a0ecec84982d587bae5d15ca3e7e208c67b9c85b
[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-asset
2321 (package
2322 (name "r-asset")
2323 (version "2.14.0")
2324 (source (origin
2325 (method url-fetch)
2326 (uri (bioconductor-uri "ASSET" version))
2327 (sha256
2328 (base32
2329 "029acl5k9d4hnvy3jia9cr4rk6w31zn8b5s79i6lazq1cp236hbg"))))
2330 (properties `((upstream-name . "ASSET")))
2331 (build-system r-build-system)
2332 (propagated-inputs (list r-mass r-msm r-rmeta))
2333 (native-inputs (list r-knitr))
2334 (home-page "https://bioconductor.org/packages/ASSET")
2335 (synopsis
2336 "Subset-based association analysis of heterogeneous traits and subtypes")
2337 (description
2338 "This package is an R program for the subset-based analysis of
2339 heterogeneous traits and disease subtypes. ASSET allows the user to search
2340 through all possible subsets of z-scores to identify the subset of traits
2341 giving the best meta-analyzed z-score. Further, it returns a p-value
2342 adjusting for the multiple-testing involved in the search. It also allows for
2343 searching for the best combination of disease subtypes associated with each
2344 variant.")
2345 (license license:gpl2)))
2346
2347 (define-public r-atena
2348 (package
2349 (name "r-atena")
2350 (version "1.2.2")
2351 (source (origin
2352 (method url-fetch)
2353 (uri (bioconductor-uri "atena" version))
2354 (sha256
2355 (base32
2356 "0b89wb7cc44c8jd6868dn8pwgid768bprkncsi87qkdz0abbhzhp"))))
2357 (properties `((upstream-name . "atena")))
2358 (build-system r-build-system)
2359 (propagated-inputs
2360 (list r-annotationhub
2361 r-biocgenerics
2362 r-biocparallel
2363 r-genomeinfodb
2364 r-genomicalignments
2365 r-genomicranges
2366 r-iranges
2367 r-matrix
2368 r-rsamtools
2369 r-s4vectors
2370 r-scales
2371 r-sparsematrixstats
2372 r-squarem
2373 r-summarizedexperiment))
2374 (native-inputs (list r-knitr))
2375 (home-page "https://github.com/functionalgenomics/atena")
2376 (synopsis "Analysis of transposable elements")
2377 (description
2378 "The atena package quantifies expression of @dfn{TEs} (transposable
2379 elements) from RNA-seq data through different methods, including ERVmap,
2380 TEtranscripts and Telescope. A common interface is provided to use each of
2381 these methods, which consists of building a parameter object, calling the
2382 quantification function with this object and getting a
2383 @code{SummarizedExperiment} object as an output container of the quantified
2384 expression profiles. The implementation allows quantifing TEs and gene
2385 transcripts in an integrated manner.")
2386 (license license:artistic2.0)))
2387
2388 (define-public r-atsnp
2389 (package
2390 (name "r-atsnp")
2391 (version "1.12.0")
2392 (source (origin
2393 (method url-fetch)
2394 (uri (bioconductor-uri "atSNP" version))
2395 (sha256
2396 (base32
2397 "0dmv34xqwr3l2rznapxmyrkyf1w78qzxdv88s5nn8s1m8qdkgwkz"))))
2398 (properties `((upstream-name . "atSNP")))
2399 (build-system r-build-system)
2400 (propagated-inputs
2401 (list r-biocfilecache
2402 r-biocparallel
2403 r-bsgenome
2404 r-data-table
2405 r-ggplot2
2406 r-lifecycle
2407 r-motifstack
2408 r-rappdirs
2409 r-rcpp
2410 r-testthat))
2411 (native-inputs (list r-knitr))
2412 (home-page "https://github.com/sunyoungshin/atSNP")
2413 (synopsis
2414 "Affinity test for identifying regulatory single nucleotide polymorphisms")
2415 (description
2416 "The atSNP package performs affinity tests of motif matches with the
2417 @dfn{SNP} (single nucleotide polymorphism) or the reference genomes and
2418 SNP-led changes in motif matches.")
2419 (license license:gpl2)))
2420
2421 (define-public r-attract
2422 (package
2423 (name "r-attract")
2424 (version "1.48.0")
2425 (source (origin
2426 (method url-fetch)
2427 (uri (bioconductor-uri "attract" version))
2428 (sha256
2429 (base32
2430 "0f1fsv278kpnxvqg9qa5rw2k3zr8zws0ab73ldl60h6pv9cy8x82"))))
2431 (properties `((upstream-name . "attract")))
2432 (build-system r-build-system)
2433 (propagated-inputs
2434 (list r-annotationdbi
2435 r-biobase
2436 r-cluster
2437 r-gostats
2438 r-keggrest
2439 r-limma
2440 r-org-hs-eg-db
2441 r-reactome-db))
2442 (home-page "https://bioconductor.org/packages/attract")
2443 (synopsis "Finding drivers of Kauffman's attractor landscape")
2444 (description
2445 "This package contains the functions to find the gene expression modules
2446 that represent the drivers of Kauffman's attractor landscape. The modules are
2447 the core attractor pathways that discriminate between different cell types of
2448 groups of interest. Each pathway has a set of synexpression groups, which show
2449 transcriptionally-coordinated changes in gene expression.")
2450 (license license:lgpl2.0+)))
2451
2452 (define-public r-awfisher
2453 (package
2454 (name "r-awfisher")
2455 (version "1.10.0")
2456 (source (origin
2457 (method url-fetch)
2458 (uri (bioconductor-uri "AWFisher" version))
2459 (sha256
2460 (base32
2461 "050k7w0azsl7rqx2pxgccihzc2q8pmh6fyy4gib2d42sdyijr2n1"))))
2462 (properties `((upstream-name . "AWFisher")))
2463 (build-system r-build-system)
2464 (propagated-inputs
2465 (list r-edger
2466 r-limma))
2467 (native-inputs (list r-knitr))
2468 (home-page "https://bioconductor.org/packages/AWFisher")
2469 (synopsis "Fast computing for adaptively weighted fisher's method")
2470 (description
2471 "This package is an implementation of the Adaptively Weighted Fisher's
2472 method, including fast p-value computing, variability index, and
2473 meta-pattern.")
2474 (license license:gpl3)))
2475
2476 (define-public r-awst
2477 (package
2478 (name "r-awst")
2479 (version "1.4.0")
2480 (source (origin
2481 (method url-fetch)
2482 (uri (bioconductor-uri "awst" version))
2483 (sha256
2484 (base32
2485 "0iw3zycmj95rmdx7f2w0j4yxkzd90y87lrzgdn9cyvvzi5avflav"))))
2486 (properties `((upstream-name . "awst")))
2487 (build-system r-build-system)
2488 (propagated-inputs (list r-summarizedexperiment))
2489 (native-inputs (list r-knitr))
2490 (home-page "https://github.com/drisso/awst")
2491 (synopsis "Asymmetric within-sample transformation")
2492 (description
2493 "This package @dfn{awst} (Asymmetric Within-Sample Transformation) that
2494 regularizes RNA-seq read counts and reduces the effect of noise on the
2495 classification of samples. AWST comprises two main steps: standardization and
2496 smoothing. These steps transform gene expression data to reduce the noise of
2497 the lowly expressed features, which suffer from background effects and low
2498 signal-to-noise ratio, and the influence of the highly expressed features,
2499 which may be the result of amplification bias and other experimental
2500 artifacts.")
2501 (license license:expat)))
2502
2503 (define-public r-baalchip
2504 (package
2505 (name "r-baalchip")
2506 (version "1.22.0")
2507 (source (origin
2508 (method url-fetch)
2509 (uri (bioconductor-uri "BaalChIP" version))
2510 (sha256
2511 (base32
2512 "02qwk9n2fyg5f9xxjiiha9mi6p9ii3zi5x7w84sh5d5g58s27g6q"))))
2513 (properties `((upstream-name . "BaalChIP")))
2514 (build-system r-build-system)
2515 (inputs (list perl)) ; extra/get.overlaps.v2_chrXY.perl
2516 (propagated-inputs
2517 (list r-coda
2518 r-doby
2519 r-doparallel
2520 r-foreach
2521 r-genomeinfodb
2522 r-genomicalignments
2523 r-genomicranges
2524 r-ggplot2
2525 r-iranges
2526 r-reshape2
2527 r-rsamtools
2528 r-scales))
2529 (native-inputs (list r-knitr))
2530 (home-page "https://bioconductor.org/packages/BaalChIP")
2531 (synopsis
2532 "Analysis of allele-specific transcription factor binding in cancer genomes")
2533 (description
2534 "This package offers functions to process multiple @code{ChIP-seq BAM}
2535 files and detect allele-specific events. It computes allele counts at
2536 individual variants (SNPs/SNVs), implements extensive @dfn{QC} (quality
2537 control) steps to remove problematic variants, and utilizes a Bayesian
2538 framework to identify statistically significant allele-specific events.
2539 BaalChIP is able to account for copy number differences between the two
2540 alleles, a known phenotypical feature of cancer samples.")
2541 (license license:artistic2.0)))
2542
2543 (define-public r-basespacer
2544 (package
2545 (name "r-basespacer")
2546 (version "1.40.0")
2547 (source (origin
2548 (method url-fetch)
2549 (uri (bioconductor-uri "BaseSpaceR" version))
2550 (sha256
2551 (base32
2552 "0jyw4pnybsd6ywpaamk5ywkrcib2z48farsnszmwq97zlbmra7fj"))))
2553 (properties `((upstream-name . "BaseSpaceR")))
2554 (build-system r-build-system)
2555 (propagated-inputs (list r-rcurl r-rjsonio))
2556 (home-page "https://bioconductor.org/packages/BaseSpaceR")
2557 (synopsis "R SDK for BaseSpace RESTful API")
2558 (description
2559 "This package provides an R interface to Illumina's BaseSpace cloud
2560 computing environment, enabling the fast development of data analysis and
2561 visualization tools. Besides providing an easy to use set of tools for
2562 manipulating the data from BaseSpace, it also facilitates the access to R's
2563 rich environment of statistical and data analysis tools.")
2564 (license license:asl2.0)))
2565
2566 (define-public r-bac
2567 (package
2568 (name "r-bac")
2569 (version "1.56.0")
2570 (source (origin
2571 (method url-fetch)
2572 (uri (bioconductor-uri "BAC" version))
2573 (sha256
2574 (base32
2575 "0dkw7438d2sf6nb577dnzija54qs0nhlr47lb73li60fhlnvqmh2"))))
2576 (properties `((upstream-name . "BAC")))
2577 (build-system r-build-system)
2578 (home-page "https://bioconductor.org/packages/BAC")
2579 (synopsis "Bayesian analysis of Chip-chip experiment")
2580 (description
2581 "This package uses a Bayesian hierarchical model to detect enriched
2582 regions from ChIP-chip experiments. The common goal in analyzing this
2583 ChIP-chip data is to detect DNA-protein interactions from ChIP-chip
2584 experiments. The BAC package has mainly been tested with Affymetrix tiling
2585 array data. However, we expect it to work with other platforms (e.g. Agilent,
2586 Nimblegen, cDNA, etc.). Note that BAC does not deal with normalization, so
2587 you will have to normalize your data beforehand.")
2588 (license license:artistic2.0)))
2589
2590 (define-public r-bader
2591 (package
2592 (name "r-bader")
2593 (version "1.34.0")
2594 (source (origin
2595 (method url-fetch)
2596 (uri (bioconductor-uri "BADER" version))
2597 (sha256
2598 (base32
2599 "0i5x1r2ns1hxhqk5jyfqird81hck1hllvvgx5bn0rb5vl99g8spm"))))
2600 (properties `((upstream-name . "BADER")))
2601 (build-system r-build-system)
2602 (home-page "https://bioconductor.org/packages/BADER")
2603 (synopsis
2604 "Bayesian analysis of differential expression in RNA sequencing data")
2605 (description
2606 "The BADER package is intended for the analysis of RNA sequencing data.
2607 The algorithm fits a Bayesian hierarchical model for RNA sequencing count
2608 data. BADER returns the posterior probability of differential expression for
2609 each gene between two groups A and B. The joint posterior distribution of the
2610 variables in the model can be returned in the form of posterior samples, which
2611 can be used for further down-stream analyses such as gene set enrichment.")
