
10236 (version "1.24.0")
10237 (source
10238 (origin
10239 (method url-fetch)
10240 (uri (bioconductor-uri "bacon" version))
10241 (sha256
10242 (base32
10243 "1zvcxdj3r892898ik5gq3jdbfig1438qws4bwd465ik8vi7g39v8"))))
10244 (build-system r-build-system)
10245 (propagated-inputs
10246 (list r-biocparallel r-ellipse r-ggplot2))
10247 (native-inputs
10248 (list r-knitr))
10249 (home-page "https://bioconductor.org/packages/bacon/")
10250 (synopsis "Controlling bias and inflation in association studies")
10251 (description
10252 "Bacon can be used to remove inflation and bias often observed in
10253 epigenome- and transcriptome-wide association studies. To this end bacon
10254 constructs an empirical null distribution using a Gibbs Sampling algorithm by
10255 fitting a three-component normal mixture on z-scores.")
10256 (license license:gpl2+)))
10257
10258 (define-public r-rgadem
10259 (package
10260 (name "r-rgadem")
10261 (version "2.44.1")
10262 (source
10263 (origin
10264 (method url-fetch)
10265 (uri (bioconductor-uri "rGADEM" version))
10266 (sha256
10267 (base32
10268 "052z9iavnmkaz9jzz7ycpb8z7qqq3s5k6a04icrwl00wff7zqa2q"))))
10269 (properties `((upstream-name . "rGADEM")))
10270 (build-system r-build-system)
10271 (propagated-inputs
10272 (list r-biostrings r-bsgenome r-genomicranges r-iranges r-seqlogo))
10273 (home-page "https://bioconductor.org/packages/rGADEM/")
10274 (synopsis "De novo sequence motif discovery")
10275 (description
10276 "rGADEM is an efficient de novo motif discovery tool for large-scale
10277 genomic sequence data.")
10278 (license license:artistic2.0)))
10279
10280 (define-public r-motiv
10281 (package
10282 (name "r-motiv")
10283 (version "1.43.0")
10284 (source
10285 (origin
10286 (method url-fetch)
10287 (uri (bioconductor-uri "MotIV" version))
10288 (sha256
10289 (base32
10290 "1yqqymcrnwlpv6h3w80yliv19922g32xqlqszaqjk6zp853qilh6"))))
10291 (properties `((upstream-name . "MotIV")))
10292 (build-system r-build-system)
10293 (inputs
10294 (list gsl))
10295 (propagated-inputs
10296 (list r-biocgenerics
10297 r-biostrings
10298 r-genomicranges
10299 r-iranges
10300 r-lattice
10301 r-rgadem
10302 r-s4vectors))
10303 (home-page "https://bioconductor.org/packages/MotIV/")
10304 (synopsis "Motif identification and validation")
10305 (description
10306 "This package is used for the identification and validation of sequence
10307 motifs. It makes use of STAMP for comparing a set of motifs to a given
10308 database (e.g. JASPAR). It can also be used to visualize motifs, motif
10309 distributions, modules and filter motifs.")
10310 (license license:gpl2)))
10311
10312 (define-public r-motifdb
10313 (package
10314 (name "r-motifdb")
10315 (version "1.38.0")
10316 (source (origin
10317 (method url-fetch)
10318 (uri (bioconductor-uri "MotifDb" version))
10319 (sha256
10320 (base32 "1cyfz0l0yvdii3idaiq5w39yzxlzfpifa4v5pv7hdjfjj83a8rbi"))))
10321 (properties `((upstream-name . "MotifDb")))
10322 (build-system r-build-system)
10323 (propagated-inputs
10324 (list r-biocgenerics
10325 r-biostrings
10326 r-genomicranges
10327 r-iranges
10328 r-rtracklayer
10329 r-s4vectors
10330 r-splitstackshape))
10331 (native-inputs
10332 (list r-knitr))
10333 (home-page "https://www.bioconductor.org/packages/MotifDb/")
10334 (synopsis "Annotated collection of protein-DNA binding sequence motifs")
10335 (description "This package provides more than 2000 annotated position
10336 frequency matrices from nine public sources, for multiple organisms.")
10337 (license license:artistic2.0)))
10338
10339 (define-public r-motifbreakr
10340 (package
10341 (name "r-motifbreakr")
10342 (version "2.10.0")
10343 (source (origin
10344 (method url-fetch)
10345 (uri (bioconductor-uri "motifbreakR" version))
10346 (sha256
10347 (base32 "0sad73jjx52qzp1fmygp6xqvaxwl5szi69f00f94i1pdyq70qhlg"))))
10348 (properties `((upstream-name . "motifbreakR")))
10349 (build-system r-build-system)
10350 (propagated-inputs
10351 (list r-biocgenerics
10352 r-biocparallel
10353 r-biostrings
10354 r-bsgenome
10355 r-genomeinfodb
10356 r-genomicranges
10357 r-gviz
10358 r-iranges
10359 r-matrixstats
10360 r-motifdb
10361 r-motifstack
10362 r-rtracklayer
10363 r-s4vectors
10364 r-stringr
10365 r-summarizedexperiment
10366 r-tfmpvalue
10367 r-variantannotation))
10368 (native-inputs
10369 (list r-knitr))
10370 (home-page "https://www.bioconductor.org/packages/motifbreakR/")
10371 (synopsis "Predicting disruptiveness of single nucleotide polymorphisms")
10372 (description "This package allows biologists to judge in the first place
10373 whether the sequence surrounding the polymorphism is a good match, and in
10374 the second place how much information is gained or lost in one allele of
10375 the polymorphism relative to another. This package gives a choice of
10376 algorithms for interrogation of genomes with motifs from public sources:
10377 @enumerate
10378 @item a weighted-sum probability matrix;
10379 @item log-probabilities;
10380 @item weighted by relative entropy.
10381 @end enumerate
10382
10383 This package can predict effects for novel or previously described variants in
10384 public databases, making it suitable for tasks beyond the scope of its original
10385 design. Lastly, it can be used to interrogate any genome curated within
10386 Bioconductor.")
10387 (license license:gpl2+)))
10388
10389 (define-public r-motifstack
10390 (package
10391 (name "r-motifstack")
10392 (version "1.40.0")
10393 (source
10394 (origin
10395 (method url-fetch)
10396 (uri (bioconductor-uri "motifStack" version))
10397 (sha256
10398 (base32
10399 "0d2ihx73chczbv6f91n04qb372plrdv7k4qws8shyw1fmvb1rq0z"))))
10400 (properties `((upstream-name . "motifStack")))
10401 (build-system r-build-system)
10402 (propagated-inputs
10403 (list r-ade4
10404 r-biostrings
10405 r-ggplot2
10406 r-htmlwidgets
10407 r-tfbstools
10408 r-xml))
10409 (native-inputs
10410 (list r-knitr))
10411 (home-page "https://bioconductor.org/packages/motifStack/")
10412 (synopsis "Plot stacked logos for DNA, RNA and amino acid sequences")
10413 (description
10414 "The motifStack package is designed for graphic representation of
10415 multiple motifs with different similarity scores. It works with both DNA/RNA
10416 sequence motifs and amino acid sequence motifs. In addition, it provides the
10417 flexibility for users to customize the graphic parameters such as the font
10418 type and symbol colors.")
10419 (license license:gpl2+)))
10420
10421 (define-public r-genomicscores
10422 (package
10423 (name "r-genomicscores")
10424 (version "2.8.2")
10425 (source
10426 (origin
10427 (method url-fetch)
10428 (uri (bioconductor-uri "GenomicScores" version))
10429 (sha256
10430 (base32
10431 "12rcxw69an1d5q7ar58xy8s871l47imw2nm08j054ivxslx8597j"))))
10432 (properties `((upstream-name . "GenomicScores")))
10433 (build-system r-build-system)
10434 (propagated-inputs
10435 (list r-annotationhub
10436 r-biobase
10437 r-biocfilecache
10438 r-biocgenerics
10439 r-biocmanager
10440 r-biostrings
10441 r-delayedarray
10442 r-genomeinfodb
10443 r-genomicranges
10444 r-hdf5array
10445 r-httr
10446 r-iranges
10447 r-rhdf5
10448 r-s4vectors
10449 r-xml))
10450 (native-inputs
10451 (list r-knitr))
10452 (home-page "https://github.com/rcastelo/GenomicScores/")
10453 (synopsis "Work with genome-wide position-specific scores")
10454 (description
10455 "This package provides infrastructure to store and access genome-wide
10456 position-specific scores within R and Bioconductor.")
10457 (license license:artistic2.0)))
10458
10459 (define-public r-atacseqqc
10460 (package
10461 (name "r-atacseqqc")
10462 (version "1.20.2")
10463 (source
10464 (origin
10465 (method url-fetch)
10466 (uri (bioconductor-uri "ATACseqQC" version))
10467 (sha256
10468 (base32
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10470 (properties `((upstream-name . "ATACseqQC")))
10471 (build-system r-build-system)
10472 (propagated-inputs
10473 (list r-biocgenerics
10474 r-biostrings
10475 r-bsgenome
10476 r-chippeakanno
10477 r-edger
10478 r-genomeinfodb
10479 r-genomicalignments
10480 r-genomicranges
10481 r-genomicscores
10482 r-iranges
10483 r-kernsmooth
10484 r-limma
10485 r-motifstack
10486 r-preseqr
10487 r-randomforest
10488 r-rsamtools
10489 r-rtracklayer
10490 r-s4vectors))
10491 (native-inputs
10492 (list r-knitr))
10493 (home-page "https://bioconductor.org/packages/ATACseqQC/")
10494 (synopsis "ATAC-seq quality control")
10495 (description
10496 "ATAC-seq, an assay for Transposase-Accessible Chromatin using
10497 sequencing, is a rapid and sensitive method for chromatin accessibility
10498 analysis. It was developed as an alternative method to MNase-seq, FAIRE-seq
10499 and DNAse-seq. The ATACseqQC package was developed to help users to quickly
10500 assess whether their ATAC-seq experiment is successful. It includes
10501 diagnostic plots of fragment size distribution, proportion of mitochondria
10502 reads, nucleosome positioning pattern, and CTCF or other Transcript Factor
10503 footprints.")
10504 (license license:gpl2+)))
10505
10506 (define-public r-gofuncr
10507 (package
10508 (name "r-gofuncr")
10509 (version "1.16.0")
10510 (source
10511 (origin
10512 (method url-fetch)
10513 (uri (bioconductor-uri "GOfuncR" version))
10514 (sha256
10515 (base32
10516 "02vdfsjrqp0m06mfbspwkxjyqxfca0w1idgygpi1a9i5m4fqhwpk"))))
10517 (properties `((upstream-name . "GOfuncR")))
10518 (build-system r-build-system)
10519 (propagated-inputs
10520 (list r-annotationdbi
10521 r-genomicranges
10522 r-gtools
10523 r-iranges
10524 r-mapplots
10525 r-rcpp
10526 r-vioplot))
10527 (native-inputs
10528 (list r-knitr))
10529 (home-page "https://bioconductor.org/packages/GOfuncR/")
10530 (synopsis "Gene ontology enrichment using FUNC")
10531 (description
10532 "GOfuncR performs a gene ontology enrichment analysis based on the
10533 ontology enrichment software FUNC. GO-annotations are obtained from
10534 OrganismDb or OrgDb packages (@code{Homo.sapiens} by default); the GO-graph is
10535 included in the package and updated regularly. GOfuncR provides the standard
10536 candidate vs background enrichment analysis using the hypergeometric test, as
10537 well as three additional tests:
10538
10539 @enumerate
10540 @item the Wilcoxon rank-sum test that is used when genes are ranked,
10541 @item a binomial test that is used when genes are associated with two counts,
10542 and
10543 @item a Chi-square or Fisher's exact test that is used in cases when genes are
10544 associated with four counts.
10545 @end enumerate
10546
10547 To correct for multiple testing and interdependency of the tests, family-wise
10548 error rates are computed based on random permutations of the gene-associated
10549 variables. GOfuncR also provides tools for exploring the ontology graph and
10550 the annotations, and options to take gene-length or spatial clustering of
10551 genes into account. It is also possible to provide custom gene coordinates,
10552 annotations and ontologies.")
10553 (license license:gpl2+)))
10554
10555 (define-public r-abaenrichment
10556 (package
10557 (name "r-abaenrichment")
10558 (version "1.24.0")
10559 (source
10560 (origin
10561 (method url-fetch)
10562 (uri (bioconductor-uri "ABAEnrichment" version))
10563 (sha256
10564 (base32
10565 "1sp3f72rzlr822dxx42bswynrwwfx6f520hdhfdikqp13p2y4044"))))
10566 (properties `((upstream-name . "ABAEnrichment")))
10567 (build-system r-build-system)
10568 (propagated-inputs
10569 (list r-abadata
10570 r-data-table
10571 r-gofuncr
10572 r-gplots
10573 r-gtools
10574 r-rcpp))
10575 (native-inputs
10576 (list r-knitr))
10577 (home-page "https://bioconductor.org/packages/ABAEnrichment/")
10578 (synopsis "Gene expression enrichment in human brain regions")
10579 (description
10580 "The package ABAEnrichment is designed to test for enrichment of user
10581 defined candidate genes in the set of expressed genes in different human brain
10582 regions. The core function @code{aba_enrich} integrates the expression of the
10583 candidate gene set (averaged across donors) and the structural information of
10584 the brain using an ontology, both provided by the Allen Brain Atlas project.")
10585 (license license:gpl2+)))
10586
10587 (define-public r-annotationfuncs
10588 (package
10589 (name "r-annotationfuncs")
10590 (version "1.40.0")
10591 (source
10592 (origin
10593 (method url-fetch)
10594 (uri (bioconductor-uri "AnnotationFuncs" version))
10595 (sha256
10596 (base32
10597 "0xsm7741zm81bi4c9hy0zaacnk8a6bahdpc6srqzrbsz0pfzdyhr"))))
10598 (properties
10599 `((upstream-name . "AnnotationFuncs")))
10600 (build-system r-build-system)
10601 (propagated-inputs
10602 (list r-annotationdbi r-dbi))
10603 (home-page "https://www.iysik.com/r/annotationfuncs")
10604 (synopsis "Annotation translation functions")
10605 (description
10606 "This package provides functions for handling translating between
10607 different identifieres using the Biocore Data Team data-packages (e.g.
10608 @code{org.Bt.eg.db}).")
10609 (license license:gpl2)))
10610
10611 (define-public r-annotationtools
10612 (package
10613 (name "r-annotationtools")
10614 (version "1.70.0")
10615 (source
10616 (origin
10617 (method url-fetch)
10618 (uri (bioconductor-uri "annotationTools" version))
10619 (sha256
10620 (base32
10621 "122b424zida3j0vqkn8d06sg3jpc3ngsgidr8kgg00n4cjngkc51"))))
10622 (properties
10623 `((upstream-name . "annotationTools")))
10624 (build-system r-build-system)
10625 (propagated-inputs (list r-biobase))
10626 (home-page "https://bioconductor.org/packages/annotationTools/")
10627 (synopsis "Annotate microarrays and perform gene expression analyses")
10628 (description
10629 "This package provides functions to annotate microarrays, find orthologs,
10630 and integrate heterogeneous gene expression profiles using annotation and
10631 other molecular biology information available as flat file database (plain
10632 text files).")
10633 ;; Any version of the GPL.
10634 (license (list license:gpl2+))))
10635
10636 (define-public r-allelicimbalance
10637 (package
10638 (name "r-allelicimbalance")
10639 (version "1.34.0")
10640 (source
10641 (origin
10642 (method url-fetch)
10643 (uri (bioconductor-uri "AllelicImbalance" version))
10644 (sha256
10645 (base32
10646 "0w4xd0xzkwx7bbhrgqligpahlhg85rginknx520z891r8v0bim2z"))))
10647 (properties
10648 `((upstream-name . "AllelicImbalance")))
10649 (build-system r-build-system)
10650 (propagated-inputs
10651 (list r-annotationdbi
10652 r-biocgenerics
10653 r-biostrings
10654 r-bsgenome
10655 r-genomeinfodb
10656 r-genomicalignments
10657 r-genomicfeatures
10658 r-genomicranges
10659 r-gridextra
10660 r-gviz
10661 r-iranges
10662 r-lattice
10663 r-latticeextra
10664 r-nlme
10665 r-rsamtools
10666 r-s4vectors
10667 r-seqinr
10668 r-summarizedexperiment
10669 r-variantannotation))
10670 (native-inputs
10671 (list r-knitr))
10672 (home-page "https://github.com/pappewaio/AllelicImbalance")
10673 (synopsis "Investigate allele-specific expression")
10674 (description
10675 "This package provides a framework for allele-specific expression
10676 investigation using RNA-seq data.")
10677 (license license:gpl3)))
10678
10679 (define-public r-aucell
10680 (package
10681 (name "r-aucell")
10682 (version "1.18.1")
10683 (source
10684 (origin
10685 (method url-fetch)
10686 (uri (bioconductor-uri "AUCell" version))
10687 (sha256
10688 (base32
10689 "17wr7dycll0l1gax4w268qw7is163bs51rj6p1qnx1dgc9ibnsgr"))))
10690 (properties `((upstream-name . "AUCell")))
10691 (build-system r-build-system)
10692 (propagated-inputs
10693 (list r-biocgenerics
10694 r-data-table
10695 r-delayedarray
10696 r-delayedmatrixstats
10697 r-gseabase
10698 r-mixtools
10699 r-r-utils
10700 r-shiny
10701 r-summarizedexperiment))
10702 (native-inputs
10703 (list r-knitr))
10704 (home-page "https://bioconductor.org/packages/AUCell/")
10705 (synopsis "Analysis of gene set activity in single-cell RNA-seq data")
10706 (description
10707 "AUCell identifies cells with active gene sets (e.g. signatures,
10708 gene modules, etc) in single-cell RNA-seq data. AUCell uses the @dfn{Area
10709 Under the Curve} (AUC) to calculate whether a critical subset of the input
10710 gene set is enriched within the expressed genes for each cell. The
10711 distribution of AUC scores across all the cells allows exploring the relative
10712 expression of the signature. Since the scoring method is ranking-based,
10713 AUCell is independent of the gene expression units and the normalization
10714 procedure. In addition, since the cells are evaluated individually, it can
10715 easily be applied to bigger datasets, subsetting the expression matrix if
10716 needed.")
10717 (license license:gpl3)))
10718
10719 (define-public r-ebimage
10720 (package
10721 (name "r-ebimage")
10722 (version "4.38.0")
10723 (source
10724 (origin
10725 (method url-fetch)
10726 (uri (bioconductor-uri "EBImage" version))
10727 (sha256
10728 (base32
10729 "1vcx45bw36k9daw9dywj5bz77jmqk4gjfwsym8ajjnc1jmlq20si"))))
10730 (properties `((upstream-name . "EBImage")))
10731 (build-system r-build-system)
10732 (propagated-inputs
10733 (list r-abind
10734 r-biocgenerics
10735 r-fftwtools
10736 r-htmltools
10737 r-htmlwidgets
10738 r-jpeg
10739 r-locfit
10740 r-png
10741 r-rcurl
10742 r-tiff))
10743 (native-inputs
10744 (list r-knitr)) ; for vignettes
10745 (home-page "https://github.com/aoles/EBImage")
10746 (synopsis "Image processing and analysis toolbox for R")
10747 (description
10748 "EBImage provides general purpose functionality for image processing and
10749 analysis. In the context of (high-throughput) microscopy-based cellular
10750 assays, EBImage offers tools to segment cells and extract quantitative
10751 cellular descriptors. This allows the automation of such tasks using the R
10752 programming language and facilitates the use of other tools in the R
10753 environment for signal processing, statistical modeling, machine learning and
10754 visualization with image data.")
10755 ;; Any version of the LGPL.
10756 (license license:lgpl2.1+)))
10757
10758 (define-public r-yamss
10759 (package
10760 (name "r-yamss")
10761 (version "1.22.0")
10762 (source
10763 (origin
10764 (method url-fetch)
10765 (uri (bioconductor-uri "yamss" version))
10766 (sha256
10767 (base32
10768 "1lcfxw73cxvpy3bnq28pxdy5128mpq5xklsa0mzxdjyqc4g55hy8"))))
10769 (build-system r-build-system)
10770 (propagated-inputs
10771 (list r-biocgenerics
10772 r-data-table
10773 r-ebimage
10774 r-iranges
10775 r-limma
10776 r-matrix
10777 r-mzr
10778 r-s4vectors
10779 r-summarizedexperiment))
10780 (native-inputs
10781 (list r-knitr))
10782 (home-page "https://github.com/hansenlab/yamss")
10783 (synopsis "Tools for high-throughput metabolomics")
10784 (description
10785 "This package provides tools to analyze and visualize high-throughput
10786 metabolomics data acquired using chromatography-mass spectrometry. These tools
10787 preprocess data in a way that enables reliable and powerful differential
10788 analysis.")
10789 (license license:artistic2.0)))
10790
10791 (define-public r-gtrellis
10792 (package
10793 (name "r-gtrellis")
10794 (version "1.28.0")
10795 (source
10796 (origin
10797 (method url-fetch)
10798 (uri (bioconductor-uri "gtrellis" version))
10799 (sha256
10800 (base32
10801 "1s4xczzv6hz2kyv32xgcq84540w75qr3f644w1s4c3kwxgyq2gff"))))
10802 (build-system r-build-system)
10803 (propagated-inputs
10804 (list r-circlize r-genomicranges r-getoptlong r-iranges))
10805 (native-inputs
10806 (list r-knitr))
10807 (home-page "https://github.com/jokergoo/gtrellis")
10808 (synopsis "Genome level Trellis layout")
10809 (description
10810 "Genome level Trellis graph visualizes genomic data conditioned by
10811 genomic categories (e.g. chromosomes). For each genomic category, multiple
10812 dimensional data which are represented as tracks describe different features
10813 from different aspects. This package provides high flexibility to arrange
10814 genomic categories and to add self-defined graphics in the plot.")
10815 (license license:expat)))
10816
10817 (define-public r-somaticsignatures
10818 (package
10819 (name "r-somaticsignatures")
10820 (version "2.32.0")
10821 (source
10822 (origin
10823 (method url-fetch)
10824 (uri (bioconductor-uri "SomaticSignatures" version))
10825 (sha256
10826 (base32
10827 "1ydnp54laznzpi08s403kxhnr5nqhvm3iilaxlcdlz0ngxhm6vx6"))))
10828 (properties
10829 `((upstream-name . "SomaticSignatures")))
10830 (build-system r-build-system)
10831 (propagated-inputs
10832 (list r-biobase
10833 r-biostrings
10834 r-genomeinfodb
10835 r-genomicranges
10836 r-ggbio
10837 r-ggplot2
10838 r-iranges
10839 r-nmf
10840 r-pcamethods
10841 r-proxy
10842 r-reshape2
10843 r-s4vectors
10844 r-variantannotation))
10845 (native-inputs
10846 (list r-knitr))
10847 (home-page "https://github.com/juliangehring/SomaticSignatures")
10848 (synopsis "Somatic signatures")
10849 (description
10850 "This package identifies mutational signatures of @dfn{single nucleotide
10851 variants} (SNVs). It provides a infrastructure related to the methodology
10852 described in Nik-Zainal (2012, Cell), with flexibility in the matrix
10853 decomposition algorithms.")
10854 (license license:expat)))
10855
10856 (define-public r-yapsa
10857 (package
10858 (name "r-yapsa")
10859 (version "1.22.0")
10860 (source
10861 (origin
10862 (method url-fetch)
10863 (uri (bioconductor-uri "YAPSA" version))
10864 (sha256
10865 (base32
10866 "1klqfif4sadkxw7agywk2ncvcdqsnfb1d6adnacdfdasr8abvhid"))))
10867 (properties `((upstream-name . "YAPSA")))
10868 (build-system r-build-system)
10869 (propagated-inputs
10870 (list r-biostrings
10871 r-bsgenome-hsapiens-ucsc-hg19
10872 r-circlize
10873 r-complexheatmap
10874 r-corrplot
10875 r-dendextend
10876 r-doparallel
10877 r-dplyr
10878 r-genomeinfodb
10879 r-genomicranges
10880 r-getoptlong
10881 r-ggbeeswarm
10882 r-ggplot2
10883 r-gridextra
10884 r-gtrellis
10885 r-keggrest
10886 r-limsolve
10887 r-magrittr
10888 r-pmcmrplus
10889 r-pracma
10890 r-reshape2
10891 r-somaticsignatures
10892 r-variantannotation))
10893 (native-inputs
10894 (list r-knitr))
10895 (home-page "https://bioconductor.org/packages/YAPSA/")
10896 (synopsis "Yet another package for signature analysis")
10897 (description
10898 "This package provides functions and routines useful in the analysis of
10899 somatic signatures (cf. L. Alexandrov et al., Nature 2013). In particular,
10900 functions to perform a signature analysis with known signatures and a
10901 signature analysis on @dfn{stratified mutational catalogue} (SMC) are
10902 provided.")
10903 (license license:gpl3)))
10904
10905 (define-public r-gcrma
10906 (package
10907 (name "r-gcrma")
10908 (version "2.68.0")
10909 (source
10910 (origin
10911 (method url-fetch)
10912 (uri (bioconductor-uri "gcrma" version))
10913 (sha256
10914 (base32
10915 "13a8igr2b02gsa6n3437kb33wg6h7si82fmqi35dzpfzhvx0qf6d"))))
10916 (build-system r-build-system)
10917 (propagated-inputs
10918 (list r-affy
10919 r-affyio
10920 r-biobase
10921 r-biocmanager
10922 r-biostrings
10923 r-xvector))
10924 (home-page "https://bioconductor.org/packages/gcrma/")
10925 (synopsis "Background adjustment using sequence information")
10926 (description
10927 "Gcrma adjusts for background intensities in Affymetrix array data which
10928 include optical noise and @dfn{non-specific binding} (NSB). The main function
10929 @code{gcrma} converts background adjusted probe intensities to expression
10930 measures using the same normalization and summarization methods as a
10931 @dfn{Robust Multiarray Average} (RMA). Gcrma uses probe sequence information
10932 to estimate probe affinity to NSB. The sequence information is summarized in
10933 a more complex way than the simple GC content. Instead, the base types (A, T,
10934 G or C) at each position along the probe determine the affinity of each probe.
10935 The parameters of the position-specific base contributions to the probe
10936 affinity is estimated in an NSB experiment in which only NSB but no
10937 gene-specific binding is expected.")
10938 ;; Any version of the LGPL
10939 (license license:lgpl2.1+)))
10940
10941 (define-public r-simpleaffy
10942 (package
10943 (name "r-simpleaffy")
10944 (version "2.66.0")
10945 (source
10946 (origin
10947 (method url-fetch)
10948 (uri (bioconductor-uri "simpleaffy" version))
10949 (sha256
10950 (base32
10951 "04a11dsqd5y4b39nny94acnh0qhdazjc6d1803izza4vrgmw2csb"))))
10952 (build-system r-build-system)
10953 (propagated-inputs
10954 (list r-affy r-biobase r-biocgenerics r-gcrma r-genefilter))
10955 (home-page "https://bioconductor.org/packages/simpleaffy/")
10956 (synopsis "Very simple high level analysis of Affymetrix data")
10957 (description
10958 "This package provides high level functions for reading Affy @file{.CEL}
10959 files, phenotypic data, and then computing simple things with it, such as
10960 t-tests, fold changes and the like. It makes heavy use of the @code{affy}
10961 library. It also has some basic scatter plot functions and mechanisms for
10962 generating high resolution journal figures.")
10963 (license license:gpl2+)))
10964
10965 (define-public r-yaqcaffy
10966 (package
10967 (name "r-yaqcaffy")
10968 (version "1.50.0")
10969 (source
10970 (origin
10971 (method url-fetch)
10972 (uri (bioconductor-uri "yaqcaffy" version))
10973 (sha256
10974 (base32
10975 "18gphcjj15iivrahp52186bvdg07yd2dvrykfjdd4r1vyf33im96"))))
10976 (build-system r-build-system)
10977 (propagated-inputs
10978 (list r-simpleaffy))
10979 (home-page "https://bioconductor.org/packages/yaqcaffy/")
10980 (synopsis "Affymetrix quality control and reproducibility analysis")
10981 (description
10982 "This is a package that can be used for quality control of Affymetrix
10983 GeneChip expression data and reproducibility analysis of human whole genome
10984 chips with the MAQC reference datasets.")
10985 (license license:artistic2.0)))
10986
10987 (define-public r-quantro
10988 (package
10989 (name "r-quantro")
10990 (version "1.30.0")
10991 (source
10992 (origin
10993 (method url-fetch)
10994 (uri (bioconductor-uri "quantro" version))
10995 (sha256
10996 (base32
10997 "1zfrz7lxyrbf0c8d277npzj1h4six9whkqplvcjmn3li0xj5qng3"))))
10998 (build-system r-build-system)
10999 (propagated-inputs
11000 (list r-biobase
11001 r-doparallel
11002 r-foreach
11003 r-ggplot2
11004 r-iterators
11005 r-minfi
11006 r-rcolorbrewer))
11007 (native-inputs
11008 (list r-knitr))
11009 (home-page "https://bioconductor.org/packages/quantro/")
11010 (synopsis "Test for when to use quantile normalization")
11011 (description
11012 "This package provides a data-driven test for the assumptions of quantile
11013 normalization using raw data such as objects that inherit eSets (e.g.
11014 ExpressionSet, MethylSet). Group level information about each sample (such as
11015 Tumor / Normal status) must also be provided because the test assesses if
11016 there are global differences in the distributions between the user-defined
11017 groups.")
11018 (license license:gpl3+)))
11019
11020 (define-public r-yarn
11021 (package
11022 (name "r-yarn")
11023 (version "1.22.0")
11024 (source
11025 (origin
11026 (method url-fetch)
11027 (uri (bioconductor-uri "yarn" version))
11028 (sha256
11029 (base32
11030 "0z5202pqq02fwm8qf1g36004k7sv668s1xacbpr1cvw5sl452lbg"))))
11031 (build-system r-build-system)
11032 (propagated-inputs
11033 (list r-biobase
11034 r-biomart
11035 r-downloader
11036 r-edger
11037 r-gplots
11038 r-limma
11039 r-matrixstats
11040 r-preprocesscore
11041 r-quantro
11042 r-rcolorbrewer
11043 r-readr))
11044 (native-inputs
11045 (list r-knitr))
11046 (home-page "https://bioconductor.org/packages/yarn/")
11047 (synopsis "Robust multi-condition RNA-Seq preprocessing and normalization")
11048 (description
11049 "Expedite large RNA-Seq analyses using a combination of previously
11050 developed tools. YARN is meant to make it easier for the user in performing
11051 basic mis-annotation quality control, filtering, and condition-aware
11052 normalization. YARN leverages many Bioconductor tools and statistical
11053 techniques to account for the large heterogeneity and sparsity found in very
11054 large RNA-seq experiments.")
11055 (license license:artistic2.0)))
11056
11057 (define-public r-roar
11058 (package
11059 (name "r-roar")
11060 (version "1.32.0")
11061 (source
11062 (origin
11063 (method url-fetch)
11064 (uri (bioconductor-uri "roar" version))
11065 (sha256
11066 (base32
11067 "0zq1praf5h9294cvmrb06l3chx8v40xw2sfvhlnh1516x9sjkwfc"))))
11068 (build-system r-build-system)
11069 (propagated-inputs
11070 (list r-biocgenerics
11071 r-genomeinfodb
11072 r-genomicalignments
11073 r-genomicranges
11074 r-iranges
11075 r-rtracklayer
11076 r-s4vectors
11077 r-summarizedexperiment))
11078 (home-page "https://github.com/vodkatad/roar/")
11079 (synopsis "Identify differential APA usage from RNA-seq alignments")
11080 (description
11081 "This package provides tools for identifying preferential usage of APA
11082 sites, comparing two biological conditions, starting from known alternative
11083 sites and alignments obtained from standard RNA-seq experiments.")
11084 (license license:gpl3)))
11085
11086 (define-public r-xbseq
11087 (package
11088 (name "r-xbseq")
11089 (version "1.22.0")
11090 (source
11091 (origin
11092 (method url-fetch)
11093 (uri (bioconductor-uri "XBSeq" version))
11094 (sha256
11095 (base32
11096 "1dvk2jpsdynqw5071z54yd5j0ddprhc1ppk834cz9liibd72d7vz"))))
11097 (properties `((upstream-name . "XBSeq")))
11098 (build-system r-build-system)
11099 (propagated-inputs
11100 (list r-biobase
11101 r-deseq2
11102 r-dplyr
11103 r-ggplot2
11104 r-locfit
11105 r-magrittr
11106 r-matrixstats
11107 r-pracma
11108 r-roar))
11109 (native-inputs
11110 (list r-knitr))
11111 (home-page "https://github.com/Liuy12/XBSeq")
11112 (synopsis "Test for differential expression for RNA-seq data")
11113 (description
11114 "XBSeq is a novel algorithm for testing RNA-seq @dfn{differential
11115 expression} (DE), where a statistical model was established based on the
11116 assumption that observed signals are the convolution of true expression
11117 signals and sequencing noises. The mapped reads in non-exonic regions are
11118 considered as sequencing noises, which follows a Poisson distribution. Given
11119 measurable observed signal and background noise from RNA-seq data, true
11120 expression signals, assuming governed by the negative binomial distribution,
11121 can be delineated and thus the accurate detection of differential expressed
11122 genes.")
11123 (license license:gpl3+)))
11124
11125 (define-public r-massspecwavelet
11126 (package
11127 (name "r-massspecwavelet")
11128 (version "1.62.0")
11129 (source
11130 (origin
11131 (method url-fetch)
11132 (uri (bioconductor-uri "MassSpecWavelet" version))
11133 (sha256
11134 (base32
11135 "0g9izdy3f7h1zmsfbq45ahdz0ak5013rp3vxc4ijb1mpqx8ldd39"))))
11136 (properties
11137 `((upstream-name . "MassSpecWavelet")))
11138 (build-system r-build-system)
11139 (native-inputs
11140 (list r-knitr))
11141 (home-page "https://bioconductor.org/packages/MassSpecWavelet/")
11142 (synopsis "Mass spectrum processing by wavelet-based algorithms")
11143 (description
11144 "The MassSpecWavelet package aims to process @dfn{Mass Spectrometry} (MS)
11145 data mainly through the use of wavelet transforms. It supports peak detection
11146 based on @dfn{Continuous Wavelet Transform} (CWT).")