2612 (license license:gpl2)))
2613
2614 (define-public r-badregionfinder
2615 (package
2616 (name "r-badregionfinder")
2617 (version "1.24.0")
2618 (source (origin
2619 (method url-fetch)
2620 (uri (bioconductor-uri "BadRegionFinder" version))
2621 (sha256
2622 (base32
2623 "1a1pqmh5ak9s3k1lxw6flanchk24zyznwm34ixi2b78wdc3hqgm9"))))
2624 (properties `((upstream-name . "BadRegionFinder")))
2625 (build-system r-build-system)
2626 (propagated-inputs
2627 (list r-biomart
2628 r-genomicranges
2629 r-rsamtools
2630 r-s4vectors
2631 r-variantannotation))
2632 (home-page "https://bioconductor.org/packages/BadRegionFinder")
2633 (synopsis "Identifying regions with bad coverage in sequence alignment data")
2634 (description
2635 "BadRegionFinder is a package for identifying regions with a bad,
2636 acceptable and good coverage in sequence alignment data available as bam
2637 files. The whole genome may be considered as well as a set of target regions.
2638 Various visual and textual types of output are available.")
2639 (license license:lgpl3)))
2640
2641 (define-public r-bambu
2642 (package
2643 (name "r-bambu")
2644 (version "2.2.0")
2645 (source (origin
2646 (method url-fetch)
2647 (uri (bioconductor-uri "bambu" version))
2648 (sha256
2649 (base32
2650 "0dc2hpnykr575jbrq9whmdabknl70s2hcs6gkmkl4kpv7xfqdq6w"))))
2651 (properties `((upstream-name . "bambu")))
2652 (build-system r-build-system)
2653 (propagated-inputs
2654 (list r-biocgenerics
2655 r-biocparallel
2656 r-bsgenome
2657 r-data-table
2658 r-dplyr
2659 r-genomeinfodb
2660 r-genomicalignments
2661 r-genomicfeatures
2662 r-genomicranges
2663 r-iranges
2664 r-rcpp
2665 r-rcpparmadillo
2666 r-rsamtools
2667 r-s4vectors
2668 r-summarizedexperiment
2669 r-tidyr
2670 r-xgboost))
2671 (native-inputs (list r-knitr))
2672 (home-page "https://github.com/GoekeLab/bambu")
2673 (synopsis
2674 "Isoform reconstruction and quantification for long read RNA-Seq data")
2675 (description
2676 "This R package is for multi-sample transcript discovery and
2677 quantification using long read RNA-Seq data. You can use bambu after read
2678 alignment to obtain expression estimates for known and novel transcripts and
2679 genes. The output from bambu can directly be used for visualisation and
2680 downstream analysis, such as differential gene expression or transcript
2681 usage.")
2682 (license license:gpl3)))
2683
2684 (define-public r-bandits
2685 (package
2686 (name "r-bandits")
2687 (version "1.12.0")
2688 (source (origin
2689 (method url-fetch)
2690 (uri (bioconductor-uri "BANDITS" version))
2691 (sha256
2692 (base32
2693 "1423djb7cij68y0q2dcp8q7lrcn2fxjn6d25v4qy3w00b2w8ppg9"))))
2694 (properties `((upstream-name . "BANDITS")))
2695 (build-system r-build-system)
2696 (propagated-inputs
2697 (list r-biocparallel
2698 r-data-table
2699 r-doparallel
2700 r-dorng
2701 r-drimseq
2702 r-foreach
2703 r-ggplot2
2704 r-mass
2705 r-r-utils
2706 r-rcpp
2707 r-rcpparmadillo))
2708 (native-inputs (list r-knitr))
2709 (home-page "https://github.com/SimoneTiberi/BANDITS")
2710 (synopsis "Bayesian analysis of differential splicing")
2711 (description
2712 "BANDITS is a Bayesian hierarchical model for detecting differential
2713 splicing of genes and transcripts, via @dfn{DTU} (differential transcript
2714 usage), between two or more conditions. The method uses a Bayesian
2715 hierarchical framework, which allows for sample specific proportions in a
2716 Dirichlet-Multinomial model, and samples the allocation of fragments to the
2717 transcripts. Parameters are inferred via @dfn{MCMC} (Markov chain Monte
2718 Carlo) techniques and a DTU test is performed via a multivariate Wald test on
2719 the posterior densities for the average relative abundance of transcripts.")
2720 (license license:gpl3+)))
2721
2722 (define-public r-banocc
2723 (package
2724 (name "r-banocc")
2725 (version "1.20.0")
2726 (source (origin
2727 (method url-fetch)
2728 (uri (bioconductor-uri "banocc" version))
2729 (sha256
2730 (base32
2731 "10vaggq1w5jkxd8r2k1mhymzvb7x3h8afwn2pvmcpj022ka7xhbx"))))
2732 (properties `((upstream-name . "banocc")))
2733 (build-system r-build-system)
2734 (propagated-inputs
2735 (list r-coda
2736 r-mvtnorm
2737 r-rstan
2738 r-stringr))
2739 (native-inputs (list r-knitr))
2740 (home-page "https://bioconductor.org/packages/banocc")
2741 (synopsis "Bayesian analysis of compositional covariance")
2742 (description
2743 "BAnOCC is a package designed for compositional data, where each sample
2744 sums to one. It infers the approximate covariance of the unconstrained data
2745 using a Bayesian model coded with @code{rstan}. It provides as output the
2746 @code{stanfit} object as well as posterior median and credible interval
2747 estimates for each correlation element.")
2748 (license license:expat)))
2749
2750 (define-public r-barcodetrackr
2751 (package
2752 (name "r-barcodetrackr")
2753 (version "1.4.0")
2754 (source (origin
2755 (method url-fetch)
2756 (uri (bioconductor-uri "barcodetrackR" version))
2757 (sha256
2758 (base32
2759 "0yxa15xkgqazw31vq4wm8v747bw4qb18m6i602pvynk0n5bgg3d3"))))
2760 (properties `((upstream-name . "barcodetrackR")))
2761 (build-system r-build-system)
2762 (propagated-inputs
2763 (list r-circlize
2764 r-cowplot
2765 r-dplyr
2766 r-ggdendro
2767 r-ggplot2
2768 r-ggridges
2769 r-magrittr
2770 r-plyr
2771 r-proxy
2772 r-rcolorbrewer
2773 r-rlang
2774 r-s4vectors
2775 r-scales
2776 r-shiny
2777 r-summarizedexperiment
2778 r-tibble
2779 r-tidyr
2780 r-vegan
2781 r-viridis))
2782 (native-inputs (list r-knitr))
2783 (home-page "https://github.com/dunbarlabNIH/barcodetrackR")
2784 (synopsis "Functions for analyzing cellular barcoding data")
2785 (description
2786 "This package is developed for the analysis and visualization of clonal
2787 tracking data. The required data is formed by samples and tag abundances in
2788 matrix form, usually from cellular barcoding experiments, integration site
2789 retrieval analyses, or similar technologies.")
2790 (license license:cc0)))
2791
2792 (define-public r-biocversion
2793 (package
2794 (name "r-biocversion")
2795 (version "3.15.2")
2796 (source
2797 (origin
2798 (method url-fetch)
2799 (uri (bioconductor-uri "BiocVersion" version))
2800 (sha256
2801 (base32
2802 "0rs4nyza4hqqk204d037gi013135wgfhx5asq2dsdjc9vk5nwzfn"))))
2803 (properties `((upstream-name . "BiocVersion")))
2804 (build-system r-build-system)
2805 (home-page "https://bioconductor.org/packages/BiocVersion/")
2806 (synopsis "Set the appropriate version of Bioconductor packages")
2807 (description
2808 "This package provides repository information for the appropriate version
2809 of Bioconductor.")
2810 (license license:artistic2.0)))
2811
2812 (define-public r-biocgenerics
2813 (package
2814 (name "r-biocgenerics")
2815 (version "0.42.0")
2816 (source (origin
2817 (method url-fetch)
2818 (uri (bioconductor-uri "BiocGenerics" version))
2819 (sha256
2820 (base32
2821 "0iv9bnpw2hycndwbmjsszqfwrksz6dfr6qcz78jkssc9ldsgmdhc"))))
2822 (properties
2823 `((upstream-name . "BiocGenerics")))
2824 (build-system r-build-system)
2825 (home-page "https://bioconductor.org/packages/BiocGenerics")
2826 (synopsis "S4 generic functions for Bioconductor")
2827 (description
2828 "This package provides S4 generic functions needed by many Bioconductor
2829 packages.")
2830 (license license:artistic2.0)))
2831
2832 (define-public r-coverageview
2833 (package
2834 (name "r-coverageview")
2835 (version "1.34.0")
2836 (source (origin
2837 (method url-fetch)
2838 (uri (bioconductor-uri "CoverageView" version))
2839 (sha256
2840 (base32
2841 "0mh66l4yh6rpd1r7qbqwh5jkklqyvpfiap0zcqhz9kimssm2pbbp"))))
2842 (build-system r-build-system)
2843 (propagated-inputs
2844 (list r-s4vectors
2845 r-iranges
2846 r-genomicranges
2847 r-genomicalignments
2848 r-rtracklayer
2849 r-rsamtools))
2850 (home-page "https://bioconductor.org/packages/CoverageView/")
2851 (synopsis "Coverage visualization package for R")
2852 (description "This package provides a framework for the visualization of
2853 genome coverage profiles. It can be used for ChIP-seq experiments, but it can
2854 be also used for genome-wide nucleosome positioning experiments or other
2855 experiment types where it is important to have a framework in order to inspect
2856 how the coverage distributed across the genome.")
2857 (license license:artistic2.0)))
2858
2859 (define-public r-cummerbund
2860 (package
2861 (name "r-cummerbund")
2862 (version "2.38.0")
2863 (source (origin
2864 (method url-fetch)
2865 (uri (bioconductor-uri "cummeRbund" version))
2866 (sha256
2867 (base32
2868 "1p4anmi436zykp0ir307g75g23kj8b7shxg4r65qq6zdwflphm0q"))))
2869 (build-system r-build-system)
2870 (propagated-inputs
2871 (list r-biobase
2872 r-biocgenerics
2873 r-fastcluster
2874 r-ggplot2
2875 r-gviz
2876 r-plyr
2877 r-reshape2
2878 r-rsqlite
2879 r-rtracklayer
2880 r-s4vectors))
2881 (home-page "https://bioconductor.org/packages/cummeRbund/")
2882 (synopsis "Analyze Cufflinks high-throughput sequencing data")
2883 (description "This package allows for persistent storage, access,
2884 exploration, and manipulation of Cufflinks high-throughput sequencing
2885 data. In addition, provides numerous plotting functions for commonly
2886 used visualizations.")
2887 (license license:artistic2.0)))
2888
2889 (define-public r-dearseq
2890 (package
2891 (name "r-dearseq")
2892 (version "1.8.4")
2893 (source
2894 (origin
2895 (method url-fetch)
2896 (uri (bioconductor-uri "dearseq" version))
2897 (sha256
2898 (base32
2899 "1zsqsgf243gq1k57mw11d6apzccnq531mwg2wzw9mjrs1m0jsfzl"))))
2900 (build-system r-build-system)
2901 (propagated-inputs
2902 (list r-compquadform
2903 r-dplyr
2904 r-ggplot2
2905 r-kernsmooth
2906 r-magrittr
2907 r-matrixstats
2908 r-patchwork
2909 r-pbapply
2910 r-reshape2
2911 r-rlang
2912 r-statmod
2913 r-survey
2914 r-tibble
2915 r-viridislite))
2916 (native-inputs
2917 (list r-knitr))
2918 (home-page "https://github.com/borishejblum/dearseq")
2919 (synopsis "DEA for RNA-seq data through a robust variance component test")
2920 (description
2921 "This is a package for Differential Expression Analysis of RNA-seq data.
2922 It features a variance component score test accounting for data
2923 heteroscedasticity through precision weights. Perform both gene-wise and gene
2924 set analyses, and can deal with repeated or longitudinal data.")
2925 (license license:gpl2)))
2926
2927 (define-public r-decipher
2928 (package
2929 (name "r-decipher")
2930 (version "2.24.0")
2931 (source (origin
2932 (method url-fetch)
2933 (uri (bioconductor-uri "DECIPHER" version))
2934 (sha256
2935 (base32
2936 "045q2bfzgq1yzhyrzvrhrnmlpka4gikrajxxwv05szksy5nvp7q5"))))
2937 (build-system r-build-system)
2938 (propagated-inputs
2939 (list r-biostrings
2940 r-dbi
2941 r-iranges
2942 r-rsqlite
2943 r-s4vectors
2944 r-xvector))
2945 (home-page "https://www.bioconductor.org/packages/DECIPHER/")
2946 (synopsis "Tools for deciphering and managing biological sequences")
2947 (description "This package provides a toolset for deciphering and managing
2948 biological sequences.")
2949 (license license:gpl3)))
2950
2951 (define-public r-deconvr
2952 (package
2953 (name "r-deconvr")
2954 (version "1.2.0")
2955 (source (origin
2956 (method url-fetch)
2957 (uri (bioconductor-uri "deconvR" version))
2958 (sha256
2959 (base32
2960 "091z3lncamscsvzj63zzbw7dr7vnkn0jwfkm5ljq4112w4rxgrm3"))))
2961 (properties `((upstream-name . "deconvR")))
2962 (build-system r-build-system)
2963 (propagated-inputs
2964 (list r-assertthat
2965 r-biocgenerics
2966 r-data-table
2967 r-dplyr
2968 r-e1071
2969 r-foreach
2970 r-genomicranges
2971 r-iranges
2972 r-magrittr
2973 r-mass
2974 r-matrixstats
2975 r-methylkit
2976 r-nnls
2977 r-quadprog
2978 r-rsq
2979 r-s4vectors
2980 r-tidyr))
2981 (native-inputs (list r-knitr))
2982 (home-page "https://github.com/BIMSBbioinfo/deconvR")
2983 (synopsis "Simulation and deconvolution of omic profiles")
2984 (description
2985 "This package provides a collection of functions designed for analyzing
2986 deconvolution of the bulk sample(s) using an atlas of reference omic signature
2987 profiles and a user-selected model. Users are given the option to create or
2988 extend a reference atlas and,also simulate the desired size of the bulk
2989 signature profile of the reference cell types. The package includes the
2990 cell-type-specific methylation atlas and, Illumina Epic B5 probe ids that can
2991 be used in deconvolution. Additionally, we included @code{BSmeth2Probe}, to
2992 make mapping WGBS data to their probe IDs easier.")
2993 (license license:artistic2.0)))
2994
2995 (define-public r-decoupler
2996 (package
2997 (name "r-decoupler")
2998 (version "2.2.2")
2999 (source
3000 (origin
3001 (method url-fetch)
3002 (uri (bioconductor-uri "decoupleR" version))
3003 (sha256
3004 (base32 "0q1w8yw3bwx8ai5z8rw8lz97w4cplxijq93634hza2vgkig1ck9m"))))
3005 (properties `((upstream-name . "decoupleR")))
3006 (build-system r-build-system)
3007 (propagated-inputs
3008 (list r-broom
3009 r-dplyr
3010 r-magrittr
3011 r-matrix
3012 r-purrr
3013 r-rlang
3014 r-stringr
3015 r-tibble
3016 r-tidyr
3017 r-tidyselect
3018 r-withr))
3019 (native-inputs (list r-knitr))
3020 (home-page "https://saezlab.github.io/decoupleR/")
3021 (synopsis "Computational methods to infer biological activities from omics data")
3022 (description
3023 "Many methods allow us to extract biological activities from omics data using
3024 information from prior knowledge resources, reducing the dimensionality for
3025 increased statistical power and better interpretability. decoupleR is a
3026 Bioconductor package containing different statistical methods to extract these
3027 signatures within a unified framework. decoupleR allows the user to flexibly
3028 test any method with any resource. It incorporates methods that take into
3029 account the sign and weight of network interactions. decoupleR can be used
3030 with any omic, as long as its features can be linked to a biological process
3031 based on prior knowledge. For example, in transcriptomics gene sets regulated
3032 by a transcription factor, or in phospho-proteomics phosphosites that are
3033 targeted by a kinase.")
3034 (license license:gpl3)))
3035
3036 (define-public r-deepsnv
3037 (package
3038 (name "r-deepsnv")
3039 (version "1.42.1")
3040 (source (origin
3041 (method url-fetch)
3042 (uri (bioconductor-uri "deepSNV" version))
3043 (sha256
3044 (base32
3045 "0bgj1grv3a5bqhcdsw445x49kl3pz367svy6fnrzfsk9bmj46kgn"))))
3046 (properties `((upstream-name . "deepSNV")))
3047 (build-system r-build-system)
3048 (propagated-inputs
3049 (list r-biostrings
3050 r-genomicranges
3051 r-iranges
3052 r-rhtslib
3053 r-summarizedexperiment
3054 r-variantannotation
3055 r-vgam))
3056 (native-inputs
3057 (list r-knitr))
3058 (home-page "https://github.com/gerstung-lab/deepSNV/")
3059 (synopsis "Detection of subclonal SNVs in deep sequencing data")
3060 (description
3061 "This package provides quantitative variant callers for detecting
3062 subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments.
3063 The deepSNV algorithm is used for a comparative setup with a control experiment
3064 of the same loci and uses a beta-binomial model and a likelihood ratio test to
3065 discriminate sequencing errors and subclonal SNVs. The shearwater algorithm
3066 computes a Bayes classifier based on a beta-binomial model for variant calling
3067 with multiple samples for precisely estimating model parameters - such as local
3068 error rates and dispersion - and prior knowledge, e.g. from variation data
3069 bases such as COSMIC.")
3070 (license license:gpl3)))
3071
3072 (define-public r-delayedarray
3073 (package
3074 (name "r-delayedarray")
3075 (version "0.22.0")
3076 (source (origin
3077 (method url-fetch)
3078 (uri (bioconductor-uri "DelayedArray" version))
3079 (sha256
3080 (base32
3081 "11id63qza9dxl1364gllqafxmx25a0q22jv5q8h709bgc3f0grqy"))))
3082 (properties
3083 `((upstream-name . "DelayedArray")))
3084 (build-system r-build-system)
3085 (propagated-inputs
3086 (list r-biocgenerics r-s4vectors r-iranges r-matrix
3087 r-matrixgenerics))
3088 (native-inputs
3089 (list r-knitr))
3090 (home-page "https://bioconductor.org/packages/DelayedArray")
3091 (synopsis "Delayed operations on array-like objects")
3092 (description
3093 "Wrapping an array-like object (typically an on-disk object) in a
3094 @code{DelayedArray} object allows one to perform common array operations on it
3095 without loading the object in memory. In order to reduce memory usage and
3096 optimize performance, operations on the object are either delayed or executed
3097 using a block processing mechanism. Note that this also works on in-memory
3098 array-like objects like @code{DataFrame} objects (typically with Rle columns),
3099 @code{Matrix} objects, and ordinary arrays and data frames.")
3100 (license license:artistic2.0)))
3101
3102 (define-public r-derfinderhelper
3103 (package
3104 (name "r-derfinderhelper")
3105 (version "1.30.0")
3106 (source
3107 (origin
3108 (method url-fetch)
3109 (uri (bioconductor-uri "derfinderHelper" version))
3110 (sha256
3111 (base32 "0r7zbx5bfmh5cjs12y8d9qwz53nz340gdy3sx7zcn4rzn7rpslp5"))))
3112 (properties `((upstream-name . "derfinderHelper")))
3113 (build-system r-build-system)
3114 (propagated-inputs
3115 (list r-iranges r-matrix r-s4vectors))
3116 (native-inputs
3117 (list r-knitr))
3118 (home-page "https://github.com/leekgroup/derfinderHelper")
3119 (synopsis "Helper for derfinder")
3120 (description
3121 "This package speeds up the derfinder package when using multiple cores.
3122 It is particularly useful when using BiocParallel and it helps reduce the time
3123 spent loading the full derfinder package when running the F-statistics
3124 calculation in parallel.")
3125 (license license:artistic2.0)))
3126
3127 (define-public r-drimseq
3128 (package
3129 (name "r-drimseq")
3130 (version "1.24.0")
3131 (source
3132 (origin
3133 (method url-fetch)
3134 (uri (bioconductor-uri "DRIMSeq" version))
3135 (sha256
3136 (base32 "1dph483ij43ayw0z5dbnp6gwp53ka7k5si1hp3miac7z8dqzv94l"))))
3137 (properties `((upstream-name . "DRIMSeq")))
3138 (build-system r-build-system)
3139 (propagated-inputs
3140 (list r-biocgenerics
3141 r-biocparallel
3142 r-edger
3143 r-genomicranges
3144 r-ggplot2
3145 r-iranges
3146 r-limma
3147 r-mass
3148 r-reshape2
3149 r-s4vectors))
3150 (native-inputs (list r-knitr))
3151 (home-page "https://bioconductor.org/packages/DRIMSeq")
3152 (synopsis "Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq")
3153 (description
3154 "The package provides two frameworks. One for the differential
3155 transcript usage analysis between different conditions and one for the tuQTL
3156 analysis. Both are based on modeling the counts of genomic features (i.e.,
3157 transcripts) with the Dirichlet-multinomial distribution. The package also
3158 makes available functions for visualization and exploration of the data and
3159 results.")
3160 (license license:gpl3+)))
3161
3162 (define-public r-bluster
3163 (package
3164 (name "r-bluster")
3165 (version "1.6.0")
3166 (source (origin
3167 (method url-fetch)
3168 (uri (bioconductor-uri "bluster" version))
3169 (sha256
3170 (base32
3171 "1g496yc7mdhshf6r0n8xhj7ax936ia5z2cx72lqyk2vzzzl5c4v8"))))
3172 (properties `((upstream-name . "bluster")))
3173 (build-system r-build-system)
3174 (propagated-inputs
3175 (list r-biocneighbors
3176 r-biocparallel
3177 r-cluster
3178 r-igraph
3179 r-matrix
3180 r-rcpp
3181 r-s4vectors))
3182 (native-inputs
3183 (list r-knitr))
3184 (home-page "https://bioconductor.org/packages/bluster")
3185 (synopsis "Clustering algorithms for Bioconductor")
3186 (description"This package wraps common clustering algorithms in an easily
3187 extended S4 framework. Backends are implemented for hierarchical, k-means
3188 and graph-based clustering. Several utilities are also provided to compare
3189 and evaluate clustering results.")
3190 (license license:gpl3)))
3191
3192 (define-public r-ideoviz
3193 (package
3194 (name "r-ideoviz")
3195 (version "1.32.0")
3196 (source (origin
3197 (method url-fetch)
3198 (uri (bioconductor-uri "IdeoViz" version))
3199 (sha256
3200 (base32
3201 "1wwh3ifdijhpm58lw7cmnx084xwfxnc7i0206w8rhrjnvnq6ljh3"))))
3202 (build-system r-build-system)
3203 (propagated-inputs
3204 (list r-biobase
3205 r-iranges
3206 r-genomicranges
3207 r-rcolorbrewer
3208 r-rtracklayer
3209 r-genomeinfodb))
3210 (home-page "https://bioconductor.org/packages/IdeoViz/")
3211 (synopsis "Plots data along a chromosomal ideogram")
3212 (description "This package provides functions to plot data associated with
3213 arbitrary genomic intervals along chromosomal ideogram.")
3214 (license license:gpl2)))
3215
3216 (define-public r-infercnv
3217 (package
3218 (name "r-infercnv")
3219 (version "1.12.0")
3220 (source
3221 (origin
3222 (method url-fetch)
3223 (uri (bioconductor-uri "infercnv" version))
3224 (sha256
3225 (base32
3226 "01f021fdxm058733rky46dlvqg7dmf5mn5x9lnq0fspp5665w3bl"))))
3227 (properties `((upstream-name . "infercnv")))
3228 (build-system r-build-system)
3229 (inputs (list python))
3230 (propagated-inputs
3231 (list r-ape
3232 r-argparse
3233 r-biocgenerics
3234 r-catools
3235 r-coda
3236 r-coin
3237 r-digest
3238 r-doparallel
3239 r-dplyr
3240 r-edger
3241 r-fastcluster
3242 r-fitdistrplus
3243 r-foreach
3244 r-futile-logger
3245 r-future
3246 r-ggplot2
3247 r-gplots
3248 r-gridextra
3249 r-hiddenmarkov
3250 r-leiden
3251 r-matrix
3252 r-paralleldist
3253 r-phyclust
3254 r-rann
3255 r-rcolorbrewer
3256 r-reshape
3257 r-rjags
3258 r-singlecellexperiment
3259 r-summarizedexperiment
3260 r-tidyr))
3261 (native-inputs (list r-knitr))
3262 (home-page "https://github.com/broadinstitute/inferCNV/wiki")
3263 (synopsis "Infer copy number variation from single-cell RNA-Seq data")
3264 (description
3265 "@code{InferCNV} is used to explore tumor single cell RNA-Seq data to identify
3266 evidence for somatic large-scale chromosomal copy number alterations, such as gains
3267 or deletions of entire chromosomes or large segments of chromosomes. This is done
3268 by exploring expression intensity of genes across positions of a tumor genome in
3269 comparison to a set of reference \"normal\" cells. A heatmap is generated
3270 illustrating the relative expression intensities across each chromosome, and it
3271 often becomes readily apparent as to which regions of the tumor genome are
3272 over-abundant or less-abundant as compared to that of normal cells.")
3273 (license license:bsd-3)))
3274
3275 (define-public r-iranges
3276 (package
3277 (name "r-iranges")
3278 (version "2.30.1")
3279 (source (origin
3280 (method url-fetch)
3281 (uri (bioconductor-uri "IRanges" version))
3282 (sha256
3283 (base32
3284 "1r01c9lczkchgd9hbxxd6wrd5avhy52mfqjck7l9avjq1jimvzv3"))))
3285 (properties
3286 `((upstream-name . "IRanges")))
3287 (build-system r-build-system)
3288 (propagated-inputs
3289 (list r-biocgenerics r-s4vectors))
3290 (home-page "https://bioconductor.org/packages/IRanges")
3291 (synopsis "Infrastructure for manipulating intervals on sequences")
3292 (description
3293 "This package provides efficient low-level and highly reusable S4 classes
3294 for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more
3295 generally, data that can be organized sequentially (formally defined as
3296 @code{Vector} objects), as well as views on these @code{Vector} objects.