11147 (license license:lgpl2.0+)))
11148
11149 (define-public r-xcms
11150 (package
11151 (name "r-xcms")
11152 (version "3.18.0")
11153 (source
11154 (origin
11155 (method url-fetch)
11156 (uri (bioconductor-uri "xcms" version))
11157 (sha256
11158 (base32
11159 "0p2zd2728lj5q8y24gdfvsjijd6zl2i73hrcf017n32jq7vn71xm"))))
11160 (build-system r-build-system)
11161 (propagated-inputs
11162 (list r-biobase
11163 r-biocgenerics
11164 r-biocparallel
11165 r-iranges
11166 r-lattice
11167 r-massspecwavelet
11168 r-mscoreutils
11169 r-msfeatures
11170 r-msnbase
11171 r-mzr
11172 r-plyr
11173 r-protgenerics
11174 r-rann
11175 r-rcolorbrewer
11176 r-robustbase
11177 r-s4vectors
11178 r-summarizedexperiment))
11179 (native-inputs
11180 (list r-knitr))
11181 (home-page "https://bioconductor.org/packages/xcms/")
11182 (synopsis "LC/MS and GC/MS mass spectrometry data analysis")
11183 (description
11184 "This package provides a framework for processing and visualization of
11185 chromatographically separated and single-spectra mass spectral data. It
11186 imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. It preprocesses
11187 data for high-throughput, untargeted analyte profiling.")
11188 (license license:gpl2+)))
11189
11190 (define-public r-wppi
11191 (package
11192 (name "r-wppi")
11193 (version "1.4.0")
11194 (source (origin
11195 (method url-fetch)
11196 (uri (bioconductor-uri "wppi" version))
11197 (sha256
11198 (base32
11199 "1008s39bb7sd261cy1vfgdah7bmhfw9qq322fh7g4wvpfw63ii9f"))))
11200 (properties `((upstream-name . "wppi")))
11201 (build-system r-build-system)
11202 ;; This is necessary because omnipathr attempts to write a configuration
11203 ;; file to HOME.
11204 (arguments
11205 `(#:phases
11206 (modify-phases %standard-phases
11207 (add-after 'unpack 'set-HOME
11208 (lambda _ (setenv "HOME" "/tmp"))))))
11209 (propagated-inputs (list r-dplyr
11210 r-igraph
11211 r-logger
11212 r-magrittr
11213 r-matrix
11214 r-omnipathr
11215 r-progress
11216 r-purrr
11217 r-rcurl
11218 r-rlang
11219 r-tibble
11220 r-tidyr))
11221 (native-inputs (list r-knitr))
11222 (home-page "https://github.com/AnaGalhoz37/wppi")
11223 (synopsis "Weighting protein-protein interactions")
11224 (description
11225 "This package predicts functional relevance of protein-protein
11226 interactions based on functional annotations such as Human Protein Ontology
11227 and Gene Ontology, and prioritizes genes based on network topology, functional
11228 scores and a path search algorithm.")
11229 (license license:expat)))
11230
11231 (define-public r-wrench
11232 (package
11233 (name "r-wrench")
11234 (version "1.14.0")
11235 (source
11236 (origin
11237 (method url-fetch)
11238 (uri (bioconductor-uri "Wrench" version))
11239 (sha256
11240 (base32
11241 "1zx65s4m71wj85s2sq8ip54pq12r4sxfv8b2rxc41gfc5aj0zzca"))))
11242 (properties `((upstream-name . "Wrench")))
11243 (build-system r-build-system)
11244 (propagated-inputs
11245 (list r-limma r-locfit r-matrixstats))
11246 (native-inputs
11247 (list r-knitr))
11248 (home-page "https://github.com/HCBravoLab/Wrench")
11249 (synopsis "Wrench normalization for sparse count data")
11250 (description
11251 "Wrench is a package for normalization sparse genomic count data, like
11252 that arising from 16s metagenomic surveys.")
11253 (license license:artistic2.0)))
11254
11255 (define-public r-wiggleplotr
11256 (package
11257 (name "r-wiggleplotr")
11258 (version "1.20.0")
11259 (source
11260 (origin
11261 (method url-fetch)
11262 (uri (bioconductor-uri "wiggleplotr" version))
11263 (sha256
11264 (base32
11265 "0s128mm5w8n072k6j0fv1mxnxjpwisjp5lpz8a9z96cnn69bnr0i"))))
11266 (build-system r-build-system)
11267 (propagated-inputs
11268 (list r-assertthat
11269 r-cowplot
11270 r-dplyr
11271 r-genomeinfodb
11272 r-genomicranges
11273 r-ggplot2
11274 r-iranges
11275 r-purrr
11276 r-rtracklayer
11277 r-s4vectors))
11278 (native-inputs
11279 (list r-knitr))
11280 (home-page "https://bioconductor.org/packages/wiggleplotr/")
11281 (synopsis "Make read coverage plots from BigWig files")
11282 (description
11283 "This package provides tools to visualize read coverage from sequencing
11284 experiments together with genomic annotations (genes, transcripts, peaks).
11285 Introns of long transcripts can be rescaled to a fixed length for better
11286 visualization of exonic read coverage.")
11287 (license license:asl2.0)))
11288
11289 (define-public r-widgettools
11290 (package
11291 (name "r-widgettools")
11292 (version "1.74.0")
11293 (source
11294 (origin
11295 (method url-fetch)
11296 (uri (bioconductor-uri "widgetTools" version))
11297 (sha256
11298 (base32
11299 "10w1s5h4za6ibmphvj145ir3lp22qgah2z8fvmipmf8ciq1jf86d"))))
11300 (properties `((upstream-name . "widgetTools")))
11301 (build-system r-build-system)
11302 (home-page "https://bioconductor.org/packages/widgetTools/")
11303 (synopsis "Tools for creating interactive tcltk widgets")
11304 (description
11305 "This package contains tools to support the construction of tcltk
11306 widgets in R.")
11307 ;; Any version of the LGPL.
11308 (license license:lgpl3+)))
11309
11310 (define-public r-webbioc
11311 (package
11312 (name "r-webbioc")
11313 (version "1.68.0")
11314 (source
11315 (origin
11316 (method url-fetch)
11317 (uri (bioconductor-uri "webbioc" version))
11318 (sha256
11319 (base32
11320 "1g3srxsa2fqcn3r4wz4y19fwjmw3vawlcvdw6lbjdnvbgcafq1ah"))))
11321 (build-system r-build-system)
11322 (inputs
11323 (list netpbm perl))
11324 (propagated-inputs
11325 (list r-affy
11326 r-annaffy
11327 r-biobase
11328 r-biocmanager
11329 r-gcrma
11330 r-multtest
11331 r-qvalue
11332 r-vsn))
11333 (home-page "https://www.bioconductor.org/")
11334 (synopsis "Bioconductor web interface")
11335 (description
11336 "This package provides an integrated web interface for doing microarray
11337 analysis using several of the Bioconductor packages. It is intended to be
11338 deployed as a centralized bioinformatics resource for use by many users.
11339 Currently only Affymetrix oligonucleotide analysis is supported.")
11340 (license license:gpl2+)))
11341
11342 (define-public r-zinbwave
11343 (package
11344 (name "r-zinbwave")
11345 (version "1.18.0")
11346 (source
11347 (origin
11348 (method url-fetch)
11349 (uri (bioconductor-uri "zinbwave" version))
11350 (sha256
11351 (base32
11352 "0vpz721sciw5b4ypxj5lj8p53gwkpfwlwkn6k3y8i65zg80p1g6i"))))
11353 (build-system r-build-system)
11354 (propagated-inputs
11355 (list r-biocparallel
11356 r-edger
11357 r-genefilter
11358 r-matrix
11359 r-singlecellexperiment
11360 r-softimpute
11361 r-summarizedexperiment))
11362 (native-inputs
11363 (list r-knitr))
11364 (home-page "https://bioconductor.org/packages/zinbwave")
11365 (synopsis "Zero-inflated negative binomial model for RNA-seq data")
11366 (description "This package implements a general and flexible zero-inflated
11367 negative binomial model that can be used to provide a low-dimensional
11368 representations of single-cell RNA-seq data. The model accounts for zero
11369 inflation (dropouts), over-dispersion, and the count nature of the data.
11370 The model also accounts for the difference in library sizes and optionally
11371 for batch effects and/or other covariates, avoiding the need for pre-normalize
11372 the data.")
11373 (license license:artistic2.0)))
11374
11375 (define-public r-zfpkm
11376 (package
11377 (name "r-zfpkm")
11378 (version "1.18.0")
11379 (source
11380 (origin
11381 (method url-fetch)
11382 (uri (bioconductor-uri "zFPKM" version))
11383 (sha256
11384 (base32
11385 "1h7g553rgb5mkmmsp8dyqqs9n9x17xmmcg3iijhb54nyrr2j1mji"))))
11386 (properties `((upstream-name . "zFPKM")))
11387 (build-system r-build-system)
11388 (propagated-inputs
11389 (list r-checkmate r-dplyr r-ggplot2 r-summarizedexperiment r-tidyr))
11390 (native-inputs
11391 (list r-knitr))
11392 (home-page "https://github.com/ronammar/zFPKM/")
11393 (synopsis "Functions to facilitate zFPKM transformations")
11394 (description
11395 "This is a package to perform the zFPKM transform on RNA-seq FPKM data.
11396 This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID
11397 24215113).")
11398 (license license:gpl3)))
11399
11400 (define-public r-rbowtie2
11401 (package
11402 (name "r-rbowtie2")
11403 (version "2.2.0")
11404 (source
11405 (origin
11406 (method url-fetch)
11407 (uri (bioconductor-uri "Rbowtie2" version))
11408 (sha256
11409 (base32
11410 "0dhdx27vrkhd4fak0qb5q9amlcpi97xhf3ry39zk0ifx5zpjynkg"))))
11411 (properties `((upstream-name . "Rbowtie2")))
11412 (build-system r-build-system)
11413 (propagated-inputs
11414 (list r-magrittr r-rsamtools))
11415 (inputs
11416 (list samtools zlib))
11417 (native-inputs
11418 (list r-knitr))
11419 (home-page "https://bioconductor.org/packages/Rbowtie2/")
11420 (synopsis "R wrapper for Bowtie2 and AdapterRemoval")
11421 (description
11422 "This package provides an R wrapper of the popular @code{bowtie2}
11423 sequencing reads aligner and @code{AdapterRemoval}, a convenient tool for
11424 rapid adapter trimming, identification, and read merging.")
11425 (license license:gpl3+)))
11426
11427 (define-public r-progeny
11428 (package
11429 (name "r-progeny")
11430 (version "1.18.0")
11431 (source
11432 (origin
11433 (method url-fetch)
11434 (uri (bioconductor-uri "progeny" version))
11435 (sha256
11436 (base32
11437 "1rhy2l2yf9ndxlvff8756s6n8qyi42nz7a75lgygj5aqqckkj21b"))))
11438 (build-system r-build-system)
11439 (propagated-inputs
11440 (list r-biobase
11441 r-decoupler
11442 r-dplyr
11443 r-ggplot2
11444 r-ggrepel
11445 r-gridextra
11446 r-reshape2
11447 r-tidyr))
11448 (native-inputs
11449 (list r-knitr))
11450 (home-page "https://github.com/saezlab/progeny")
11451 (synopsis "Pathway responsive gene activity inference")
11452 (description
11453 "This package provides a function to infer pathway activity from gene
11454 expression. It contains the linear model inferred in the publication
11455 \"Perturbation-response genes reveal signaling footprints in cancer gene
11456 expression\".")
11457 (license license:asl2.0)))
11458
11459 (define-public r-arrmnormalization
11460 (package
11461 (name "r-arrmnormalization")
11462 (version "1.36.0")
11463 (source
11464 (origin
11465 (method url-fetch)
11466 (uri (bioconductor-uri "ARRmNormalization" version))
11467 (sha256
11468 (base32
11469 "1pnvw8psbql787m8lrmhd9xbmgkc3dbc70yfds1aggv50dk3yjk1"))))
11470 (properties
11471 `((upstream-name . "ARRmNormalization")))
11472 (build-system r-build-system)
11473 (propagated-inputs (list r-arrmdata))
11474 (home-page "https://bioconductor.org/packages/ARRmNormalization/")
11475 (synopsis "Adaptive robust regression normalization for methylation data")
11476 (description
11477 "This is a package to perform the @dfn{Adaptive Robust Regression
11478 method} (ARRm) for the normalization of methylation data from the Illumina
11479 Infinium HumanMethylation 450k assay.")
11480 (license license:artistic2.0)))
11481
11482 (define-public r-biocfilecache
11483 (package
11484 (name "r-biocfilecache")
11485 (version "2.4.0")
11486 (source
11487 (origin
11488 (method url-fetch)
11489 (uri (bioconductor-uri "BiocFileCache" version))
11490 (sha256
11491 (base32
11492 "1bdbmlixrd8wvs25nmzdksq5hwnsxf8b6ds9qwx01h284vky5vsw"))))
11493 (properties `((upstream-name . "BiocFileCache")))
11494 (build-system r-build-system)
11495 (propagated-inputs
11496 (list r-curl
11497 r-dbi
11498 r-dbplyr
11499 r-dplyr
11500 r-filelock
11501 r-httr
11502 r-rappdirs
11503 r-rsqlite))
11504 (native-inputs
11505 (list r-knitr))
11506 (home-page "https://bioconductor.org/packages/BiocFileCache/")
11507 (synopsis "Manage files across sessions")
11508 (description
11509 "This package creates a persistent on-disk cache of files that the user
11510 can add, update, and retrieve. It is useful for managing resources (such as
11511 custom Txdb objects) that are costly or difficult to create, web resources,
11512 and data files used across sessions.")
11513 (license license:artistic2.0)))
11514
11515 (define-public r-iclusterplus
11516 (package
11517 (name "r-iclusterplus")
11518 (version "1.32.0")
11519 (source
11520 (origin
11521 (method url-fetch)
11522 (uri (bioconductor-uri "iClusterPlus" version))
11523 (sha256
11524 (base32
11525 "0xzx3vly3p99zc5a69pra4jjp8d3bdhx7dl1l76w459cs58zy0sm"))))
11526 (properties `((upstream-name . "iClusterPlus")))
11527 (build-system r-build-system)
11528 (native-inputs (list gfortran))
11529 (home-page "https://bioconductor.org/packages/iClusterPlus/")
11530 (synopsis "Integrative clustering of multi-type genomic data")
11531 (description
11532 "iClusterPlus is developed for integrative clustering analysis of
11533 multi-type genomic data and is an enhanced version of iCluster proposed and
11534 developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise
11535 from the experiments where biological samples (e.g. tumor samples) are
11536 analyzed by multiple techniques, for instance, @dfn{array comparative genomic
11537 hybridization} (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so
11538 on. In the iClusterPlus model, binary observations such as somatic mutation
11539 are modeled as Binomial processes; categorical observations such as copy
11540 number states are realizations of Multinomial random variables; counts are
11541 modeled as Poisson random processes; and continuous measures are modeled by
11542 Gaussian distributions.")
11543 (license license:gpl2+)))
11544
11545 (define-public r-rbowtie
11546 (package
11547 (name "r-rbowtie")
11548 (version "1.36.0")
11549 (source
11550 (origin
11551 (method url-fetch)
11552 (uri (bioconductor-uri "Rbowtie" version))
11553 (sha256
11554 (base32
11555 "1ya1irwshsyy9l1fj51b04nv1ahq7a47ck7q19h2cly6yskc4x1q"))))
11556 (properties `((upstream-name . "Rbowtie")))
11557 (build-system r-build-system)
11558 (arguments
11559 `(#:phases
11560 ;; Disable unsupported `popcnt' instructions on
11561 ;; architectures other than x86_64
11562 ,(if (string-prefix? "x86_64"
11563 (or (%current-target-system)
11564 (%current-system)))
11565 '%standard-phases
11566 '(modify-phases %standard-phases
11567 (add-after 'unpack 'patch-sources
11568 (lambda _
11569 (setenv "POPCNT_CAPABILITY" "0")))))))
11570 (inputs (list zlib))
11571 (native-inputs
11572 (list r-knitr))
11573 (home-page "https://bioconductor.org/packages/Rbowtie/")
11574 (synopsis "R bowtie wrapper")
11575 (description
11576 "This package provides an R wrapper around the popular bowtie short read
11577 aligner and around SpliceMap, a de novo splice junction discovery and
11578 alignment tool.")
11579 (license license:artistic2.0)))
11580
11581 (define-public r-sgseq
11582 (package
11583 (name "r-sgseq")
11584 (version "1.30.0")
11585 (source
11586 (origin
11587 (method url-fetch)
11588 (uri (bioconductor-uri "SGSeq" version))
11589 (sha256
11590 (base32
11591 "0hz45367i70wl97silnimicdvs3g41zyf8syc6igz6471wbwkxwp"))))
11592 (properties `((upstream-name . "SGSeq")))
11593 (build-system r-build-system)
11594 (propagated-inputs
11595 (list r-annotationdbi
11596 r-biocgenerics
11597 r-biostrings
11598 r-genomeinfodb
11599 r-genomicalignments
11600 r-genomicfeatures
11601 r-genomicranges
11602 r-igraph
11603 r-iranges
11604 r-rsamtools
11605 r-rtracklayer
11606 r-runit
11607 r-s4vectors
11608 r-summarizedexperiment))
11609 (native-inputs
11610 (list r-knitr))
11611 (home-page "https://bioconductor.org/packages/SGSeq/")
11612 (synopsis "Splice event prediction and quantification from RNA-seq data")
11613 (description
11614 "SGSeq is a package for analyzing splice events from RNA-seq data. Input
11615 data are RNA-seq reads mapped to a reference genome in BAM format. Genes are
11616 represented as a splice graph, which can be obtained from existing annotation
11617 or predicted from the mapped sequence reads. Splice events are identified
11618 from the graph and are quantified locally using structurally compatible reads
11619 at the start or end of each splice variant. The software includes functions
11620 for splice event prediction, quantification, visualization and
11621 interpretation.")
11622 (license license:artistic2.0)))
11623
11624 (define-public r-rhisat2
11625 (package
11626 (name "r-rhisat2")
11627 (version "1.12.0")
11628 (source
11629 (origin
11630 (method url-fetch)
11631 (uri (bioconductor-uri "Rhisat2" version))
11632 (sha256
11633 (base32
11634 "0hzair41l47kzykymd169a34pfhb98vrjgkgdf15m17csyz7pnv7"))))
11635 (properties `((upstream-name . "Rhisat2")))
11636 (build-system r-build-system)
11637 (arguments
11638 `(#:phases
11639 (modify-phases %standard-phases
11640 (add-after 'unpack 'make-reproducible
11641 (lambda _
11642 (substitute* "src/Makefile"
11643 (("`hostname`") "guix")
11644 (("`date`") "0")
11645 ;; Avoid shelling out to "which".
11646 (("^CC =.*") (which "gcc"))
11647 (("^CPP =.*") (which "g++")))
11648 #t)))))
11649 (propagated-inputs
11650 (list r-genomicfeatures r-genomicranges r-sgseq))
11651 (native-inputs
11652 (list r-knitr))
11653 (home-page "https://github.com/fmicompbio/Rhisat2")
11654 (synopsis "R Wrapper for HISAT2 sequence aligner")
11655 (description
11656 "This package provides an R interface to the HISAT2 spliced short-read
11657 aligner by Kim et al. (2015). The package contains wrapper functions to
11658 create a genome index and to perform the read alignment to the generated
11659 index.")
11660 (license license:gpl3)))
11661
11662 (define-public r-quasr
11663 (package
11664 (name "r-quasr")
11665 (version "1.36.0")
11666 (source
11667 (origin
11668 (method url-fetch)
11669 (uri (bioconductor-uri "QuasR" version))
11670 (sha256
11671 (base32
11672 "1m0c0rdakkdn4rr6dh51c6rs40cbxkvz93n6s0m2kc6fqjv9zplf"))))
11673 (properties `((upstream-name . "QuasR")))
11674 (build-system r-build-system)
11675 (propagated-inputs
11676 (list r-annotationdbi
11677 r-biobase
11678 r-biocgenerics
11679 r-biocparallel
11680 r-biostrings
11681 r-bsgenome
11682 r-genomeinfodb
11683 r-genomicfeatures
11684 r-genomicfiles
11685 r-genomicranges
11686 r-iranges
11687 r-rbowtie
11688 r-rhtslib
11689 r-rsamtools
11690 r-rtracklayer
11691 r-s4vectors
11692 r-shortread))
11693 (native-inputs
11694 (list r-knitr))
11695 (home-page "https://bioconductor.org/packages/QuasR/")
11696 (synopsis "Quantify and annotate short reads in R")
11697 (description
11698 "This package provides a framework for the quantification and analysis of
11699 short genomic reads. It covers a complete workflow starting from raw sequence
11700 reads, over creation of alignments and quality control plots, to the
11701 quantification of genomic regions of interest.")
11702 (license license:gpl2)))
11703
11704 (define-public r-rqc
11705 (package
11706 (name "r-rqc")
11707 (version "1.30.0")
11708 (source
11709 (origin
11710 (method url-fetch)
11711 (uri (bioconductor-uri "Rqc" version))
11712 (sha256
11713 (base32
11714 "11j8m69zdcmpjb3xzr4s8sqmv8aqgl8q7k81gnd09l3nyjzy0h1k"))))
11715 (properties `((upstream-name . "Rqc")))
11716 (build-system r-build-system)
11717 (propagated-inputs
11718 (list r-biocgenerics
11719 r-biocparallel
11720 r-biocstyle
11721 r-biostrings
11722 r-biovizbase
11723 r-genomicalignments
11724 r-genomicfiles
11725 r-ggplot2
11726 r-iranges
11727 r-knitr
11728 r-markdown
11729 r-plyr
11730 r-rcpp
11731 r-reshape2
11732 r-rsamtools
11733 r-s4vectors
11734 r-shiny
11735 r-shortread))
11736 (native-inputs
11737 (list r-knitr))
11738 (home-page "https://github.com/labbcb/Rqc")
11739 (synopsis "Quality control tool for high-throughput sequencing data")
11740 (description
11741 "Rqc is an optimized tool designed for quality control and assessment of
11742 high-throughput sequencing data. It performs parallel processing of entire
11743 files and produces a report which contains a set of high-resolution
11744 graphics.")
11745 (license license:gpl2+)))
11746
11747 (define-public r-birewire
11748 (package
11749 (name "r-birewire")
11750 (version "3.28.0")
11751 (source
11752 (origin
11753 (method url-fetch)
11754 (uri (bioconductor-uri "BiRewire" version))
11755 (sha256
11756 (base32
11757 "0r3i7n45qgj8wzdsx8wmfk0lc4xbcvxvmfziiqzig7r706q2c2hm"))))
11758 (properties `((upstream-name . "BiRewire")))
11759 (build-system r-build-system)
11760 (propagated-inputs
11761 (list r-igraph r-matrix r-rtsne r-slam))
11762 (home-page "https://bioconductor.org/packages/release/bioc/html/BiRewire.html")
11763 (synopsis "Tools for randomization of bipartite graphs")
11764 (description
11765 "This package provides functions for bipartite network rewiring through N
11766 consecutive switching steps and for the computation of the minimal number of
11767 switching steps to be performed in order to maximise the dissimilarity with
11768 respect to the original network. It includes functions for the analysis of
11769 the introduced randomness across the switching steps and several other
11770 routines to analyse the resulting networks and their natural projections.")
11771 (license license:gpl3)))
11772
11773 (define-public r-birta
11774 (package
11775 (name "r-birta")
11776 (version "1.31.0")
11777 (source
11778 (origin
11779 (method url-fetch)
11780 (uri (bioconductor-uri "birta" version))
11781 (sha256
11782 (base32
11783 "00a1kcfmcgdbx6wpnhk45wm45bynhry5m93l9hm75j2rwyc4lnca"))))
11784 (build-system r-build-system)
11785 (propagated-inputs
11786 (list r-biobase r-limma r-mass))
11787 (home-page "https://bioconductor.org/packages/birta")
11788 (synopsis "Bayesian inference of regulation of transcriptional activity")
11789 (description
11790 "Expression levels of mRNA molecules are regulated by different
11791 processes, comprising inhibition or activation by transcription factors and
11792 post-transcriptional degradation by microRNAs. @dfn{birta} (Bayesian
11793 Inference of Regulation of Transcriptional Activity) uses the regulatory
11794 networks of transcription factors and miRNAs together with mRNA and miRNA
11795 expression data to predict switches in regulatory activity between two
11796 conditions. A Bayesian network is used to model the regulatory structure and
11797 Markov-Chain-Monte-Carlo is applied to sample the activity states.")
11798 (license license:gpl2+)))
11799
11800 (define-public r-multidataset
11801 (package
11802 (name "r-multidataset")
11803 (version "1.24.0")
11804 (source
11805 (origin
11806 (method url-fetch)
11807 (uri (bioconductor-uri "MultiDataSet" version))
11808 (sha256
11809 (base32
11810 "0rfs6jkzh1i4mj1pgfk4lwzmcl8pcwizra3q3282x3d8h2g98qnf"))))
11811 (properties `((upstream-name . "MultiDataSet")))
11812 (build-system r-build-system)
11813 (propagated-inputs
11814 (list r-biobase
11815 r-biocgenerics
11816 r-genomicranges
11817 r-ggplot2
11818 r-ggrepel
11819 r-iranges
11820 r-limma
11821 r-qqman
11822 r-s4vectors
11823 r-summarizedexperiment))
11824 (native-inputs
11825 (list r-knitr))
11826 (home-page "https://bioconductor.org/packages/MultiDataSet/")
11827 (synopsis "Implementation of MultiDataSet and ResultSet")
11828 (description
11829 "This package provides an implementation of the BRGE's (Bioinformatic
11830 Research Group in Epidemiology from Center for Research in Environmental
11831 Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for
11832 integrating multi omics data sets and ResultSet is a container for omics
11833 results. This package contains base classes for MEAL and rexposome
11834 packages.")
11835 (license license:expat)))
11836
11837 (define-public r-ropls
11838 (package
11839 (name "r-ropls")
11840 (version "1.28.2")
11841 (source
11842 (origin
11843 (method url-fetch)
11844 (uri (bioconductor-uri "ropls" version))
11845 (sha256
11846 (base32
11847 "07gpx15r8c3wljiwxnff2zp7wxbhzz9r7njk8zg8hpy2q5qm3i6c"))))
11848 (build-system r-build-system)
11849 (propagated-inputs
11850 (list r-biobase
11851 r-multiassayexperiment
11852 r-multidataset
11853 r-summarizedexperiment))
11854 (native-inputs
11855 (list r-knitr)) ; for vignettes
11856 (home-page "https://dx.doi.org/10.1021/acs.jproteome.5b00354")
11857 (synopsis "Multivariate analysis and feature selection of omics data")
11858 (description
11859 "Latent variable modeling with @dfn{Principal Component Analysis} (PCA)
11860 and @dfn{Partial Least Squares} (PLS) are powerful methods for visualization,
11861 regression, classification, and feature selection of omics data where the
11862 number of variables exceeds the number of samples and with multicollinearity
11863 among variables. @dfn{Orthogonal Partial Least Squares} (OPLS) enables to
11864 separately model the variation correlated (predictive) to the factor of
11865 interest and the uncorrelated (orthogonal) variation. While performing
11866 similarly to PLS, OPLS facilitates interpretation.
11867
11868 This package provides imlementations of PCA, PLS, and OPLS for multivariate
11869 analysis and feature selection of omics data. In addition to scores, loadings
11870 and weights plots, the package provides metrics and graphics to determine the
11871 optimal number of components (e.g. with the R2 and Q2 coefficients), check the
11872 validity of the model by permutation testing, detect outliers, and perform
11873 feature selection (e.g. with Variable Importance in Projection or regression
11874 coefficients).")
11875 (license license:cecill)))
11876
11877 (define-public r-biosigner
11878 (package
11879 (name "r-biosigner")
11880 (version "1.24.2")
11881 (source
11882 (origin
11883 (method url-fetch)
11884 (uri (bioconductor-uri "biosigner" version))
11885 (sha256
11886 (base32
11887 "0vdv2by3qv7y8vzr8qgg7apwwgsa0fhlfrhzns7g3nas7883c89m"))))
11888 (build-system r-build-system)
11889 (propagated-inputs
11890 (list r-biobase
11891 r-e1071
11892 r-multiassayexperiment
11893 r-multidataset
11894 r-randomforest
11895 r-ropls
11896 r-summarizedexperiment))
11897 (native-inputs
11898 (list r-knitr))
11899 (home-page "https://bioconductor.org/packages/biosigner/")
11900 (synopsis "Signature discovery from omics data")
11901 (description
11902 "Feature selection is critical in omics data analysis to extract
11903 restricted and meaningful molecular signatures from complex and high-dimension
11904 data, and to build robust classifiers. This package implements a method to
11905 assess the relevance of the variables for the prediction performances of the
11906 classifier. The approach can be run in parallel with the PLS-DA, Random
11907 Forest, and SVM binary classifiers. The signatures and the corresponding
11908 'restricted' models are returned, enabling future predictions on new
11909 datasets.")
11910 (license license:cecill)))
11911
11912 (define-public r-annotatr
11913 (package
11914 (name "r-annotatr")
11915 (version "1.22.0")
11916 (source
11917 (origin
11918 (method url-fetch)
11919 (uri (bioconductor-uri "annotatr" version))
11920 (sha256
11921 (base32
11922 "1fbax9v3d486c8lwf3yfjbf4w7zf53wmdpxk2clwm8ngm7w0pqm0"))))
11923 (build-system r-build-system)
11924 (propagated-inputs
11925 (list r-annotationdbi
11926 r-annotationhub
11927 r-dplyr
11928 r-genomeinfodb
11929 r-genomicfeatures
11930 r-genomicranges
11931 r-ggplot2
11932 r-iranges
11933 r-readr
11934 r-regioner
11935 r-reshape2
11936 r-rtracklayer
11937 r-s4vectors))
11938 (native-inputs
11939 (list r-knitr))
11940 (home-page "https://bioconductor.org/packages/annotatr/")
11941 (synopsis "Annotation of genomic regions to genomic annotations")
11942 (description
11943 "Given a set of genomic sites/regions (e.g. ChIP-seq peaks, CpGs,
11944 differentially methylated CpGs or regions, SNPs, etc.) it is often of interest
11945 to investigate the intersecting genomic annotations. Such annotations include
11946 those relating to gene models (promoters, 5'UTRs, exons, introns, and 3'UTRs),
11947 CpGs (CpG islands, CpG shores, CpG shelves), or regulatory sequences such as
11948 enhancers. The annotatr package provides an easy way to summarize and
11949 visualize the intersection of genomic sites/regions with genomic
11950 annotations.")
11951 (license license:gpl3)))
11952
11953 (define-public r-rsubread
11954 (package
11955 (name "r-rsubread")
11956 (version "2.10.5")
11957 (source
11958 (origin
11959 (method url-fetch)
11960 (uri (bioconductor-uri "Rsubread" version))
11961 (sha256
11962 (base32
11963 "0n9qqbkj2lgxkia6kfpfz06wbc1lvw24qyvn88f48zw5nh0rsrs2"))))
11964 (properties `((upstream-name . "Rsubread")))
11965 (build-system r-build-system)
11966 (inputs (list zlib))
11967 (propagated-inputs
11968 (list r-matrix))
11969 (home-page "https://bioconductor.org/packages/Rsubread/")
11970 (synopsis "Subread sequence alignment and counting for R")
11971 (description
11972 "This package provides tools for alignment, quantification and analysis
11973 of second and third generation sequencing data. It includes functionality for
11974 read mapping, read counting, SNP calling, structural variant detection and
11975 gene fusion discovery. It can be applied to all major sequencing techologies
11976 and to both short and long sequence reads.")
11977 (license license:gpl3)))
11978
11979 (define-public r-flowutils
11980 (package
11981 (name "r-flowutils")
11982 (version "1.59.0")
11983 (source
11984 (origin
11985 (method url-fetch)
11986 (uri (bioconductor-uri "flowUtils" version))
11987 (sha256
11988 (base32
11989 "11x362dqb9mjlsbq6g1qkb8hhnkvm22z5s3wkgmpyy9kyifjkm26"))))
11990 (properties `((upstream-name . "flowUtils")))
11991 (build-system r-build-system)
11992 (propagated-inputs
11993 (list r-biobase
11994 r-corpcor
11995 r-flowcore
11996 r-graph
11997 r-runit
11998 r-xml))
11999 (home-page "https://github.com/jspidlen/flowUtils")
12000 (synopsis "Utilities for flow cytometry")
12001 (description
12002 "This package provides utilities for flow cytometry data.")
12003 (license license:artistic2.0)))
12004
12005 (define-public r-consensusclusterplus
12006 (package
12007 (name "r-consensusclusterplus")
12008 (version "1.60.0")
12009 (source
12010 (origin
12011 (method url-fetch)
12012 (uri (bioconductor-uri "ConsensusClusterPlus" version))
12013 (sha256
12014 (base32
12015 "1021cix4mr9qsafskw4kk1l3wdzx9pk2gcwjifz6f4zqxss9v07p"))))
12016 (properties
12017 `((upstream-name . "ConsensusClusterPlus")))
12018 (build-system r-build-system)
12019 (propagated-inputs
12020 (list r-all r-biobase r-cluster))
12021 (home-page "https://bioconductor.org/packages/ConsensusClusterPlus")
12022 (synopsis "Clustering algorithm")
12023 (description
12024 "This package provides an implementation of an algorithm for determining
12025 cluster count and membership by stability evidence in unsupervised analysis.")
12026 (license license:gpl2)))
12027
12028 ;; This is the latest commit and it solves a bug from the latest release.
12029 (define-public r-cycombine
12030 (let ((commit "f18504bc83ff5daee2b5eb4b28f09abdaaa66698") (revision "1"))
12031 (package
12032 (name "r-cycombine")
12033 (version (git-version "0.2.6" revision commit))
12034 (source (origin
12035 (method git-fetch)
12036 (uri (git-reference
12037 (url "https://github.com/biosurf/cyCombine")
12038 (commit commit)))
12039 (file-name (git-file-name name version))
12040 (sha256
12041 (base32
12042 "1fiwnik8iahg01732fik85xhz359x32f1xc59h443pdf7jancskm"))))
12043 (properties `((upstream-name . "cyCombine")))
12044 (build-system r-build-system)
12045 (propagated-inputs
12046 (list r-biobase
12047 r-cytolib
12048 r-dplyr
12049 r-flowcore
12050 r-ggplot2
12051 r-knitr
12052 r-kohonen
12053 r-magrittr
12054 r-purrr
12055 r-rcolorbrewer
12056 r-readr
12057 r-readxl
12058 r-stringr
12059 r-sva
12060 r-tibble
12061 r-tidyr))
12062 (native-inputs (list r-knitr))
12063 (home-page "https://github.com/biosurf/cyCombine")
12064 (synopsis "Integration of single-cell cytometry datasets")
12065 (description
12066 "This package provides a method for combining single-cell cytometry
12067 datasets, which increases the analytical flexibility and the statistical power
12068 of the analyses while minimizing technical noise.")
12069 (license license:expat))))
12070
12071 (define-public r-cytolib
12072 (package
12073 (name "r-cytolib")
12074 (version "2.8.0")
12075 (source
12076 (origin
12077 (method url-fetch)
12078 (uri (bioconductor-uri "cytolib" version))
12079 (sha256
12080 (base32
12081 "18b532sicca5l8sn334prrm7g1z1cakiwydccz4i833168pnsjyg"))))
12082 (properties `((upstream-name . "cytolib")))
12083 (build-system r-build-system)
12084 (native-inputs
12085 (list r-knitr))
12086 (propagated-inputs
12087 (list r-bh
12088 r-rcpp
12089 r-rcpparmadillo
12090 r-rcppparallel
12091 r-rhdf5lib
12092 r-rprotobuflib))
12093 (home-page "https://bioconductor.org/packages/cytolib/")
12094 (synopsis "C++ infrastructure for working with gated cytometry")
12095 (description
12096 "This package provides the core data structure and API to represent and
12097 interact with gated cytometry data.")
12098 (license license:artistic2.0)))
12099
12100 (define-public r-flowcore
12101 (package
12102 (name "r-flowcore")
12103 (version "2.8.0")
12104 (source
12105 (origin
12106 (method url-fetch)
12107 (uri (bioconductor-uri "flowCore" version))
12108 (sha256
12109 (base32
12110 "17nci6rc4i0vs0ibw5q8zy30ap7q4550qpq4ifkbblqbyzxlzkhr"))))
12111 (properties `((upstream-name . "flowCore")))
12112 (build-system r-build-system)
12113 (propagated-inputs
12114 (list r-bh
12115 r-biobase
12116 r-biocgenerics
12117 r-cytolib
12118 r-matrixstats
12119 r-rcpp
12120 r-rcpparmadillo
12121 r-rprotobuflib
12122 r-s4vectors))
12123 (native-inputs
12124 (list r-knitr))
12125 (home-page "https://bioconductor.org/packages/flowCore")
12126 (synopsis "Basic structures for flow cytometry data")
12127 (description
12128 "This package provides S4 data structures and basic functions to deal
12129 with flow cytometry data.")
12130 (license license:artistic2.0)))
12131
12132 (define-public r-flowmeans
12133 (package
12134 (name "r-flowmeans")
12135 (version "1.56.0")
12136 (source
12137 (origin
12138 (method url-fetch)
12139 (uri (bioconductor-uri "flowMeans" version))
12140 (sha256
12141 (base32
12142 "1n4li43ydwwf5gvgmdml4ba28cxymybg5wnz6jvp35n959fwxv6y"))))
12143 (properties `((upstream-name . "flowMeans")))
12144 (build-system r-build-system)
12145 (propagated-inputs
12146 (list r-biobase r-feature r-flowcore r-rrcov))
12147 (home-page "https://bioconductor.org/packages/flowMeans")
12148 (synopsis "Non-parametric flow cytometry data gating")
12149 (description
12150 "This package provides tools to identify cell populations in Flow
12151 Cytometry data using non-parametric clustering and segmented-regression-based
12152 change point detection.")
12153 (license license:artistic2.0)))
12154
12155 (define-public r-ncdfflow
12156 (package
12157 (name "r-ncdfflow")
12158 (version "2.42.1")
12159 (source
12160 (origin
12161 (method url-fetch)
12162 (uri (bioconductor-uri "ncdfFlow" version))
12163 (sha256
12164 (base32
12165 "0759xvkp22dnbhq5wpgvpk8p61w0d50r5jrbh9n7sj8sga4lvvv7"))))
12166 (properties `((upstream-name . "ncdfFlow")))
12167 (build-system r-build-system)
12168 (propagated-inputs
12169 (list r-bh
12170 r-biobase
12171 r-biocgenerics
12172 r-flowcore
12173 r-rcpp
12174 r-rcpparmadillo
12175 r-rhdf5lib
12176 r-zlibbioc))
12177 (native-inputs
12178 (list r-knitr))
12179 (home-page "https://bioconductor.org/packages/ncdfFlow/")
12180 (synopsis "HDF5 based storage for flow cytometry data")
12181 (description
12182 "This package provides HDF5 storage based methods and functions for
12183 manipulation of flow cytometry data.")
12184 (license license:artistic2.0)))
12185
12186 (define-public r-ggcyto
12187 (package
12188 (name "r-ggcyto")
12189 (version "1.24.1")
12190 (source
12191 (origin
12192 (method url-fetch)
12193 (uri (bioconductor-uri "ggcyto" version))
12194 (sha256
12195 (base32
12196 "1cw60x78vqzjmgb5xd3sxyz6zwdaffp3byk34z8d4b3wkh530325"))))
12197 (properties `((upstream-name . "ggcyto")))
12198 (build-system r-build-system)
12199 (propagated-inputs
12200 (list r-data-table
12201 r-flowcore
12202 r-flowworkspace
12203 r-ggplot2
12204 r-gridextra
12205 r-hexbin
12206 r-ncdfflow
12207 r-plyr
12208 r-rcolorbrewer
12209 r-rlang
12210 r-scales))
12211 (native-inputs
12212 (list r-knitr))
12213 (home-page "https://github.com/RGLab/ggcyto/issues")
12214 (synopsis "Visualize Cytometry data with ggplot")
12215 (description
12216 "With the dedicated fortify method implemented for @code{flowSet},
12217 @code{ncdfFlowSet} and @code{GatingSet} classes, both raw and gated flow
12218 cytometry data can be plotted directly with ggplot. The @code{ggcyto} wrapper
12219 and some custom layers also make it easy to add gates and population
12220 statistics to the plot.")
12221 (license license:artistic2.0)))
12222
12223 (define-public r-flowviz
12224 (package
12225 (name "r-flowviz")
12226 (version "1.60.2")
12227 (source
12228 (origin
12229 (method url-fetch)
12230 (uri (bioconductor-uri "flowViz" version))
12231 (sha256
12232 (base32
12233 "08rwzc26jns0wwjsqqmf60bpxsckr5x8skdn9iwl8grp81npcc95"))))
12234 (properties `((upstream-name . "flowViz")))
12235 (build-system r-build-system)
12236 (propagated-inputs
12237 (list r-biobase
12238 r-flowcore
12239 r-hexbin
12240 r-idpmisc
12241 r-kernsmooth
12242 r-lattice
12243 r-latticeextra
12244 r-mass
12245 r-rcolorbrewer))
12246 (native-inputs
12247 (list r-knitr))
12248 (home-page "https://bioconductor.org/packages/flowViz/")
12249 (synopsis "Visualization for flow cytometry")
12250 (description
12251 "This package provides visualization tools for flow cytometry data.")
12252 (license license:artistic2.0)))
12253
12254 (define-public r-flowclust
12255 (package
12256 (name "r-flowclust")
12257 (version "3.34.0")
12258 (source
12259 (origin
12260 (method url-fetch)
12261 (uri (bioconductor-uri "flowClust" version))
12262 (sha256
12263 (base32
12264 "055vm9s8aha92znhpjqkipzprw8bkrinwjaik4ygmhym7w6vbblk"))))
12265 (properties `((upstream-name . "flowClust")))
12266 (build-system r-build-system)
12267 (arguments
12268 `(#:configure-flags
12269 (list "--configure-args=--enable-bundled-gsl=no")))
12270 (propagated-inputs
12271 (list r-biobase
12272 r-biocgenerics
12273 r-flowcore
12274 r-graph))
12275 (inputs
12276 (list gsl))
12277 (native-inputs
12278 (list pkg-config r-knitr))
12279 (home-page "https://bioconductor.org/packages/flowClust")
12280 (synopsis "Clustering for flow cytometry")
12281 (description
12282 "This package provides robust model-based clustering using a t-mixture
12283 model with Box-Cox transformation.")
12284 (license license:artistic2.0)))
12285
12286 ;; TODO: this package bundles an old version of protobuf. It's not easy to
12287 ;; make it use our protobuf package instead.
12288 (define-public r-rprotobuflib
12289 (package
12290 (name "r-rprotobuflib")
12291 (version "2.8.0")
12292 (source
12293 (origin
12294 (method url-fetch)
12295 (uri (bioconductor-uri "RProtoBufLib" version))
12296 (sha256
12297 (base32
12298 "1mvqwrm1y0vij66gdwgpf5l1h660wsi9jzjfs4ihw3zm4cb0q5pp"))))
12299 (properties `((upstream-name . "RProtoBufLib")))
12300 (build-system r-build-system)
12301 (arguments
12302 `(#:phases
12303 (modify-phases %standard-phases
12304 (add-after 'unpack 'unpack-bundled-sources
12305 (lambda _
12306 (with-directory-excursion "src"
12307 (invoke "tar" "xf" "protobuf-3.8.0.tar.gz")))))))
12308 (native-inputs
12309 (list r-knitr))
12310 (home-page "https://bioconductor.org/packages/RProtoBufLib/")
12311 (synopsis "C++ headers and static libraries of Protocol buffers")
12312 (description
12313 "This package provides the headers and static library of Protocol buffers
12314 for other R packages to compile and link against.")
12315 (license license:bsd-3)))
12316
12317 (define-public r-flowworkspace
12318 (package
12319 (name "r-flowworkspace")
12320 (version "4.8.0")
12321 (source
12322 (origin
12323 (method url-fetch)
12324 (uri (bioconductor-uri "flowWorkspace" version))
12325 (sha256
12326 (base32
12327 "0riyi9628cx1j5x6hmdd28yq75xh25j8ckcdz8dnb94dpvnhaqss"))))
12328 (properties `((upstream-name . "flowWorkspace")))
12329 (build-system r-build-system)
12330 (propagated-inputs
12331 (list r-aws-s3
12332 r-aws-signature
12333 r-bh
12334 r-biobase
12335 r-biocgenerics
12336 r-cytolib
12337 r-data-table
12338 r-delayedarray
12339 r-digest
12340 r-dplyr
12341 r-flowcore
12342 r-ggplot2
12343 r-graph
12344 r-lattice
12345 r-latticeextra
12346 r-matrixstats
12347 r-ncdfflow
12348 r-rbgl
12349 r-rcpp
12350 r-rcpparmadillo
12351 r-rcppparallel
12352 r-rgraphviz
12353 r-rhdf5lib
12354 r-rprotobuflib
12355 r-s4vectors
12356 r-scales
12357 r-xml))
12358 (native-inputs
12359 (list r-knitr))
12360 (home-page "https://bioconductor.org/packages/flowWorkspace/")
12361 (synopsis "Infrastructure for working with cytometry data")
12362 (description
12363 "This package is designed to facilitate comparison of automated gating
12364 methods against manual gating done in flowJo. This package allows you to
12365 import basic flowJo workspaces into BioConductor and replicate the gating from
12366 flowJo using the @code{flowCore} functionality. Gating hierarchies, groups of
12367 samples, compensation, and transformation are performed so that the output
12368 matches the flowJo analysis.")
12369 (license license:artistic2.0)))
12370
12371 (define-public r-flowstats
12372 (package
12373 (name "r-flowstats")
12374 (version "4.8.2")
12375 (source
12376 (origin
12377 (method url-fetch)
12378 (uri (bioconductor-uri "flowStats" version))
12379 (sha256
12380 (base32
12381 "1x01gg5ifxh3wp0cp5a23lr9v6l9q5qg8145q2pgn904jkx5wldc"))))
12382 (properties `((upstream-name . "flowStats")))
12383 (build-system r-build-system)
12384 (propagated-inputs
12385 (list r-biobase
12386 r-biocgenerics
12387 r-cluster
12388 r-corpcor
12389 r-fda
12390 r-flowcore
12391 r-flowviz
12392 r-flowworkspace
12393 r-kernsmooth
12394 r-ks
12395 r-lattice
12396 r-mass
12397 r-mnormt
12398 r-ncdfflow
12399 r-rcolorbrewer
12400 r-rrcov))
12401 (home-page "http://www.github.com/RGLab/flowStats")
12402 (synopsis "Statistical methods for the analysis of flow cytometry data")
12403 (description
12404 "This package provides methods and functionality to analyze flow data
12405 that is beyond the basic infrastructure provided by the @code{flowCore}
12406 package.")
12407 (license license:artistic2.0)))
12408
12409 (define-public r-opencyto
12410 (package
12411 (name "r-opencyto")
12412 (version "2.8.4")
12413 (source
12414 (origin
12415 (method url-fetch)
12416 (uri (bioconductor-uri "openCyto" version))
12417 (sha256
12418 (base32
12419 "0fa3hbbrjw458dhmxdjypcjgyxmphp9kdr3r62qqf803i4wsxfk0"))))
12420 (properties `((upstream-name . "openCyto")))
12421 (build-system r-build-system)
12422 (propagated-inputs
12423 (list r-biobase
12424 r-biocgenerics
12425 r-clue
12426 r-data-table
12427 r-flowclust
12428 r-flowcore
12429 r-flowstats
12430 r-flowviz
12431 r-flowworkspace
12432 r-graph
12433 r-gtools
12434 r-ks
12435 r-lattice
12436 r-mass
12437 r-ncdfflow
12438 r-plyr
12439 r-r-utils
12440 r-rbgl
12441 r-rcolorbrewer
12442 r-rcpp
12443 r-rrcov))
12444 (native-inputs
12445 (list r-knitr))
12446 (home-page "https://bioconductor.org/packages/openCyto")
12447 (synopsis "Hierarchical gating pipeline for flow cytometry data")
12448 (description
12449 "This package is designed to facilitate the automated gating methods in a
12450 sequential way to mimic the manual gating strategy.")
12451 (license license:artistic2.0)))
12452
12453 (define-public r-cytoml
12454 (package
12455 (name "r-cytoml")
12456 (version "2.8.1")
12457 (source
12458 (origin
12459 (method url-fetch)
12460 (uri (bioconductor-uri "CytoML" version))
12461 (sha256
12462 (base32
12463 "01yzdljpyq92bv318b5qs29f190226zwbqjnckvxmbb0k8m7s5hw"))))
12464 (properties `((upstream-name . "CytoML")))
12465 (build-system r-build-system)
12466 (inputs
12467 (list libxml2 zlib))
12468 (propagated-inputs
12469 (list r-base64enc
12470 r-bh
12471 r-biobase
12472 r-corpcor
12473 r-cytolib
12474 r-data-table
12475 r-dplyr
12476 r-flowcore
12477 r-flowworkspace
12478 r-ggcyto
12479 r-graph
12480 r-jsonlite
12481 r-lattice
12482 r-opencyto
12483 r-plyr
12484 r-rbgl
12485 r-rcpp
12486 r-rcpparmadillo
12487 r-rcppparallel
12488 r-rgraphviz
12489 r-rhdf5lib
12490 r-rprotobuflib
12491 r-runit
12492 r-tibble
12493 r-xml
12494 r-xml2
12495 r-yaml))
12496 (native-inputs
12497 (list r-knitr))
12498 (home-page "https://github.com/RGLab/CytoML")
12499 (synopsis "GatingML interface for cross platform cytometry data sharing")
12500 (description
12501 "This package provides an interface to implementations of the GatingML2.0
12502 standard to exchange gated cytometry data with other software platforms.")
12503 (license license:artistic2.0)))
12504
12505 (define-public r-flowsom
12506 (package
12507 (name "r-flowsom")
12508 (version "2.4.0")
12509 (source
12510 (origin
12511 (method url-fetch)
12512 (uri (bioconductor-uri "FlowSOM" version))
12513 (sha256
12514 (base32
12515 "0balsds5mm981cqamdjv3ndq1y9arharisd6f2lrpkzgvwawa645"))))
12516 (properties `((upstream-name . "FlowSOM")))
12517 (build-system r-build-system)
12518 (propagated-inputs
12519 (list r-biocgenerics
12520 r-colorramps
12521 r-consensusclusterplus
12522 r-cytoml
12523 r-dplyr
12524 r-flowcore
12525 r-flowworkspace
12526 r-ggforce
12527 r-ggnewscale
12528 r-ggplot2
12529 r-ggpointdensity
12530 r-ggpubr
12531 r-ggrepel
12532 r-igraph
12533 r-magrittr
12534 r-pheatmap
12535 r-rcolorbrewer
12536 r-rlang
12537 r-rtsne
12538 r-scattermore
12539 r-tidyr
12540 r-xml))
12541 (home-page "https://bioconductor.org/packages/FlowSOM/")
12542 (synopsis "Visualize and interpret cytometry data")
12543 (description
12544 "FlowSOM offers visualization options for cytometry data, by using
12545 self-organizing map clustering and minimal spanning trees.")
12546 (license license:gpl2+)))
12547
12548 (define-public r-mixomics
12549 (package
12550 (name "r-mixomics")
12551 (version "6.20.0")
12552 (source
12553 (origin
12554 (method url-fetch)
12555 (uri (bioconductor-uri "mixOmics" version))
12556 (sha256
12557 (base32
12558 "0fwc2w7frj0bjijzfckkxf7ipx1z13gw7907q4zr5qfl9mh127w7"))))
12559 (properties `((upstream-name . "mixOmics")))
12560 (build-system r-build-system)
12561 (propagated-inputs
12562 (list r-biocparallel
12563 r-corpcor
12564 r-dplyr
12565 r-ellipse
12566 r-ggrepel
12567 r-ggplot2
12568 r-gridextra
12569 r-igraph
12570 r-lattice
12571 r-mass
12572 r-matrixstats
12573 r-rarpack
12574 r-rcolorbrewer
12575 r-reshape2
12576 r-tidyr))
12577 (native-inputs
12578 (list r-knitr))
12579 (home-page "http://www.mixOmics.org")
12580 (synopsis "Multivariate methods for exploration of biological datasets")
12581 (description
12582 "mixOmics offers a wide range of multivariate methods for the exploration
12583 and integration of biological datasets with a particular focus on variable
12584 selection. The package proposes several sparse multivariate models we have
12585 developed to identify the key variables that are highly correlated, and/or
12586 explain the biological outcome of interest. The data that can be analysed
12587 with mixOmics may come from high throughput sequencing technologies, such as
12588 omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but
12589 also beyond the realm of omics (e.g. spectral imaging). The methods
12590 implemented in mixOmics can also handle missing values without having to
12591 delete entire rows with missing data.")
12592 (license license:gpl2+)))
12593
12594 (define-public r-depecher
12595 (package ;Source/Weave error
12596 (name "r-depecher")
12597 (version "1.12.0")
12598 (source
12599 (origin
12600 (method url-fetch)
12601 (uri (bioconductor-uri "DepecheR" version))
12602 (sha256
12603 (base32
12604 "0rixczdds5gpac50wap6s68kmpdj4208l38gcihkrysz5frbvqjp"))))
12605 (properties `((upstream-name . "DepecheR")))
12606 (build-system r-build-system)
12607 (propagated-inputs
12608 (list r-beanplot
12609 r-dosnow
12610 r-dplyr
12611 r-fnn
12612 r-foreach
12613 r-ggplot2
12614 r-gmodels
12615 r-gplots
12616 r-mass
12617 r-matrixstats
12618 r-mixomics
12619 r-moments
12620 r-rcpp
12621 r-rcppeigen
12622 r-reshape2
12623 r-robustbase
12624 r-viridis))
12625 (native-inputs
12626 (list r-knitr))
12627 (home-page "https://bioconductor.org/packages/DepecheR/")
12628 (synopsis "Identify traits of clusters in high-dimensional entities")
12629 (description
12630 "The purpose of this package is to identify traits in a dataset that can
12631 separate groups. This is done on two levels. First, clustering is performed,
12632 using an implementation of sparse K-means. Secondly, the generated clusters
12633 are used to predict outcomes of groups of individuals based on their
12634 distribution of observations in the different clusters. As certain clusters
12635 with separating information will be identified, and these clusters are defined
12636 by a sparse number of variables, this method can reduce the complexity of
12637 data, to only emphasize the data that actually matters.")
12638 (license license:expat)))
12639
12640 (define-public r-rcistarget
12641 (package
12642 (name "r-rcistarget")
12643 (version "1.16.0")
12644 (source
12645 (origin
12646 (method url-fetch)
12647 (uri (bioconductor-uri "RcisTarget" version))
12648 (sha256
12649 (base32
12650 "17fnjkg6rjqj33v7slg81skqag10y6dc14g5iv69gqshjal4w4im"))))
12651 (properties `((upstream-name . "RcisTarget")))
12652 (build-system r-build-system)
12653 (propagated-inputs
12654 (list r-arrow
12655 r-aucell
12656 r-biocgenerics
12657 r-data-table
12658 r-dplyr
12659 r-genomeinfodb
12660 r-genomicranges
12661 r-gseabase
12662 r-r-utils
12663 r-s4vectors
12664 r-summarizedexperiment
12665 r-tibble))
12666 (native-inputs
12667 (list r-knitr))
12668 (home-page "https://aertslab.org/#scenic")
12669 (synopsis "Identify transcription factor binding motifs enriched on a gene list")
12670 (description
12671 "RcisTarget identifies @dfn{transcription factor binding motifs} (TFBS)
12672 over-represented on a gene list. In a first step, RcisTarget selects DNA
12673 motifs that are significantly over-represented in the surroundings of the
12674 @dfn{transcription start site} (TSS) of the genes in the gene-set. This is
12675 achieved by using a database that contains genome-wide cross-species rankings
12676 for each motif. The motifs that are then annotated to TFs and those that have
12677 a high @dfn{Normalized Enrichment Score} (NES) are retained. Finally, for
12678 each motif and gene-set, RcisTarget predicts the candidate target genes (i.e.
12679 genes in the gene-set that are ranked above the leading edge).")
12680 (license license:gpl3)))
12681
12682 (define-public r-chicago
12683 (package
12684 (name "r-chicago")
12685 (version "1.24.0")
12686 (source
12687 (origin
12688 (method url-fetch)
12689 (uri (bioconductor-uri "Chicago" version))
12690 (sha256
12691 (base32
12692 "13vzxmvxpc3r9gii37zvhhr5nbnaggrva97g6m2n02qn9daf6vmm"))))
12693 (properties `((upstream-name . "Chicago")))
12694 (build-system r-build-system)
12695 (propagated-inputs
12696 (list r-data-table r-delaporte r-hmisc r-mass r-matrixstats))
12697 (native-inputs (list r-knitr))
12698 (home-page "https://bioconductor.org/packages/Chicago")
12699 (synopsis "Capture Hi-C analysis of genomic organization")
12700 (description
12701 "This package provides a pipeline for analysing Capture Hi-C data.")
12702 (license license:artistic2.0)))
12703
12704 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
12705 ;; it here.
12706 (define-public r-ciara
12707 (package
12708 (name "r-ciara")
12709 (version "0.1.0")
12710 (source (origin
12711 (method url-fetch)
12712 (uri (cran-uri "CIARA" version))
12713 (sha256
12714 (base32
12715 "0nr7wks9231326x0lhpbh824c6vcb5hr5jn89s9bmg9mci907bsf"))))
12716 (properties `((upstream-name . "CIARA")))
12717 (build-system r-build-system)
12718 (propagated-inputs (list r-biobase r-ggplot2 r-ggraph r-magrittr))
12719 (native-inputs (list r-knitr))
12720 (home-page "https://cran.r-project.org/package=CIARA")
12721 (synopsis "Cluster-independent algorithm for rare cell types identification")
12722 (description
12723 "This is a package to support identification of markers of rare cell
12724 types by looking at genes whose expression is confined in small regions of the
12725 expression space.")
12726 (license license:artistic2.0)))
12727
12728 (define-public r-cicero
12729 (package
12730 (name "r-cicero")
12731 (version "1.14.0")
12732 (source
12733 (origin
12734 (method url-fetch)
12735 (uri (bioconductor-uri "cicero" version))
12736 (sha256
12737 (base32
12738 "1ip12ijazlmcfbym078slxykpkz7d1zwvs8l8aqdnqpxjfk1ipx5"))))
12739 (build-system r-build-system)
12740 (propagated-inputs
12741 (list r-assertthat
12742 r-biobase
12743 r-biocgenerics
12744 r-data-table
12745 r-dplyr
12746 r-fnn
12747 r-genomicranges
12748 r-ggplot2
12749 r-glasso
12750 r-gviz
12751 r-igraph
12752 r-iranges
12753 r-matrix
12754 r-monocle
12755 r-plyr
12756 r-reshape2
12757 r-s4vectors
12758 r-stringi
12759 r-stringr
12760 r-tibble
12761 r-tidyr
12762 r-vgam))
12763 (native-inputs
12764 (list r-knitr))
12765 (home-page "https://bioconductor.org/packages/cicero/")
12766 (synopsis "Predict cis-co-accessibility from single-cell data")
12767 (description
12768 "Cicero computes putative cis-regulatory maps from single-cell chromatin
12769 accessibility data. It also extends the monocle package for use in chromatin
12770 accessibility data.")
12771 (license license:expat)))
12772
12773 ;; This is the latest commit on the "monocle3" branch.
12774 (define-public r-cicero-monocle3
12775 (let ((commit "fa2fb6515857a8cfc88bc9af044f34de1bcd2b7b")
12776 (revision "1"))
12777 (package (inherit r-cicero)
12778 (name "r-cicero-monocle3")
12779 (version (git-version "1.3.2" revision commit))
12780 (source
12781 (origin
12782 (method git-fetch)
12783 (uri (git-reference
12784 (url "https://github.com/cole-trapnell-lab/cicero-release")
12785 (commit commit)))
12786 (file-name (git-file-name name version))
12787 (sha256
12788 (base32
12789 "077yza93wdhi08n40md20jwk55k9lw1f3y0063qkk90cpz60wi0c"))))
12790 (propagated-inputs
12791 (modify-inputs (package-propagated-inputs r-cicero)
12792 (delete "r-monocle")
12793 (prepend r-monocle3))))))
12794
12795 (define-public r-circrnaprofiler
12796 (package
12797 (name "r-circrnaprofiler")
12798 (version "1.10.0")
12799 (source
12800 (origin
12801 (method url-fetch)
12802 (uri (bioconductor-uri "circRNAprofiler" version))
12803 (sha256
12804 (base32
12805 "1gwm416shhv2p3gh1n6kv1rvx0n0imy25b7z62z4s8b3gs3nfp5j"))))
12806 (properties
12807 `((upstream-name . "circRNAprofiler")))
12808 (build-system r-build-system)
12809 (propagated-inputs
12810 (list r-annotationhub
12811 r-biostrings
12812 r-bsgenome
12813 r-bsgenome-hsapiens-ucsc-hg19
12814 r-deseq2
12815 r-dplyr
12816 r-edger
12817 r-genomeinfodb
12818 r-genomicranges
12819 r-ggplot2
12820 r-gwascat
12821 r-iranges
12822 r-magrittr
12823 r-r-utils
12824 r-readr
12825 r-reshape2
12826 r-rlang
12827 r-rtracklayer
12828 r-s4vectors
12829 r-seqinr
12830 r-stringi
12831 r-stringr
12832 r-universalmotif))
12833 (native-inputs
12834 (list r-knitr))
12835 (home-page
12836 "https://github.com/Aufiero/circRNAprofiler")
12837 (synopsis
12838 "Computational framework for the downstream analysis of circular RNA's")
12839 (description
12840 "@code{r-circrnaprofiler} is a computational framework for a comprehensive
12841 in silico analysis of @dfn{circular RNA} (circRNAs). This computational
12842 framework allows combining and analyzing circRNAs previously detected by
12843 multiple publicly available annotation-based circRNA detection tools. It
12844 covers different aspects of circRNAs analysis from differential expression
12845 analysis, evolutionary conservation, biogenesis to functional analysis.")
12846 (license license:gpl3)))
12847
12848 (define-public r-cistopic
12849 (package
12850 (name "r-cistopic")
12851 (version "2.1.0")
12852 (source
12853 (origin
12854 (method git-fetch)
12855 (uri (git-reference
12856 (url "https://github.com/aertslab/cisTopic")
12857 (commit (string-append "v" version))))
12858 (file-name (git-file-name name version))
12859 (sha256
12860 (base32
12861 "0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf"))))
12862 (build-system r-build-system)
12863 (propagated-inputs
12864 (list r-aucell
12865 r-data-table
12866 r-dplyr
12867 r-dosnow
12868 r-dt
12869 r-feather
12870 r-fitdistrplus
12871 r-genomicranges
12872 r-ggplot2
12873 r-lda
12874 r-matrix
12875 r-plyr
12876 r-rcistarget
12877 r-rtracklayer
12878 r-s4vectors))
12879 (home-page "https://github.com/aertslab/cisTopic")
12880 (synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
12881 (description
12882 "The sparse nature of single cell epigenomics data can be overruled using
12883 probabilistic modelling methods such as @dfn{Latent Dirichlet
12884 Allocation} (LDA). This package allows the probabilistic modelling of
12885 cis-regulatory topics (cisTopics) from single cell epigenomics data, and
12886 includes functionalities to identify cell states based on the contribution of
12887 cisTopics and explore the nature and regulatory proteins driving them.")
12888 (license license:gpl3)))
12889
12890 (define-public r-cistopic-next
12891 (let ((commit "04cecbb9d1112fcc1a6edc28b5a506bcb49f2803")
12892 (revision "1"))
12893 (package
12894 (inherit r-cistopic)
12895 (name "r-cistopic-next")
12896 ;; The DESCRIPTION file says this is version 0.3.0, which is a bit odd
12897 ;; since the previous release is 2.1.0. Oh well.
12898 (version (git-version "0.3.0" revision commit))
12899 (source
12900 (origin
12901 (method git-fetch)
12902 (uri (git-reference
12903 (url "https://github.com/aertslab/cisTopic")
12904 (commit commit)))
12905 (file-name (git-file-name name version))
12906 (sha256
12907 (base32
12908 "11cg9szlysnsjiaahda4k5v2vh4rxx27zhz53hafgaq9mdz0kgi2"))))
12909 (properties `((upstream-name . "cisTopic")))
12910 (propagated-inputs
12911 (list r-aucell
12912 r-data-table
12913 r-dosnow
12914 r-dplyr
12915 r-dt
12916 r-feather
12917 r-fitdistrplus
12918 r-genomicranges
12919 r-ggplot2
12920 r-lda
12921 r-matrix
12922 r-plyr
12923 r-rcistarget
12924 r-rtracklayer
12925 r-s4vectors
12926 r-text2vec))
12927 (native-inputs
12928 (list r-knitr)))))
12929
12930 (define-public r-genie3
12931 (package
12932 (name "r-genie3")
12933 (version "1.18.0")
12934 (source
12935 (origin
12936 (method url-fetch)
12937 (uri (bioconductor-uri "GENIE3" version))
12938 (sha256
12939 (base32
12940 "0h3vnpnznb9rda8gfwp4cnd2mqsvs1vzmfx90dchn5pqaphz1k2l"))))
12941 (properties `((upstream-name . "GENIE3")))
12942 (build-system r-build-system)
12943 (propagated-inputs
12944 (list r-dplyr r-reshape2))
12945 (native-inputs
12946 (list r-knitr))
12947 (home-page "https://bioconductor.org/packages/GENIE3")
12948 (synopsis "Gene network inference with ensemble of trees")
12949 (description
12950 "This package implements the GENIE3 algorithm for inferring gene
12951 regulatory networks from expression data.")
12952 (license license:gpl2+)))
12953
12954 (define-public r-roc
12955 (package
12956 (name "r-roc")
12957 (version "1.72.0")
12958 (source
12959 (origin
12960 (method url-fetch)
12961 (uri (bioconductor-uri "ROC" version))
12962 (sha256
12963 (base32
12964 "0yfq0d0j2bzqdnjs6l2h6p48kmv9wfphlqym3brgndlnadipq1v2"))))
12965 (properties `((upstream-name . "ROC")))
12966 (build-system r-build-system)
12967 (native-inputs
12968 (list r-knitr))
12969 (home-page "https://www.bioconductor.org/packages/ROC/")
12970 (synopsis "Utilities for ROC curves")
12971 (description
12972 "This package provides utilities for @dfn{Receiver Operating
12973 Characteristic} (ROC) curves, with a focus on micro arrays.")
12974 (license license:artistic2.0)))
12975
12976 (define-public r-watermelon
12977 (package
12978 (name "r-watermelon")
12979 (version "2.2.0")
12980 (source
12981 (origin
12982 (method url-fetch)
12983 (uri (bioconductor-uri "wateRmelon" version))
12984 (sha256
12985 (base32
12986 "0adqyfabrvfcaj3mwp0rbqlcgpj92yb205cyhibbrs5gdr5ri4pv"))))
12987 (properties `((upstream-name . "wateRmelon")))
12988 (build-system r-build-system)
12989 (propagated-inputs
12990 (list r-biobase
12991 r-illuminahumanmethylation450kanno-ilmn12-hg19
12992 r-illuminaio
12993 r-limma
12994 r-lumi
12995 r-matrixstats
12996 r-methylumi
12997 r-roc))
12998 (native-inputs
12999 (list r-knitr))
13000 (home-page "https://bioconductor.org/packages/wateRmelon/")
13001 (synopsis "Illumina 450 methylation array normalization and metrics")
13002 (description
13003 "The standard index of DNA methylation (beta) is computed from methylated
13004 and unmethylated signal intensities. Betas calculated from raw signal
13005 intensities perform well, but using 11 methylomic datasets we demonstrate that
13006 quantile normalization methods produce marked improvement. The commonly used
13007 procedure of normalizing betas is inferior to the separate normalization of M
13008 and U, and it is also advantageous to normalize Type I and Type II assays
13009 separately. This package provides 15 flavours of betas and three performance
13010 metrics, with methods for objects produced by the @code{methylumi} and
13011 @code{minfi} packages.")
13012 (license license:gpl3)))
13013
13014 (define-public r-gdsfmt
13015 (package
13016 (name "r-gdsfmt")
13017 (version "1.32.0")
13018 (source
13019 (origin
13020 (method url-fetch)
13021 (uri (bioconductor-uri "gdsfmt" version))
13022 (sha256
13023 (base32
13024 "1cdwyivgfc6yw5hj9b3j57wx55gckwhx6fwx2lvqynrjzjyzf3q0"))
13025 (modules '((guix build utils)))
13026 ;; Remove bundled sources of zlib, lz4, and xz. Don't attempt to build
13027 ;; them and link with system libraries instead.