3297 Efficient list-like classes are also provided for storing big collections of
3298 instances of the basic classes. All classes in the package use consistent
3299 naming and share the same rich and consistent \"Vector API\" as much as
3300 possible.")
3301 (license license:artistic2.0)))
3302
3303 (define-public r-isoformswitchanalyzer
3304 (package
3305 (name "r-isoformswitchanalyzer")
3306 (version "1.18.0")
3307 (source
3308 (origin
3309 (method url-fetch)
3310 (uri (bioconductor-uri "IsoformSwitchAnalyzeR" version))
3311 (sha256
3312 (base32 "0n1gb9azxa1mxpsqvw3i3kf72f45nyjj1kgwwrzhd88n3g63lvkd"))))
3313 (properties `((upstream-name . "IsoformSwitchAnalyzeR")))
3314 (build-system r-build-system)
3315 (propagated-inputs
3316 (list r-biobase
3317 r-biocgenerics
3318 r-biostrings
3319 r-bsgenome
3320 r-dbi
3321 r-dexseq
3322 r-dplyr
3323 r-drimseq
3324 r-edger
3325 r-futile-logger
3326 r-genomeinfodb
3327 r-genomicranges
3328 r-ggplot2
3329 r-gridextra
3330 r-iranges
3331 r-limma
3332 r-magrittr
3333 r-plyr
3334 r-rcolorbrewer
3335 r-rcurl
3336 r-readr
3337 r-reshape2
3338 r-rtracklayer
3339 r-stringr
3340 r-tibble
3341 r-tximeta
3342 r-tximport
3343 r-venndiagram
3344 r-xvector))
3345 (native-inputs
3346 (list r-knitr))
3347 (home-page "https://bioconductor.org/packages/IsoformSwitchAnalyzeR/")
3348 (synopsis "Analyze alternative splicing in RNA-seq data")
3349 (description
3350 "This is a package for the analysis of alternative splicing and isoform
3351 switches with predicted functional consequences (e.g. gain/loss of protein
3352 domains etc.) from quantification of all types of RNASeq by tools such as
3353 Kallisto, Salmon, StringTie, Cufflinks/Cuffdiff etc.")
3354 (license license:gpl2+)))
3355
3356 ;; This is a CRAN package, but it depends on r-biobase and r-limma from Bioconductor.
3357 (define-public r-absfiltergsea
3358 (package
3359 (name "r-absfiltergsea")
3360 (version "1.5.1")
3361 (source
3362 (origin
3363 (method url-fetch)
3364 (uri (cran-uri "AbsFilterGSEA" version))
3365 (sha256
3366 (base32 "15srxkxsvn38kd5frdrwfdf0ad8gskrd0h01wmdf9hglq8fjrp7w"))))
3367 (properties `((upstream-name . "AbsFilterGSEA")))
3368 (build-system r-build-system)
3369 (propagated-inputs
3370 (list r-biobase r-deseq r-limma r-rcpp r-rcpparmadillo))
3371 (home-page "https://cran.r-project.org/web/packages/AbsFilterGSEA/")
3372 (synopsis "Improved false positive control of gene-permuting with absolute filtering")
3373 (description
3374 "This package provides a function that performs gene-permuting of a gene-set
3375 enrichment analysis (GSEA) calculation with or without the absolute filtering.
3376 Without filtering, users can perform (original) two-tailed or one-tailed
3377 absolute GSEA.")
3378 (license license:gpl2)))
3379
3380 ;; This is a CRAN package, but it depends on r-biobase from Bioconductor.
3381 (define-public r-bisquerna
3382 (package
3383 (name "r-bisquerna")
3384 (version "1.0.5")
3385 (source (origin
3386 (method url-fetch)
3387 (uri (cran-uri "BisqueRNA" version))
3388 (sha256
3389 (base32
3390 "0p3p5lp69gri7vs6qfpm7br4ksbs4l7clm4nj8ki99wpqiqni23n"))))
3391 (properties `((upstream-name . "BisqueRNA")))
3392 (build-system r-build-system)
3393 (propagated-inputs
3394 (list r-biobase r-limsolve))
3395 (native-inputs
3396 (list r-knitr))
3397 (home-page "https://www.biorxiv.org/content/10.1101/669911v1")
3398 (synopsis "Decomposition of bulk expression with single-cell sequencing")
3399 (description "This package provides tools to accurately estimate cell type
3400 abundances from heterogeneous bulk expression. A reference-based method
3401 utilizes single-cell information to generate a signature matrix and
3402 transformation of bulk expression for accurate regression based estimates.
3403 A marker-based method utilizes known cell-specific marker genes to measure
3404 relative abundances across samples.")
3405 (license license:gpl3)))
3406
3407 ;; This is a CRAN package, but it depends on r-bsgenome-hsapiens-ucsc-hg19
3408 ;; from Bioconductor.
3409 (define-public r-deconstructsigs
3410 (package
3411 (name "r-deconstructsigs")
3412 (version "1.8.0")
3413 (source (origin
3414 (method url-fetch)
3415 (uri (cran-uri "deconstructSigs" version))
3416 (sha256
3417 (base32
3418 "014x0nb23jb98666kaav2phkvmkr38pi38jv0dqd4jv7zp0gdf1a"))))
3419 (properties
3420 `((upstream-name . "deconstructSigs")))
3421 (build-system r-build-system)
3422 (propagated-inputs
3423 (list r-bsgenome r-bsgenome-hsapiens-ucsc-hg19 r-genomeinfodb
3424 r-reshape2))
3425 (home-page "https://github.com/raerose01/deconstructSigs")
3426 (synopsis "Identifies signatures present in a tumor sample")
3427 (description "This package takes sample information in the form of the
3428 fraction of mutations in each of 96 trinucleotide contexts and identifies
3429 the weighted combination of published signatures that, when summed, most
3430 closely reconstructs the mutational profile.")
3431 (license license:gpl2+)))
3432
3433 ;; This is a CRAN package, but it depends on Bioconductor packages.
3434 (define-public r-jetset
3435 (package
3436 (name "r-jetset")
3437 (version "3.4.0")
3438 (source
3439 (origin
3440 (method url-fetch)
3441 (uri (cran-uri "jetset" version))
3442 (sha256
3443 (base32 "0c99h5npsv2gf5d59s4qhkaqmjhbwa3prcykk24wzhnpfq6y6xhp"))))
3444 (properties `((upstream-name . "jetset")))
3445 (build-system r-build-system)
3446 (propagated-inputs (list r-annotationdbi r-org-hs-eg-db))
3447 (home-page "http://www.cbs.dtu.dk/biotools/jetset/")
3448 (synopsis "One-to-one gene-probeset mapping for Affymetrix human microarrays")
3449 (description
3450 "This package provides a one-to-one mapping from gene to \"best\" probe
3451 set for four Affymetrix human gene expression microarrays: hgu95av2, hgu133a,
3452 hgu133plus2, and u133x3p. On Affymetrix gene expression microarrays, a single
3453 gene may be measured by multiple probe sets. This can present a mild
3454 conundrum when attempting to evaluate a gene \"signature\" that is defined by
3455 gene names rather than by specific probe sets. This package also includes the
3456 pre-calculated probe set quality scores that were used to define the
3457 mapping.")
3458 (license license:artistic2.0)))
3459
3460 ;; This is a CRAN package, but it depends on Bioconductor packages.
3461 (define-public r-nmf
3462 (package
3463 (name "r-nmf")
3464 (version "0.24.0")
3465 (source
3466 (origin
3467 (method url-fetch)
3468 (uri (cran-uri "NMF" version))
3469 (sha256
3470 (base32
3471 "14yxra6in5c1md5nr75y8cdmh9pg0lxqabqflvlhgg1vbg9i2628"))))
3472 (properties `((upstream-name . "NMF")))
3473 (build-system r-build-system)
3474 (propagated-inputs
3475 (list r-cluster
3476 r-biobase
3477 r-biocmanager
3478 r-bigmemory ; suggested
3479 r-synchronicity ; suggested
3480 r-colorspace
3481 r-digest
3482 r-doparallel
3483 r-foreach
3484 r-ggplot2
3485 r-gridbase
3486 r-pkgmaker
3487 r-rcolorbrewer
3488 r-registry
3489 r-reshape2
3490 r-rngtools
3491 r-stringr))
3492 (native-inputs
3493 (list r-knitr))
3494 (home-page "http://renozao.github.io/NMF")
3495 (synopsis "Algorithms and framework for nonnegative matrix factorization")
3496 (description
3497 "This package provides a framework to perform Non-negative Matrix
3498 Factorization (NMF). The package implements a set of already published
3499 algorithms and seeding methods, and provides a framework to test, develop and
3500 plug new or custom algorithms. Most of the built-in algorithms have been
3501 optimized in C++, and the main interface function provides an easy way of
3502 performing parallel computations on multicore machines.")
3503 (license license:gpl2+)))
3504
3505 (define-public r-affy
3506 (package
3507 (name "r-affy")
3508 (version "1.74.0")
3509 (source
3510 (origin
3511 (method url-fetch)
3512 (uri (bioconductor-uri "affy" version))
3513 (sha256
3514 (base32
3515 "02l77y4d4m4jwgkb3jdaskv6shmba5292whp0i29mg9asxv4rdc7"))))
3516 (build-system r-build-system)
3517 (propagated-inputs
3518 (list r-affyio
3519 r-biobase
3520 r-biocgenerics
3521 r-biocmanager
3522 r-preprocesscore
3523 r-zlibbioc))
3524 (inputs
3525 (list zlib))
3526 (home-page "https://bioconductor.org/packages/affy")
3527 (synopsis "Methods for affymetrix oligonucleotide arrays")
3528 (description
3529 "This package contains functions for exploratory oligonucleotide array
3530 analysis.")
3531 (license license:lgpl2.0+)))
3532
3533 (define-public r-affycomp
3534 (package
3535 (name "r-affycomp")
3536 (version "1.72.0")
3537 (source
3538 (origin
3539 (method url-fetch)
3540 (uri (bioconductor-uri "affycomp" version))
3541 (sha256
3542 (base32
3543 "0aq5p56sqpvba0yhgd75302s9bazchh1izgymng6cpb78y5wfpj0"))))
3544 (properties `((upstream-name . "affycomp")))
3545 (build-system r-build-system)
3546 (propagated-inputs (list r-biobase))
3547 (home-page "https://bioconductor.org/packages/affycomp/")
3548 (synopsis "Graphics toolbox for assessment of Affymetrix expression measures")
3549 (description
3550 "The package contains functions that can be used to compare expression
3551 measures for Affymetrix Oligonucleotide Arrays.")
3552 (license license:gpl2+)))
3553
3554 (define-public r-affycompatible
3555 (package
3556 (name "r-affycompatible")
3557 (version "1.56.0")
3558 (source
3559 (origin
3560 (method url-fetch)
3561 (uri (bioconductor-uri "AffyCompatible" version))
3562 (sha256
3563 (base32
3564 "0x3lj1jgqq67389rzfklah5p878ns9b4fpdpz455m2gq9sk7qsda"))))
3565 (properties
3566 `((upstream-name . "AffyCompatible")))
3567 (build-system r-build-system)
3568 (arguments
3569 (list
3570 #:phases
3571 `(modify-phases %standard-phases
3572 (add-after 'unpack 'make-reproducible
3573 (lambda _
3574 ;; Order DTD elements before generating R code from them.
3575 (substitute* "R/methods-AffyCompatible.R"
3576 (("dtd <- .*" m)
3577 (string-append m "
3578 elements <- dtd$elements
3579 ordered <- elements[order(names(elements))]\n"))
3580 (("elt in dtd\\$elements")
3581 "elt in ordered"))
3582 ;; Use a predictable directory name for code generation.