13028 (snippet
13029 '(begin
13030 (for-each delete-file-recursively
13031 '("src/LZ4"
13032 "src/XZ"
13033 "src/ZLIB"))
13034 (substitute* "src/Makevars"
13035 (("all: \\$\\(SHLIB\\)") "all:")
13036 (("\\$\\(SHLIB\\): liblzma.a") "")
13037 (("^ (ZLIB|LZ4)/.*") "")
13038 (("CoreArray/dVLIntGDS.cpp.*")
13039 "CoreArray/dVLIntGDS.cpp")
13040 (("CoreArray/dVLIntGDS.o.*")
13041 "CoreArray/dVLIntGDS.o")
13042 (("PKG_LIBS = ./liblzma.a")
13043 "PKG_LIBS = -llz4"))
13044 (substitute* "src/CoreArray/dStream.h"
13045 (("include \"../(ZLIB|LZ4|XZ/api)/(.*)\"" _ _ header)
13046 (string-append "include <" header ">")))))))
13047 (properties `((upstream-name . "gdsfmt")))
13048 (build-system r-build-system)
13049 (inputs
13050 (list lz4 xz zlib))
13051 (native-inputs
13052 (list r-knitr))
13053 (home-page "http://corearray.sourceforge.net/")
13054 (synopsis
13055 "R Interface to CoreArray Genomic Data Structure (GDS) Files")
13056 (description
13057 "This package provides a high-level R interface to CoreArray @dfn{Genomic
13058 Data Structure} (GDS) data files, which are portable across platforms with
13059 hierarchical structure to store multiple scalable array-oriented data sets
13060 with metadata information. It is suited for large-scale datasets, especially
13061 for data which are much larger than the available random-access memory. The
13062 @code{gdsfmt} package offers efficient operations specifically designed for
13063 integers of less than 8 bits, since a diploid genotype, like
13064 @dfn{single-nucleotide polymorphism} (SNP), usually occupies fewer bits than a
13065 byte. Data compression and decompression are available with relatively
13066 efficient random access. It is also allowed to read a GDS file in parallel
13067 with multiple R processes supported by the package @code{parallel}.")
13068 (license license:lgpl3)))
13069
13070 (define-public r-bigmelon
13071 (package
13072 (name "r-bigmelon")
13073 (version "1.22.0")
13074 (source
13075 (origin
13076 (method url-fetch)
13077 (uri (bioconductor-uri "bigmelon" version))
13078 (sha256
13079 (base32
13080 "1msch4qbifkdqv0bbw03xj6d9w28z91mf4ki41rqg6048cq17h2k"))))
13081 (properties `((upstream-name . "bigmelon")))
13082 (build-system r-build-system)
13083 (propagated-inputs
13084 (list r-biobase
13085 r-biocgenerics
13086 r-gdsfmt
13087 r-geoquery
13088 r-illuminaio
13089 r-methylumi
13090 r-minfi
13091 r-watermelon))
13092 (native-inputs
13093 (list r-knitr))
13094 (home-page "https://bioconductor.org/packages/bigmelon/")
13095 (synopsis "Illumina methylation array analysis for large experiments")
13096 (description
13097 "This package provides methods for working with Illumina arrays using the
13098 @code{gdsfmt} package.")
13099 (license license:gpl3)))
13100
13101 (define-public r-seqbias
13102 (package
13103 (name "r-seqbias")
13104 (version "1.44.0")
13105 (source
13106 (origin
13107 (method url-fetch)
13108 (uri (bioconductor-uri "seqbias" version))
13109 (sha256
13110 (base32
13111 "085nq6pf0bdn17wsbr5jnyy512v7rf67xff9rp5wz47mcifbv6rg"))))
13112 (properties `((upstream-name . "seqbias")))
13113 (build-system r-build-system)
13114 (propagated-inputs
13115 (list r-biostrings r-genomicranges r-rhtslib))
13116 (home-page "https://bioconductor.org/packages/seqbias/")
13117 (synopsis "Estimation of per-position bias in high-throughput sequencing data")
13118 (description
13119 "This package implements a model of per-position sequencing bias in
13120 high-throughput sequencing data using a simple Bayesian network, the structure
13121 and parameters of which are trained on a set of aligned reads and a reference
13122 genome sequence.")
13123 (license license:lgpl3)))
13124
13125 (define-public r-reqon
13126 (package
13127 (name "r-reqon")
13128 (version "1.42.0")
13129 (source
13130 (origin
13131 (method url-fetch)
13132 (uri (bioconductor-uri "ReQON" version))
13133 (sha256
13134 (base32
13135 "1f5pplm8fy3wvl0b6n18gph4dq9i9x5qiyjrj0bk0kwlkbpba74r"))))
13136 (properties `((upstream-name . "ReQON")))
13137 (build-system r-build-system)
13138 (propagated-inputs
13139 (list r-rjava r-rsamtools r-seqbias))
13140 (home-page "https://bioconductor.org/packages/ReQON/")
13141 (synopsis "Recalibrating quality of nucleotides")
13142 (description
13143 "This package provides an implementation of an algorithm for
13144 recalibrating the base quality scores for aligned sequencing data in BAM
13145 format.")
13146 (license license:gpl2)))
13147
13148 (define-public r-wavcluster
13149 (package
13150 (name "r-wavcluster")
13151 (version "2.30.0")
13152 (source
13153 (origin
13154 (method url-fetch)
13155 (uri (bioconductor-uri "wavClusteR" version))
13156 (sha256
13157 (base32
13158 "04di095i9i19j9ppx8gdsk7n18vd02d4rjdi9d4a3p0xv05ihnb6"))))
13159 (properties `((upstream-name . "wavClusteR")))
13160 (build-system r-build-system)
13161 (propagated-inputs
13162 (list r-biocgenerics
13163 r-biostrings
13164 r-foreach
13165 r-genomicfeatures
13166 r-genomicranges
13167 r-ggplot2
13168 r-hmisc
13169 r-iranges
13170 r-mclust
13171 r-rsamtools
13172 r-rtracklayer
13173 r-s4vectors
13174 r-seqinr
13175 r-stringr))
13176 (native-inputs
13177 (list r-knitr))
13178 (home-page "https://bioconductor.org/packages/wavClusteR/")
13179 (synopsis "Identification of RNA-protein interaction sites in PAR-CLIP data")
13180 (description
13181 "This package provides an integrated pipeline for the analysis of
13182 PAR-CLIP data. PAR-CLIP-induced transitions are first discriminated from
13183 sequencing errors, SNPs and additional non-experimental sources by a non-
13184 parametric mixture model. The protein binding sites (clusters) are then
13185 resolved at high resolution and cluster statistics are estimated using a
13186 rigorous Bayesian framework. Post-processing of the results, data export for
13187 UCSC genome browser visualization and motif search analysis are provided. In
13188 addition, the package integrates RNA-Seq data to estimate the False
13189 Discovery Rate of cluster detection. Key functions support parallel multicore
13190 computing. While wavClusteR was designed for PAR-CLIP data analysis, it can
13191 be applied to the analysis of other NGS data obtained from experimental
13192 procedures that induce nucleotide substitutions (e.g. BisSeq).")
13193 (license license:gpl2)))
13194
13195 (define-public r-timeseriesexperiment
13196 (package
13197 (name "r-timeseriesexperiment")
13198 (version "1.13.0")
13199 (source
13200 (origin
13201 (method url-fetch)
13202 (uri (bioconductor-uri "TimeSeriesExperiment" version))
13203 (sha256
13204 (base32
13205 "0bdpxxr739qdg92qabfx122k9f43vw2hyxp4yxqlbp37vzgcdf2c"))))
13206 (properties
13207 `((upstream-name . "TimeSeriesExperiment")))
13208 (build-system r-build-system)
13209 (propagated-inputs
13210 (list r-deseq2
13211 r-dplyr
13212 r-dynamictreecut
13213 r-edger
13214 r-ggplot2
13215 r-hmisc
13216 r-limma
13217 r-magrittr
13218 r-proxy
13219 r-s4vectors
13220 r-summarizedexperiment
13221 r-tibble
13222 r-tidyr
13223 r-vegan
13224 r-viridis))
13225 (native-inputs
13226 (list r-knitr))
13227 (home-page "https://github.com/nlhuong/TimeSeriesExperiment/")
13228 (synopsis "Analysis for short time-series data")
13229 (description
13230 "This package is a visualization and analysis toolbox for short time
13231 course data which includes dimensionality reduction, clustering, two-sample
13232 differential expression testing and gene ranking techniques. The package also
13233 provides methods for retrieving enriched pathways.")
13234 (license license:lgpl3+)))
13235
13236 (define-public r-variantfiltering
13237 (package
13238 (name "r-variantfiltering")
13239 (version "1.32.0")
13240 (source
13241 (origin
13242 (method url-fetch)
13243 (uri (bioconductor-uri "VariantFiltering" version))
13244 (sha256
13245 (base32
13246 "1bjqn8qik221x0bqvgd99p87v45iihwp6cxckh4ks964pd0c1xk8"))))
13247 (properties
13248 `((upstream-name . "VariantFiltering")))
13249 (build-system r-build-system)
13250 (propagated-inputs
13251 (list r-annotationdbi
13252 r-biobase
13253 r-biocgenerics
13254 r-biocparallel
13255 r-biostrings
13256 r-bsgenome
13257 r-dt
13258 r-genomeinfodb
13259 r-genomicfeatures
13260 r-genomicranges
13261 r-genomicscores
13262 r-graph
13263 r-gviz
13264 r-iranges
13265 r-rbgl
13266 r-rsamtools
13267 r-s4vectors
13268 r-shiny
13269 r-shinyjs
13270 r-shinythemes
13271 r-shinytree
13272 r-summarizedexperiment
13273 r-variantannotation
13274 r-xvector))
13275 (home-page "https://github.com/rcastelo/VariantFiltering")
13276 (synopsis "Filtering of coding and non-coding genetic variants")
13277 (description
13278 "Filter genetic variants using different criteria such as inheritance
13279 model, amino acid change consequence, minor allele frequencies across human
13280 populations, splice site strength, conservation, etc.")
13281 (license license:artistic2.0)))
13282
13283 (define-public r-genomegraphs
13284 (package
13285 (name "r-genomegraphs")
13286 (version "1.46.0")
13287 (source
13288 (origin
13289 (method url-fetch)
13290 (uri (bioconductor-uri "GenomeGraphs" version))
13291 (sha256
13292 (base32
13293 "05vavhz936v7cknig2f2mn3fd9fiy54r3swlvifpawramblp1ags"))))
13294 (properties `((upstream-name . "GenomeGraphs")))
13295 (build-system r-build-system)
13296 (propagated-inputs
13297 (list r-biomart))
13298 (home-page "https://bioconductor.org/packages/GenomeGraphs/")
13299 (synopsis "Plotting genomic information from Ensembl")
13300 (description
13301 "Genomic data analyses requires integrated visualization of known genomic
13302 information and new experimental data. GenomeGraphs uses the biomaRt package
13303 to perform live annotation queries to Ensembl and translates this to e.g.
13304 gene/transcript structures in viewports of the grid graphics package. This
13305 results in genomic information plotted together with your data. Another
13306 strength of GenomeGraphs is to plot different data types such as array CGH,
13307 gene expression, sequencing and other data, together in one plot using the
13308 same genome coordinate system.")
13309 (license license:artistic2.0)))
13310
13311 (define-public r-wavetiling
13312 (package
13313 (name "r-wavetiling")
13314 (version "1.28.0")
13315 (source
13316 (origin
13317 (method url-fetch)
13318 (uri (bioconductor-uri "waveTiling" version))
13319 (sha256
13320 (base32
13321 "0d7l559zlmly8mncmh1zhkqmsml0bwwfpm7ccp8l26y852vwf7hf"))))
13322 (properties `((upstream-name . "waveTiling")))
13323 (build-system r-build-system)
13324 (propagated-inputs
13325 (list r-affy
13326 r-biobase
13327 r-biostrings
13328 r-genomegraphs
13329 r-genomicranges
13330 r-iranges
13331 r-oligo
13332 r-oligoclasses
13333 r-preprocesscore
13334 r-waveslim))
13335 (home-page "https://r-forge.r-project.org/projects/wavetiling/")
13336 (synopsis "Wavelet-based models for tiling array transcriptome analysis")
13337 (description
13338 "This package is designed to conduct transcriptome analysis for tiling
13339 arrays based on fast wavelet-based functional models.")
13340 (license license:gpl2+)))
13341
13342 (define-public r-variancepartition
13343 (package
13344 (name "r-variancepartition")
13345 (version "1.26.0")
13346 (source
13347 (origin
13348 (method url-fetch)
13349 (uri (bioconductor-uri "variancePartition" version))
13350 (sha256
13351 (base32
13352 "0wk1xql8b0gxyrqz9hs54xvmp7qdw9b8jnv88p4vgv061iwyk7wv"))))
13353 (properties
13354 `((upstream-name . "variancePartition")))
13355 (build-system r-build-system)
13356 (propagated-inputs
13357 (list r-aod
13358 r-biobase
13359 r-biocparallel
13360 r-doparallel
13361 r-foreach
13362 r-ggplot2
13363 r-gplots
13364 r-iterators
13365 r-limma
13366 r-lme4
13367 r-lmertest
13368 r-mass
13369 r-matrix
13370 r-pbkrtest
13371 r-progress
13372 r-rdpack
13373 r-reshape2
13374 r-rhpcblasctl
13375 r-rlang
13376 r-scales))
13377 (native-inputs
13378 (list r-knitr))
13379 (home-page "https://bioconductor.org/packages/variancePartition/")
13380 (synopsis "Analyze variation in gene expression experiments")
13381 (description
13382 "This is a package providing tools to quantify and interpret multiple
13383 sources of biological and technical variation in gene expression experiments.
13384 It uses a linear mixed model to quantify variation in gene expression
13385 attributable to individual, tissue, time point, or technical variables. The
13386 package includes dream differential expression analysis for repeated
13387 measures.")
13388 (license license:gpl2+)))
13389
13390 (define-public r-htqpcr
13391 (package
13392 (name "r-htqpcr")
13393 (version "1.50.0")
13394 (source
13395 (origin
13396 (method url-fetch)
13397 (uri (bioconductor-uri "HTqPCR" version))
13398 (sha256
13399 (base32
13400 "0am98rzwpi3kybq1l27c5qn3n1pg5aqwmh6jq9q0lzbjjin3haqc"))))
13401 (properties `((upstream-name . "HTqPCR")))
13402 (build-system r-build-system)
13403 (propagated-inputs
13404 (list r-affy r-biobase r-gplots r-limma r-rcolorbrewer))
13405 (home-page (string-append "https://www.ebi.ac.uk/sites/ebi.ac.uk/files/"
13406 "groups/bertone/software/HTqPCR.pdf"))
13407 (synopsis "Automated analysis of high-throughput qPCR data")
13408 (description
13409 "Analysis of Ct values from high throughput quantitative real-time
13410 PCR (qPCR) assays across multiple conditions or replicates. The input data
13411 can be from spatially-defined formats such ABI TaqMan Low Density Arrays or
13412 OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad
13413 Laboratories; conventional 96- or 384-well plates; or microfluidic devices
13414 such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data
13415 loading, quality assessment, normalization, visualization and parametric or
13416 non-parametric testing for statistical significance in Ct values between
13417 features (e.g. genes, microRNAs).")
13418 (license license:artistic2.0)))
13419
13420 (define-public r-unifiedwmwqpcr
13421 (package
13422 (name "r-unifiedwmwqpcr")
13423 (version "1.32.0")
13424 (source
13425 (origin
13426 (method url-fetch)
13427 (uri (bioconductor-uri "unifiedWMWqPCR" version))
13428 (sha256
13429 (base32
13430 "1skfs94a6bv05c844zf5vfqw1fbgxyppgdnckdbhxg2a2470a4wh"))))
13431 (properties
13432 `((upstream-name . "unifiedWMWqPCR")))
13433 (build-system r-build-system)
13434 (propagated-inputs
13435 (list r-biocgenerics r-htqpcr))
13436 (home-page "https://bioconductor.org/packages/unifiedWMWqPCR")
13437 (synopsis "Unified Wilcoxon-Mann Whitney Test for differential expression in qPCR data")
13438 (description
13439 "This package implements the unified Wilcoxon-Mann-Whitney Test for qPCR
13440 data. This modified test allows for testing differential expression in qPCR
13441 data.")
13442 (license license:gpl2+)))
13443
13444 (define-public r-universalmotif
13445 (package
13446 (name "r-universalmotif")
13447 (version "1.14.1")
13448 (source
13449 (origin
13450 (method url-fetch)
13451 (uri (bioconductor-uri "universalmotif" version))
13452 (sha256
13453 (base32
13454 "1sm54z8aq3534qjsa19wychhwcvwnjlkydmiqqvidiiwcxwqpjsr"))))
13455 (properties
13456 `((upstream-name . "universalmotif")))
13457 (build-system r-build-system)
13458 (arguments
13459 `(#:phases
13460 (modify-phases %standard-phases
13461 (add-after 'unpack 'fix-reference-to-strip
13462 (lambda _
13463 (substitute* "src/Makevars"
13464 (("/usr/bin/strip") (which "strip"))))))))
13465 (propagated-inputs
13466 (list r-biocgenerics
13467 r-biostrings
13468 r-ggplot2
13469 r-iranges
13470 r-mass
13471 r-rcpp
13472 r-rcppthread
13473 r-rlang
13474 r-s4vectors
13475 r-yaml))
13476 (native-inputs
13477 (list r-knitr))
13478 (home-page
13479 "https://bioconductor.org/packages/universalmotif/")
13480 (synopsis
13481 "Specific structures importer, modifier, and exporter for R")
13482 (description
13483 "This package allows importing most common @dfn{specific structure}
13484 (motif) types into R for use by functions provided by other Bioconductor
13485 motif-related packages. Motifs can be exported into most major motif formats
13486 from various classes as defined by other Bioconductor packages. A suite of
13487 motif and sequence manipulation and analysis functions are included, including
13488 enrichment, comparison, P-value calculation, shuffling, trimming, higher-order
13489 motifs, and others.")
13490 (license license:gpl3)))
13491
13492 (define-public r-ace
13493 (package
13494 (name "r-ace")
13495 (version "1.14.0")
13496 (source (origin
13497 (method url-fetch)
13498 (uri (bioconductor-uri "ACE" version))
13499 (sha256
13500 (base32
13501 "1xnw288vz810vjkidar5h218wyc0q2hx0k4zi3r88vaz5rfhc05m"))))
13502 (properties `((upstream-name . "ACE")))
13503 (build-system r-build-system)
13504 (propagated-inputs (list r-biobase r-genomicranges r-ggplot2 r-qdnaseq))
13505 (native-inputs (list r-knitr))
13506 (home-page "https://github.com/tgac-vumc/ACE")
13507 (synopsis
13508 "Absolute copy number estimation from low-coverage whole genome sequencing")
13509 (description
13510 "This package uses segmented copy number data to estimate tumor cell
13511 percentage and produce copy number plots displaying absolute copy numbers. For
13512 this it uses segmented data from the @code{QDNAseq} package, which in turn uses
13513 a number of dependencies to turn mapped reads into segmented data. @code{ACE}
13514 will run @code{QDNAseq} or use its output rds-file of segmented data. It will
13515 subsequently run through all samples in the object(s), for which it will create
13516 individual subdirectories. For each sample, it will calculate how well the
13517 segments fit (the relative error) to integer copy numbers for each percentage
13518 of @dfn{tumor cells} (cells with divergent segments).")
13519 (license license:gpl2)))
13520
13521 (define-public r-acgh
13522 (package
13523 (name "r-acgh")
13524 (version "1.74.0")
13525 (source (origin
13526 (method url-fetch)
13527 (uri (bioconductor-uri "aCGH" version))
13528 (sha256
13529 (base32
13530 "00ni0kwy68v33ggfi8g5vffirhmbhaxg4l54hcqhx75m535z1x7d"))))
13531 (properties `((upstream-name . "aCGH")))
13532 (build-system r-build-system)
13533 (propagated-inputs (list r-biobase r-cluster r-multtest r-survival))
13534 (home-page "https://bioconductor.org/packages/aCGH")
13535 (synopsis
13536 "Classes and functions for array comparative genomic hybridization data")
13537 (description
13538 "This package provides functions for reading
13539 @dfn{array comparative genomic hybridization} (aCGH) data from image analysis
13540 output files and clone information files, creation of @code{aCGH} objects for
13541 storing these data. Basic methods are accessing/replacing, subsetting,
13542 printing and plotting @code{aCGH} objects.")
13543 (license license:gpl2)))
13544
13545 (define-public r-acme
13546 (package
13547 (name "r-acme")
13548 (version "2.52.0")
13549 (source (origin
13550 (method url-fetch)
13551 (uri (bioconductor-uri "ACME" version))
13552 (sha256
13553 (base32
13554 "0ilcsgpc4m47gifxc0yzx2xi3g4day515mncnnjvfdj3iq8xwk25"))))
13555 (properties `((upstream-name . "ACME")))
13556 (build-system r-build-system)
13557 (propagated-inputs (list r-biobase r-biocgenerics))
13558 (home-page "https://bioconductor.org/packages/aCGH/")
13559 (synopsis "Calculating microarray enrichment")
13560 (description
13561 "This package implements @dfn{algorithms for calculating microarray
13562 enrichment} (ACME), and it is a set of tools for analysing tiling array of
13563 @dfn{combined chromatin immunoprecipitation with DNA microarray} (ChIP/chip),
13564 DNAse hypersensitivity, or other experiments that result in regions of the
13565 genome showing enrichment. It does not rely on a specific array technology
13566 (although the array should be a tiling array), is very general (can be applied
13567 in experiments resulting in regions of enrichment), and is very insensitive to
13568 array noise or normalization methods. It is also very fast and can be applied
13569 on whole-genome tiling array experiments quite easily with enough memory.")
13570 (license license:gpl2+)))
13571
13572 (define-public r-acde
13573 (package
13574 (name "r-acde")
13575 (version "1.26.0")
13576 (source (origin
13577 (method url-fetch)
13578 (uri (bioconductor-uri "acde" version))
13579 (sha256
13580 (base32
13581 "0lgq546y4qklfzbc6fjr3d656hn76p6dn4694qfiafql2nlsjbj2"))))
13582 (properties `((upstream-name . "acde")))
13583 (build-system r-build-system)
13584 (propagated-inputs (list r-boot))
13585 (home-page "https://bioconductor.org/packages/acde")
13586 (synopsis
13587 "Identification of differentially expressed genes with artificial components")
13588 (description
13589 "This package provides a multivariate inferential analysis method for
13590 detecting differentially expressed genes in gene expression data. It uses
13591 artificial components, close to the data's principal components but with an
13592 exact interpretation in terms of differential genetic expression, to identify
13593 differentially expressed genes while controlling the @dfn{false discovery
13594 rate} (FDR).")
13595 (license license:gpl3)))
13596
13597 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
13598 ;; it here.
13599 (define-public r-activedriverwgs
13600 (package
13601 (name "r-activedriverwgs")
13602 (version "1.2.0")
13603 (source
13604 (origin
13605 (method url-fetch)
13606 (uri (cran-uri "ActiveDriverWGS" version))
13607 (sha256
13608 (base32
13609 "0xnplgwxd197a4d422bsxg753q158i12ils16awd1cw30wafdxkk"))))
13610 (properties
13611 `((upstream-name . "ActiveDriverWGS")))
13612 (build-system r-build-system)
13613 (propagated-inputs
13614 (list r-biostrings
13615 r-bsgenome
13616 r-bsgenome-hsapiens-ucsc-hg19
13617 r-bsgenome-hsapiens-ucsc-hg38
13618 r-bsgenome-mmusculus-ucsc-mm9
13619 r-bsgenome-mmusculus-ucsc-mm10
13620 r-genomeinfodb
13621 r-genomicranges
13622 r-iranges
13623 r-s4vectors))
13624 (native-inputs
13625 (list r-knitr))
13626 (home-page "https://cran.r-project.org/web/packages/ActiveDriverWGS/")
13627 (synopsis "Driver discovery tool for cancer whole genomes")
13628 (description
13629 "This package provides a method for finding an enrichment of cancer
13630 simple somatic mutations (SNVs and Indels) in functional elements across the
13631 human genome. ActiveDriverWGS detects coding and noncoding driver elements
13632 using whole genome sequencing data.")
13633 (license license:gpl3)))
13634
13635 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
13636 ;; it here.
13637 (define-public r-activepathways
13638 (package
13639 (name "r-activepathways")
13640 (version "1.1.1")
13641 (source
13642 (origin
13643 (method url-fetch)
13644 (uri (cran-uri "ActivePathways" version))
13645 (sha256
13646 (base32
13647 "1crq164vyqhdq5y3q09k3m5zljqrhcd5ak0jrc0xqvzf0pasml2m"))))
13648 (properties
13649 `((upstream-name . "ActivePathways")))
13650 (build-system r-build-system)
13651 (propagated-inputs
13652 (list r-data-table r-ggplot2))
13653 (native-inputs
13654 (list r-knitr))
13655 (home-page "https://cran.r-project.org/web/packages/ActivePathways/")
13656 (synopsis "Multivariate pathway enrichment analysis")
13657 (description
13658 "This package represents an integrative method of analyzing multi omics
13659 data that conducts enrichment analysis of annotated gene sets. ActivePathways
13660 uses a statistical data fusion approach, rationalizes contributing evidence
13661 and highlights associated genes, improving systems-level understanding of
13662 cellular organization in health and disease.")
13663 (license license:gpl3)))
13664
13665 (define-public r-bgmix
13666 (package
13667 (name "r-bgmix")
13668 (version "1.56.0")
13669 (source
13670 (origin
13671 (method url-fetch)
13672 (uri (bioconductor-uri "BGmix" version))
13673 (sha256
13674 (base32
13675 "03f6nknp3n49yvg2d9qsmds676rva70pr4wjz0md228jczgjk0vj"))))
13676 (properties `((upstream-name . "BGmix")))
13677 (build-system r-build-system)
13678 (propagated-inputs
13679 (list r-kernsmooth))
13680 (home-page "https://bioconductor.org/packages/BGmix/")
13681 (synopsis "Bayesian models for differential gene expression")
13682 (description
13683 "This package provides fully Bayesian mixture models for differential
13684 gene expression.")
13685 (license license:gpl2)))
13686
13687 (define-public r-bgx
13688 (package
13689 (name "r-bgx")
13690 (version "1.62.0")
13691 (source
13692 (origin
13693 (method url-fetch)
13694 (uri (bioconductor-uri "bgx" version))
13695 (sha256
13696 (base32
13697 "0q2y4n6bcc9pvz5sgfkw1lrb00rrp7q29i1vh7srdfmfhgpyz6bk"))))
13698 (properties `((upstream-name . "bgx")))
13699 (build-system r-build-system)
13700 (arguments
13701 (list
13702 #:phases
13703 '(modify-phases %standard-phases
13704 (add-after 'unpack 'do-not-tune-cflags-for-reproducibility
13705 (lambda _
13706 (substitute* "configure.ac"
13707 (("AX_GCC_ARCHFLAG.*") ""))
13708 (delete-file "configure")
13709 (invoke "autoreconf" "-vif"))))))
13710 (inputs
13711 (list boost))
13712 (propagated-inputs
13713 (list r-affy r-biobase r-gcrma r-rcpp))
13714 (native-inputs
13715 (list autoconf automake))
13716 (home-page "https://bioconductor.org/packages/bgx/")
13717 (synopsis "Bayesian gene expression")
13718 (description
13719 "This package provides tools for Bayesian integrated analysis of
13720 Affymetrix GeneChips.")
13721 (license license:gpl2)))
13722
13723 (define-public r-bhc
13724 (package
13725 (name "r-bhc")
13726 (version "1.48.0")
13727 (source
13728 (origin
13729 (method url-fetch)
13730 (uri (bioconductor-uri "BHC" version))
13731 (sha256
13732 (base32
13733 "1kqajd16981y5yaak2imaq1i7pilgqdr3nbhggsakh787j1d9rc5"))))
13734 (properties `((upstream-name . "BHC")))
13735 (build-system r-build-system)
13736 (home-page "https://bioconductor.org/packages/BHC/")
13737 (synopsis "Bayesian hierarchical clustering")
13738 (description
13739 "The method implemented in this package performs bottom-up hierarchical
13740 clustering, using a Dirichlet Process (infinite mixture) to model uncertainty
13741 in the data and Bayesian model selection to decide at each step which clusters
13742 to merge. This avoids several limitations of traditional methods, for example
13743 how many clusters there should be and how to choose a principled distance
13744 metric. This implementation accepts multinomial (i.e. discrete, with 2+
13745 categories) or time-series data. This version also includes a randomised
13746 algorithm which is more efficient for larger data sets.")
13747 (license license:gpl3)))
13748
13749 (define-public r-bicare
13750 (package
13751 (name "r-bicare")
13752 (version "1.54.0")
13753 (source
13754 (origin
13755 (method url-fetch)
13756 (uri (bioconductor-uri "BicARE" version))
13757 (sha256
13758 (base32
13759 "0qjh5bsjcjry6k1vzdaascwy2shjrkc2bw0w57w0qa458cbi89z2"))))
13760 (properties `((upstream-name . "BicARE")))
13761 (build-system r-build-system)
13762 (propagated-inputs
13763 (list r-biobase r-gseabase r-multtest))
13764 (home-page "http://bioinfo.curie.fr")
13765 (synopsis "Biclustering analysis and results exploration")
13766 (description
13767 "This is a package for biclustering analysis and exploration of
13768 results.")
13769 (license license:gpl2)))
13770
13771 (define-public r-bifet
13772 (package
13773 (name "r-bifet")
13774 (version "1.16.0")
13775 (source
13776 (origin
13777 (method url-fetch)
13778 (uri (bioconductor-uri "BiFET" version))
13779 (sha256
13780 (base32
13781 "03ypbbn8i0f4bl4m6wfdcv702jydniak56wqjb1vlrckd9aphwzq"))))
13782 (properties `((upstream-name . "BiFET")))
13783 (build-system r-build-system)
13784 (propagated-inputs
13785 (list r-genomicranges r-poibin))
13786 (native-inputs
13787 (list r-knitr))
13788 (home-page "https://bioconductor.org/packages/BiFET")
13789 (synopsis "Bias-free footprint enrichment test")
13790 (description
13791 "BiFET identifies @dfn{transcription factors} (TFs) whose footprints are
13792 over-represented in target regions compared to background regions after
13793 correcting for the bias arising from the imbalance in read counts and GC
13794 contents between the target and background regions. For a given TF k, BiFET
13795 tests the null hypothesis that the target regions have the same probability of
13796 having footprints for the TF k as the background regions while correcting for
13797 the read count and GC content bias.")
13798 (license license:gpl3)))
13799
13800 (define-public r-rsbml
13801 (package
13802 (name "r-rsbml")
13803 (version "2.54.0")
13804 (source
13805 (origin
13806 (method url-fetch)
13807 (uri (bioconductor-uri "rsbml" version))
13808 (sha256
13809 (base32
13810 "1v11pspkml6xdsacgwxw8r4qdhbnn2h2sqgpm9aidaq9p2085b0v"))))
13811 (properties `((upstream-name . "rsbml")))
13812 (build-system r-build-system)
13813 (inputs
13814 (list libsbml))
13815 (propagated-inputs
13816 (list r-biocgenerics r-graph))
13817 (native-inputs
13818 (list pkg-config))
13819 (home-page "http://www.sbml.org")
13820 (synopsis "R support for SBML")
13821 (description
13822 "This package provides an R interface to libsbml for SBML parsing,
13823 validating output, provides an S4 SBML DOM, converts SBML to R graph objects.")
13824 (license license:artistic2.0)))
13825
13826 (define-public r-hypergraph
13827 (package
13828 (name "r-hypergraph")
13829 (version "1.68.0")
13830 (source
13831 (origin
13832 (method url-fetch)
13833 (uri (bioconductor-uri "hypergraph" version))
13834 (sha256
13835 (base32
13836 "0xmryqj5yw1ns6wbhjqbb6h14jlj89zrznzvqnvd4n03ci20kzzp"))))
13837 (properties `((upstream-name . "hypergraph")))
13838 (build-system r-build-system)
13839 (propagated-inputs
13840 (list r-graph))
13841 (home-page "https://bioconductor.org/packages/hypergraph")
13842 (synopsis "Hypergraph data structures")
13843 (description
13844 "This package implements some simple capabilities for representing and
13845 manipulating hypergraphs.")
13846 (license license:artistic2.0)))
13847
13848 (define-public r-hyperdraw
13849 (package
13850 (name "r-hyperdraw")
13851 (version "1.48.0")
13852 (source
13853 (origin
13854 (method url-fetch)
13855 (uri (bioconductor-uri "hyperdraw" version))
13856 (sha256
13857 (base32
13858 "0ndw4y6b15jy4w86vfkahmdc81d3ycjsvqy1mxi55dwvd8xq0ap6"))))
13859 (properties `((upstream-name . "hyperdraw")))
13860 (build-system r-build-system)
13861 (inputs (list graphviz))
13862 (propagated-inputs
13863 (list r-graph r-hypergraph r-rgraphviz))
13864 (home-page "https://bioconductor.org/packages/hyperdraw")
13865 (synopsis "Visualizing hypergraphs")
13866 (description
13867 "This package provides functions for visualizing hypergraphs.")
13868 (license license:gpl2+)))
13869
13870 (define-public r-biggr
13871 (package
13872 (name "r-biggr")
13873 (version "1.32.0")
13874 (source
13875 (origin
13876 (method url-fetch)
13877 (uri (bioconductor-uri "BiGGR" version))
13878 (sha256
13879 (base32
13880 "0n57bgl6xz5b1gpw4isimq2pqxmlabn7jzhbjg2fbxcklabdvrcw"))))
13881 (properties `((upstream-name . "BiGGR")))
13882 (build-system r-build-system)
13883 (propagated-inputs
13884 (list r-hyperdraw
13885 r-hypergraph
13886 r-lim
13887 r-limsolve
13888 r-rsbml
13889 r-stringr))
13890 (home-page "https://bioconductor.org/packages/BiGGR/")
13891 (synopsis "Constraint based modeling using metabolic reconstruction databases")
13892 (description
13893 "This package provides an interface to simulate metabolic reconstruction
13894 from the @url{http://bigg.ucsd.edu/, BiGG database} and other metabolic
13895 reconstruction databases. The package facilitates @dfn{flux balance
13896 analysis} (FBA) and the sampling of feasible flux distributions. Metabolic
13897 networks and estimated fluxes can be visualized with hypergraphs.")
13898 (license license:gpl3+)))
13899
13900 (define-public r-bigmemoryextras
13901 (package
13902 (name "r-bigmemoryextras")
13903 (version "1.38.0")
13904 (source
13905 (origin
13906 (method url-fetch)
13907 (uri (bioconductor-uri "bigmemoryExtras" version))
13908 (sha256
13909 (base32
13910 "1k31h746j8r3f92vj62s38fw12qjkv5814ipcqfbswnxgaan17zj"))))
13911 (properties
13912 `((upstream-name . "bigmemoryExtras")))
13913 (build-system r-build-system)
13914 (propagated-inputs
13915 (list r-bigmemory))
13916 (native-inputs
13917 (list r-knitr))
13918 (home-page "https://github.com/phaverty/bigmemoryExtras")
13919 (synopsis "Extension of the bigmemory package")
13920 (description
13921 "This package defines a @code{BigMatrix} @code{ReferenceClass} which adds
13922 safety and convenience features to the @code{filebacked.big.matrix} class from
13923 the @code{bigmemory} package. @code{BigMatrix} protects against segfaults by
13924 monitoring and gracefully restoring the connection to on-disk data and it also
13925 protects against accidental data modification with a file-system-based
13926 permissions system. Utilities are provided for using @code{BigMatrix}-derived
13927 classes as @code{assayData} matrices within the @code{Biobase} package's
13928 @code{eSet} family of classes. @code{BigMatrix} provides some optimizations
13929 related to attaching to, and indexing into, file-backed matrices with
13930 dimnames. Additionally, the package provides a @code{BigMatrixFactor} class,
13931 a file-backed matrix with factor properties.")