3583 (mkdir-p "/tmp/NetAffxResourcePrototype")
3584 (substitute* "R/DataClasses.R"
3585 (("directory=tempdir\\(\\)")
3586 "directory=\"/tmp/NetAffxResourcePrototype\"")))))))
3587 (propagated-inputs
3588 (list r-biostrings r-rcurl r-xml))
3589 (home-page "https://bioconductor.org/packages/AffyCompatible/")
3590 (synopsis "Work with Affymetrix GeneChip files")
3591 (description
3592 "This package provides an interface to Affymetrix chip annotation and
3593 sample attribute files. The package allows an easy way for users to download
3594 and manage local data bases of Affynmetrix NetAffx annotation files. It also
3595 provides access to @dfn{GeneChip Operating System} (GCOS) and @dfn{GeneChip
3596 Command Console} (AGCC)-compatible sample annotation files.")
3597 (license license:artistic2.0)))
3598
3599 (define-public r-affycontam
3600 (package
3601 (name "r-affycontam")
3602 (version "1.54.0")
3603 (source
3604 (origin
3605 (method url-fetch)
3606 (uri (bioconductor-uri "affyContam" version))
3607 (sha256
3608 (base32
3609 "1pyd4rj6pp139kvhh97whi4afvx029w5lglr4mnscw7m3f618v0p"))))
3610 (properties `((upstream-name . "affyContam")))
3611 (build-system r-build-system)
3612 (propagated-inputs
3613 (list r-affy r-affydata r-biobase))
3614 (home-page "https://bioconductor.org/packages/affyContam/")
3615 (synopsis "Structured corruption of Affymetrix CEL file data")
3616 (description
3617 "Microarray quality assessment is a major concern of microarray analysts.
3618 This package provides some simple approaches to in silico creation of quality
3619 problems in CEL-level data to help evaluate performance of quality metrics.")
3620 (license license:artistic2.0)))
3621
3622 (define-public r-affycoretools
3623 (package
3624 (name "r-affycoretools")
3625 (version "1.68.1")
3626 (source
3627 (origin
3628 (method url-fetch)
3629 (uri (bioconductor-uri "affycoretools" version))
3630 (sha256
3631 (base32
3632 "05x64hy5jpmg973biwq4q9gzy1n0iqc0pxrix1f6bri1w6vil3ww"))))
3633 (properties `((upstream-name . "affycoretools")))
3634 (build-system r-build-system)
3635 (propagated-inputs
3636 (list r-affy
3637 r-annotationdbi
3638 r-biobase
3639 r-biocgenerics
3640 r-dbi
3641 r-edger
3642 r-gcrma
3643 r-glimma
3644 r-ggplot2
3645 r-gostats
3646 r-gplots
3647 r-hwriter
3648 r-lattice
3649 r-limma
3650 r-oligoclasses
3651 r-reportingtools
3652 r-rsqlite
3653 r-s4vectors
3654 r-xtable))
3655 (native-inputs
3656 (list r-knitr))
3657 (home-page "https://bioconductor.org/packages/affycoretools/")
3658 (synopsis "Functions for analyses with Affymetrix GeneChips")
3659 (description
3660 "This package provides various wrapper functions that have been written
3661 to streamline the more common analyses that a Biostatistician might see.")
3662 (license license:artistic2.0)))
3663
3664 (define-public r-affyio
3665 (package
3666 (name "r-affyio")
3667 (version "1.66.0")
3668 (source
3669 (origin
3670 (method url-fetch)
3671 (uri (bioconductor-uri "affyio" version))
3672 (sha256
3673 (base32
3674 "19cw82qvzkz6vh2gm302y7digsf6xif7c9l2q9s6lkx2yflqpgfp"))))
3675 (build-system r-build-system)
3676 (propagated-inputs
3677 (list r-zlibbioc))
3678 (inputs
3679 (list zlib))
3680 (home-page "https://github.com/bmbolstad/affyio")
3681 (synopsis "Tools for parsing Affymetrix data files")
3682 (description
3683 "This package provides routines for parsing Affymetrix data files based
3684 upon file format information. The primary focus is on accessing the CEL and
3685 CDF file formats.")
3686 (license license:lgpl2.0+)))
3687
3688 (define-public r-affxparser
3689 (package
3690 (name "r-affxparser")
3691 (version "1.68.1")
3692 (source
3693 (origin
3694 (method url-fetch)
3695 (uri (bioconductor-uri "affxparser" version))
3696 (sha256
3697 (base32
3698 "16x92gwsy7zdyz4md4cw847xn2ymqd6gqsn0rlr2nnf3qmnjnils"))))
3699 (properties `((upstream-name . "affxparser")))
3700 (build-system r-build-system)
3701 (home-page "https://github.com/HenrikBengtsson/affxparser")
3702 (synopsis "Affymetrix File Parsing SDK")
3703 (description
3704 "This is a package for parsing Affymetrix files (CDF, CEL, CHP, BPMAP,
3705 BAR). It provides methods for fast and memory efficient parsing of Affymetrix
3706 files using the Affymetrix' Fusion SDK. Both ASCII- and binary-based files
3707 are supported. Currently, there are methods for reading @dfn{chip definition
3708 file} (CDF) and a @dfn{cell intensity file} (CEL). These files can be read
3709 either in full or in part. For example, probe signals from a few probesets
3710 can be extracted very quickly from a set of CEL files into a convenient list
3711 structure.")
3712 ;; The Fusion SDK contains files under GPLv2 and LGPLv2.1. The R code is
3713 ;; under LGPLv2+.
3714 (license (list license:lgpl2.0+ license:lgpl2.1 license:gpl2))))
3715
3716 (define-public r-annotate
3717 (package
3718 (name "r-annotate")
3719 (version "1.74.0")
3720 (source
3721 (origin
3722 (method url-fetch)
3723 (uri (bioconductor-uri "annotate" version))
3724 (sha256
3725 (base32
3726 "0x6vddpiw2g713vicf70198x8dlrwf36p8jjygdsfnl56ls5bh2g"))))
3727 (build-system r-build-system)
3728 (propagated-inputs
3729 (list r-annotationdbi
3730 r-biobase
3731 r-biocgenerics
3732 r-dbi
3733 r-httr
3734 r-xml
3735 r-xtable))
3736 (home-page
3737 "https://bioconductor.org/packages/annotate")
3738 (synopsis "Annotation for microarrays")
3739 (description "This package provides R environments for the annotation of
3740 microarrays.")
3741 (license license:artistic2.0)))
3742
3743 (define-public r-annotationdbi
3744 (package
3745 (name "r-annotationdbi")
3746 (version "1.58.0")
3747 (source (origin
3748 (method url-fetch)
3749 (uri (bioconductor-uri "AnnotationDbi" version))
3750 (sha256
3751 (base32
3752 "15cwy7lic89jwl3dr7j4pb5bx457jdpvzvylr71624s0p0j9rgwn"))))
3753 (properties
3754 `((upstream-name . "AnnotationDbi")))
3755 (build-system r-build-system)
3756 (propagated-inputs
3757 (list r-biobase
3758 r-biocgenerics
3759 r-dbi
3760 r-keggrest
3761 r-iranges
3762 r-rsqlite
3763 r-s4vectors))
3764 (native-inputs
3765 (list r-knitr))
3766 (home-page "https://bioconductor.org/packages/AnnotationDbi")
3767 (synopsis "Annotation database interface")
3768 (description
3769 "This package provides user interface and database connection code for
3770 annotation data packages using SQLite data storage.")
3771 (license license:artistic2.0)))
3772
3773 (define-public r-annotationfilter
3774 (package
3775 (name "r-annotationfilter")
3776 (version "1.20.0")
3777 (source (origin
3778 (method url-fetch)
3779 (uri (bioconductor-uri "AnnotationFilter" version))
3780 (sha256
3781 (base32
3782 "082lpcd6yr2nkxndlck2wqqd3nfdx7lnpw8barxgv41q4l7v4ald"))))
3783 (properties
3784 `((upstream-name . "AnnotationFilter")))
3785 (build-system r-build-system)
3786 (propagated-inputs
3787 (list r-genomicranges r-lazyeval))
3788 (native-inputs
3789 (list r-knitr))
3790 (home-page "https://github.com/Bioconductor/AnnotationFilter")
3791 (synopsis "Facilities for filtering Bioconductor annotation resources")
3792 (description
3793 "This package provides classes and other infrastructure to implement
3794 filters for manipulating Bioconductor annotation resources. The filters are
3795 used by @code{ensembldb}, @code{Organism.dplyr}, and other packages.")
3796 (license license:artistic2.0)))
3797
3798 (define-public r-annotationforge
3799 (package
3800 (name "r-annotationforge")
3801 (version "1.38.1")
3802 (source
3803 (origin
3804 (method url-fetch)
3805 (uri (bioconductor-uri "AnnotationForge" version))
3806 (sha256
3807 (base32
3808 "0lcr79a3570h7zg4z691gxg2vlyqnars5811q0clzinbmq7b4x3v"))))
3809 (properties
3810 `((upstream-name . "AnnotationForge")))
3811 (build-system r-build-system)
3812 (propagated-inputs
3813 (list r-annotationdbi
3814 r-biobase
3815 r-biocgenerics
3816 r-dbi
3817 r-rcurl
3818 r-rsqlite
3819 r-s4vectors
3820 r-xml))
3821 (native-inputs
3822 (list r-knitr))
3823 (home-page "https://bioconductor.org/packages/AnnotationForge")
3824 (synopsis "Code for building annotation database packages")
3825 (description
3826 "This package provides code for generating Annotation packages and their
3827 databases. Packages produced are intended to be used with AnnotationDbi.")
3828 (license license:artistic2.0)))
3829
3830 (define-public r-annotationhub
3831 (package
3832 (name "r-annotationhub")
3833 (version "3.4.0")
3834 (source
3835 (origin
3836 (method url-fetch)
3837 (uri (bioconductor-uri "AnnotationHub" version))
3838 (sha256
3839 (base32
3840 "03dmbx43rsv9xv94lk12gpraq47ryc13jijwma3q05hl9wn8xjxs"))))
3841 (properties `((upstream-name . "AnnotationHub")))
3842 (build-system r-build-system)
3843 (propagated-inputs
3844 (list r-annotationdbi
3845 r-biocfilecache
3846 r-biocgenerics
3847 r-biocmanager
3848 r-biocversion
3849 r-curl
3850 r-dplyr
3851 r-httr
3852 r-interactivedisplaybase
3853 r-rappdirs
3854 r-rsqlite
3855 r-s4vectors
3856 r-yaml))
3857 (native-inputs
3858 (list r-knitr))
3859 (home-page "https://bioconductor.org/packages/AnnotationHub")
3860 (synopsis "Client to access AnnotationHub resources")
3861 (description
3862 "This package provides a client for the Bioconductor AnnotationHub web
3863 resource. The AnnotationHub web resource provides a central location where
3864 genomic files (e.g. VCF, bed, wig) and other resources from standard
3865 locations (e.g. UCSC, Ensembl) can be discovered. The resource includes
3866 metadata about each resource, e.g., a textual description, tags, and date of
3867 modification. The client creates and manages a local cache of files retrieved
3868 by the user, helping with quick and reproducible access.")
3869 (license license:artistic2.0)))
3870
3871 (define-public r-aroma-light
3872 (package
3873 (name "r-aroma-light")
3874 (version "3.26.0")
3875 (source
3876 (origin
3877 (method url-fetch)
3878 (uri (bioconductor-uri "aroma.light" version))
3879 (sha256
3880 (base32
3881 "1240v9wvsf205g998ms19hncki8g6shidg09dy5np9pqpiix4vys"))))
3882 (properties `((upstream-name . "aroma.light")))
3883 (build-system r-build-system)
3884 (propagated-inputs
3885 (list r-matrixstats r-r-methodss3 r-r-oo r-r-utils))
3886 (home-page "https://github.com/HenrikBengtsson/aroma.light")
3887 (synopsis "Methods for normalization and visualization of microarray data")
3888 (description
3889 "This package provides methods for microarray analysis that take basic
3890 data types such as matrices and lists of vectors. These methods can be used
3891 standalone, be utilized in other packages, or be wrapped up in higher-level
3892 classes.")
3893 (license license:gpl2+)))
3894
3895 (define-public r-bamsignals
3896 (package
3897 (name "r-bamsignals")
3898 (version "1.28.0")
3899 (source
3900 (origin
3901 (method url-fetch)
3902 (uri (bioconductor-uri "bamsignals" version))
3903 (sha256
3904 (base32
3905 "0ywbxq829hclhr5bb6p77rspxvfs580zlwd2f5kr3an6rdgyx9ky"))))
3906 (build-system r-build-system)
3907 (propagated-inputs
3908 (list r-biocgenerics
3909 r-genomicranges
3910 r-iranges
3911 r-rcpp
3912 r-rhtslib
3913 r-zlibbioc))
3914 (native-inputs
3915 (list r-knitr))
3916 (home-page "https://bioconductor.org/packages/bamsignals")
3917 (synopsis "Extract read count signals from bam files")
3918 (description
3919 "This package efficiently obtains count vectors from indexed bam
3920 files. It counts the number of nucleotide sequence reads in given genomic
3921 ranges and it computes reads profiles and coverage profiles. It also handles
3922 paired-end data.")