13932 (license license:artistic2.0)))
13933
13934 (define-public r-bigpint
13935 (package
13936 (name "r-bigpint")
13937 (version "1.12.0")
13938 (source
13939 (origin
13940 (method url-fetch)
13941 (uri (bioconductor-uri "bigPint" version))
13942 (sha256
13943 (base32
13944 "1hp69j2qcidrxqs3dxjjngb09nbzp5x2yy4jz1rjmv6ghif9ccfj"))))
13945 (properties `((upstream-name . "bigPint")))
13946 (build-system r-build-system)
13947 (propagated-inputs
13948 (list r-delayedarray
13949 r-dplyr
13950 r-ggally
13951 r-ggplot2
13952 r-gridextra
13953 r-hexbin
13954 r-hmisc
13955 r-htmlwidgets
13956 r-plotly
13957 r-plyr
13958 r-rcolorbrewer
13959 r-reshape
13960 r-shiny
13961 r-shinycssloaders
13962 r-shinydashboard
13963 r-stringr
13964 r-summarizedexperiment
13965 r-tidyr))
13966 (native-inputs
13967 (list r-knitr))
13968 (home-page "https://github.com/lindsayrutter/bigPint")
13969 (synopsis "Big multivariate data plotted interactively")
13970 (description
13971 "This package provides methods for visualizing large multivariate
13972 datasets using static and interactive scatterplot matrices, parallel
13973 coordinate plots, volcano plots, and litre plots. It includes examples for
13974 visualizing RNA-sequencing datasets and differentially expressed genes.")
13975 (license license:gpl3)))
13976
13977 (define-public r-chemminer
13978 (package
13979 (name "r-chemminer")
13980 (version "3.48.0")
13981 (source
13982 (origin
13983 (method url-fetch)
13984 (uri (bioconductor-uri "ChemmineR" version))
13985 (sha256
13986 (base32
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13988 (properties `((upstream-name . "ChemmineR")))
13989 (build-system r-build-system)
13990 (propagated-inputs
13991 (list r-base64enc
13992 r-bh
13993 r-biocgenerics
13994 r-dbi
13995 r-digest
13996 r-dt
13997 r-ggplot2
13998 r-gridextra
13999 r-jsonlite
14000 r-png
14001 r-rcpp
14002 r-rcurl
14003 r-rjson
14004 r-rsvg
14005 r-stringi))
14006 (native-inputs
14007 (list r-knitr))
14008 (home-page "https://github.com/girke-lab/ChemmineR")
14009 (synopsis "Cheminformatics toolkit for R")
14010 (description
14011 "ChemmineR is a cheminformatics package for analyzing drug-like small
14012 molecule data in R. It contains functions for efficient processing of large
14013 numbers of molecules, physicochemical/structural property predictions,
14014 structural similarity searching, classification and clustering of compound
14015 libraries with a wide spectrum of algorithms. In addition, it offers
14016 visualization functions for compound clustering results and chemical
14017 structures.")
14018 (license license:artistic2.0)))
14019
14020 (define-public r-fmcsr
14021 (package
14022 (name "r-fmcsr")
14023 (version "1.38.0")
14024 (source
14025 (origin
14026 (method url-fetch)
14027 (uri (bioconductor-uri "fmcsR" version))
14028 (sha256
14029 (base32 "1mblmk21dxc9v2fikhvfg2njwgl190gkysppl6msxizwcmxsmh30"))))
14030 (properties `((upstream-name . "fmcsR")))
14031 (build-system r-build-system)
14032 (propagated-inputs
14033 (list r-biocgenerics r-chemminer r-runit))
14034 (native-inputs (list r-knitr))
14035 (home-page "https://github.com/girke-lab/fmcsR")
14036 (synopsis "Mismatch tolerant maximum common substructure searching")
14037 (description
14038 "The fmcsR package introduces an efficient @dfn{maximum common
14039 substructure} (MCS) algorithms combined with a novel matching strategy that
14040 allows for atom and/or bond mismatches in the substructures shared among two
14041 small molecules. The resulting flexible MCSs (FMCSs) are often larger than
14042 strict MCSs, resulting in the identification of more common features in their
14043 source structures, as well as a higher sensitivity in finding compounds with
14044 weak structural similarities. The fmcsR package provides several utilities to
14045 use the FMCS algorithm for pairwise compound comparisons, structure similarity
14046 searching and clustering.")
14047 (license license:artistic2.0)))
14048
14049 (define-public r-bioassayr
14050 (package
14051 (name "r-bioassayr")
14052 (version "1.34.0")
14053 (source
14054 (origin
14055 (method url-fetch)
14056 (uri (bioconductor-uri "bioassayR" version))
14057 (sha256
14058 (base32
14059 "0zbrci0vgk4qca28i0qb2izhyrz3r95l1w54h9h3zj9f3vd61wrz"))))
14060 (properties `((upstream-name . "bioassayR")))
14061 (build-system r-build-system)
14062 (propagated-inputs
14063 (list r-biocgenerics
14064 r-chemminer
14065 r-dbi
14066 r-matrix
14067 r-rjson
14068 r-rsqlite
14069 r-xml))
14070 (native-inputs
14071 (list r-knitr))
14072 (home-page "https://github.com/girke-lab/bioassayR")
14073 (synopsis "Cross-target analysis of small molecule bioactivity")
14074 (description
14075 "bioassayR is a computational tool that enables simultaneous analysis of
14076 thousands of bioassay experiments performed over a diverse set of compounds
14077 and biological targets. Unique features include support for large-scale
14078 cross-target analyses of both public and custom bioassays, generation of
14079 @dfn{high throughput screening fingerprints} (HTSFPs), and an optional
14080 preloaded database that provides access to a substantial portion of publicly
14081 available bioactivity data.")
14082 (license license:artistic2.0)))
14083
14084 (define-public r-biobroom
14085 (package
14086 (name "r-biobroom")
14087 (version "1.28.0")
14088 (source
14089 (origin
14090 (method url-fetch)
14091 (uri (bioconductor-uri "biobroom" version))
14092 (sha256
14093 (base32
14094 "04x1z9nchm4mbhqr31011zdprc4md156j4zf003s7xx0n278xsgh"))))
14095 (properties `((upstream-name . "biobroom")))
14096 (build-system r-build-system)
14097 (propagated-inputs
14098 (list r-biobase r-broom r-dplyr r-tidyr))
14099 (native-inputs
14100 (list r-knitr))
14101 (home-page "https://github.com/StoreyLab/biobroom")
14102 (synopsis "Turn Bioconductor objects into tidy data frames")
14103 (description
14104 "This package contains methods for converting standard objects
14105 constructed by bioinformatics packages, especially those in Bioconductor, and
14106 converting them to @code{tidy} data. It thus serves as a complement to the
14107 @code{broom} package, and follows the same tidy, augment, glance division of
14108 tidying methods. Tidying data makes it easy to recombine, reshape and
14109 visualize bioinformatics analyses.")
14110 ;; Any version of the LGPL.
14111 (license license:lgpl3+)))
14112
14113 (define-public r-graphite
14114 (package
14115 (name "r-graphite")
14116 (version "1.42.0")
14117 (source
14118 (origin
14119 (method url-fetch)
14120 (uri (bioconductor-uri "graphite" version))
14121 (sha256
14122 (base32
14123 "0nl5mkgrvf7vsqjy48ij9b1dmxfvp9lf8cpay55h93c4qz4x606g"))))
14124 (properties `((upstream-name . "graphite")))
14125 (build-system r-build-system)
14126 (propagated-inputs
14127 (list r-annotationdbi r-graph r-httr r-rappdirs r-rlang))
14128 (home-page "https://bioconductor.org/packages/graphite/")
14129 (synopsis "Networks from pathway databases")
14130 (description
14131 "Graphite provides networks derived from eight public pathway databases,
14132 and automates the conversion of node identifiers (e.g. from Entrez IDs to gene
14133 symbols).")
14134 (license license:agpl3+)))
14135
14136 (define-public r-reactomepa
14137 (package
14138 (name "r-reactomepa")
14139 (version "1.40.0")
14140 (source
14141 (origin
14142 (method url-fetch)
14143 (uri (bioconductor-uri "ReactomePA" version))
14144 (sha256
14145 (base32
14146 "1fd72m2afxbbvbgwy8knp6fiq1h561plmsh4r8a08w21ngmkz2s5"))))
14147 (properties `((upstream-name . "ReactomePA")))
14148 (build-system r-build-system)
14149 (propagated-inputs
14150 (list r-annotationdbi
14151 r-dose
14152 r-enrichplot
14153 r-ggplot2
14154 r-ggraph
14155 r-graphite
14156 r-igraph
14157 r-reactome-db))
14158 (native-inputs
14159 (list r-knitr))
14160 (home-page "https://guangchuangyu.github.io/software/ReactomePA")
14161 (synopsis "Reactome pathway analysis")
14162 (description
14163 "This package provides functions for pathway analysis based on the
14164 REACTOME pathway database. It implements enrichment analysis, gene set
14165 enrichment analysis and several functions for visualization.")
14166 (license license:gpl2)))
14167
14168 (define-public r-ebarrays
14169 (package
14170 (name "r-ebarrays")
14171 (version "2.60.0")
14172 (source
14173 (origin
14174 (method url-fetch)
14175 (uri (bioconductor-uri "EBarrays" version))
14176 (sha256
14177 (base32
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14179 (properties `((upstream-name . "EBarrays")))
14180 (build-system r-build-system)
14181 (propagated-inputs
14182 (list r-biobase r-cluster r-lattice))
14183 (home-page "https://bioconductor.org/packages/EBarrays/")
14184 (synopsis "Gene clustering and differential expression identification")
14185 (description
14186 "EBarrays provides tools for the analysis of replicated/unreplicated
14187 microarray data.")
14188 (license license:gpl2+)))
14189
14190 (define-public r-bioccasestudies
14191 (package
14192 (name "r-bioccasestudies")
14193 (version "1.52.0")
14194 (source
14195 (origin
14196 (method url-fetch)
14197 (uri (bioconductor-uri "BiocCaseStudies" version))
14198 (sha256
14199 (base32
14200 "03n49b6fvyyzmvdy4yif3cl7yv21c09c8xdx4cvvax5zz4v4sab1"))))
14201 (properties
14202 `((upstream-name . "BiocCaseStudies")))
14203 (build-system r-build-system)
14204 (propagated-inputs (list r-biobase))
14205 (home-page "https://bioconductor.org/packages/BiocCaseStudies")
14206 (synopsis "Support for the case studies monograph")
14207 (description
14208 "This package provides software and data to support the case studies
14209 monograph.")
14210 (license license:artistic2.0)))
14211
14212 (define-public r-bioccheck
14213 (package
14214 (name "r-bioccheck")
14215 (version "1.32.1")
14216 (source (origin
14217 (method url-fetch)
14218 (uri (bioconductor-uri "BiocCheck" version))
14219 (sha256
14220 (base32
14221 "0bq4xrz1spp0bmbccxydkw6yw03by5dysz85mn152ab6xixm52lw"))))
14222 (properties
14223 `((upstream-name . "BiocCheck")))
14224 (build-system r-build-system)
14225 (propagated-inputs
14226 (list r-codetools
14227 r-graph
14228 r-httr
14229 r-knitr
14230 r-biocmanager
14231 r-biocviews
14232 r-stringdist))
14233 (native-inputs
14234 (list r-knitr))
14235 (home-page "https://bioconductor.org/packages/BiocCheck")
14236 (synopsis "Executes Bioconductor-specific package checks")
14237 (description "This package contains tools to perform additional quality
14238 checks on R packages that are to be submitted to the Bioconductor repository.")
14239 (license license:artistic2.0)))
14240
14241 (define-public r-biocgraph
14242 (package
14243 (name "r-biocgraph")
14244 (version "1.58.0")
14245 (source
14246 (origin
14247 (method url-fetch)
14248 (uri (bioconductor-uri "biocGraph" version))
14249 (sha256
14250 (base32
14251 "1y59a7c4ahhn1g2wz2hkx83izfn8i85mmxxp63jdd0rg7zwhr6nn"))))
14252 (properties `((upstream-name . "biocGraph")))
14253 (build-system r-build-system)
14254 (propagated-inputs
14255 (list r-biocgenerics r-geneplotter r-graph r-rgraphviz))
14256 (home-page "https://bioconductor.org/packages/biocGraph/")
14257 (synopsis "Graph examples and use cases in Bioinformatics")
14258 (description
14259 "This package provides examples and code that make use of the
14260 different graph related packages produced by Bioconductor.")
14261 (license license:artistic2.0)))
14262
14263 (define-public r-biocstyle
14264 (package
14265 (name "r-biocstyle")
14266 (version "2.24.0")
14267 (source (origin
14268 (method url-fetch)
14269 (uri (bioconductor-uri "BiocStyle" version))
14270 (sha256
14271 (base32
14272 "1nwiib201b9q1x19ihqjqr5jl0vnid8wfgpi8sa3y02bn722g5a5"))))
14273 (properties
14274 `((upstream-name . "BiocStyle")))
14275 (build-system r-build-system)
14276 (propagated-inputs
14277 (list r-biocmanager r-bookdown r-knitr r-rmarkdown r-yaml))
14278 (native-inputs
14279 (list r-knitr))
14280 (home-page "https://bioconductor.org/packages/BiocStyle")
14281 (synopsis "Bioconductor formatting styles")
14282 (description "This package provides standard formatting styles for
14283 Bioconductor PDF and HTML documents. Package vignettes illustrate use and
14284 functionality.")
14285 (license license:artistic2.0)))
14286
14287 (define-public r-biocviews
14288 (package
14289 (name "r-biocviews")
14290 (version "1.64.1")
14291 (source (origin
14292 (method url-fetch)
14293 (uri (bioconductor-uri "biocViews" version))
14294 (sha256
14295 (base32
14296 "0ixcx9qqpmwmnhml3klk5z075km8g2l4q0iqc1dbniga87qgyl38"))))
14297 (properties
14298 `((upstream-name . "biocViews")))
14299 (build-system r-build-system)
14300 (propagated-inputs
14301 (list r-biobase
14302 r-biocmanager
14303 r-graph
14304 r-rbgl
14305 r-rcurl
14306 r-xml
14307 r-runit))
14308 (home-page "https://bioconductor.org/packages/biocViews")
14309 (synopsis "Bioconductor package categorization helper")
14310 (description "The purpose of biocViews is to create HTML pages that
14311 categorize packages in a Bioconductor package repository according to keywords,
14312 also known as views, in a controlled vocabulary.")
14313 (license license:artistic2.0)))
14314
14315 (define-public r-experimenthub
14316 (package
14317 (name "r-experimenthub")
14318 (version "2.4.0")
14319 (source
14320 (origin
14321 (method url-fetch)
14322 (uri (bioconductor-uri "ExperimentHub" version))
14323 (sha256
14324 (base32
14325 "11hna8vrm1az1zk7pw2dv0wh84sd0hw2bi55w40hqvs36csb7lkl"))))
14326 (properties `((upstream-name . "ExperimentHub")))
14327 (build-system r-build-system)
14328 (propagated-inputs
14329 (list r-annotationhub
14330 r-biocfilecache
14331 r-biocgenerics
14332 r-biocmanager
14333 r-curl
14334 r-rappdirs
14335 r-s4vectors))
14336 (native-inputs
14337 (list r-knitr))
14338 (home-page "https://bioconductor.org/packages/ExperimentHub/")
14339 (synopsis "Client to access ExperimentHub resources")
14340 (description
14341 "This package provides a client for the Bioconductor ExperimentHub web
14342 resource. ExperimentHub provides a central location where curated data from
14343 experiments, publications or training courses can be accessed. Each resource
14344 has associated metadata, tags and date of modification. The client creates
14345 and manages a local cache of files retrieved enabling quick and reproducible
14346 access.")
14347 (license license:artistic2.0)))
14348
14349 (define-public r-grohmm
14350 (package
14351 (name "r-grohmm")
14352 (version "1.30.1")
14353 (source
14354 (origin
14355 (method url-fetch)
14356 (uri (bioconductor-uri "groHMM" version))
14357 (sha256
14358 (base32
14359 "0v2mk7xcy483w2nygpmyjp73kj3v5pkk1kf1wr41n33dxqlddqai"))))
14360 (properties `((upstream-name . "groHMM")))
14361 (build-system r-build-system)
14362 (propagated-inputs
14363 (list r-genomeinfodb
14364 r-genomicalignments
14365 r-genomicranges
14366 r-iranges
14367 r-mass
14368 r-rtracklayer
14369 r-s4vectors))
14370 (home-page "https://github.com/Kraus-Lab/groHMM")
14371 (synopsis "GRO-seq analysis pipeline")
14372 (description
14373 "This package provides a pipeline for the analysis of GRO-seq data.")
14374 (license license:gpl3+)))
14375
14376 (define-public r-multiassayexperiment
14377 (package
14378 (name "r-multiassayexperiment")
14379 (version "1.22.0")
14380 (source
14381 (origin
14382 (method url-fetch)
14383 (uri (bioconductor-uri "MultiAssayExperiment" version))
14384 (sha256
14385 (base32
14386 "1wnp52l9vifxn1wzqgndzp9b6ih0s1cflxx1fhw32k32d05cw9q1"))))
14387 (properties
14388 `((upstream-name . "MultiAssayExperiment")))
14389 (build-system r-build-system)
14390 (propagated-inputs
14391 (list r-biobase
14392 r-biocgenerics
14393 r-genomicranges
14394 r-iranges
14395 r-s4vectors
14396 r-summarizedexperiment
14397 r-tidyr))
14398 (native-inputs
14399 (list r-knitr))
14400 (home-page "https://waldronlab.io/MultiAssayExperiment/")
14401 (synopsis "Integration of multi-omics experiments in Bioconductor")
14402 (description
14403 "MultiAssayExperiment harmonizes data management of multiple assays
14404 performed on an overlapping set of specimens. It provides a familiar
14405 Bioconductor user experience by extending concepts from
14406 @code{SummarizedExperiment}, supporting an open-ended mix of standard data
14407 classes for individual assays, and allowing subsetting by genomic ranges or
14408 rownames.")
14409 (license license:artistic2.0)))
14410
14411 (define-public r-bioconcotk
14412 (package
14413 (name "r-bioconcotk")
14414 (version "1.16.0")
14415 (source
14416 (origin
14417 (method url-fetch)
14418 (uri (bioconductor-uri "BiocOncoTK" version))
14419 (sha256
14420 (base32
14421 "1alplszw84vqa1mvzp996f94s40scmh4qwbrqhg43hrnyvbnq7pi"))))
14422 (properties `((upstream-name . "BiocOncoTK")))
14423 (build-system r-build-system)
14424 (propagated-inputs
14425 (list r-bigrquery
14426 r-car
14427 r-complexheatmap
14428 r-curatedtcgadata
14429 r-dbi
14430 r-dplyr
14431 r-dt
14432 r-genomicfeatures
14433 r-genomicranges
14434 r-ggplot2
14435 r-ggpubr
14436 r-graph
14437 r-httr
14438 r-iranges
14439 r-magrittr
14440 r-plyr
14441 r-rgraphviz
14442 r-rjson
14443 r-s4vectors
14444 r-scales
14445 r-shiny
14446 r-summarizedexperiment))
14447 (native-inputs
14448 (list r-knitr))
14449 (home-page "https://bioconductor.org/packages/BiocOncoTK")
14450 (synopsis "Bioconductor components for general cancer genomics")
14451 (description
14452 "The purpose of this package is to provide a central interface to various
14453 tools for genome-scale analysis of cancer studies.")
14454 (license license:artistic2.0)))
14455
14456 (define-public r-biocor
14457 (package
14458 (name "r-biocor")
14459 (version "1.20.0")
14460 (source
14461 (origin
14462 (method url-fetch)
14463 (uri (bioconductor-uri "BioCor" version))
14464 (sha256
14465 (base32
14466 "004mksswampwisljcdz6fswwbgdjdii3y86gjzib0gf8v4w7w4q3"))))
14467 (properties `((upstream-name . "BioCor")))
14468 (build-system r-build-system)
14469 (propagated-inputs
14470 (list r-biocparallel r-gseabase r-matrix))
14471 (native-inputs
14472 (list r-knitr))
14473 (home-page "https://llrs.github.io/BioCor/")
14474 (synopsis "Functional similarities")
14475 (description
14476 "This package provides tools to calculate functional similarities based
14477 on the pathways described on KEGG and REACTOME or in gene sets. These
14478 similarities can be calculated for pathways or gene sets, genes, or clusters
14479 and combined with other similarities. They can be used to improve networks,
14480 gene selection, testing relationships, and so on.")
14481 (license license:expat)))
14482
14483 (define-public r-biocpkgtools
14484 (package
14485 (name "r-biocpkgtools")
14486 (version "1.14.1")
14487 (source
14488 (origin
14489 (method url-fetch)
14490 (uri (bioconductor-uri "BiocPkgTools" version))
14491 (sha256
14492 (base32
14493 "0akryshjdn227a8ir8r0lb59v060h58rhy5vjmdxax8p81ajzxkd"))))
14494 (properties `((upstream-name . "BiocPkgTools")))
14495 (build-system r-build-system)
14496 (propagated-inputs
14497 (list r-biocfilecache
14498 r-biocmanager
14499 r-biocviews
14500 r-dplyr
14501 r-dt
14502 r-gh
14503 r-graph
14504 r-htmltools
14505 r-htmlwidgets
14506 r-httr
14507 r-igraph
14508 r-jsonlite
14509 r-magrittr
14510 r-rbgl
14511 r-readr
14512 r-rlang
14513 r-rvest
14514 r-stringr
14515 r-tibble
14516 r-tidyr
14517 r-tidyselect
14518 r-xml2))
14519 (native-inputs
14520 (list r-knitr))
14521 (home-page "https://github.com/seandavi/BiocPkgTools")
14522 (synopsis "Collection of tools for learning about Bioconductor packages")
14523 (description
14524 "Bioconductor has a rich ecosystem of metadata around packages, usage,
14525 and build status. This package is a simple collection of functions to access
14526 that metadata from R. The goal is to expose metadata for data mining and
14527 value-added functionality such as package searching, text mining, and
14528 analytics on packages.")
14529 (license license:expat)))
14530
14531 (define-public r-biocset
14532 (package
14533 (name "r-biocset")
14534 (version "1.10.0")
14535 (source
14536 (origin
14537 (method url-fetch)
14538 (uri (bioconductor-uri "BiocSet" version))
14539 (sha256
14540 (base32
14541 "1ghba7020inrdxlbrrgds9gjymjxjma2p89b9lgkjin89zalqglh"))))
14542 (properties `((upstream-name . "BiocSet")))
14543 (build-system r-build-system)
14544 (propagated-inputs
14545 (list r-annotationdbi
14546 r-biocio
14547 r-dplyr
14548 r-keggrest
14549 r-ontologyindex
14550 r-plyr
14551 r-rlang
14552 r-s4vectors
14553 r-tibble
14554 r-tidyr))
14555 (native-inputs
14556 (list r-knitr))
14557 (home-page
14558 "https://bioconductor.org/packages/BiocSet")
14559 (synopsis
14560 "Representing Different Biological Sets")
14561 (description
14562 "BiocSet displays different biological sets in a triple tibble format.
14563 These three tibbles are @code{element}, @code{set}, and @code{elementset}.
14564 The user has the ability to activate one of these three tibbles to perform
14565 common functions from the @code{dplyr} package. Mapping functionality and
14566 accessing web references for elements/sets are also available in BiocSet.")
14567 (license license:artistic2.0)))
14568
14569 (define-public r-biocworkflowtools
14570 (package
14571 (name "r-biocworkflowtools")
14572 (version "1.22.0")
14573 (source
14574 (origin
14575 (method url-fetch)
14576 (uri (bioconductor-uri "BiocWorkflowTools" version))
14577 (sha256
14578 (base32
14579 "1jj4icpkhrv9f6yx3vghkpdil1pfghf3yvc9756wmndvhs100r5l"))))
14580 (properties
14581 `((upstream-name . "BiocWorkflowTools")))
14582 (build-system r-build-system)
14583 (propagated-inputs
14584 (list r-biocstyle
14585 r-bookdown
14586 r-git2r
14587 r-httr
14588 r-knitr
14589 r-rmarkdown
14590 r-rstudioapi
14591 r-stringr
14592 r-usethis))
14593 (native-inputs
14594 (list r-knitr))
14595 (home-page "https://bioconductor.org/packages/BiocWorkflowTools/")
14596 (synopsis "Tools to aid the development of Bioconductor Workflow packages")
14597 (description
14598 "This package provides functions to ease the transition between
14599 Rmarkdown and LaTeX documents when authoring a Bioconductor Workflow.")
14600 (license license:expat)))
14601
14602 (define-public r-biodist
14603 (package
14604 (name "r-biodist")
14605 (version "1.68.0")
14606 (source
14607 (origin
14608 (method url-fetch)
14609 (uri (bioconductor-uri "bioDist" version))
14610 (sha256
14611 (base32
14612 "04nrvrcvpj0sn8p2i8n3ggsl2s7r4na576174i7bn1sj21vr0yb0"))))
14613 (properties `((upstream-name . "bioDist")))
14614 (build-system r-build-system)
14615 (propagated-inputs
14616 (list r-biobase r-kernsmooth))
14617 (home-page "https://bioconductor.org/packages/bioDist/")
14618 (synopsis "Different distance measures")
14619 (description
14620 "This package provides a collection of software tools for calculating
14621 distance measures.")
14622 (license license:artistic2.0)))
14623
14624 (define-public r-pcatools
14625 (package
14626 (name "r-pcatools")
14627 (version "2.8.0")
14628 (source
14629 (origin
14630 (method url-fetch)
14631 (uri (bioconductor-uri "PCAtools" version))
14632 (sha256
14633 (base32
14634 "03s4dh008fys2rrcpzanc0892p63f6jyyvzc9m42jbi1dlkyx26v"))))
14635 (properties `((upstream-name . "PCAtools")))
14636 (build-system r-build-system)
14637 (propagated-inputs
14638 (list r-beachmat
14639 r-bh
14640 r-biocparallel
14641 r-biocsingular
14642 r-cowplot
14643 r-delayedarray
14644 r-delayedmatrixstats
14645 r-dqrng
14646 r-ggplot2
14647 r-ggrepel
14648 r-lattice
14649 r-matrix
14650 r-rcpp
14651 r-reshape2))
14652 (native-inputs (list r-knitr))
14653 (home-page "https://github.com/kevinblighe/PCAtools")
14654 (synopsis "PCAtools: everything Principal Components Analysis")
14655 (description
14656 "@dfn{Principal Component Analysis} (PCA) extracts the fundamental
14657 structure of the data without the need to build any model to represent it.
14658 This \"summary\" of the data is arrived at through a process of reduction that
14659 can transform the large number of variables into a lesser number that are
14660 uncorrelated (i.e. the 'principal components'), while at the same time being
14661 capable of easy interpretation on the original data. PCAtools provides
14662 functions for data exploration via PCA, and allows the user to generate
14663 publication-ready figures. PCA is performed via @code{BiocSingular}; users
14664 can also identify an optimal number of principal components via different
14665 metrics, such as the elbow method and Horn's parallel analysis, which has
14666 relevance for data reduction in single-cell RNA-seq (scRNA-seq) and high
14667 dimensional mass cytometry data.")
14668 (license license:gpl3)))
14669
14670 (define-public r-rgreat
14671 (package
14672 (name "r-rgreat")
14673 (version "1.28.0")
14674 (source
14675 (origin
14676 (method url-fetch)
14677 (uri (bioconductor-uri "rGREAT" version))
14678 (sha256
14679 (base32
14680 "0px72r8mjimf5mxfwb9qz46kqpgjw5gaqq41hy0212ymjd8whaky"))))
14681 (properties `((upstream-name . "rGREAT")))
14682 (build-system r-build-system)
14683 (propagated-inputs
14684 (list r-genomicranges r-getoptlong r-iranges r-rcurl r-rjson))
14685 (native-inputs (list r-knitr))
14686 (home-page "https://github.com/jokergoo/rGREAT")
14687 (synopsis "Client for GREAT analysis")
14688 (description
14689 "This package makes GREAT (Genomic Regions Enrichment of Annotations
14690 Tool) analysis automatic by constructing a HTTP POST request according to
14691 user's input and automatically retrieving results from GREAT web server.")
14692 (license license:expat)))
14693
14694 (define-public r-m3c
14695 (package
14696 (name "r-m3c")
14697 (version "1.18.0")
14698 (source
14699 (origin
14700 (method url-fetch)
14701 (uri (bioconductor-uri "M3C" version))
14702 (sha256
14703 (base32
14704 "120gd7gkgc98d1l6hl2ij799b3jksdnga5iyb44ps9mbc79hl012"))))
14705 (properties `((upstream-name . "M3C")))
14706 (build-system r-build-system)
14707 (propagated-inputs
14708 (list r-cluster
14709 r-corpcor
14710 r-doparallel
14711 r-dosnow
14712 r-foreach
14713 r-ggplot2
14714 r-matrix
14715 r-matrixcalc
14716 r-rtsne
14717 r-umap))
14718 (native-inputs (list r-knitr))
14719 (home-page "https://bioconductor.org/packages/M3C")
14720 (synopsis "Monte Carlo reference-based consensus clustering")
14721 (description
14722 "M3C is a consensus clustering algorithm that uses a Monte Carlo
14723 simulation to eliminate overestimation of @code{K} and can reject the null
14724 hypothesis @code{K=1}.")
14725 (license license:agpl3+)))
14726
14727 (define-public r-icens
14728 (package
14729 (name "r-icens")
14730 (version "1.68.0")
14731 (source
14732 (origin
14733 (method url-fetch)
14734 (uri (bioconductor-uri "Icens" version))
14735 (sha256
14736 (base32
14737 "0jnbfv7js8bw0ginql90krrpk0p54whj9igw0zk3jc45jqvj2vyc"))))
14738 (properties `((upstream-name . "Icens")))
14739 (build-system r-build-system)
14740 (propagated-inputs
14741 (list r-survival))
14742 (home-page "https://bioconductor.org/packages/Icens")
14743 (synopsis "NPMLE for censored and truncated data")
14744 (description
14745 "This package provides many functions for computing the
14746 @dfn{nonparametric maximum likelihood estimator} (NPMLE) for censored and
14747 truncated data.")
14748 (license license:artistic2.0)))
14749
14750 ;; This is a CRAN package but it depends on r-icens, which is published on
14751 ;; Bioconductor.
14752 (define-public r-interval
14753 (package
14754 (name "r-interval")
14755 (version "1.1-0.8")
14756 (source
14757 (origin
14758 (method url-fetch)
14759 (uri (cran-uri "interval" version))
14760 (sha256
14761 (base32
14762 "0g0k9nri19p3y3s70ic1w3i3sxq8fbsxaikd7c4d6afqzr8hk2nl"))))
14763 (properties `((upstream-name . "interval")))
14764 (build-system r-build-system)
14765 (propagated-inputs
14766 (list r-icens r-mlecens r-perm r-survival))
14767 (home-page "https://cran.r-project.org/web/packages/interval/")
14768 (synopsis "Weighted Logrank tests and NPMLE for interval censored data")
14769 (description
14770 "This package provides functions to fit nonparametric survival curves,
14771 plot them, and perform logrank or Wilcoxon type tests.")
14772 (license license:gpl2+)))
14773
14774 ;; This is a CRAN package, but it depends on r-interval, which depends on a
14775 ;; Bioconductor package.
14776 (define-public r-fhtest
14777 (package
14778 (name "r-fhtest")
14779 (version "1.5")
14780 (source
14781 (origin
14782 (method url-fetch)
14783 (uri (cran-uri "FHtest" version))
14784 (sha256
14785 (base32
14786 "00mql2r4f5hxhdqf27q3x9s5rz2zzakx2myym97b1w1s7c5znl4q"))))
14787 (properties `((upstream-name . "FHtest")))
14788 (build-system r-build-system)
14789 (propagated-inputs
14790 (list r-interval r-kmsurv r-mass r-perm r-survival))
14791 (home-page "https://cran.r-project.org/web/packages/FHtest/")
14792 (synopsis "Tests for survival data based on the Fleming-Harrington class")
14793 (description
14794 "This package provides functions to compare two or more survival curves
14795 with:
14796
14797 @itemize
14798 @item The Fleming-Harrington test for right-censored data based on
14799 permutations and on counting processes.
14800 @item An extension of the Fleming-Harrington test for interval-censored data
14801 based on a permutation distribution and on a score vector distribution.
14802 @end itemize
14803 ")
14804 (license license:gpl2+)))
14805
14806 (define-public r-fourcseq
14807 (package
14808 (name "r-fourcseq")
14809 (version "1.24.0")
14810 (source
14811 (origin
14812 (method url-fetch)
14813 (uri (bioconductor-uri "FourCSeq" version))
14814 (sha256
14815 (base32 "1rwdphcj26xis47n8j1fiyc3k3qbsgn0bhf5bhgy5vm11yqyvicb"))))
14816 (properties `((upstream-name . "FourCSeq")))
14817 (build-system r-build-system)
14818 (propagated-inputs
14819 (list r-biobase
14820 r-biostrings
14821 r-deseq2
14822 r-fda
14823 r-genomicalignments
14824 r-genomicranges
14825 r-ggbio
14826 r-ggplot2
14827 r-gtools
14828 r-lsd
14829 r-matrix
14830 r-reshape2
14831 r-rsamtools
14832 r-rtracklayer
14833 r-summarizedexperiment))
14834 (native-inputs
14835 (list r-knitr))
14836 (home-page
14837 "https://bioconductor.org/packages/release/bioc/html/FourCSeq.html")
14838 (synopsis "Analysis of multiplexed 4C sequencing data")
14839 (description
14840 "This package is an R package dedicated to the analysis of (multiplexed)
14841 4C sequencing data. @code{r-fourcseq} provides a pipeline to detect specific
14842 interactions between DNA elements and identify differential interactions
14843 between conditions. The statistical analysis in R starts with individual bam
14844 files for each sample as inputs. To obtain these files, the package contains
14845 a Python script to demultiplex libraries and trim off primer sequences. With
14846 a standard alignment software the required bam files can be then be
14847 generated.")
14848 (license license:gpl3+)))
14849
14850 (define-public r-preprocesscore
14851 (package
14852 (name "r-preprocesscore")
14853 (version "1.58.0")
14854 (source
14855 (origin
14856 (method url-fetch)
14857 (uri (bioconductor-uri "preprocessCore" version))
14858 (sha256
14859 (base32
14860 "1sqpp00hhv6gypflrjw8qpqyqgdcp29m86gmi1di1574x8casdkf"))))
14861 (properties
14862 `((upstream-name . "preprocessCore")))
14863 (build-system r-build-system)
14864 (home-page "https://github.com/bmbolstad/preprocessCore")
14865 (synopsis "Collection of pre-processing functions")
14866 (description
14867 "This package provides a library of core pre-processing and normalization
14868 routines.")
14869 (license license:lgpl2.0+)))
14870
14871 (define-public r-s4vectors
14872 (package
14873 (name "r-s4vectors")
14874 (version "0.34.0")
14875 (source (origin
14876 (method url-fetch)
14877 (uri (bioconductor-uri "S4Vectors" version))
14878 (sha256
14879 (base32
14880 "0j3ybhzdhlhw8527nks3mjja28asjya2n0m0rjkh4bw66rkfys4k"))))
14881 (properties
14882 `((upstream-name . "S4Vectors")))
14883 (build-system r-build-system)
14884 (propagated-inputs
14885 (list r-biocgenerics))
14886 (home-page "https://bioconductor.org/packages/S4Vectors")
14887 (synopsis "S4 implementation of vectors and lists")
14888 (description
14889 "The S4Vectors package defines the @code{Vector} and @code{List} virtual
14890 classes and a set of generic functions that extend the semantic of ordinary
14891 vectors and lists in R. Package developers can easily implement vector-like
14892 or list-like objects as concrete subclasses of @code{Vector} or @code{List}.
14893 In addition, a few low-level concrete subclasses of general interest (e.g.
14894 @code{DataFrame}, @code{Rle}, and @code{Hits}) are implemented in the
14895 S4Vectors package itself.")
14896 (license license:artistic2.0)))
14897
14898 ;; This is a CRAN package, but it depends on preprocessorcore, which is a
14899 ;; Bioconductor package.
14900 (define-public r-wgcna
14901 (package
14902 (name "r-wgcna")
14903 (version "1.71")
14904 (source
14905 (origin
14906 (method url-fetch)
14907 (uri (cran-uri "WGCNA" version))
14908 (sha256
14909 (base32
14910 "027pkc4pyn9bifqbjs05318gvlm06mffw016j50n59wfi2g39x91"))))
14911 (properties `((upstream-name . "WGCNA")))
14912 (build-system r-build-system)
14913 (propagated-inputs
14914 (list r-annotationdbi
14915 r-doparallel
14916 r-dynamictreecut
14917 r-fastcluster
14918 r-foreach
14919 r-go-db
14920 r-hmisc
14921 r-impute
14922 r-rcpp
14923 r-survival
14924 r-matrixstats
14925 r-preprocesscore))
14926 (home-page
14927 "http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
14928 (synopsis "Weighted correlation network analysis")
14929 (description
14930 "This package provides functions necessary to perform Weighted
14931 Correlation Network Analysis on high-dimensional data. It includes functions
14932 for rudimentary data cleaning, construction and summarization of correlation
14933 networks, module identification and functions for relating both variables and
14934 modules to sample traits. It also includes a number of utility functions for
14935 data manipulation and visualization.")
14936 (license license:gpl2+)))
14937
14938 (define-public r-rgraphviz
14939 (package
14940 (name "r-rgraphviz")
14941 (version "2.40.0")
14942 (source
14943 (origin
14944 (method url-fetch)
14945 (uri (bioconductor-uri "Rgraphviz" version))
14946 (sha256
14947 (base32
14948 "1r6ff7w2bmyfl1vzjvpgnhb8f5arwjlpab8fw5ph8fgyiqbcx94l"))))
14949 (properties `((upstream-name . "Rgraphviz")))
14950 (build-system r-build-system)
14951 (arguments
14952 `(#:phases
14953 (modify-phases %standard-phases
14954 (add-after 'unpack 'make-reproducible
14955 (lambda _
14956 ;; The replacement value is taken from src/graphviz/builddate.h
14957 (substitute* "src/graphviz/configure"
14958 (("VERSION_DATE=.*")
14959 "VERSION_DATE=20200427.2341\n"))
14960 #t)))))
14961 ;; FIXME: Rgraphviz bundles the sources of an older variant of
14962 ;; graphviz. It does not build with the latest version of graphviz, so
14963 ;; we do not add graphviz to the inputs.
14964 (inputs (list zlib))
14965 (propagated-inputs
14966 (list r-graph))
14967 (native-inputs
14968 (list pkg-config))
14969 (home-page "https://bioconductor.org/packages/Rgraphviz")
14970 (synopsis "Plotting capabilities for R graph objects")
14971 (description
14972 "This package interfaces R with the graphviz library for plotting R graph
14973 objects from the @code{graph} package.")
14974 (license license:epl1.0)))
14975
14976 (define-public r-fishpond
14977 (package
14978 (name "r-fishpond")
14979 (version "2.2.0")
14980 (source (origin
14981 (method url-fetch)
14982 (uri (bioconductor-uri "fishpond" version))
14983 (sha256
14984 (base32
14985 "0svp4yh0srhzbbxy1grchzdd9yzchadjp3d2sy2n9xpwxzpkhrym"))))
14986 (properties `((upstream-name . "fishpond")))
14987 (build-system r-build-system)
14988 (inputs (list zlib))
14989 (propagated-inputs
14990 (list r-abind
14991 r-genomicranges
14992 r-gtools
14993 r-iranges
14994 r-jsonlite
14995 r-matrix
14996 r-matrixstats
14997 r-qvalue
14998 r-rcpp
14999 r-s4vectors
15000 r-singlecellexperiment
15001 r-summarizedexperiment
15002 r-svmisc))
15003 (native-inputs (list r-knitr))
15004 (home-page "https://github.com/mikelove/fishpond")
15005 (synopsis "Downstream methods and tools for expression data")
15006 (description
15007 "The @code{fishpond} package contains methods for differential transcript
15008 and gene expression analysis of RNA-seq data using inferential replicates for
15009 uncertainty of abundance quantification, as generated by Gibbs sampling or
15010 bootstrap sampling. Also the package contains a number of utilities for
15011 working with Salmon and Alevin quantification files.")
15012 (license license:gpl2)))
15013
15014 (define-public r-fithic
15015 (package
15016 (name "r-fithic")
15017 (version "1.22.0")
15018 (source (origin
15019 (method url-fetch)
15020 (uri (bioconductor-uri "FitHiC" version))
15021 (sha256
15022 (base32
15023 "0iv14yx3g7shzl8qrjknyxbmiylj51sbd1wzr1ff9lc5shgl55kq"))))
15024 (properties `((upstream-name . "FitHiC")))
15025 (build-system r-build-system)
15026 (propagated-inputs
15027 (list r-data-table r-fdrtool r-rcpp))
15028 (native-inputs
15029 (list r-knitr))
15030 (home-page "https://bioconductor.org/packages/FitHiC")
15031 (synopsis "Confidence estimation for intra-chromosomal contact maps")
15032 (description
15033 "Fit-Hi-C is a tool for assigning statistical confidence estimates to
15034 intra-chromosomal contact maps produced by genome-wide genome architecture
15035 assays such as Hi-C.")
15036 (license license:gpl2+)))
15037
15038 (define-public r-hitc
15039 (package
15040 (name "r-hitc")
15041 (version "1.40.0")
15042 (source (origin
15043 (method url-fetch)
15044 (uri (bioconductor-uri "HiTC" version))
15045 (sha256
15046 (base32
15047 "1pkshlrra26cad0hf8a54brlkazni6rsvrplh36azxapx5rpps4s"))))
15048 (properties `((upstream-name . "HiTC")))
15049 (build-system r-build-system)
15050 (propagated-inputs
15051 (list r-biostrings
15052 r-genomeinfodb
15053 r-genomicranges
15054 r-iranges
15055 r-matrix
15056 r-rcolorbrewer
15057 r-rtracklayer))
15058 (home-page "https://bioconductor.org/packages/HiTC")
15059 (synopsis "High throughput chromosome conformation capture analysis")
15060 (description
15061 "The HiTC package was developed to explore high-throughput \"C\" data
15062 such as 5C or Hi-C. Dedicated R classes as well as standard methods for
15063 quality controls, normalization, visualization, and further analysis are also
15064 provided.")
15065 (license license:artistic2.0)))
15066
15067 (define-public r-hdf5array
15068 (package
15069 (name "r-hdf5array")
15070 (version "1.24.2")
15071 (source
15072 (origin
15073 (method url-fetch)
15074 (uri (bioconductor-uri "HDF5Array" version))
15075 (sha256
15076 (base32
15077 "1dzx5463ig3ag72a47slc4jbq5id11w77cj0zgzr85h0dbxklrr9"))))
15078 (properties `((upstream-name . "HDF5Array")))
15079 (build-system r-build-system)
15080 (inputs
15081 (list zlib))
15082 (propagated-inputs
15083 (list r-biocgenerics
15084 r-delayedarray
15085 r-iranges
15086 r-matrix
15087 r-rhdf5
15088 r-rhdf5filters
15089 r-rhdf5lib
15090 r-s4vectors))
15091 (home-page "https://bioconductor.org/packages/HDF5Array")
15092 (synopsis "HDF5 back end for DelayedArray objects")
15093 (description "This package provides an array-like container for convenient
15094 access and manipulation of HDF5 datasets. It supports delayed operations and
15095 block processing.")
15096 (license license:artistic2.0)))
15097
15098 (define-public r-rhdf5lib
15099 (package
15100 (name "r-rhdf5lib")
15101 (version "1.18.2")
15102 (source
15103 (origin
15104 (method url-fetch)
15105 (uri (bioconductor-uri "Rhdf5lib" version))
15106 (sha256
15107 (base32
15108 "1jpb8h7c724yz51zjfqs90bsqxgmy1rry2ra9qamsgqpr2j9764g"))
15109 (modules '((guix build utils)))
15110 (snippet
15111 '(begin
15112 ;; Delete bundled binaries
15113 (delete-file-recursively "src/wininclude/")
15114 (delete-file-recursively "src/winlib/")
15115 (delete-file "src/hdf5small_cxx_hl_1.10.7.tar.gz")))))
15116 (properties `((upstream-name . "Rhdf5lib")))
15117 (build-system r-build-system)
15118 (arguments
15119 `(#:phases
15120 (modify-phases %standard-phases
15121 (add-after 'unpack 'do-not-use-bundled-hdf5
15122 (lambda* (#:key inputs #:allow-other-keys)
15123 (for-each delete-file '("configure" "configure.ac"))
15124 (substitute* "R/zzz.R"
15125 (("return\\(links\\)") "return(\" -lz\")"))
15126 (with-directory-excursion "src"
15127 (invoke "tar" "xvf" (assoc-ref inputs "hdf5-source"))
15128 (rename-file (string-append "hdf5-" ,(package-version hdf5-1.10))
15129 "hdf5")
15130 ;; Remove timestamp and host system information to make
15131 ;; the build reproducible.
15132 (substitute* "hdf5/src/libhdf5.settings.in"
15133 (("Configured on: @CONFIG_DATE@")
15134 "Configured on: Guix")
15135 (("Uname information:.*")
15136 "Uname information: Linux\n")
15137 ;; Remove unnecessary store reference.
15138 (("C Compiler:.*")
15139 "C Compiler: GCC\n"))
15140 (rename-file "hdf5/src/libhdf5.settings.in"
15141 "hdf5/src/libhdf5.settings")
15142 (rename-file "Makevars.in" "Makevars")
15143 (substitute* "Makevars"
15144 (("@BUILD_HDF5@") "")
15145 (("@COPY_SZIP@") "")
15146 (("@ZLIB_LIB@") "-lz")
15147 (("@ZLIB_INCLUDE@") "")
15148 (("HDF5_CXX_LIB=.*")
15149 (string-append "HDF5_CXX_LIB="
15150 (assoc-ref inputs "hdf5") "/lib/libhdf5_cpp.a\n"))
15151 (("HDF5_LIB=.*")
15152 (string-append "HDF5_LIB="
15153 (assoc-ref inputs "hdf5") "/lib/libhdf5.a\n"))
15154 (("HDF5_CXX_INCLUDE=.*") "HDF5_CXX_INCLUDE=./hdf5/c++/src\n")
15155 (("HDF5_INCLUDE=.*") "HDF5_INCLUDE=./hdf5/src\n")
15156 (("HDF5_HL_INCLUDE=.*") "HDF5_HL_INCLUDE=./hdf5/hl/src\n")
15157 (("HDF5_HL_CXX_INCLUDE=.*") "HDF5_HL_CXX_INCLUDE=./hdf5/hl/c++/src\n")
15158 (("HDF5_HL_LIB=.*")
15159 (string-append "HDF5_HL_LIB="
15160 (assoc-ref inputs "hdf5") "/lib/libhdf5_hl.a\n"))
15161 (("HDF5_HL_CXX_LIB=.*")
15162 (string-append "HDF5_HL_CXX_LIB="
15163 (assoc-ref inputs "hdf5") "/lib/libhdf5_hl_cpp.a\n"))
15164 ;; szip is non-free software
15165 (("cp \"\\$\\{SZIP_LIB\\}.*") "")
15166 (("PKG_LIBS =.*") "PKG_LIBS = -lz -lhdf5\n"))))))))
15167 (propagated-inputs
15168 (list hdf5-1.10 zlib))
15169 (native-inputs
15170 `(("hdf5-source" ,(package-source hdf5-1.10))
15171 ("r-knitr" ,r-knitr)))
15172 (home-page "https://bioconductor.org/packages/Rhdf5lib")
15173 (synopsis "HDF5 library as an R package")
15174 (description "This package provides C and C++ HDF5 libraries for use in R
15175 packages.")
15176 (license license:artistic2.0)))
15177
15178 (define-public r-beachmat
15179 (package
15180 (name "r-beachmat")
15181 (version "2.12.0")
15182 (source
15183 (origin
15184 (method url-fetch)
15185 (uri (bioconductor-uri "beachmat" version))
15186 (sha256
15187 (base32
15188 "0fc6vvjjq1mfjfj2zqkap3rwvinnfqjs0cpk1447sspvd1rjya8c"))))
15189 (build-system r-build-system)
15190 (propagated-inputs
15191 (list r-biocgenerics r-delayedarray r-matrix r-rcpp))
15192 (native-inputs
15193 (list r-knitr))
15194 (home-page "https://bioconductor.org/packages/beachmat")
15195 (synopsis "Compiling Bioconductor to handle each matrix type")
15196 (description "This package provides a consistent C++ class interface for a
15197 variety of commonly used matrix types, including sparse and HDF5-backed
15198 matrices.")
15199 (license license:gpl3)))
15200
15201 ;; This package includes files that have been taken from kentutils. Some
15202 ;; parts of kentutils are not released under a free license, but this package
15203 ;; only uses files that are also found in the free parts of kentutils.
15204 (define-public r-cner
15205 (package
15206 (name "r-cner")
15207 (version "1.32.0")
15208 (source
15209 (origin
15210 (method url-fetch)
15211 (uri (bioconductor-uri "CNEr" version))
15212 (sha256
15213 (base32 "05zvr5fv8nprxqh2wvvrlf737dq242i20p1rpyqjaxihl6xl62kq"))))
15214 (properties `((upstream-name . "CNEr")))
15215 (build-system r-build-system)
15216 (inputs (list zlib))
15217 (propagated-inputs
15218 (list r-annotate
15219 r-biocgenerics
15220 r-biostrings
15221 r-dbi
15222 r-genomeinfodb
15223 r-genomicalignments
15224 r-genomicranges
15225 r-ggplot2
15226 r-go-db
15227 r-iranges
15228 r-keggrest
15229 r-powerlaw
15230 r-r-utils
15231 r-readr
15232 r-reshape2
15233 r-rsqlite
15234 r-rtracklayer
15235 r-s4vectors
15236 r-xvector))
15237 (native-inputs
15238 (list r-knitr))
15239 (home-page "https://github.com/ge11232002/CNEr")
15240 (synopsis "CNE Detection and Visualization")
15241 (description
15242 "This package provides tools for large-scale identification and
15243 advanced visualization of sets of conserved noncoding elements.")
15244 ;; For all files in src/ucsc "license is hereby granted for all use -
15245 ;; public, private or commercial"; this includes those files that don't
15246 ;; have a license header, because they are included in the free parts of
15247 ;; the kentutils package.
15248 (license (list license:gpl2
15249 (license:non-copyleft
15250 "https://raw.githubusercontent.com/ucscGenomeBrowser/kent/v410_base/src/lib/LICENSE")))))
15251
15252 (define-public r-tfbstools
15253 (package
15254 (name "r-tfbstools")
15255 (version "1.34.0")
15256 (source
15257 (origin
15258 (method url-fetch)
15259 (uri (bioconductor-uri "TFBSTools" version))
15260 (sha256
15261 (base32
15262 "0l6j1r2cx7jfd39qzbyynk4jvzd81ys6yypzxjc97js4kkyrx29w"))))
15263 (properties `((upstream-name . "TFBSTools")))
15264 (build-system r-build-system)
15265 (propagated-inputs
15266 (list r-biobase
15267 r-biocgenerics
15268 r-biocparallel
15269 r-biostrings
15270 r-bsgenome
15271 r-catools
15272 r-cner
15273 r-dbi
15274 r-dirichletmultinomial
15275 r-genomeinfodb
15276 r-genomicranges
15277 r-gtools
15278 r-iranges
15279 r-rsqlite
15280 r-rtracklayer
15281 r-s4vectors
15282 r-seqlogo
15283 r-tfmpvalue
15284 r-xml
15285 r-xvector))
15286 (native-inputs (list r-knitr))
15287 (home-page "https://github.com/ge11232002/TFBSTools")
15288 (synopsis "Transcription factor binding site (TFBS) analysis")
15289 (description
15290 "TFBSTools is a package for the analysis and manipulation of
15291 transcription factor binding sites. It includes matrices conversion
15292 between @dfn{Position Frequency Matrix} (PFM), @dfn{Position Weight
15293 Matrix} (PWM) and @dfn{Information Content Matrix} (ICM). It can also
15294 scan putative TFBS from sequence/alignment, query JASPAR database and
15295 provides a wrapper of de novo motif discovery software.")
15296 (license license:gpl2)))
15297
15298 (define-public r-maftools
15299 (package
15300 (name "r-maftools")
15301 (version "2.12.0")
15302 (source
15303 (origin
15304 (method url-fetch)
15305 (uri (bioconductor-uri "maftools" version))
15306 (sha256
15307 (base32 "1gqfi95v4fs64n4walij0g2kds3fbbwp6lih5yakmgf6kj8fpkk6"))))
15308 (properties `((upstream-name . "maftools")))
15309 (build-system r-build-system)
15310 (propagated-inputs
15311 (list r-data-table
15312 r-dnacopy
15313 r-rcolorbrewer
15314 r-rhtslib
15315 r-survival
15316 r-zlibbioc))
15317 (native-inputs (list r-knitr))
15318 (home-page "https://github.com/PoisonAlien/maftools")
15319 (synopsis "Summarize, analyze and visualize MAF files")
15320 (description
15321 "Analyze and visualize Mutation Annotation Format (MAF) files from large
15322 scale sequencing studies. This package provides various functions to perform
15323 most commonly used analyses in cancer genomics and to create feature rich
15324 customizable visualzations with minimal effort.")
15325 (license license:expat)))
15326
15327 (define-public r-motifmatchr
15328 (package
15329 (name "r-motifmatchr")
15330 (version "1.18.0")
15331 (source
15332 (origin
15333 (method url-fetch)
15334 (uri (bioconductor-uri "motifmatchr" version))
15335 (sha256
15336 (base32
15337 "1ssn00mxwk23zr5na0vcmxvm69i68f0ga0wqlv1nk2isg0wpv878"))))
15338 (properties `((upstream-name . "motifmatchr")))
15339 (build-system r-build-system)
15340 (propagated-inputs
15341 (list r-biostrings
15342 r-bsgenome
15343 r-genomeinfodb
15344 r-genomicranges
15345 r-iranges
15346 r-matrix
15347 r-rcpp
15348 r-rcpparmadillo
15349 r-rsamtools
15350 r-s4vectors
15351 r-summarizedexperiment
15352 r-tfbstools))
15353 (native-inputs (list r-knitr))
15354 (home-page "https://bioconductor.org/packages/motifmatchr")
15355 (synopsis "Fast motif matching in R")
15356 (description
15357 "Quickly find motif matches for many motifs and many sequences.
15358 This package wraps C++ code from the MOODS motif calling library.")
15359 (license license:gpl3)))
15360
15361 (define-public r-chromvar
15362 (package
15363 (name "r-chromvar")
15364 (version "1.18.0")
15365 (source
15366 (origin
15367 (method url-fetch)
15368 (uri (bioconductor-uri "chromVAR" version))
15369 (sha256
15370 (base32 "0vhsvkm4kvln0002f13ayk57f9fmiz1kw9vwpsm1vds1vahd656m"))))
15371 (properties `((upstream-name . "chromVAR")))
15372 (build-system r-build-system)
15373 (propagated-inputs
15374 (list r-biocgenerics
15375 r-biocparallel
15376 r-biostrings
15377 r-bsgenome
15378 r-dt
15379 r-genomeinfodb
15380 r-genomicranges
15381 r-ggplot2
15382 r-iranges
15383 r-matrix
15384 r-miniui
15385 r-nabor
15386 r-plotly
15387 r-rcolorbrewer
15388 r-rcpp
15389 r-rcpparmadillo
15390 r-rsamtools
15391 r-rtsne
15392 r-s4vectors
15393 r-shiny
15394 r-summarizedexperiment
15395 r-tfbstools))
15396 (native-inputs (list r-knitr))
15397 (home-page "https://bioconductor.org/packages/release/bioc/html/chromVAR.html")
15398 (synopsis "Determine chromatin variation across regions")
15399 (description
15400 "This package @code{r-chromvar} determines variation in chromatin
15401 accessibility across sets of annotations or peaks. @code{r-chromvar} is
15402 designed primarily for single-cell or sparse chromatin accessibility data like
15403 single cell assay for transposase-accessible chromatin using
15404 sequencing (@code{scATAC-seq} or sparse bulk ATAC or deoxyribonuclease
15405 sequence (@code{DNAse-seq}) experiments.")
15406 (license license:expat)))
15407
15408 (define-public r-singlecellexperiment
15409 (package
15410 (name "r-singlecellexperiment")
15411 (version "1.18.0")
15412 (source
15413 (origin
15414 (method url-fetch)
15415 (uri (bioconductor-uri "SingleCellExperiment" version))
15416 (sha256
15417 (base32
15418 "0s1aqbvlfnzijzfywjfpinqmxqj269dq2d3zlgf4xw9c1nwwnv7p"))))
15419 (properties
15420 `((upstream-name . "SingleCellExperiment")))
15421 (build-system r-build-system)
15422 (propagated-inputs
15423 (list r-biocgenerics r-delayedarray r-genomicranges r-s4vectors
15424 r-summarizedexperiment))
15425 (native-inputs
15426 (list r-knitr))
15427 (home-page "https://bioconductor.org/packages/SingleCellExperiment")
15428 (synopsis "S4 classes for single cell data")
15429 (description "This package defines an S4 class for storing data from
15430 single-cell experiments. This includes specialized methods to store and
15431 retrieve spike-in information, dimensionality reduction coordinates and size
15432 factors for each cell, along with the usual metadata for genes and
15433 libraries.")
15434 (license license:gpl3)))
15435
15436 (define-public r-singler
15437 (package
15438 (name "r-singler")
15439 (version "1.10.0")
15440 (source
15441 (origin
15442 (method url-fetch)
15443 (uri (bioconductor-uri "SingleR" version))
15444 (sha256
15445 (base32 "0qbyc6ygw2xv3li9187i3axsw6ihwpa7pkvxvy9cagv7xck45c5y"))))
15446 (properties `((upstream-name . "SingleR")))
15447 (build-system r-build-system)
15448 (propagated-inputs
15449 (list r-beachmat
15450 r-biocneighbors
15451 r-biocparallel
15452 r-biocsingular
15453 r-delayedarray
15454 r-delayedmatrixstats
15455 r-matrix
15456 r-rcpp
15457 r-s4vectors
15458 r-summarizedexperiment))
15459 (native-inputs (list r-knitr))
15460 (home-page "https://github.com/LTLA/SingleR")
15461 (synopsis "Reference-based single-cell RNA-seq annotation")
15462 (description
15463 "This package performs unbiased cell type recognition from single-cell
15464 RNA sequencing data, by leveraging reference transcriptomic datasets of pure
15465 cell types to infer the cell of origin of each single cell independently.")
15466 (license license:gpl3)))
15467
15468 (define-public r-scuttle
15469 (package
15470 (name "r-scuttle")
15471 (version "1.6.3")
15472 (source
15473 (origin
15474 (method url-fetch)
15475 (uri (bioconductor-uri "scuttle" version))
15476 (sha256
15477 (base32
15478 "1w1jy5fqkp2d03lp84d49fsksnl0pcg0wgqyd49d5k1mipdw4671"))))
15479 (properties `((upstream-name . "scuttle")))
15480 (build-system r-build-system)
15481 (propagated-inputs
15482 (list r-beachmat
15483 r-biocgenerics
15484 r-biocparallel
15485 r-delayedarray
15486 r-delayedmatrixstats
15487 r-genomicranges
15488 r-matrix
15489 r-rcpp
15490 r-s4vectors
15491 r-singlecellexperiment
15492 r-summarizedexperiment))
15493 (native-inputs (list r-knitr))
15494 (home-page "https://bioconductor.org/packages/scuttle")
15495 (synopsis "Single-cell RNA-Seq analysis utilities")
15496 (description
15497 "This package provides basic utility functions for performing single-cell
15498 analyses, focusing on simple normalization, quality control and data
15499 transformations. It also provides some helper functions to assist development
15500 of other packages.")
15501 (license license:gpl3)))
15502
15503 (define-public r-scater
15504 (package
15505 (name "r-scater")
15506 (version "1.24.0")
15507 (source (origin
15508 (method url-fetch)
15509 (uri (bioconductor-uri "scater" version))
15510 (sha256
15511 (base32
15512 "0dqirggw7my5nq4ln9q0ya18ciqplkz9gx318ffias9ag3yii5rw"))))
15513 (build-system r-build-system)
15514 (propagated-inputs
15515 (list r-beachmat
15516 r-biocgenerics
15517 r-biocneighbors
15518 r-biocparallel
15519 r-biocsingular
15520 r-delayedarray
15521 r-delayedmatrixstats
15522 r-ggbeeswarm
15523 r-ggplot2
15524 r-ggrepel
15525 r-gridextra
15526 r-matrix
15527 r-rcolorbrewer
15528 r-rcppml
15529 r-rlang
15530 r-rtsne
15531 r-s4vectors
15532 r-scuttle
15533 r-singlecellexperiment
15534 r-summarizedexperiment
15535 r-viridis))
15536 (native-inputs
15537 (list r-knitr))
15538 (home-page "https://github.com/davismcc/scater")
15539 (synopsis "Single-cell analysis toolkit for gene expression data in R")
15540 (description "This package provides a collection of tools for doing
15541 various analyses of single-cell RNA-seq gene expression data, with a focus on
15542 quality control.")
15543 (license license:gpl2+)))
15544
15545 (define-public r-scran
15546 (package
15547 (name "r-scran")
15548 (version "1.24.1")
15549 (source
15550 (origin
15551 (method url-fetch)
15552 (uri (bioconductor-uri "scran" version))
15553 (sha256
15554 (base32
15555 "1a6vlq8i5gh7zxm6igmy75187pkx42z28qjag50m49xy5valw3ni"))))
15556 (build-system r-build-system)
15557 (propagated-inputs
15558 (list r-beachmat
15559 r-bh
15560 r-biocgenerics
15561 r-biocparallel
15562 r-biocsingular
15563 r-bluster
15564 r-delayedarray
15565 r-delayedmatrixstats
15566 r-dqrng
15567 r-edger
15568 r-igraph
15569 r-limma
15570 r-matrix
15571 r-metapod
15572 r-rcpp
15573 r-s4vectors
15574 r-scuttle
15575 r-singlecellexperiment
15576 r-statmod
15577 r-summarizedexperiment))
15578 (native-inputs
15579 (list r-knitr))
15580 (home-page "https://bioconductor.org/packages/scran")
15581 (synopsis "Methods for single-cell RNA-Seq data analysis")
15582 (description "This package implements a variety of low-level analyses of
15583 single-cell RNA-seq data. Methods are provided for normalization of
15584 cell-specific biases, assignment of cell cycle phase, and detection of highly
15585 variable and significantly correlated genes.")
15586 (license license:gpl3)))
15587
15588 (define-public r-sparsematrixstats
15589 (package
15590 (name "r-sparsematrixstats")
15591 (version "1.8.0")
15592 (source
15593 (origin
15594 (method url-fetch)
15595 (uri (bioconductor-uri "sparseMatrixStats" version))
15596 (sha256
15597 (base32
15598 "0p12kay7p5zbfm2589wdx0n9jhgpf5fb2fsmkhn3p4ck4xcy13x2"))))
15599 (properties
15600 `((upstream-name . "sparseMatrixStats")))
15601 (build-system r-build-system)
15602 (propagated-inputs
15603 (list r-matrix r-matrixgenerics r-matrixstats r-rcpp))
15604 (native-inputs (list r-knitr))
15605 (home-page "https://bioconductor.org/packages/sparseMatrixStats/")
15606 (synopsis "Summary statistics for rows and columns of sparse matrices")
15607 (description
15608 "This package provides high performance functions for row and column
15609 operations on sparse matrices. Currently, the optimizations are limited to
15610 data in the column sparse format.")
15611 (license license:expat)))
15612
15613 (define-public r-delayedmatrixstats
15614 (package
15615 (name "r-delayedmatrixstats")
15616 (version "1.18.1")
15617 (source
15618 (origin
15619 (method url-fetch)
15620 (uri (bioconductor-uri "DelayedMatrixStats" version))
15621 (sha256
15622 (base32
15623 "1kq643fmfzq1qjvpj3kc092ahc3qamqgx53layqsyvz5mil55jjv"))))
15624 (properties
15625 `((upstream-name . "DelayedMatrixStats")))
15626 (build-system r-build-system)
15627 (propagated-inputs
15628 (list r-delayedarray
15629 r-iranges
15630 r-matrix
15631 r-matrixgenerics
15632 r-matrixstats
15633 r-s4vectors
15634 r-sparsematrixstats))
15635 (native-inputs
15636 (list r-knitr))
15637 (home-page "https://github.com/PeteHaitch/DelayedMatrixStats")
15638 (synopsis "Functions that apply to rows and columns of DelayedMatrix objects")
15639 (description
15640 "This package provides a port of the @code{matrixStats} API for use with
15641 @code{DelayedMatrix} objects from the @code{DelayedArray} package. It
15642 contains high-performing functions operating on rows and columns of
15643 @code{DelayedMatrix} objects, e.g. @code{colMedians}, @code{rowMedians},
15644 @code{colRanks}, @code{rowRanks}, @code{colSds}, and @code{rowSds}. Functions
15645 are optimized per data type and for subsetted calculations such that both
15646 memory usage and processing time is minimized.")
15647 (license license:expat)))
15648
15649 (define-public r-mscoreutils
15650 (package
15651 (name "r-mscoreutils")
15652 (version "1.8.0")
15653 (source
15654 (origin
15655 (method url-fetch)
15656 (uri (bioconductor-uri "MsCoreUtils" version))
15657 (sha256
15658 (base32
15659 "077x1zcy27x8akmagjn75j97082cgnahrbfw0qx08q455m5x3xzh"))))
15660 (properties `((upstream-name . "MsCoreUtils")))
15661 (build-system r-build-system)
15662 (propagated-inputs
15663 (list r-clue r-mass r-rcpp r-s4vectors))
15664 (native-inputs
15665 (list r-knitr))
15666 (home-page "https://github.com/RforMassSpectrometry/MsCoreUtils")
15667 (synopsis "Core utils for mass spectrometry data")
15668 (description
15669 "This package defines low-level functions for mass spectrometry data and
15670 is independent of any high-level data structures. These functions include
15671 mass spectra processing functions (noise estimation, smoothing, binning),
15672 quantitative aggregation functions (median polish, robust summarisation,
15673 etc.), missing data imputation, data normalisation (quantiles, vsn, etc.) as
15674 well as misc helper functions, that are used across high-level data structure
15675 within the R for Mass Spectrometry packages.")
15676 (license license:artistic2.0)))
15677
15678 (define-public r-msfeatures
15679 (package
15680 (name "r-msfeatures")
15681 (version "1.4.0")
15682 (source
15683 (origin
15684 (method url-fetch)
15685 (uri (bioconductor-uri "MsFeatures" version))
15686 (sha256
15687 (base32 "111iqcq4q315pb4j8z427shin9b00p179m2s9h6dd7imvbd68yq3"))))
15688 (properties `((upstream-name . "MsFeatures")))
15689 (build-system r-build-system)
15690 (propagated-inputs
15691 (list r-mscoreutils r-protgenerics r-summarizedexperiment))
15692 (native-inputs
15693 (list r-knitr))
15694 (home-page "https://github.com/RforMassSpectrometry/MsFeatures")
15695 (synopsis "Functionality for mass spectrometry features")
15696 (description
15697 "The MsFeature package defines functionality for Mass Spectrometry
15698 features. This includes functions to group (LC-MS) features based on some of
15699 their properties, such as retention time (coeluting features), or correlation
15700 of signals across samples. This package hence can be used to group features, and
15701 its results can be used as an input for the @code{QFeatures} package which
15702 allows aggregating abundance levels of features within each group. This
15703 package defines concepts and functions for base and common data types,
15704 implementations for more specific data types are expected to be implemented in
15705 the respective packages (such as e.g. @code{xcms}).")
15706 (license license:artistic2.0)))
15707
15708 (define-public r-biocio
15709 (package
15710 (name "r-biocio")
15711 (version "1.6.0")
15712 (source
15713 (origin
15714 (method url-fetch)
15715 (uri (bioconductor-uri "BiocIO" version))
15716 (sha256
15717 (base32
15718 "16j826w4zrmbgpmq6nyglcrjailsfv48ih1rz1qn383g7v503ydp"))))
15719 (properties `((upstream-name . "BiocIO")))
15720 (build-system r-build-system)
15721 (propagated-inputs
15722 (list r-biocgenerics r-s4vectors))
15723 (native-inputs
15724 (list r-knitr))
15725 (home-page "https://bioconductor.org/packages/BiocIO")
15726 (synopsis "Standard input and output for Bioconductor packages")
15727 (description
15728 "This package implements `import()` and `export()` standard generics for
15729 importing and exporting biological data formats. `import()` supports
15730 whole-file as well as chunk-wise iterative import. The `import()` interface
15731 optionally provides a standard mechanism for 'lazy' access via `filter()` (on
15732 row or element-like components of the file resource), `select()` (on
15733 column-like components of the file resource) and `collect()`. The `import()`
15734 interface optionally provides transparent access to remote (e.g. via https)
15735 as well as local access. Developers can register a file extension, e.g.,
15736 `.loom` for dispatch from character-based URIs to specific `import()` /
15737 `export()` methods based on classes representing file types, e.g.,
15738 `LoomFile()`.")