3923 (license license:gpl2+)))
3924
3925 (define-public r-biobase
3926 (package
3927 (name "r-biobase")
3928 (version "2.56.0")
3929 (source (origin
3930 (method url-fetch)
3931 (uri (bioconductor-uri "Biobase" version))
3932 (sha256
3933 (base32
3934 "1mnxky78an079p60427cjvk4fzilp0xzy6b85fq274qvdcrz8jbv"))))
3935 (properties
3936 `((upstream-name . "Biobase")))
3937 (build-system r-build-system)
3938 (propagated-inputs
3939 (list r-biocgenerics))
3940 (home-page "https://bioconductor.org/packages/Biobase")
3941 (synopsis "Base functions for Bioconductor")
3942 (description
3943 "This package provides functions that are needed by many other packages
3944 on Bioconductor or which replace R functions.")
3945 (license license:artistic2.0)))
3946
3947 (define-public r-biomart
3948 (package
3949 (name "r-biomart")
3950 (version "2.52.0")
3951 (source (origin
3952 (method url-fetch)
3953 (uri (bioconductor-uri "biomaRt" version))
3954 (sha256
3955 (base32
3956 "0yn3kanyrplc89a900xiz33nw1v23mkljvd5isizgs8gzvwzf8xg"))))
3957 (properties
3958 `((upstream-name . "biomaRt")))
3959 (build-system r-build-system)
3960 (propagated-inputs
3961 (list r-annotationdbi
3962 r-biocfilecache
3963 r-digest
3964 r-httr
3965 r-progress
3966 r-rappdirs
3967 r-stringr
3968 r-xml
3969 r-xml2))
3970 (native-inputs
3971 (list r-knitr))
3972 (home-page "https://bioconductor.org/packages/biomaRt")
3973 (synopsis "Interface to BioMart databases")
3974 (description
3975 "biomaRt provides an interface to a growing collection of databases
3976 implementing the @url{BioMart software suite, http://www.biomart.org}. The
3977 package enables retrieval of large amounts of data in a uniform way without
3978 the need to know the underlying database schemas or write complex SQL queries.
3979 Examples of BioMart databases are Ensembl, COSMIC, Uniprot, HGNC, Gramene,
3980 Wormbase and dbSNP mapped to Ensembl. These major databases give biomaRt
3981 users direct access to a diverse set of data and enable a wide range of
3982 powerful online queries from gene annotation to database mining.")
3983 (license license:artistic2.0)))
3984
3985 ;; This is a CRAN package, but it depends on a Bioconductor package:
3986 ;; r-biomart
3987 (define-public r-biomartr
3988 (package
3989 (name "r-biomartr")
3990 (version "1.0.2")
3991 (source (origin
3992 (method url-fetch)
3993 (uri (cran-uri "biomartr" version))
3994 (sha256
3995 (base32
3996 "0hr7wks88lbfcqzjzm4x265dk4lpmc3i2ndp7xcrx8ssj76wrmkz"))))
3997 (properties `((upstream-name . "biomartr")))
3998 (build-system r-build-system)
3999 (propagated-inputs
4000 (list r-biomart
4001 r-biostrings
4002 r-curl
4003 r-data-table
4004 r-downloader
4005 r-dplyr
4006 r-fs
4007 r-httr
4008 r-jsonlite
4009 r-philentropy
4010 r-purrr
4011 r-r-utils
4012 r-rcurl
4013 r-readr
4014 r-stringr
4015 r-tibble
4016 r-withr
4017 r-xml))
4018 (native-inputs (list r-knitr))
4019 (home-page "https://docs.ropensci.org/biomartr/")
4020 (synopsis "Genomic data retrieval")
4021 (description
4022 "Perform large scale genomic data retrieval and functional annotation
4023 retrieval. This package aims to provide users with a standardized way to
4024 automate genome, proteome, RNA, coding sequence (CDS), GFF, and metagenome
4025 retrieval from NCBI RefSeq, NCBI Genbank, ENSEMBL, and UniProt databases.
4026 Furthermore, an interface to the BioMart database allows users to retrieve
4027 functional annotation for genomic loci. In addition, users can download
4028 entire databases such as NCBI RefSeq, NCBI nr, NCBI nt, NCBI Genbank, etc with
4029 only one command.")
4030 (license license:gpl2)))
4031
4032 (define-public r-biocparallel
4033 (package
4034 (name "r-biocparallel")
4035 (version "1.30.3")
4036 (source (origin
4037 (method url-fetch)
4038 (uri (bioconductor-uri "BiocParallel" version))
4039 (sha256
4040 (base32
4041 "1rs3wmasl9mx7f399iclvm0bnvggvjj2a88zbi294r5m8wxqlc92"))))
4042 (properties
4043 `((upstream-name . "BiocParallel")))
4044 (build-system r-build-system)
4045 (arguments
4046 `(#:phases
4047 (modify-phases %standard-phases
4048 (add-after 'unpack 'make-reproducible
4049 (lambda _
4050 ;; Remove generated documentation.
4051 (for-each delete-file
4052 '("inst/doc/BiocParallel_BatchtoolsParam.pdf"
4053 "inst/doc/Introduction_To_BiocParallel.pdf"
4054 "inst/doc/Errors_Logs_And_Debugging.pdf"
4055 "inst/doc/BiocParallel_BatchtoolsParam.R"
4056 "inst/doc/Introduction_To_BiocParallel.R"
4057 "inst/doc/Errors_Logs_And_Debugging.R"))
4058
4059 ;; Remove time-dependent macro
4060 (substitute* '("inst/doc/BiocParallel_BatchtoolsParam.Rnw"
4061 "inst/doc/Introduction_To_BiocParallel.Rnw"
4062 "inst/doc/Errors_Logs_And_Debugging.Rnw"
4063 "vignettes/BiocParallel_BatchtoolsParam.Rnw"
4064 "vignettes/Introduction_To_BiocParallel.Rnw"
4065 "vignettes/Errors_Logs_And_Debugging.Rnw")
4066 (("\\today") "later"))
4067
4068 ;; Initialize the random number generator seed when building.
4069 (substitute* "R/rng.R"
4070 (("\"L'Ecuyer-CMRG\"\\)" m)
4071 (string-append
4072 m "; if (!is.na(Sys.getenv(\"SOURCE_DATE_EPOCH\"))) {set.seed(100)}\n"))))))))
4073 (propagated-inputs
4074 (list r-bh r-codetools r-futile-logger r-snow))
4075 (native-inputs
4076 (list r-knitr))
4077 (home-page "https://bioconductor.org/packages/BiocParallel")
4078 (synopsis "Bioconductor facilities for parallel evaluation")
4079 (description
4080 "This package provides modified versions and novel implementation of
4081 functions for parallel evaluation, tailored to use with Bioconductor
4082 objects.")
4083 (license (list license:gpl2+ license:gpl3+))))
4084
4085 (define-public r-biostrings
4086 (package
4087 (name "r-biostrings")
4088 (version "2.64.1")
4089 (source (origin
4090 (method url-fetch)
4091 (uri (bioconductor-uri "Biostrings" version))
4092 (sha256
4093 (base32
4094 "1wk8nlmp6f6fsjrcb4fb48s3ay38yywwad748i6lfkkcw2pdfw33"))))
4095 (properties
4096 `((upstream-name . "Biostrings")))
4097 (build-system r-build-system)
4098 (propagated-inputs
4099 (list r-biocgenerics
4100 r-crayon
4101 r-genomeinfodb
4102 r-iranges
4103 r-s4vectors
4104 r-xvector))
4105 (home-page "https://bioconductor.org/packages/Biostrings")
4106 (synopsis "String objects and algorithms for biological sequences")
4107 (description
4108 "This package provides memory efficient string containers, string
4109 matching algorithms, and other utilities, for fast manipulation of large
4110 biological sequences or sets of sequences.")
4111 (license license:artistic2.0)))
4112
4113 (define-public r-biovizbase
4114 (package
4115 (name "r-biovizbase")
4116 (version "1.44.0")
4117 (source
4118 (origin
4119 (method url-fetch)
4120 (uri (bioconductor-uri "biovizBase" version))
4121 (sha256
4122 (base32
4123 "1ffzf7yvl47l8v8a50m8g9q33hgwvxg4fcm8ld2yy8hd2zl86zyd"))))
4124 (properties `((upstream-name . "biovizBase")))
4125 (build-system r-build-system)
4126 (propagated-inputs
4127 (list r-annotationdbi
4128 r-annotationfilter
4129 r-biocgenerics
4130 r-biostrings
4131 r-dichromat
4132 r-ensembldb
4133 r-genomeinfodb
4134 r-genomicalignments
4135 r-genomicfeatures
4136 r-genomicranges
4137 r-hmisc
4138 r-iranges
4139 r-rcolorbrewer
4140 r-rlang
4141 r-rsamtools
4142 r-s4vectors
4143 r-scales
4144 r-summarizedexperiment
4145 r-variantannotation))
4146 (home-page "https://bioconductor.org/packages/biovizBase")
4147 (synopsis "Basic graphic utilities for visualization of genomic data")
4148 (description
4149 "The biovizBase package is designed to provide a set of utilities, color
4150 schemes and conventions for genomic data. It serves as the base for various
4151 high-level packages for biological data visualization. This saves development
4152 effort and encourages consistency.")
4153 (license license:artistic2.0)))
4154
4155 (define-public r-bsgenome
4156 (package
4157 (name "r-bsgenome")
4158 (version "1.64.0")
4159 (source (origin
4160 (method url-fetch)
4161 (uri (bioconductor-uri "BSgenome" version))
4162 (sha256
4163 (base32
4164 "17gqrmaf6xxghgrzcansl9gfw3ghkrqp87swlnwgyghqvflr5qxc"))))
4165 (properties
4166 `((upstream-name . "BSgenome")))
4167 (build-system r-build-system)
4168 (propagated-inputs
4169 (list r-biocgenerics
4170 r-biostrings
4171 r-genomeinfodb
4172 r-genomicranges
4173 r-iranges
4174 r-matrixstats
4175 r-rsamtools
4176 r-rtracklayer
4177 r-s4vectors
4178 r-xvector))
4179 (home-page "https://bioconductor.org/packages/BSgenome")
4180 (synopsis "Infrastructure for Biostrings-based genome data packages")
4181 (description
4182 "This package provides infrastructure shared by all Biostrings-based
4183 genome data packages and support for efficient SNP representation.")
4184 (license license:artistic2.0)))
4185
4186 (define-public r-category
4187 (package
4188 (name "r-category")
4189 (version "2.62.0")
4190 (source
4191 (origin
4192 (method url-fetch)
4193 (uri (bioconductor-uri "Category" version))
4194 (sha256
4195 (base32
4196 "07js03cfdd6gzbzw14iavlqxynfcqszh988v6k1a3h074wxiivqd"))))
4197 (properties `((upstream-name . "Category")))
4198 (build-system r-build-system)
4199 (propagated-inputs
4200 (list r-annotate
4201 r-annotationdbi
4202 r-biobase
4203 r-biocgenerics
4204 r-genefilter
4205 r-graph
4206 r-gseabase
4207 r-matrix
4208 r-rbgl
4209 r-dbi))
4210 (home-page "https://bioconductor.org/packages/Category")
4211 (synopsis "Category analysis")
4212 (description
4213 "This package provides a collection of tools for performing category
4214 analysis.")
4215 (license license:artistic2.0)))
4216
4217 (define-public r-chipseeker
4218 (package
4219 (name "r-chipseeker")
4220 (version "1.32.1")
4221 (source (origin
4222 (method url-fetch)
4223 (uri (bioconductor-uri "ChIPseeker" version))
4224 (sha256
4225 (base32
4226 "0l2514wvlc8q7n1zjzfrghdg372sp73z39204bkif3g6pdkcvbcf"))))
4227 (build-system r-build-system)
4228 (native-inputs
4229 (list r-knitr))
4230 (propagated-inputs
4231 (list r-annotationdbi
4232 r-biocgenerics
4233 r-boot
4234 r-enrichplot
4235 r-iranges
4236 r-genomeinfodb
4237 r-genomicranges
4238 r-genomicfeatures
4239 r-ggplot2
4240 r-ggvenndiagram
4241 r-gplots
4242 r-gtools
4243 r-dplyr
4244 r-plotrix
4245 r-dplyr
4246 r-magrittr
4247 r-rcolorbrewer
4248 r-rtracklayer
4249 r-s4vectors
4250 r-txdb-hsapiens-ucsc-hg19-knowngene))
4251 (home-page "https://www.bioconductor.org/packages/ChIPseeker/")
4252 (synopsis "ChIPseeker for ChIP peak annotation, comparison, and visualization")
4253 (description "This package implements functions to retrieve the nearest
4254 genes around the peak, annotate genomic region of the peak, statstical methods
4255 for estimate the significance of overlap among ChIP peak data sets, and
4256 incorporate GEO database for user to compare the own dataset with those
4257 deposited in database. The comparison can be used to infer cooperative
4258 regulation and thus can be used to generate hypotheses. Several visualization
4259 functions are implemented to summarize the coverage of the peak experiment,
4260 average profile and heatmap of peaks binding to TSS regions, genomic
4261 annotation, distance to TSS, and overlap of peaks or genes.")
4262 (license license:artistic2.0)))
4263
4264 (define-public r-chipseq
4265 (package
4266 (name "r-chipseq")
4267 (version "1.46.0")
4268 (source
4269 (origin
4270 (method url-fetch)
4271 (uri (bioconductor-uri "chipseq" version))
4272 (sha256
4273 (base32
4274 "1vh0hvgnw7ykj401v1q807sl14s4nixp1d8xbm41n01q6w8x834i"))))
4275 (build-system r-build-system)
4276 (propagated-inputs
4277 (list r-biocgenerics
4278 r-genomicranges
4279 r-iranges
4280 r-lattice
4281 r-s4vectors
4282 r-shortread))
4283 (home-page "https://bioconductor.org/packages/chipseq")
4284 (synopsis "Package for analyzing ChIPseq data")
4285 (description
4286 "This package provides tools for processing short read data from ChIPseq
4287 experiments.")
4288 (license license:artistic2.0)))
4289
4290 (define-public r-complexheatmap
4291 (package
4292 (name "r-complexheatmap")
4293 (version "2.12.1")
4294 (source
4295 (origin
4296 (method url-fetch)
4297 (uri (bioconductor-uri "ComplexHeatmap" version))
4298 (sha256
4299 (base32
4300 "0b4p3ijhdcydfp0j58xlb5dn7d3m2x420n91rl9diqpg4r2gl0s8"))))
4301 (properties
4302 `((upstream-name . "ComplexHeatmap")))
4303 (build-system r-build-system)
4304 (propagated-inputs
4305 (list r-circlize
4306 r-clue
4307 r-codetools
4308 r-colorspace
4309 r-digest
4310 r-doparallel
4311 r-foreach
4312 r-getoptlong
4313 r-globaloptions
4314 r-iranges
4315 r-matrixstats
4316 r-png
4317 r-rcolorbrewer))
4318 (native-inputs
4319 (list r-knitr))
4320 (home-page
4321 "https://github.com/jokergoo/ComplexHeatmap")
4322 (synopsis "Making Complex Heatmaps")
4323 (description
4324 "Complex heatmaps are efficient to visualize associations between
4325 different sources of data sets and reveal potential structures. This package
4326 provides a highly flexible way to arrange multiple heatmaps and supports
4327 self-defined annotation graphics.")
4328 (license license:gpl2+)))
4329
4330 (define-public r-copywriter
4331 (package
4332 (name "r-copywriter")
4333 (version "2.28.0")
4334 (source
4335 (origin
4336 (method url-fetch)
4337 (uri (bioconductor-uri "CopywriteR" version))
4338 (sha256
4339 (base32
4340 "1k11kvam96hpg71hz2n9cfzizmb7d1bmq5zfvm34s7fn09is60xb"))))
4341 (properties `((upstream-name . "CopywriteR")))
4342 (build-system r-build-system)
4343 (propagated-inputs
4344 (list r-biocparallel
4345 r-chipseq
4346 r-copyhelper
4347 r-data-table
4348 r-dnacopy
4349 r-futile-logger
4350 r-genomeinfodb
4351 r-genomicalignments
4352 r-genomicranges
4353 r-gtools
4354 r-iranges
4355 r-matrixstats
4356 r-rsamtools
4357 r-s4vectors))
4358 (home-page "https://github.com/PeeperLab/CopywriteR")
4359 (synopsis "Copy number information from targeted sequencing")
4360 (description
4361 "CopywriteR extracts DNA copy number information from targeted sequencing
4362 by utilizing off-target reads. It allows for extracting uniformly distributed
4363 copy number information, can be used without reference, and can be applied to
4364 sequencing data obtained from various techniques including chromatin
4365 immunoprecipitation and target enrichment on small gene panels. Thereby,
4366 CopywriteR constitutes a widely applicable alternative to available copy
4367 number detection tools.")
4368 (license license:gpl2)))
4369
4370 (define-public r-deseq
4371 (package
4372 (name "r-deseq")
4373 (version "1.39.0")
4374 (source
4375 (origin
4376 (method url-fetch)
4377 (uri (bioconductor-uri "DESeq" version))
4378 (sha256
4379 (base32
4380 "047hph5aqmjnz1aqprziw0smdn5lf96hmwpnvqrxv1j2yfvcf3h1"))))
4381 (properties `((upstream-name . "DESeq")))
4382 (build-system r-build-system)
4383 (propagated-inputs
4384 (list r-biobase
4385 r-biocgenerics
4386 r-genefilter
4387 r-geneplotter
4388 r-lattice
4389 r-locfit
4390 r-mass
4391 r-rcolorbrewer))
4392 (home-page "https://www-huber.embl.de/users/anders/DESeq/")
4393 (synopsis "Differential gene expression analysis")
4394 (description
4395 "This package provides tools for estimating variance-mean dependence in
4396 count data from high-throughput genetic sequencing assays and for testing for
4397 differential expression based on a model using the negative binomial
4398 distribution.")
4399 (license license:gpl3+)))
4400
4401 (define-public r-deseq2
4402 (package
4403 (name "r-deseq2")
4404 (version "1.36.0")
4405 (source
4406 (origin
4407 (method url-fetch)
4408 (uri (bioconductor-uri "DESeq2" version))
4409 (sha256
4410 (base32
4411 "06mvb0jqn2fg96wfwspv0kzpa8xpimzaldrcy8m2d4yk76xwsdr7"))))
4412 (properties `((upstream-name . "DESeq2")))
4413 (build-system r-build-system)
4414 (propagated-inputs
4415 (list r-biobase
4416 r-biocgenerics
4417 r-biocparallel
4418 r-genefilter
4419 r-geneplotter
4420 r-genomicranges
4421 r-ggplot2
4422 r-iranges
4423 r-locfit
4424 r-rcpp
4425 r-rcpparmadillo
4426 r-s4vectors
4427 r-summarizedexperiment))
4428 (native-inputs
4429 (list r-knitr))
4430 (home-page "https://bioconductor.org/packages/DESeq2")
4431 (synopsis "Differential gene expression analysis")
4432 (description
4433 "This package provides functions to estimate variance-mean dependence in
4434 count data from high-throughput nucleotide sequencing assays and test for
4435 differential expression based on a model using the negative binomial
4436 distribution.")
4437 (license license:lgpl3+)))
4438
4439 (define-public r-dexseq
4440 (package
4441 (name "r-dexseq")
4442 (version "1.42.0")
4443 (source
4444 (origin
4445 (method url-fetch)
4446 (uri (bioconductor-uri "DEXSeq" version))
4447 (sha256
4448 (base32
4449 "1dzx9mvm8pvcrwr88rin3flnpmzp3vq8mvspx9s8virqhv1102am"))))
4450 (properties `((upstream-name . "DEXSeq")))
4451 (build-system r-build-system)
4452 (propagated-inputs
4453 (list r-annotationdbi
4454 r-biobase
4455 r-biocgenerics
4456 r-biocparallel
4457 r-biomart
4458 r-deseq2
4459 r-genefilter
4460 r-geneplotter
4461 r-genomicranges
4462 r-hwriter
4463 r-iranges
4464 r-rcolorbrewer
4465 r-rsamtools
4466 r-s4vectors
4467 r-statmod
4468 r-stringr
4469 r-summarizedexperiment))
4470 (native-inputs
4471 (list r-knitr))
4472 (home-page "https://bioconductor.org/packages/DEXSeq")
4473 (synopsis "Inference of differential exon usage in RNA-Seq")
4474 (description
4475 "This package is focused on finding differential exon usage using RNA-seq
4476 exon counts between samples with different experimental designs. It provides
4477 functions that allows the user to make the necessary statistical tests based
4478 on a model that uses the negative binomial distribution to estimate the
4479 variance between biological replicates and generalized linear models for
4480 testing. The package also provides functions for the visualization and
4481 exploration of the results.")
4482 (license license:gpl3+)))
4483
4484 (define-public r-diffcyt
4485 (package
4486 (name "r-diffcyt")
4487 (version "1.16.0")
4488 (source
4489 (origin
4490 (method url-fetch)
4491 (uri (bioconductor-uri "diffcyt" version))
4492 (sha256
4493 (base32 "0mysylzmg24g7lm1xan4yklzqmskfgh53j6vjcz2gzakz5rq3rdb"))))
4494 (properties `((upstream-name . "diffcyt")))
4495 (build-system r-build-system)
4496 (propagated-inputs
4497 (list r-circlize
4498 r-complexheatmap
4499 r-dplyr
4500 r-edger
4501 r-flowcore
4502 r-flowsom
4503 r-limma
4504 r-lme4
4505 r-magrittr
4506 r-multcomp
4507 r-reshape2
4508 r-s4vectors
4509 r-summarizedexperiment
4510 r-tidyr))
4511 (native-inputs (list r-knitr))
4512 (home-page "https://github.com/lmweber/diffcyt")
4513 (synopsis "Differential discovery in high-dimensional cytometry")
4514 (description
4515 "This package provides statistical methods for differential discovery
4516 analyses in high-dimensional cytometry data (including flow cytometry, mass
4517 cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a
4518 combination of high-resolution clustering and empirical Bayes moderated tests
4519 adapted from transcriptomics.")
4520 (license license:expat)))
4521
4522 (define-public r-dirichletmultinomial
4523 (package
4524 (name "r-dirichletmultinomial")
4525 (version "1.38.0")
4526 (source
4527 (origin
4528 (method url-fetch)
4529 (uri (bioconductor-uri "DirichletMultinomial" version))
4530 (sha256
4531 (base32
4532 "15l0h2qz80lmrm5rva3v7lkgddn42igyxxwims57zwpwyhrk9bmx"))))
4533 (properties
4534 `((upstream-name . "DirichletMultinomial")))
4535 (build-system r-build-system)
4536 (inputs
4537 (list gsl))
4538 (propagated-inputs
4539 (list r-biocgenerics r-iranges r-s4vectors))
4540 (home-page "https://bioconductor.org/packages/DirichletMultinomial")
4541 (synopsis "Dirichlet-Multinomial mixture models for microbiome data")
4542 (description
4543 "Dirichlet-multinomial mixture models can be used to describe variability
4544 in microbial metagenomic data. This package is an interface to code
4545 originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2):
4546 1-15.")
4547 (license license:lgpl3)))
4548
4549 (define-public r-dittoseq
4550 (package
4551 (name "r-dittoseq")
4552 (version "1.8.1")
4553 (source (origin
4554 (method url-fetch)
4555 (uri (bioconductor-uri "dittoSeq" version))
4556 (sha256
4557 (base32
4558 "0vi0hcyffaxp6yxsrq95bdlrhr85dvbqm9c7rg6a6blkfgwhlzb4"))))
4559 (properties `((upstream-name . "dittoSeq")))
4560 (build-system r-build-system)
4561 (propagated-inputs
4562 (list r-colorspace
4563 r-cowplot
4564 r-ggplot2
4565 r-ggrepel
4566 r-ggridges
4567 r-gridextra
4568 r-pheatmap
4569 r-reshape2
4570 r-s4vectors
4571 r-singlecellexperiment
4572 r-summarizedexperiment))
4573 (native-inputs (list r-knitr))
4574 (home-page "https://bioconductor.org/packages/dittoSeq")
4575 (synopsis "Single-cell and bulk RNA sequencing visualization")
4576 (description
4577 "This package provides a universal, user friendly, single-cell and bulk RNA
4578 sequencing visualization toolkit that allows highly customizable creation of
4579 color blindness friendly, publication-quality figures. dittoSeq accepts both
4580 SingleCellExperiment (SCE) and Seurat objects, as well as the import and
4581 usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk data.
4582 Visualizations include dimensionality reduction plots, heatmaps, scatterplots,
4583 percent composition or expression across groups, and more. Customizations
4584 range from size and title adjustments to automatic generation of annotations
4585 for heatmaps, overlay of trajectory analysis onto any dimensionality reduciton
4586 plot, hidden data overlay upon cursor hovering via ggplotly conversion, and
4587 many more. All with simple, discrete inputs. Color blindness friendliness is
4588 powered by legend adjustments (enlarged keys), and by allowing the use of
4589 shapes or letter-overlay in addition to the carefully selected
4590 code{dittoColors()}.")