15739 (license license:artistic2.0)))
15740
15741 (define-public r-msmseda
15742 (package
15743 (name "r-msmseda")
15744 (version "1.34.0")
15745 (source
15746 (origin
15747 (method url-fetch)
15748 (uri (bioconductor-uri "msmsEDA" version))
15749 (sha256
15750 (base32
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15752 (properties `((upstream-name . "msmsEDA")))
15753 (build-system r-build-system)
15754 (propagated-inputs
15755 (list r-gplots r-mass r-msnbase r-rcolorbrewer))
15756 (home-page
15757 "https://bioconductor.org/packages/msmsEDA")
15758 (synopsis "Exploratory data analysis of LC-MS/MS data by spectral counts")
15759 (description
15760 "Exploratory data analysis to assess the quality of a set of LC-MS/MS
15761 experiments, and visualize de influence of the involved factors.")
15762 (license license:gpl2)))
15763
15764 (define-public r-msmstests
15765 (package
15766 (name "r-msmstests")
15767 (version "1.34.0")
15768 (source
15769 (origin
15770 (method url-fetch)
15771 (uri (bioconductor-uri "msmsTests" version))
15772 (sha256
15773 (base32
15774 "1wzdz0p9wmr243xkmymx9fwskafkyxgmlip4sd1fy2s06px7r0xi"))))
15775 (properties `((upstream-name . "msmsTests")))
15776 (build-system r-build-system)
15777 (propagated-inputs
15778 (list r-edger r-msmseda r-msnbase r-qvalue))
15779 (home-page
15780 "https://bioconductor.org/packages/msmsTests")
15781 (synopsis "Differential LC-MS/MS expression tests")
15782 (description
15783 "This package provides statistical tests for label-free LC-MS/MS data
15784 by spectral counts, to discover differentially expressed proteins between two
15785 biological conditions. Three tests are available: Poisson GLM regression,
15786 quasi-likelihood GLM regression, and the negative binomial of the edgeR
15787 package. The three models admit blocking factors to control for nuisance
15788 variables. To assure a good level of reproducibility a post-test filter is
15789 available, where we may set the minimum effect size considered biologicaly
15790 relevant, and the minimum expression of the most abundant condition.")
15791 (license license:gpl2)))
15792
15793 (define-public r-catalyst
15794 (package
15795 (name "r-catalyst")
15796 (version "1.20.1")
15797 (source
15798 (origin
15799 (method url-fetch)
15800 (uri (bioconductor-uri "CATALYST" version))
15801 (sha256
15802 (base32
15803 "05vfqwa9qsm16px77s9bzygs6zymcxshymmpvz86a9l1cy1yxbza"))))
15804 (properties `((upstream-name . "CATALYST")))
15805 (build-system r-build-system)
15806 (propagated-inputs
15807 (list r-circlize
15808 r-complexheatmap
15809 r-consensusclusterplus
15810 r-cowplot
15811 r-data-table
15812 r-dplyr
15813 r-drc
15814 r-flowcore
15815 r-flowsom
15816 r-ggplot2
15817 r-ggrepel
15818 r-ggridges
15819 r-gridextra
15820 r-magrittr
15821 r-matrix
15822 r-matrixstats
15823 r-nnls
15824 r-purrr
15825 r-rcolorbrewer
15826 r-reshape2
15827 r-rtsne
15828 r-s4vectors
15829 r-scales
15830 r-scater
15831 r-singlecellexperiment
15832 r-summarizedexperiment))
15833 (native-inputs
15834 (list r-knitr))
15835 (home-page "https://github.com/HelenaLC/CATALYST")
15836 (synopsis "Cytometry data analysis tools")
15837 (description
15838 "This package is @dfn{Cytometry dATa anALYSis Tools} (CATALYST). Mass
15839 cytometry like @dfn{Cytometry by time of flight} (CyTOF) uses heavy metal
15840 isotopes rather than fluorescent tags as reporters to label antibodies,
15841 thereby substantially decreasing spectral overlap and allowing for examination
15842 of over 50 parameters at the single cell level. While spectral overlap is
15843 significantly less pronounced in CyTOF than flow cytometry, spillover due to
15844 detection sensitivity, isotopic impurities, and oxide formation can impede
15845 data interpretability. @code{CATALYST} was designed to provide a pipeline for
15846 preprocessing of cytometry data, including:
15847
15848 @enumerate
15849 @item normalization using bead standards;
15850 @item single-cell deconvolution;
15851 @item bead-based compensation.
15852 @end enumerate
15853 ")
15854 (license license:gpl2+)))
15855
15856 (define-public r-erma
15857 (package
15858 (name "r-erma")
15859 (version "1.12.0")
15860 (source
15861 (origin
15862 (method url-fetch)
15863 (uri (bioconductor-uri "erma" version))
15864 (sha256
15865 (base32
15866 "1ilq01cr2ipxpmp422fikiz6nj4nasjhj0ikcagjn2zmmarpgi1b"))))
15867 (build-system r-build-system)
15868 (propagated-inputs
15869 (list r-annotationdbi
15870 r-biobase
15871 r-biocgenerics
15872 r-biocparallel
15873 r-genomeinfodb
15874 r-genomicfiles
15875 r-genomicranges
15876 r-ggplot2
15877 r-homo-sapiens
15878 r-iranges
15879 r-rtracklayer
15880 r-s4vectors
15881 r-shiny
15882 r-summarizedexperiment))
15883 (native-inputs
15884 (list r-knitr))
15885 (home-page "https://bioconductor.org/packages/erma")
15886 (synopsis "Epigenomic road map adventures")
15887 (description
15888 "The epigenomics road map describes locations of epigenetic marks in DNA
15889 from a variety of cell types. Of interest are locations of histone
15890 modifications, sites of DNA methylation, and regions of accessible chromatin.
15891 This package presents a selection of elements of the road map including
15892 metadata and outputs of the ChromImpute procedure applied to ENCODE cell lines
15893 by Ernst and Kellis.")
15894 (license license:artistic2.0)))
15895
15896 (define-public r-ggbio
15897 (package
15898 (name "r-ggbio")
15899 (version "1.44.1")
15900 (source
15901 (origin
15902 (method url-fetch)
15903 (uri (bioconductor-uri "ggbio" version))
15904 (sha256
15905 (base32
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15907 (build-system r-build-system)
15908 (arguments
15909 `(#:phases
15910 (modify-phases %standard-phases
15911 ;; See https://github.com/tengfei/ggbio/issues/117
15912 ;; This fix will be included in the next release.
15913 (add-after 'unpack 'fix-typo
15914 (lambda _
15915 (substitute* "R/GGbio-class.R"
15916 (("fechable") "fetchable"))
15917 #t)))))
15918 (propagated-inputs
15919 (list r-annotationdbi
15920 r-annotationfilter
15921 r-biobase
15922 r-biocgenerics
15923 r-biostrings
15924 r-biovizbase
15925 r-bsgenome
15926 r-ensembldb
15927 r-genomeinfodb
15928 r-genomicalignments
15929 r-genomicfeatures
15930 r-genomicranges
15931 r-ggally
15932 r-ggplot2
15933 r-gridextra
15934 r-gtable
15935 r-hmisc
15936 r-iranges
15937 r-organismdbi
15938 r-reshape2
15939 r-rlang
15940 r-rsamtools
15941 r-rtracklayer
15942 r-s4vectors
15943 r-scales
15944 r-summarizedexperiment
15945 r-variantannotation))
15946 (native-inputs
15947 (list r-knitr))
15948 (home-page "http://www.tengfei.name/ggbio/")
15949 (synopsis "Visualization tools for genomic data")
15950 (description
15951 "The ggbio package extends and specializes the grammar of graphics for
15952 biological data. The graphics are designed to answer common scientific
15953 questions, in particular those often asked of high throughput genomics data.
15954 All core Bioconductor data structures are supported, where appropriate. The
15955 package supports detailed views of particular genomic regions, as well as
15956 genome-wide overviews. Supported overviews include ideograms and grand linear
15957 views. High-level plots include sequence fragment length, edge-linked
15958 interval to data view, mismatch pileup, and several splicing summaries.")
15959 (license license:artistic2.0)))
15960
15961 (define-public r-gqtlbase
15962 (package
15963 (name "r-gqtlbase")
15964 (version "1.21.1")
15965 (source
15966 (origin
15967 (method url-fetch)
15968 (uri (bioconductor-uri "gQTLBase" version))
15969 (sha256
15970 (base32
15971 "0nipibm1bk9k70ajbw1f6vjmz0dh7gk21l17q3m54bnawxsggrfh"))))
15972 (properties `((upstream-name . "gQTLBase")))
15973 (build-system r-build-system)
15974 (arguments
15975 `(#:phases
15976 (modify-phases %standard-phases
15977 ;; This is an upstream bug.
15978 (add-after 'unpack 'fix-imports
15979 (lambda _
15980 (substitute* "NAMESPACE"
15981 ((".*maxffmode.*") "")
15982 (("importFrom\\(ff,.*") "import(ff)\n"))
15983 #t)))))
15984 (propagated-inputs
15985 (list r-batchjobs
15986 r-bbmisc
15987 r-biocgenerics
15988 r-bit
15989 r-doparallel
15990 r-ff
15991 r-ffbase
15992 r-foreach
15993 r-genomicfiles
15994 r-genomicranges
15995 r-rtracklayer
15996 r-s4vectors
15997 r-summarizedexperiment))
15998 (native-inputs
15999 (list r-knitr))
16000 (home-page "https://bioconductor.org/packages/gQTLBase")
16001 (synopsis "Infrastructure for eQTL, mQTL and similar studies")
16002 (description
16003 "The purpose of this package is to simplify the storage and interrogation
16004 of @dfn{quantitative trait loci} (QTL) archives, such as eQTL, mQTL, dsQTL,
16005 and more.")
16006 (license license:artistic2.0)))
16007
16008 (define-public r-gqtlstats
16009 (package
16010 (name "r-gqtlstats")
16011 (version "1.21.3")
16012 (source
16013 (origin
16014 (method url-fetch)
16015 (uri (bioconductor-uri "gQTLstats" version))
16016 (sha256
16017 (base32
16018 "1h78l23idf867djmdk97b02jxgmz4vfr2dai01fp648d0lsx5mkl"))))
16019 (properties `((upstream-name . "gQTLstats")))
16020 (build-system r-build-system)
16021 (propagated-inputs
16022 (list r-annotationdbi
16023 r-batchjobs
16024 r-bbmisc
16025 r-beeswarm
16026 r-biobase
16027 r-biocgenerics
16028 r-doparallel
16029 r-dplyr
16030 r-erma
16031 r-ffbase
16032 r-foreach
16033 r-genomeinfodb
16034 r-genomicfeatures
16035 r-genomicfiles
16036 r-genomicranges
16037 r-ggbeeswarm
16038 r-ggplot2
16039 r-gqtlbase
16040 r-hardyweinberg
16041 r-homo-sapiens
16042 r-iranges
16043 r-limma
16044 r-mgcv
16045 r-plotly
16046 r-reshape2
16047 r-s4vectors
16048 r-shiny
16049 r-snpstats
16050 r-summarizedexperiment
16051 r-variantannotation))
16052 (native-inputs
16053 (list r-knitr))
16054 (home-page "https://bioconductor.org/packages/gQTLstats")
16055 (synopsis "Computationally efficient analysis for eQTL and allied studies")
16056 (description
16057 "This package provides tools for the computationally efficient analysis
16058 of @dfn{quantitative trait loci} (QTL) data, including eQTL, mQTL, dsQTL, etc.
16059 The software in this package aims to support refinements and functional
16060 interpretation of members of a collection of association statistics on a
16061 family of feature/genome hypotheses.")
16062 (license license:artistic2.0)))
16063
16064 (define-public r-gviz
16065 (package
16066 (name "r-gviz")
16067 (version "1.40.1")
16068 (source
16069 (origin
16070 (method url-fetch)
16071 (uri (bioconductor-uri "Gviz" version))
16072 (sha256
16073 (base32
16074 "0as3sxhv21bqqrpvafcqim7798hhkzj3q40hy1rqyhv2lhj4rbvi"))))
16075 (properties `((upstream-name . "Gviz")))
16076 (build-system r-build-system)
16077 (propagated-inputs
16078 (list r-annotationdbi
16079 r-biobase
16080 r-biocgenerics
16081 r-biomart
16082 r-biostrings
16083 r-biovizbase
16084 r-bsgenome
16085 r-digest
16086 r-ensembldb
16087 r-genomeinfodb
16088 r-genomicalignments
16089 r-genomicfeatures
16090 r-genomicranges
16091 r-iranges
16092 r-lattice
16093 r-latticeextra
16094 r-matrixstats
16095 r-rcolorbrewer
16096 r-rsamtools
16097 r-rtracklayer
16098 r-s4vectors
16099 r-xvector))
16100 (native-inputs
16101 (list r-knitr))
16102 (home-page "https://bioconductor.org/packages/Gviz")
16103 (synopsis "Plotting data and annotation information along genomic coordinates")
16104 (description
16105 "Genomic data analyses requires integrated visualization of known genomic
16106 information and new experimental data. Gviz uses the biomaRt and the
16107 rtracklayer packages to perform live annotation queries to Ensembl and UCSC
16108 and translates this to e.g. gene/transcript structures in viewports of the
16109 grid graphics package. This results in genomic information plotted together
16110 with your data.")
16111 (license license:artistic2.0)))
16112
16113 (define-public r-gwascat
16114 (package
16115 (name "r-gwascat")
16116 (version "2.28.1")
16117 (source
16118 (origin
16119 (method url-fetch)
16120 (uri (bioconductor-uri "gwascat" version))
16121 (sha256
16122 (base32
16123 "19ymdxj8966i4yk0zalfw23938cpv4q7pywg4qb242p44na5y9sl"))))
16124 (build-system r-build-system)
16125 (propagated-inputs
16126 (list r-annotationdbi
16127 r-annotationhub
16128 r-biocfilecache
16129 r-biostrings
16130 r-genomeinfodb
16131 r-genomicfeatures
16132 r-genomicranges
16133 r-iranges
16134 r-readr
16135 r-s4vectors
16136 r-snpstats
16137 r-variantannotation))
16138 (native-inputs
16139 (list r-knitr))
16140 (home-page "https://bioconductor.org/packages/gwascat")
16141 (synopsis "Tools for data in the EMBL-EBI GWAS catalog")
16142 (description
16143 "This package provides tools for representing and modeling data in the
16144 EMBL-EBI GWAS catalog.")
16145 (license license:artistic2.0)))
16146
16147 (define-public r-kegggraph
16148 (package
16149 (name "r-kegggraph")
16150 (version "1.56.0")
16151 (source
16152 (origin
16153 (method url-fetch)
16154 (uri (bioconductor-uri "KEGGgraph" version))
16155 (sha256
16156 (base32 "15pq040pcg8hr18xixmjp59xb7mgvygjv6kisqk8yv99l1611ndx"))))
16157 (properties `((upstream-name . "KEGGgraph")))
16158 (build-system r-build-system)
16159 (propagated-inputs
16160 (list r-graph r-rcurl r-rgraphviz r-xml))
16161 (home-page "https://bioconductor.org/packages/KEGGgraph")
16162 (synopsis "Graph approach to Kegg Pathway database in R and Bioconductor")
16163 (description
16164 "@code{r-kegggraph} is an interface between Kegg Pathway database and graph
16165 object as well as a collection of tools to analyze, dissect and visualize these
16166 graphs. It parses the regularly updated kgml (Kegg XML) files into graph models
16167 maintaining all essential pathway attributes. The package offers
16168 functionalities including parsing, graph operation, visualization and etc.")
16169 (license license:gpl2+)))
16170
16171 (define-public r-ldblock
16172 (package
16173 (name "r-ldblock")
16174 (version "1.26.0")
16175 (source
16176 (origin
16177 (method url-fetch)
16178 (uri (bioconductor-uri "ldblock" version))
16179 (sha256
16180 (base32
16181 "08ss03b93czwb4x60hsi30ad4lmamvq5mxa8nj0g18z68qcraijm"))))
16182 (build-system r-build-system)
16183 (propagated-inputs
16184 (list r-biocgenerics
16185 r-ensdb-hsapiens-v75
16186 r-ensembldb
16187 r-genomeinfodb
16188 r-genomicfiles
16189 r-httr
16190 r-matrix
16191 r-rsamtools
16192 r-snpstats
16193 r-variantannotation))
16194 (native-inputs
16195 (list r-knitr))
16196 (home-page "https://bioconductor.org/packages/ldblock")
16197 (synopsis "Data structures for linkage disequilibrium measures in populations")
16198 (description
16199 "This package defines data structures for @dfn{linkage
16200 disequilibrium} (LD) measures in populations. Its purpose is to simplify
16201 handling of existing population-level data for the purpose of flexibly
16202 defining LD blocks.")
16203 (license license:artistic2.0)))
16204
16205 ;; This is a CRAN package, but it depends on r-snpstats, which is a
16206 ;; Bioconductor package.
16207 (define-public r-ldheatmap
16208 (package
16209 (name "r-ldheatmap")
16210 (version "1.0-6")
16211 (source
16212 (origin
16213 (method url-fetch)
16214 (uri (cran-uri "LDheatmap" version))
16215 (sha256
16216 (base32
16217 "0gr99kys1ahyl8s6cbj6rmh4vwid8kn92lcbjnwh0ahb73m2xjjc"))))
16218 (properties `((upstream-name . "LDheatmap")))
16219 (build-system r-build-system)
16220 (propagated-inputs
16221 (list r-genetics r-rcpp r-snpstats))
16222 (home-page "https://stat.sfu.ca/statgen/research/ldheatmap.html")
16223 (synopsis "Graphical display of pairwise linkage disequilibria between SNPs")
16224 (description
16225 "This package provides tools to produce a graphical display, as a heat
16226 map, of measures of pairwise linkage disequilibria between SNPs. Users may
16227 optionally include the physical locations or genetic map distances of each SNP
16228 on the plot.")
16229 (license license:gpl3)))
16230
16231 ;; This is a CRAN package, but it depends on r-rgraphviz, which is a
16232 ;; Bioconductor package.
16233 (define-public r-abn
16234 (package
16235 (name "r-abn")
16236 (version "2.7-1")
16237 (source
16238 (origin
16239 (method url-fetch)
16240 (uri (cran-uri "abn" version))
16241 (sha256
16242 (base32
16243 "1w3jns96m8b9scvaa4hcla3i88a0cfh9qis2l04yixvda5q91gpr"))))
16244 (build-system r-build-system)
16245 (inputs
16246 (list gsl))
16247 (propagated-inputs
16248 (list r-doparallel
16249 r-foreach
16250 r-graph
16251 r-lme4
16252 r-nnet
16253 r-rcpp
16254 r-rcpparmadillo
16255 r-rgraphviz
16256 r-rjags))
16257 (home-page "https://r-bayesian-networks.org/")
16258 (synopsis "Modelling multivariate data with additive bayesian networks")
16259 (description
16260 "Bayesian network analysis is a form of probabilistic graphical models
16261 which derives from empirical data a directed acyclic graph, DAG, describing
16262 the dependency structure between random variables. An additive Bayesian
16263 network model consists of a form of a DAG where each node comprises a
16264 @dfn{generalized linear model} (GLM). Additive Bayesian network models are
16265 equivalent to Bayesian multivariate regression using graphical modelling, they
16266 generalises the usual multivariable regression, GLM, to multiple dependent
16267 variables. This package provides routines to help determine optimal Bayesian
16268 network models for a given data set, where these models are used to identify
16269 statistical dependencies in messy, complex data.")
16270 (license license:gpl2+)))
16271
16272 ;; This is a CRAN package, but it depends on r-rsamtools, which is a
16273 ;; Bioconductor package.
16274 (define-public r-spp
16275 (package
16276 (name "r-spp")
16277 (version "1.16.0")
16278 (source (origin
16279 (method url-fetch)
16280 (uri (cran-uri "spp" version))
16281 (sha256
16282 (base32
16283 "08zxxgyp0h6733b08jmml7k4rhfd3mi5dda3jrzid0s184y0z29w"))))
16284 (build-system r-build-system)
16285 (inputs
16286 (list zlib))
16287 (propagated-inputs
16288 (list r-bh r-catools r-rcpp r-rsamtools))
16289 (home-page "https://cran.r-project.org/web/packages/spp/")
16290 (synopsis "ChIP-Seq processing pipeline")
16291 (description "This package provides tools for analysis of ChIP-seq and
16292 other functional sequencing data.")
16293 (license license:gpl2)))
16294
16295 (define-public r-pathview
16296 (package
16297 (name "r-pathview")
16298 (version "1.36.1")
16299 (source
16300 (origin
16301 (method url-fetch)
16302 (uri (bioconductor-uri "pathview" version))
16303 (sha256
16304 (base32 "11g4zhy4qfq0gmy588334f7s2w1acs2dz9kimax5ya2b8jjibk71"))))
16305 (properties `((upstream-name . "pathview")))
16306 (build-system r-build-system)
16307 (propagated-inputs
16308 (list r-annotationdbi
16309 r-graph
16310 r-kegggraph
16311 r-keggrest
16312 r-org-hs-eg-db
16313 r-png
16314 r-rgraphviz
16315 r-xml))
16316 (home-page "https://pathview.uncc.edu/")
16317 (synopsis "Tool set for pathway based data integration and visualization")
16318 (description
16319 "@code{r-pathview} is a tool set for pathway based data integration and
16320 visualization. It maps and renders a wide variety of biological data on
16321 relevant pathway graphs. All users need is to supply their data and specify
16322 the target pathway. This package automatically downloads the pathway graph
16323 data, parses the data file, maps user data to the pathway, and render pathway
16324 graph with the mapped data. In addition, @code{r-pathview} also seamlessly
16325 integrates with pathway and gene set (enrichment) analysis tools for
16326 large-scale and fully automated analysis.")
16327 (license license:gpl3+)))
16328
16329 (define-public r-snpstats
16330 (package
16331 (name "r-snpstats")
16332 (version "1.46.0")
16333 (source
16334 (origin
16335 (method url-fetch)
16336 (uri (bioconductor-uri "snpStats" version))
16337 (sha256
16338 (base32
16339 "0a5b5nqc7n965jk45ijwkzbn416ib4gfhp8xl39z8f2bdskip4a2"))))
16340 (properties `((upstream-name . "snpStats")))
16341 (build-system r-build-system)
16342 (inputs (list zlib))
16343 (propagated-inputs
16344 (list r-biocgenerics r-matrix r-survival r-zlibbioc))
16345 (home-page "https://bioconductor.org/packages/snpStats")
16346 (synopsis "Methods for SNP association studies")
16347 (description
16348 "This package provides classes and statistical methods for large
16349 @dfn{single-nucleotide polymorphism} (SNP) association studies. This extends
16350 the earlier snpMatrix package, allowing for uncertainty in genotypes.")
16351 (license license:gpl3)))
16352
16353 (define-public r-chromstar
16354 (package
16355 (name "r-chromstar")
16356 (version "1.22.0")
16357 (source
16358 (origin
16359 (method url-fetch)
16360 (uri (bioconductor-uri "chromstaR" version))
16361 (sha256
16362 (base32
16363 "1xjwmnr4hk8v3nwvhqd6ixk5qr2dv0n4mb9wd6nl7cgjfhjsdgj7"))))
16364 (properties `((upstream-name . "chromstaR")))
16365 (build-system r-build-system)
16366 (propagated-inputs
16367 (list r-bamsignals
16368 r-biocgenerics
16369 r-chromstardata
16370 r-doparallel
16371 r-foreach
16372 r-genomeinfodb
16373 r-genomicalignments
16374 r-genomicranges
16375 r-ggplot2
16376 r-iranges
16377 r-mvtnorm
16378 r-reshape2
16379 r-rsamtools
16380 r-s4vectors))
16381 (native-inputs (list r-knitr))
16382 (home-page "https://github.com/ataudt/chromstaR")
16383 (synopsis "Chromatin state analysis for ChIP-Seq data")
16384 (description
16385 "This package implements functions for combinatorial and differential
16386 analysis of ChIP-seq data. It includes uni- and multivariate peak-calling,
16387 export to genome browser viewable files, and functions for enrichment
16388 analyses.")
16389 (license license:artistic2.0)))
16390
16391 (define-public r-guitar
16392 (package
16393 (name "r-guitar")
16394 (version "2.12.0")
16395 (source
16396 (origin
16397 (method url-fetch)
16398 (uri (bioconductor-uri "Guitar" version))
16399 (sha256
16400 (base32
16401 "09grsasnnk7rmlzjh4lhas9r5spzcsrvmdqj6fx1dk22sckcqahh"))))
16402 (properties `((upstream-name . "Guitar")))
16403 (build-system r-build-system)
16404 (propagated-inputs
16405 (list r-annotationdbi
16406 r-dplyr
16407 r-genomicfeatures
16408 r-genomicranges
16409 r-ggplot2
16410 r-knitr
16411 r-magrittr
16412 r-rtracklayer))
16413 (native-inputs
16414 (list r-knitr))
16415 (home-page "https://bioconductor.org/packages/Guitar")
16416 (synopsis "Visualize genomic features")
16417 (description
16418 "This package is designed for visualization of RNA-related genomic
16419 features with respect to the landmarks of RNA transcripts, i.e., transcription
16420 starting site, start codon, stop codon and transcription ending site.")
16421 (license license:gpl2)))
16422
16423 (define-public r-sushi
16424 (package
16425 (name "r-sushi")
16426 (version "1.34.0")
16427 (source (origin
16428 (method url-fetch)
16429 (uri (bioconductor-uri "Sushi" version))
16430 (sha256
16431 (base32
16432 "0adswrbzd93rhy3q56ypwkrk6155vd4zxapvznswyjlxp8ha813q"))))
16433 (properties `((upstream-name . "Sushi")))
16434 (build-system r-build-system)
16435 (propagated-inputs
16436 (list r-biomart r-zoo))
16437 (home-page "https://bioconductor.org/packages/Sushi")
16438 (synopsis "Tools for visualizing genomics data")
16439 (description
16440 "This package provides flexible, quantitative, and integrative genomic
16441 visualizations for publication-quality multi-panel figures.")
16442 (license license:gpl2+)))
16443
16444 (define-public r-ballgown
16445 (package
16446 (name "r-ballgown")
16447 (version "2.28.0")
16448 (source
16449 (origin
16450 (method url-fetch)
16451 (uri (bioconductor-uri "ballgown" version))
16452 (sha256
16453 (base32
16454 "0l8q3fymskxmsi5jcikzjz5xi66lpzgv7bjymir4izah2v68z708"))))
16455 (properties `((upstream-name . "ballgown")))
16456 (build-system r-build-system)
16457 (propagated-inputs
16458 (list r-biobase
16459 r-genomeinfodb
16460 r-genomicranges
16461 r-iranges
16462 r-limma
16463 r-rcolorbrewer
16464 r-rtracklayer
16465 r-s4vectors
16466 r-sva))
16467 (native-inputs
16468 (list r-knitr))
16469 (home-page "https://bioconductor.org/packages/ballgown")
16470 (synopsis "Flexible, isoform-level differential expression analysis")
16471 (description
16472 "This package provides tools for statistical analysis of assembled
16473 transcriptomes, including flexible differential expression analysis,
16474 visualization of transcript structures, and matching of assembled transcripts
16475 to annotation.")
16476 (license license:artistic2.0)))
16477
16478 (define-public r-megadepth
16479 (package
16480 (name "r-megadepth")
16481 (version "1.6.0")
16482 (source
16483 (origin
16484 (method url-fetch)
16485 (uri (bioconductor-uri "megadepth" version))
16486 (sha256
16487 (base32
16488 "0qq82dmd3drr2bhn51bgbc6ml40klfmmhj6wdj72n9ya6n60lwy8"))))
16489 (properties `((upstream-name . "megadepth")))
16490 (build-system r-build-system)
16491 (inputs (list megadepth))
16492 (propagated-inputs
16493 (list r-cmdfun
16494 r-dplyr
16495 r-fs
16496 r-genomicranges
16497 r-magrittr
16498 r-readr
16499 r-xfun))
16500 (native-inputs
16501 (list r-knitr))
16502 (home-page "https://github.com/LieberInstitute/megadepth")
16503 (synopsis "BigWig and BAM related utilities")
16504 (description
16505 "This package provides an R interface to Megadepth. It is particularly
16506 useful for computing the coverage of a set of genomic regions across bigWig or
16507 BAM files. With this package, you can build base-pair coverage matrices for
16508 regions or annotations of your choice from BigWig files.")
16509 (license license:artistic2.0)))
16510
16511 (define-public r-beclear
16512 (package
16513 (name "r-beclear")
16514 (version "2.12.0")
16515 (source
16516 (origin
16517 (method url-fetch)
16518 (uri (bioconductor-uri "BEclear" version))
16519 (sha256
16520 (base32
16521 "0x43yfnmb2d782g3g52nqdfs90i3zrrlqz8qy3ybmgv5f8n92p15"))))
16522 (properties `((upstream-name . "BEclear")))
16523 (build-system r-build-system)
16524 (propagated-inputs
16525 (list r-abind
16526 r-biocparallel
16527 r-data-table
16528 r-dixontest
16529 r-futile-logger
16530 r-matrix
16531 r-rcpp
16532 r-rdpack))
16533 (native-inputs
16534 (list r-knitr))
16535 (home-page "https://github.com/uds-helms/BEclear")
16536 (synopsis "Correction of batch effects in DNA methylation data")
16537 (description
16538 "This package provides functions to detect and correct for batch effects
16539 in DNA methylation data. The core function is based on latent factor models
16540 and can also be used to predict missing values in any other matrix containing
16541 real numbers.")
16542 (license license:gpl3)))
16543
16544 (define-public r-bgeecall
16545 (package
16546 (name "r-bgeecall")
16547 (version "1.12.2")
16548 (source
16549 (origin
16550 (method url-fetch)
16551 (uri (bioconductor-uri "BgeeCall" version))
16552 (sha256
16553 (base32
16554 "0l6smwy55mm4clb71l4bpch3bayyyf87nq1asbrv6s6fd22mmwil"))))
16555 (properties `((upstream-name . "BgeeCall")))
16556 (build-system r-build-system)
16557 (propagated-inputs
16558 (list kallisto
16559 r-biomart
16560 r-biostrings
16561 r-data-table
16562 r-dplyr
16563 r-genomicfeatures
16564 r-jsonlite
16565 r-rhdf5
16566 r-rslurm
16567 r-rtracklayer
16568 r-sjmisc
16569 r-tximport))
16570 (native-inputs (list r-knitr))
16571 (home-page "https://github.com/BgeeDB/BgeeCall")
16572 (synopsis "RNA-Seq present/absent gene expression calls generation")
16573 (description
16574 "BgeeCall allows generating present/absent gene expression calls without
16575 using an arbitrary cutoff like TPM<1. Calls are generated based on reference
16576 intergenic sequences. These sequences are generated based on expression of
16577 all RNA-Seq libraries of each species integrated in Bgee.")
16578 (license license:gpl3)))
16579
16580 (define-public r-bgeedb
16581 (package
16582 (name "r-bgeedb")
16583 (version "2.22.3")
16584 (source
16585 (origin
16586 (method url-fetch)
16587 (uri (bioconductor-uri "BgeeDB" version))
16588 (sha256
16589 (base32
16590 "1f6lrazaibbz21sqvj59rq6ps9m1riw2y0kyidbn29mxf4ibwh3k"))))
16591 (properties `((upstream-name . "BgeeDB")))
16592 (build-system r-build-system)
16593 (propagated-inputs
16594 (list r-biobase
16595 r-curl
16596 r-data-table
16597 r-digest
16598 r-dplyr
16599 r-graph
16600 r-r-utils
16601 r-rcurl
16602 r-rsqlite
16603 r-tidyr
16604 r-topgo))
16605 (native-inputs (list r-knitr))
16606 (home-page "https://github.com/BgeeDB/BgeeDB_R")
16607 (synopsis "Annotation and gene expression data retrieval from Bgee database")
16608 (description
16609 "This package provides a package for the annotation and gene expression
16610 data download from Bgee database, and TopAnat analysis: GO-like enrichment of
16611 anatomical terms, mapped to genes by expression patterns.")
16612 (license license:gpl3)))
16613
16614 (define-public r-biobtreer
16615 (package
16616 (name "r-biobtreer")
16617 (version "1.8.0")
16618 (source
16619 (origin
16620 (method url-fetch)
16621 (uri (bioconductor-uri "biobtreeR" version))
16622 (sha256
16623 (base32
16624 "0cx46hdqqm6mbj0vp4y86axv0qccd4sgk2jwwjvnqp5pynq9bbqa"))))
16625 (properties `((upstream-name . "biobtreeR")))
16626 (build-system r-build-system)
16627 (propagated-inputs
16628 (list r-httpuv r-httr r-jsonlite r-stringi))
16629 (native-inputs (list r-knitr))
16630 (home-page "https://github.com/tamerh/biobtreeR")
16631 (synopsis "Use biobtree tool from R")
16632 (description
16633 "The biobtreeR package provides an interface to biobtree, a tool which
16634 covers large sets of bioinformatics datasets and allows search and chain
16635 mappings functionalities.")
16636 (license license:expat)))
16637
16638 (define-public r-minet
16639 (package
16640 (name "r-minet")
16641 (version "3.54.0")
16642 (source
16643 (origin
16644 (method url-fetch)
16645 (uri (bioconductor-uri "minet" version))
16646 (sha256
16647 (base32
16648 "0q6jw2jqkl9qynjpzaygz45c7dmx1l5y2d8s1illpcf87siawcam"))))
16649 (properties `((upstream-name . "minet")))
16650 (build-system r-build-system)
16651 (propagated-inputs
16652 (list r-infotheo))
16653 (home-page "http://minet.meyerp.com")
16654 (synopsis "Mutual information networks")
16655 (description
16656 "This package implements various algorithms for inferring mutual
16657 information networks from data.")
16658 (license license:artistic2.0)))
16659
16660 (define-public r-genetclassifier
16661 (package
16662 (name "r-genetclassifier")
16663 (version "1.36.0")
16664 (source
16665 (origin
16666 (method url-fetch)
16667 (uri (bioconductor-uri "geNetClassifier" version))
16668 (sha256
16669 (base32
16670 "1kh7mp5h0n7yd1klcd7w4v7i3fh9pkmvgf7189wangfzbcsr4f70"))))
16671 (properties
16672 `((upstream-name . "geNetClassifier")))
16673 (build-system r-build-system)
16674 (propagated-inputs
16675 (list r-biobase r-e1071 r-ebarrays r-minet))
16676 (home-page "https://www.cicancer.org")
16677 (synopsis "Classify diseases and build gene networks using expression profiles")
16678 (description
16679 "This is a comprehensive package to automatically train and validate a
16680 multi-class SVM classifier based on gene expression data. It provides
16681 transparent selection of gene markers, their coexpression networks, and an
16682 interface to query the classifier.")
16683 (license license:gpl2+)))
16684
16685 (define-public r-dir-expiry
16686 (package
16687 (name "r-dir-expiry")
16688 (version "1.4.0")
16689 (source
16690 (origin
16691 (method url-fetch)
16692 (uri (bioconductor-uri "dir.expiry" version))
16693 (sha256
16694 (base32
16695 "098wzm8hlpy70c99k2sl4k8z2dllhw7rwdj8dhcskr7kaw71k3sq"))))
16696 (properties `((upstream-name . "dir.expiry")))
16697 (build-system r-build-system)
16698 (propagated-inputs (list r-filelock))
16699 (native-inputs (list r-knitr))
16700 (home-page "https://bioconductor.org/packages/dir.expiry")
16701 (synopsis "Managing expiration for cache directories")
16702 (description
16703 "This package implements an expiration system for access to versioned
16704 directories. Directories that have not been accessed by a registered function
16705 within a certain time frame are deleted. This aims to reduce disk usage by
16706 eliminating obsolete caches generated by old versions of packages.")
16707 (license license:gpl3)))
16708
16709 (define-public r-basilisk-utils
16710 (package
16711 (name "r-basilisk-utils")
16712 (version "1.8.0")
16713 (source
16714 (origin
16715 (method url-fetch)
16716 (uri (bioconductor-uri "basilisk.utils" version))
16717 (sha256
16718 (base32
16719 "1jnqv0rlljkq27rd4ixl763v335f2aanm4fzr386yc81fj4vnmhk"))))
16720 (properties
16721 `((upstream-name . "basilisk.utils")))
16722 (build-system r-build-system)
16723 (propagated-inputs
16724 (list r-dir-expiry))
16725 (native-inputs (list r-knitr))
16726 (home-page "https://bioconductor.org/packages/basilisk.utils")
16727 (synopsis "Basilisk installation utilities")
16728 (description
16729 "This package implements utilities for installation of the basilisk
16730 package, primarily for creation of the underlying Conda instance.")
16731 (license license:gpl3)))
16732
16733 (define-public r-basilisk
16734 (package
16735 (name "r-basilisk")
16736 (version "1.8.1")
16737 (source
16738 (origin
16739 (method url-fetch)
16740 (uri (bioconductor-uri "basilisk" version))
16741 (sha256
16742 (base32
16743 "134xix2iq5l7783dng2jjklxd3m5lh4snb7bjhslrs2r1j3p8jpk"))))
16744 (properties `((upstream-name . "basilisk")))
16745 (build-system r-build-system)
16746 (propagated-inputs
16747 (list r-basilisk-utils r-dir-expiry r-reticulate))
16748 (native-inputs (list r-knitr))
16749 (home-page "https://bioconductor.org/packages/basilisk")
16750 (synopsis "Freeze Python dependencies inside Bioconductor packages")
16751 (description
16752 "This package installs a self-contained Conda instance that is managed by
16753 the R/Bioconductor installation machinery. This aims to provide a consistent
16754 Python environment that can be used reliably by Bioconductor packages.
16755 Functions are also provided to enable smooth interoperability of multiple
16756 Python environments in a single R session.")
16757 (license license:gpl3)))
16758
16759 (define-public r-biocthis
16760 (package
16761 (name "r-biocthis")
16762 (version "1.6.0")
16763 (source
16764 (origin
16765 (method url-fetch)
16766 (uri (bioconductor-uri "biocthis" version))
16767 (sha256
16768 (base32
16769 "1hdgjp00d2si3mr7m1d289i9wn7g927z6n8n27d5sm94lb91qln0"))))
16770 (properties `((upstream-name . "biocthis")))
16771 (build-system r-build-system)
16772 (arguments
16773 `(#:phases
16774 (modify-phases %standard-phases
16775 (add-after 'unpack 'set-HOME
16776 (lambda _ (setenv "HOME" "/tmp"))))))
16777 (propagated-inputs
16778 (list r-biocmanager
16779 r-fs
16780 r-glue
16781 r-rlang
16782 r-styler
16783 r-usethis))
16784 (native-inputs (list r-knitr))
16785 (home-page "https://github.com/lcolladotor/biocthis")
16786 (synopsis "Automate package and project setup for Bioconductor packages")
16787 (description
16788 "This package expands the @code{usethis} package with the goal of helping
16789 automate the process of creating R packages for Bioconductor or making them
16790 Bioconductor-friendly.")
16791 (license license:artistic2.0)))
16792
16793 (define-public r-biocdockermanager
16794 (package
16795 (name "r-biocdockermanager")
16796 (version "1.8.1")
16797 (source
16798 (origin
16799 (method url-fetch)
16800 (uri (bioconductor-uri "BiocDockerManager" version))
16801 (sha256
16802 (base32
16803 "0a4dcga18bw5mvzmsml28bf4zclz32pp9iflnbvps7pdxvhmmg9d"))))
16804 (properties
16805 `((upstream-name . "BiocDockerManager")))
16806 (build-system r-build-system)
16807 (propagated-inputs
16808 (list docker
16809 r-dplyr
16810 r-httr
16811 r-memoise
16812 r-readr
16813 r-whisker))
16814 (native-inputs (list r-knitr))
16815 (home-page "https://bioconductor.org/packages/BiocDockerManager")
16816 (synopsis "Access and manage Bioconductor Docker images")
16817 (description
16818 "This package works analogous to BiocManager but for Docker images. Use
16819 the BiocDockerManager package to install and manage Docker images provided by
16820 the Bioconductor project.")
16821 (license license:artistic2.0)))
16822
16823 (define-public r-biodb
16824 (package
16825 (name "r-biodb")
16826 (version "1.4.2")
16827 (source
16828 (origin
16829 (method url-fetch)
16830 (uri (bioconductor-uri "biodb" version))
16831 (sha256
16832 (base32
16833 "0f3clqmrpaawhjjyb4x5mnbhsam56r0av05b5cl5p4waylp8qbs1"))))
16834 (properties `((upstream-name . "biodb")))
16835 (build-system r-build-system)
16836 (propagated-inputs
16837 (list r-biocfilecache
16838 r-chk
16839 r-jsonlite
16840 r-lgr
16841 r-lifecycle
16842 r-openssl
16843 r-plyr
16844 r-progress
16845 r-r6
16846 r-rappdirs
16847 r-rcpp
16848 r-rcurl
16849 r-rsqlite
16850 r-stringr
16851 r-testthat
16852 r-withr
16853 r-xml
16854 r-yaml))
16855 (native-inputs (list r-knitr))
16856 (home-page "https://bioconductor.org/packages/biodb")
16857 (synopsis "Library for connecting to chemical and biological databases")
16858 (description
16859 "The biodb package provides access to standard remote chemical and
16860 biological databases (ChEBI, KEGG, HMDB, ...), as well as to in-house local
16861 database files (CSV, SQLite), with easy retrieval of entries, access to web
16862 services, search of compounds by mass and/or name, and mass spectra matching
16863 for LCMS and MSMS. Its architecture as a development framework facilitates
16864 the development of new database connectors for local projects or inside
16865 separate published packages.")
16866 (license license:agpl3+)))
16867
16868 (define-public r-biomformat
16869 (package
16870 (name "r-biomformat")
16871 (version "1.24.0")
16872 (source
16873 (origin
16874 (method url-fetch)
16875 (uri (bioconductor-uri "biomformat" version))
16876 (sha256
16877 (base32
16878 "12wqjipxhngmlnrdmx329dqmkmy2wa4nkkrhwaqv2nwy90dncs9n"))))
16879 (properties `((upstream-name . "biomformat")))
16880 (build-system r-build-system)
16881 (propagated-inputs
16882 (list r-jsonlite r-matrix r-plyr r-rhdf5))
16883 (native-inputs (list r-knitr))
16884 (home-page "https://github.com/joey711/biomformat/")
16885 (synopsis "Interface package for the BIOM file format")
16886 (description
16887 "This is an R package for interfacing with the BIOM format. This package
16888 includes basic tools for reading biom-format files, accessing and subsetting
16889 data tables from a biom object (which is more complex than a single table), as
16890 well as limited support for writing a biom-object back to a biom-format file.
16891 The design of this API is intended to match the Python API and other tools
16892 included with the biom-format project, but with a decidedly \"R flavor\" that
16893 should be familiar to R users. This includes S4 classes and methods, as well
16894 as extensions of common core functions/methods.")
16895 (license license:gpl2)))
16896
16897 (define-public r-mvcclass
16898 (package
16899 (name "r-mvcclass")
16900 (version "1.70.0")
16901 (source
16902 (origin
16903 (method url-fetch)
16904 (uri (bioconductor-uri "MVCClass" version))
16905 (sha256
16906 (base32
16907 "0apcjlq4i2mg8mlfqgvlcsqkiy51whzid3nd0m830jff0ywgh47g"))))
16908 (properties `((upstream-name . "MVCClass")))
16909 (build-system r-build-system)
16910 (home-page "https://bioconductor.org/packages/MVCClass")
16911 (synopsis "Model-View-Controller (MVC) classes")
16912 (description
16913 "This package contains classes used in model-view-controller (MVC)
16914 design.")
16915 (license license:lgpl2.1+)))
16916
16917 (define-public r-biomvcclass
16918 (package
16919 (name "r-biomvcclass")
16920 (version "1.64.0")
16921 (source
16922 (origin
16923 (method url-fetch)
16924 (uri (bioconductor-uri "BioMVCClass" version))
16925 (sha256
16926 (base32
16927 "078pnyygbvbfxziqspfr1nn78w67xyb4qmiwc34czga5psblvfwz"))))
16928 (properties `((upstream-name . "BioMVCClass")))
16929 (build-system r-build-system)
16930 (propagated-inputs
16931 (list r-biobase r-graph r-mvcclass r-rgraphviz))
16932 (home-page "https://bioconductor.org/packages/BioMVCClass")
16933 (synopsis "Model-View-Controller (MVC) classes that use Biobase")
16934 (description
16935 "This package contains classes used in model-view-controller (MVC)
16936 design.")
16937 (license license:lgpl2.1+)))
16938
16939 (define-public r-biomvrcns
16940 (package
16941 (name "r-biomvrcns")
16942 (version "1.36.0")
16943 (source
16944 (origin
16945 (method url-fetch)
16946 (uri (bioconductor-uri "biomvRCNS" version))
16947 (sha256
16948 (base32
16949 "0i576g7pkivqaxff1pkb760mdpx8v9fh071aic1mwfnlfa7k87ln"))))
16950 (properties `((upstream-name . "biomvRCNS")))
16951 (build-system r-build-system)
16952 (propagated-inputs
16953 (list r-genomicranges r-gviz r-iranges r-mvtnorm))
16954 (home-page "https://bioconductor.org/packages/biomvRCNS")
16955 (synopsis "Copy number study and segmentation for multivariate biological data")
16956 (description
16957 "In this package, a @dfn{Hidden Semi Markov Model} (HSMM) and one
16958 homogeneous segmentation model are designed and implemented for segmentation
16959 genomic data, with the aim of assisting in transcripts detection using high
16960 throughput technology like RNA-seq or tiling array, and copy number analysis
16961 using aCGH or sequencing.")
16962 (license license:gpl2+)))
16963
16964 (define-public r-bionero
16965 (package
16966 (name "r-bionero")
16967 (version "1.4.2")
16968 (source
16969 (origin
16970 (method url-fetch)
16971 (uri (bioconductor-uri "BioNERO" version))
16972 (sha256
16973 (base32
16974 "0dsznfnhidbmf52rv8l26f1ms2k9yy4q4c6cf3x8ylc79c1sjrcp"))))
16975 (properties `((upstream-name . "BioNERO")))
16976 (build-system r-build-system)
16977 (propagated-inputs
16978 (list r-biocparallel
16979 r-complexheatmap
16980 r-dynamictreecut
16981 r-genie3
16982 r-ggnetwork
16983 r-ggnewscale
16984 r-ggplot2
16985 r-ggrepel
16986 r-igraph
16987 r-intergraph
16988 r-matrixstats
16989 r-minet
16990 r-netrep
16991 r-networkd3
16992 r-patchwork
16993 r-rcolorbrewer
16994 r-reshape2
16995 r-summarizedexperiment
16996 r-sva
16997 r-wgcna))
16998 (native-inputs
16999 (list r-knitr))
17000 (home-page "https://github.com/almeidasilvaf/BioNERO")
17001 (synopsis "Biological network reconstruction omnibus")
17002 (description
17003 "BioNERO aims to integrate all aspects of biological network inference in
17004 a single package, including data preprocessing, exploratory analyses, network
17005 inference, and analyses for biological interpretations. BioNERO can be used
17006 to infer gene coexpression networks (GCNs) and gene regulatory networks (GRNs)
17007 from gene expression data. Additionally, it can be used to explore
17008 topological properties of protein-protein interaction (PPI) networks. GCN
17009 inference relies on the popular WGCNA algorithm. GRN inference is based on
17010 the \"wisdom of the crowds\" principle, which consists in inferring GRNs with
17011 multiple algorithms (here, CLR, GENIE3 and ARACNE) and calculating the average
17012 rank for each interaction pair. As all steps of network analyses are included
17013 in this package, BioNERO makes users avoid having to learn the syntaxes of
17014 several packages and how to communicate between them. Finally, users can also
17015 identify consensus modules across independent expression sets and calculate
17016 intra and interspecies module preservation statistics between different
17017 networks.")
17018 (license license:gpl3)))
17019
17020 (define-public r-bionet
17021 (package
17022 (name "r-bionet")
17023 (version "1.56.0")
17024 (source
17025 (origin
17026 (method url-fetch)
17027 (uri (bioconductor-uri "BioNet" version))
17028 (sha256
17029 (base32
17030 "0kcw71j4nmdkn373wk21ak6h0v4gycivnfrklb72kk1qcmsy1wrm"))))
17031 (properties `((upstream-name . "BioNet")))
17032 (build-system r-build-system)
17033 (propagated-inputs
17034 (list r-annotationdbi r-biobase r-graph r-igraph r-rbgl))
17035 (home-page "http://bioconductor.org/packages/release/bioc/html/BioNet.html")
17036 (synopsis "Functional analysis of biological networks")
17037 (description
17038 "This package provides functions for the integrated analysis of
17039 protein-protein interaction networks and the detection of functional modules.
17040 Different datasets can be integrated into the network by assigning p-values of
17041 statistical tests to the nodes of the network. E.g. p-values obtained from
17042 the differential expression of the genes from an Affymetrix array are assigned
17043 to the nodes of the network. By fitting a beta-uniform mixture model and
17044 calculating scores from the p-values, overall scores of network regions can be
17045 calculated and an integer linear programming algorithm identifies the maximum
17046 scoring subnetwork.")
17047 (license license:gpl2+)))
17048
17049 (define-public r-bionetstat
17050 (package
17051 (name "r-bionetstat")
17052 (version "1.16.1")
17053 (source
17054 (origin
17055 (method url-fetch)
17056 (uri (bioconductor-uri "BioNetStat" version))
17057 (sha256
17058 (base32
17059 "0zs6pymvxb95sji0rnnzaz3whj7hsvj2kl4n4gzj7w1q0prbfpb2"))))
17060 (properties `((upstream-name . "BioNetStat")))
17061 (build-system r-build-system)
17062 (propagated-inputs
17063 (list r-biocparallel
17064 r-dt
17065 r-ggplot2
17066 r-hmisc
17067 r-igraph
17068 r-knitr
17069 r-markdown
17070 r-pathview
17071 r-pheatmap
17072 r-plyr
17073 r-psych
17074 r-rcolorbrewer
17075 r-rjsonio
17076 r-rmarkdown
17077 r-shiny
17078 r-shinybs
17079 r-whisker
17080 r-yaml))
17081 (native-inputs
17082 (list r-knitr))
17083 (home-page "https://github.com/jardimViniciusC/BioNetStat")
17084 (synopsis "Biological network analysis")
17085 (description
17086 "This package provides a package to perform differential network
17087 analysis, differential node analysis (differential coexpression analysis),
17088 network and metabolic pathways view.")
17089 (license license:gpl3+)))
17090
17091 (define-public r-bioqc
17092 (package
17093 (name "r-bioqc")
17094 (version "1.24.0")
17095 (source
17096 (origin
17097 (method url-fetch)
17098 (uri (bioconductor-uri "BioQC" version))
17099 (sha256
17100 (base32
17101 "0vb2nnzqvyv25pw8qshcmijravswafg0858pkgqjgiv7wsr2mn3m"))))
17102 (properties `((upstream-name . "BioQC")))
17103 (build-system r-build-system)
17104 (propagated-inputs
17105 (list r-biobase r-edger r-rcpp))
17106 (native-inputs
17107 (list r-knitr))
17108 (home-page "https://accio.github.io/BioQC/")
17109 (synopsis "Detect tissue heterogeneity in expression profiles with gene sets")
17110 (description
17111 "BioQC performs quality control of high-throughput expression data based
17112 on tissue gene signatures. It can detect tissue heterogeneity in gene
17113 expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is
17114 optimised for high performance.")
17115 (license license:gpl3+)))
17116
17117 (define-public r-biotip
17118 (package
17119 (name "r-biotip")
17120 (version "1.10.0")
17121 (source
17122 (origin
17123 (method url-fetch)
17124 (uri (bioconductor-uri "BioTIP" version))
17125 (sha256
17126 (base32
17127 "1sihi5zy7mlabh3ix1wvdqz8ibfq1avl8bnxjhvxyzq40zbcklh6"))))
17128 (properties `((upstream-name . "BioTIP")))
17129 (build-system r-build-system)
17130 (propagated-inputs
17131 (list r-cluster
17132 r-genomicranges
17133 r-igraph
17134 r-mass
17135 r-psych
17136 r-scran
17137 r-stringr))
17138 (native-inputs
17139 (list r-knitr))
17140 (home-page "https://github.com/xyang2uchicago/BioTIP")
17141 (synopsis "R package for characterization of biological tipping-point")
17142 (description
17143 "This package adopts tipping-point theory to transcriptome profiles to
17144 help unravel disease regulatory trajectory.")
17145 (license license:gpl2)))
17146
17147 (define-public r-biotmle
17148 (package
17149 (name "r-biotmle")
17150 (version "1.20.0")
17151 (source
17152 (origin
17153 (method url-fetch)
17154 (uri (bioconductor-uri "biotmle" version))
17155 (sha256
17156 (base32
17157 "1frig90krvfdk6nwpmslpj0pvligyzwzfwwci7hzwcmbglk5jj22"))))
17158 (properties `((upstream-name . "biotmle")))
17159 (build-system r-build-system)
17160 (propagated-inputs
17161 (list r-assertthat
17162 r-biocgenerics
17163 r-biocparallel
17164 r-dplyr
17165 r-drtmle
17166 r-ggplot2
17167 r-ggsci
17168 r-limma
17169 r-s4vectors
17170 r-summarizedexperiment
17171 r-superheat
17172 r-tibble))
17173 (native-inputs
17174 (list r-knitr))
17175 (home-page "https://code.nimahejazi.org/biotmle/")
17176 (synopsis "Targeted learning with moderated statistics for biomarker discovery")
17177 (description
17178 "This package provides tools for differential expression biomarker
17179 discovery based on microarray and next-generation sequencing data that
17180 leverage efficient semiparametric estimators of the average treatment effect
17181 for variable importance analysis. Estimation and inference of the (marginal)
17182 average treatment effects of potential biomarkers are computed by targeted
17183 minimum loss-based estimation, with joint, stable inference constructed across
17184 all biomarkers using a generalization of moderated statistics for use with the
17185 estimated efficient influence function. The procedure accommodates the use of
17186 ensemble machine learning for the estimation of nuisance functions.")
17187 (license license:expat)))
17188
17189 (define-public r-bsseq
17190 (package
17191 (name "r-bsseq")
17192 (version "1.32.0")
17193 (source
17194 (origin
17195 (method url-fetch)
17196 (uri (bioconductor-uri "bsseq" version))
17197 (sha256
17198 (base32
17199 "1jpfib2vb6hd7pgh3d33jgch24lba175zmbalwsbgvlmmyyf1ki5"))))
17200 (properties `((upstream-name . "bsseq")))
17201 (build-system r-build-system)
17202 (propagated-inputs
17203 (list r-beachmat
17204 r-biobase
17205 r-biocgenerics
17206 r-biocparallel
17207 r-biostrings
17208 r-bsgenome
17209 r-data-table
17210 r-delayedarray
17211 r-delayedmatrixstats
17212 r-genomeinfodb
17213 r-genomicranges
17214 r-gtools
17215 r-hdf5array
17216 r-iranges
17217 r-limma
17218 r-locfit
17219 r-permute
17220 r-r-utils
17221 r-rcpp
17222 r-rhdf5
17223 r-s4vectors
17224 r-scales
17225 r-summarizedexperiment))
17226 (native-inputs
17227 (list r-knitr))
17228 (home-page "https://github.com/hansenlab/bsseq")
17229 (synopsis "Analyze, manage and store bisulfite sequencing data")
17230 (description
17231 "This package provides a collection of tools for analyzing and
17232 visualizing bisulfite sequencing data.")
17233 (license license:artistic2.0)))
17234
17235 (define-public r-dada2
17236 (package
17237 (name "r-dada2")
17238 (version "1.24.0")
17239 (source (origin
17240 (method url-fetch)
17241 (uri (bioconductor-uri "dada2" version))
17242 (sha256
17243 (base32
17244 "0nvjnmcjh0i660y8s3rh9b3zl163wxdx7qm2n36m6vf0iy987l4x"))))
17245 (properties `((upstream-name . "dada2")))
17246 (build-system r-build-system)
17247 (propagated-inputs
17248 (list r-biocgenerics
17249 r-biostrings
17250 r-ggplot2
17251 r-iranges
17252 r-rcpp
17253 r-rcppparallel
17254 r-reshape2
17255 r-shortread
17256 r-xvector))
17257 (native-inputs (list r-knitr))
17258 (home-page "https://benjjneb.github.io/dada2/")
17259 (synopsis
17260 "Accurate, high-resolution sample inference from amplicon sequencing data")
17261 (description
17262 "The dada2 package infers exact @dfn{amplicon sequence variants} (ASVs)
17263 from high-throughput amplicon sequencing data, replacing the coarser and less
17264 accurate OTU clustering approach. The dada2 pipeline takes as input
17265 demultiplexed fastq files, and outputs the sequence variants and their
17266 sample-wise abundances after removing substitution and chimera errors.
17267 Taxonomic classification is available via a native implementation of the RDP
17268 naive Bayesian classifier, and species-level assignment to 16S rRNA gene
17269 fragments by exact matching.")
17270 (license license:lgpl2.0)))
17271
17272 (define-public r-dmrseq
17273 (package
17274 (name "r-dmrseq")
17275 (version "1.16.0")
17276 (source
17277 (origin
17278 (method url-fetch)
17279 (uri (bioconductor-uri "dmrseq" version))
17280 (sha256
17281 (base32
17282 "1c99l62fi26bnbvpzrlsvvs722za0l5vfhddcrhzzzasabhccb4n"))))
17283 (properties `((upstream-name . "dmrseq")))
17284 (build-system r-build-system)
17285 (propagated-inputs
17286 (list r-annotationhub
17287 r-annotatr
17288 r-biocparallel
17289 r-bsseq
17290 r-bumphunter
17291 r-delayedmatrixstats
17292 r-genomeinfodb
17293 r-genomicranges
17294 r-ggplot2
17295 r-iranges
17296 r-locfit
17297 r-matrixstats
17298 r-nlme
17299 r-outliers
17300 r-rcolorbrewer
17301 r-rtracklayer
17302 r-s4vectors))
17303 (native-inputs
17304 (list r-knitr))
17305 (home-page "https://bioconductor.org/packages/dmrseq")
17306 (synopsis "Detection and inference of differentially methylated regions")
17307 (description
17308 "This package implements an approach for scanning the genome to detect
17309 and perform accurate inference on differentially methylated regions from Whole
17310 Genome Bisulfite Sequencing data. The method is based on comparing detected
17311 regions to a pooled null distribution, that can be implemented even when as
17312 few as two samples per population are available. Region-level statistics are
17313 obtained by fitting a @dfn{generalized least squares} (GLS) regression model
17314 with a nested autoregressive correlated error structure for the effect of
17315 interest on transformed methylation proportions.")
17316 (license license:expat)))
17317
17318 (define-public r-omicade4
17319 (package
17320 (name "r-omicade4")
17321 (version "1.36.0")
17322 (source (origin
17323 (method url-fetch)
17324 (uri (bioconductor-uri "omicade4" version))
17325 (sha256
17326 (base32
17327 "1l7w3sczsimg640klq8navgdcwjj090wjqd40n4mw76pny2xj2lj"))))
17328 (properties `((upstream-name . "omicade4")))
17329 (build-system r-build-system)
17330 (propagated-inputs (list r-ade4 r-biobase r-made4))
17331 (home-page "https://bioconductor.org/packages/omicade4")
17332 (synopsis "Multiple co-inertia analysis of omics datasets")
17333 (description
17334 "This package performes multiple co-inertia analysis of omics datasets.")
17335 (license license:gpl2)))
17336
17337 (define-public r-omnipathr
17338 (package
17339 (name "r-omnipathr")
17340 (version "3.4.0")
17341 (source
17342 (origin
17343 (method url-fetch)
17344 (uri (bioconductor-uri "OmnipathR" version))
17345 (sha256
17346 (base32 "0vk0fv09j3ql78mzzhdxwxb2b83qqdz2qfd8wpp1vydmcx2vvgni"))))
17347 (properties `((upstream-name . "OmnipathR")))
17348 (build-system r-build-system)
17349 (arguments
17350 `(#:phases
17351 (modify-phases %standard-phases
17352 (add-after 'unpack 'set-HOME
17353 (lambda _ (setenv "HOME" "/tmp"))))))
17354 (propagated-inputs
17355 (list r-checkmate
17356 r-crayon
17357 r-curl
17358 r-digest
17359 r-dplyr
17360 r-httr
17361 r-igraph
17362 r-jsonlite
17363 r-later
17364 r-logger
17365 r-magrittr
17366 r-progress
17367 r-purrr
17368 r-rappdirs
17369 r-readr
17370 r-readxl
17371 r-rlang
17372 r-stringr
17373 r-tibble
17374 r-tidyr
17375 r-tidyselect
17376 r-withr
17377 r-xml2
17378 r-yaml))
17379 (native-inputs (list r-knitr))
17380 (home-page "https://saezlab.github.io/OmnipathR/")
17381 (synopsis "OmniPath web service client and more")
17382 (description
17383 "This package provides a client for the OmniPath web service and many
17384 other resources. It also includes functions to transform and pretty print
17385 some of the downloaded data, functions to access a number of other resources.
17386 Furthermore, OmnipathR features a close integration with the NicheNet method
17387 for ligand activity prediction from transcriptomics data.")
17388 (license license:expat)))
17389
17390 (define-public r-biscuiteer
17391 (package
17392 (name "r-biscuiteer")
17393 (version "1.10.0")
17394 (source
17395 (origin
17396 (method url-fetch)
17397 (uri (bioconductor-uri "biscuiteer" version))
17398 (sha256
17399 (base32
17400 "0y7vbdaafiga16yr0d22w1v4p0jmczndcar0r0km06f5y1b74amr"))))
17401 (properties `((upstream-name . "biscuiteer")))
17402 (build-system r-build-system)
17403 (propagated-inputs
17404 (list r-biobase
17405 r-biocgenerics
17406 r-biocparallel
17407 r-biscuiteerdata
17408 r-bsseq
17409 r-data-table
17410 r-delayedmatrixstats
17411 r-dmrseq
17412 r-genomeinfodb
17413 r-genomicranges
17414 r-gtools
17415 r-hdf5array
17416 r-homo-sapiens
17417 r-impute
17418 r-iranges
17419 r-matrix
17420 r-matrixstats
17421 r-mus-musculus
17422 r-qdnaseq
17423 r-qualv
17424 r-r-utils
17425 r-readr
17426 r-rsamtools
17427 r-rtracklayer
17428 r-s4vectors
17429 r-summarizedexperiment
17430 r-variantannotation))
17431 (native-inputs
17432 (list r-knitr))
17433 (home-page "https://github.com/trichelab/biscuiteer")
17434 (synopsis "Convenience functions for the Biscuit package")
17435 (description
17436 "This package provides a test harness for bsseq loading of Biscuit
17437 output, summarization of WGBS data over defined regions and in mappable
17438 samples, with or without imputation, dropping of mostly-NA rows, age
17439 estimates, etc.")
17440 (license license:gpl3)))
17441
17442 (define-public r-tcgabiolinks
17443 (package
17444 (name "r-tcgabiolinks")
17445 (version "2.24.3")
17446 (source
17447 (origin
17448 (method url-fetch)
17449 (uri (bioconductor-uri "TCGAbiolinks" version))
17450 (sha256
17451 (base32 "0visvfhzaf0p1rb5vjkmw1c91zfxpks8nl9nbl9xlnpm8lkmmkms"))))
17452 (properties `((upstream-name . "TCGAbiolinks")))
17453 (build-system r-build-system)
17454 (propagated-inputs
17455 (list r-biomart
17456 r-data-table
17457 r-downloader
17458 r-dplyr
17459 r-genomicranges
17460 r-ggplot2
17461 r-httr
17462 r-iranges
17463 r-jsonlite
17464 r-knitr
17465 r-plyr
17466 r-purrr
17467 r-r-utils
17468 r-readr
17469 r-rvest
17470 r-s4vectors
17471 r-stringr
17472 r-summarizedexperiment
17473 r-tcgabiolinksgui-data
17474 r-tibble
17475 r-tidyr
17476 r-xml
17477 r-xml2))
17478 (native-inputs (list r-knitr))
17479 (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinks")
17480 (synopsis "Integrative analysis with GDC data")
17481 (description
17482 "The aim of TCGAbiolinks is:
17483
17484 @enumerate
17485 @item facilitate GDC open-access data retrieval;
17486 @item prepare the data using the appropriate pre-processing strategies;
17487 @item provide the means to carry out different standard analyses, and;
17488 @item to easily reproduce earlier research results.
17489 @end enumerate
17490
17491 In more detail, the package provides multiple methods for analysis (e.g.,
17492 differential expression analysis, identifying differentially methylated
17493 regions) and methods for visualization (e.g., survival plots, volcano plots,
17494 starburst plots) in order to easily develop complete analysis pipelines.")
17495 (license license:gpl3+)))
17496
17497 (define-public r-tricycle
17498 (package
17499 (name "r-tricycle")
17500 (version "1.4.0")
17501 (source (origin
17502 (method url-fetch)
17503 (uri (bioconductor-uri "tricycle" version))
17504 (sha256
17505 (base32
17506 "0bjkajcz6xcfak6071d0ihakrvgf7s0pmkn6vqkjd6yxbfld7zln"))))
17507 (properties `((upstream-name . "tricycle")))
17508 (build-system r-build-system)
17509 (propagated-inputs
17510 (list r-annotationdbi
17511 r-circular
17512 r-dplyr
17513 r-genomicranges
17514 r-ggnewscale
17515 r-ggplot2
17516 r-iranges
17517 r-rcolorbrewer
17518 r-s4vectors
17519 r-scater
17520 r-scattermore
17521 r-singlecellexperiment
17522 r-summarizedexperiment))
17523 (native-inputs (list r-knitr))
17524 (home-page "https://github.com/hansenlab/tricycle")
17525 (synopsis "Transferable representation and inference of cell cycle")
17526 (description
17527 "The package contains functions to infer and visualize cell cycle process
17528 using Single-cell RNA-Seq data. It exploits the idea of transfer learning,
17529 projecting new data to the previous learned biologically interpretable space.
17530 The @code{tricycle} provides a pre-learned cell cycle space, which could be
17531 used to infer cell cycle time of human and mouse single cell samples. In
17532 addition, it also offer functions to visualize cell cycle time on different
17533 embeddings and functions to build new reference.")
17534 (license license:gpl3)))
17535
17536 (define-public r-tximeta
17537 (package
17538 (name "r-tximeta")
17539 (version "1.14.1")
17540 (source
17541 (origin
17542 (method url-fetch)
17543 (uri (bioconductor-uri "tximeta" version))
17544 (sha256
17545 (base32
17546 "0hxq5lkrdiz0a3xpl88adrv4m55jr6g46a5m9pamc0w4bxddirr8"))))
17547 (properties `((upstream-name . "tximeta")))
17548 (build-system r-build-system)
17549 (propagated-inputs
17550 (list r-annotationdbi
17551 r-annotationhub
17552 r-biocfilecache
17553 r-biostrings
17554 r-ensembldb
17555 r-genomeinfodb
17556 r-genomicfeatures
17557 r-genomicranges
17558 r-iranges
17559 r-jsonlite
17560 r-matrix
17561 r-s4vectors
17562 r-summarizedexperiment
17563 r-tibble
17564 r-tximport))
17565 (native-inputs
17566 (list r-knitr))
17567 (home-page "https://github.com/mikelove/tximeta")
17568 (synopsis "Transcript quantification import with automatic metadata")
17569 (description
17570 "This package implements transcript quantification import from Salmon and
17571 alevin with automatic attachment of transcript ranges and release information,
17572 and other associated metadata. De novo transcriptomes can be linked to the
17573 appropriate sources with linkedTxomes and shared for computational
17574 reproducibility.")
17575 (license license:gpl2)))
17576
17577 (define-public r-phyloseq
17578 (package
17579 (name "r-phyloseq")
17580 (version "1.40.0")
17581 (source
17582 (origin
17583 (method url-fetch)
17584 (uri (bioconductor-uri "phyloseq" version))
17585 (sha256
17586 (base32 "0hcyv4ziyaw74mc9vf7bad3q9izi9p0whg3hspbs6w8b3hp34y2k"))))
17587 (properties `((upstream-name . "phyloseq")))
17588 (build-system r-build-system)
17589 (propagated-inputs
17590 (list r-ade4
17591 r-ape
17592 r-biobase
17593 r-biocgenerics
17594 r-biomformat
17595 r-biostrings
17596 r-cluster
17597 r-data-table
17598 r-foreach
17599 r-ggplot2
17600 r-igraph
17601 r-multtest
17602 r-plyr
17603 r-reshape2
17604 r-scales
17605 r-vegan))
17606 (native-inputs
17607 (list r-knitr))
17608 (home-page "https://github.com/joey711/phyloseq")
17609 (synopsis "Handling and analysis of high-throughput microbiome census data")
17610 (description
17611 "Phyloseq provides a set of classes and tools to facilitate the import,
17612 storage, analysis, and graphical display of microbiome census data.")
17613 (license license:agpl3)))
17614
17615 ;;;
17616 ;;; Avoid adding new packages to the end of this file. To reduce the chances
17617 ;;; of a merge conflict, place them above by existing packages with similar
17618 ;;; functionality or similar names.
17619 ;;;