4591 (license license:expat)))
4592
4593 (define-public r-edaseq
4594 (package
4595 (name "r-edaseq")
4596 (version "2.30.0")
4597 (source
4598 (origin
4599 (method url-fetch)
4600 (uri (bioconductor-uri "EDASeq" version))
4601 (sha256
4602 (base32
4603 "1qnpbmhxvqsma7ihi6yp3ad962xcanlxald84k2szh011ipxj7ws"))))
4604 (properties `((upstream-name . "EDASeq")))
4605 (build-system r-build-system)
4606 (propagated-inputs
4607 (list r-annotationdbi
4608 r-aroma-light
4609 r-biobase
4610 r-biocgenerics
4611 r-biocmanager
4612 r-biomart
4613 r-biostrings
4614 r-genomicfeatures
4615 r-genomicranges
4616 r-iranges
4617 r-rsamtools
4618 r-shortread))
4619 (native-inputs
4620 (list r-knitr))
4621 (home-page "https://github.com/drisso/EDASeq")
4622 (synopsis "Exploratory data analysis and normalization for RNA-Seq")
4623 (description
4624 "This package provides support for numerical and graphical summaries of
4625 RNA-Seq genomic read data. Provided within-lane normalization procedures to
4626 adjust for GC-content effect (or other gene-level effects) on read counts:
4627 loess robust local regression, global-scaling, and full-quantile
4628 normalization. Between-lane normalization procedures to adjust for
4629 distributional differences between lanes (e.g., sequencing depth):
4630 global-scaling and full-quantile normalization.")
4631 (license license:artistic2.0)))
4632
4633 (define-public r-edger
4634 (package
4635 (name "r-edger")
4636 (version "3.38.4")
4637 (source (origin
4638 (method url-fetch)
4639 (uri (bioconductor-uri "edgeR" version))
4640 (sha256
4641 (base32
4642 "1ww69xrg9qrmq7dix2k48j6akgn58ss3340hm7pjvzx508x1j6n6"))))
4643 (properties `((upstream-name . "edgeR")))
4644 (build-system r-build-system)
4645 (propagated-inputs
4646 (list r-limma r-locfit r-rcpp))
4647 (home-page "http://bioinf.wehi.edu.au/edgeR")
4648 (synopsis "EdgeR does empirical analysis of digital gene expression data")
4649 (description "This package can do differential expression analysis of
4650 RNA-seq expression profiles with biological replication. It implements a range
4651 of statistical methodology based on the negative binomial distributions,
4652 including empirical Bayes estimation, exact tests, generalized linear models
4653 and quasi-likelihood tests. It be applied to differential signal analysis of
4654 other types of genomic data that produce counts, including ChIP-seq, SAGE and
4655 CAGE.")
4656 (license license:gpl2+)))
4657
4658 (define-public r-ensembldb
4659 (package
4660 (name "r-ensembldb")
4661 (version "2.20.2")
4662 (source
4663 (origin
4664 (method url-fetch)
4665 (uri (bioconductor-uri "ensembldb" version))
4666 (sha256
4667 (base32
4668 "12n21dcimdhgyjzk33m6xbv0m9ihgyzcf66vr1jr5ycv3rq2s7xc"))))
4669 (build-system r-build-system)
4670 (propagated-inputs
4671 (list r-annotationdbi
4672 r-annotationfilter
4673 r-biobase
4674 r-biocgenerics
4675 r-biostrings
4676 r-curl
4677 r-dbi
4678 r-genomeinfodb
4679 r-genomicfeatures
4680 r-genomicranges
4681 r-iranges
4682 r-protgenerics
4683 r-rsamtools
4684 r-rsqlite
4685 r-rtracklayer
4686 r-s4vectors))
4687 (native-inputs
4688 (list r-knitr))
4689 (home-page "https://github.com/jotsetung/ensembldb")
4690 (synopsis "Utilities to create and use Ensembl-based annotation databases")
4691 (description
4692 "The package provides functions to create and use transcript-centric
4693 annotation databases/packages. The annotation for the databases are directly
4694 fetched from Ensembl using their Perl API. The functionality and data is
4695 similar to that of the TxDb packages from the @code{GenomicFeatures} package,
4696 but, in addition to retrieve all gene/transcript models and annotations from
4697 the database, the @code{ensembldb} package also provides a filter framework
4698 allowing to retrieve annotations for specific entries like genes encoded on a
4699 chromosome region or transcript models of lincRNA genes.")
4700 ;; No version specified
4701 (license license:lgpl3+)))
4702
4703 (define-public r-fastseg
4704 (package
4705 (name "r-fastseg")
4706 (version "1.42.0")
4707 (source
4708 (origin
4709 (method url-fetch)
4710 (uri (bioconductor-uri "fastseg" version))
4711 (sha256
4712 (base32
4713 "1cr1b1jbgp1z1zpf71kl7mljbm2jpi6b97bf3bll3gnagfm489hy"))))
4714 (build-system r-build-system)
4715 (propagated-inputs
4716 (list r-biobase r-biocgenerics r-genomicranges r-iranges
4717 r-s4vectors))
4718 (home-page "https://www.bioinf.jku.at/software/fastseg/index.html")
4719 (synopsis "Fast segmentation algorithm for genetic sequencing data")
4720 (description
4721 "Fastseg implements a very fast and efficient segmentation algorithm.
4722 It can segment data from DNA microarrays and data from next generation
4723 sequencing for example to detect copy number segments. Further it can segment
4724 data from RNA microarrays like tiling arrays to identify transcripts. Most
4725 generally, it can segment data given as a matrix or as a vector. Various data
4726 formats can be used as input to fastseg like expression set objects for
4727 microarrays or GRanges for sequencing data.")
4728 (license license:lgpl2.0+)))
4729
4730 (define-public r-gage
4731 (package
4732 (name "r-gage")
4733 (version "2.46.1")
4734 (source
4735 (origin
4736 (method url-fetch)
4737 (uri (bioconductor-uri "gage" version))
4738 (sha256
4739 (base32
4740 "01y04jcy7a9fksyhj0nq37n1inkrpqf4qv117lflvipbx0dsw4gl"))))
4741 (build-system r-build-system)
4742 (propagated-inputs
4743 (list r-annotationdbi r-go-db r-graph r-keggrest))
4744 (home-page (string-append "https://bmcbioinformatics.biomedcentral.com/"
4745 "articles/10.1186/1471-2105-10-161"))
4746 (synopsis "Generally applicable gene-set enrichment for pathway analysis")
4747 (description
4748 "GAGE is a published method for gene set (enrichment or GSEA) or pathway
4749 analysis. GAGE is generally applicable independent of microarray or RNA-Seq
4750 data attributes including sample sizes, experimental designs, assay platforms,
4751 and other types of heterogeneity. The gage package provides functions for
4752 basic GAGE analysis, result processing and presentation. In addition, it
4753 provides demo microarray data and commonly used gene set data based on KEGG
4754 pathways and GO terms. These functions and data are also useful for gene set
4755 analysis using other methods.")
4756 (license license:gpl2+)))
4757
4758 (define-public r-genefilter
4759 (package
4760 (name "r-genefilter")
4761 (version "1.78.0")
4762 (source
4763 (origin
4764 (method url-fetch)
4765 (uri (bioconductor-uri "genefilter" version))
4766 (sha256
4767 (base32
4768 "1lp3alnljhsil8zylf8rvf8ik4wmsyciy3ij4rr9l4191dkkp4aq"))))
4769 (build-system r-build-system)
4770 (native-inputs
4771 (list gfortran r-knitr))
4772 (propagated-inputs
4773 (list r-annotate r-annotationdbi r-biobase r-biocgenerics
4774 r-survival))
4775 (home-page "https://bioconductor.org/packages/genefilter")
4776 (synopsis "Filter genes from high-throughput experiments")
4777 (description
4778 "This package provides basic functions for filtering genes from
4779 high-throughput sequencing experiments.")
4780 (license license:artistic2.0)))
4781
4782 (define-public r-geneoverlap
4783 (package
4784 (name "r-geneoverlap")
4785 (version "1.32.0")
4786 (source (origin
4787 (method url-fetch)
4788 (uri (bioconductor-uri "GeneOverlap" version))
4789 (sha256
4790 (base32
4791 "0nqwa3x9q1hl9nm06hqzzrn00rirc9kj6s320csjlf7x6rcidr93"))))
4792 (build-system r-build-system)
4793 (propagated-inputs
4794 (list r-rcolorbrewer r-gplots))
4795 (home-page "https://www.bioconductor.org/packages/GeneOverlap/")
4796 (synopsis "Test and visualize gene overlaps")
4797 (description "This package can be used to test two sets of gene lists
4798 and visualize the results.")
4799 (license license:gpl3)))
4800
4801 (define-public r-genomation
4802 (package
4803 (name "r-genomation")
4804 (version "1.28.0")
4805 (source (origin
4806 (method url-fetch)
4807 (uri (bioconductor-uri "genomation" version))
4808 (sha256
4809 (base32
4810 "0rvay7gs4g2wi6h42kln8xwy9b05axj1x8mkfayl6pnnlva6xj79"))))
4811 (build-system r-build-system)
4812 (propagated-inputs
4813 (list r-biostrings
4814 r-bsgenome
4815 r-data-table
4816 r-genomeinfodb
4817 r-genomicalignments
4818 r-genomicranges
4819 r-ggplot2
4820 r-gridbase
4821 r-impute
4822 r-iranges
4823 r-matrixstats
4824 r-plotrix
4825 r-plyr
4826 r-rcpp
4827 r-readr
4828 r-reshape2
4829 r-rsamtools
4830 r-rtracklayer
4831 r-s4vectors
4832 r-seqpattern))
4833 (native-inputs
4834 (list r-knitr))
4835 (home-page "https://bioinformatics.mdc-berlin.de/genomation/")
4836 (synopsis "Summary, annotation and visualization of genomic data")
4837 (description
4838 "This package provides a package for summary and annotation of genomic
4839 intervals. Users can visualize and quantify genomic intervals over
4840 pre-defined functional regions, such as promoters, exons, introns, etc. The
4841 genomic intervals represent regions with a defined chromosome position, which
4842 may be associated with a score, such as aligned reads from HT-seq experiments,
4843 TF binding sites, methylation scores, etc. The package can use any tabular
4844 genomic feature data as long as it has minimal information on the locations of
4845 genomic intervals. In addition, it can use BAM or BigWig files as input.")
4846 (license license:artistic2.0)))
4847
4848 (define-public r-genomeinfodb
4849 (package
4850 (name "r-genomeinfodb")
4851 (version "1.32.4")
4852 (source (origin
4853 (method url-fetch)
4854 (uri (bioconductor-uri "GenomeInfoDb" version))
4855 (sha256
4856 (base32
4857 "0z2bqr0zrl3r2kcqs72ny8p1psf8w1sgbr7qjjknxdv1qp8m2j7v"))))
4858 (properties
4859 `((upstream-name . "GenomeInfoDb")))
4860 (build-system r-build-system)
4861 (propagated-inputs
4862 (list r-biocgenerics r-genomeinfodbdata r-iranges r-rcurl
4863 r-s4vectors))
4864 (native-inputs
4865 (list r-knitr))
4866 (home-page "https://bioconductor.org/packages/GenomeInfoDb")
4867 (synopsis "Utilities for manipulating chromosome identifiers")
4868 (description
4869 "This package contains data and functions that define and allow
4870 translation between different chromosome sequence naming conventions (e.g.,
4871 \"chr1\" versus \"1\"), including a function that attempts to place sequence
4872 names in their natural, rather than lexicographic, order.")
4873 (license license:artistic2.0)))
4874
4875 (define-public r-genomicalignments
4876 (package
4877 (name "r-genomicalignments")
4878 (version "1.32.1")
4879 (source (origin
4880 (method url-fetch)
4881 (uri (bioconductor-uri "GenomicAlignments" version))
4882 (sha256
4883 (base32
4884 "09pg7822camyav5zvlpv360sj5gz8q1bhk528qa2da2qsz74a3cz"))))
4885 (properties
4886 `((upstream-name . "GenomicAlignments")))
4887 (build-system r-build-system)
4888 (propagated-inputs
4889 (list r-biocgenerics
4890 r-biocparallel
4891 r-biostrings
4892 r-genomeinfodb
4893 r-genomicranges
4894 r-iranges
4895 r-rsamtools
4896 r-s4vectors
4897 r-summarizedexperiment))
4898 (home-page "https://bioconductor.org/packages/GenomicAlignments")
4899 (synopsis "Representation and manipulation of short genomic alignments")
4900 (description
4901 "This package provides efficient containers for storing and manipulating
4902 short genomic alignments (typically obtained by aligning short reads to a
4903 reference genome). This includes read counting, computing the coverage,
4904 junction detection, and working with the nucleotide content of the
4905 alignments.")
4906 (license license:artistic2.0)))
4907
4908 (define-public r-genomicfeatures
4909 (package
4910 (name "r-genomicfeatures")
4911 (version "1.48.4")
4912 (source (origin
4913 (method url-fetch)
4914 (uri (bioconductor-uri "GenomicFeatures" version))
4915 (sha256
4916 (base32
4917 "15kn5lmdqp7rsh2zlixj7ashsqnv50bs36hapw36qbaz9vgvim4v"))))
4918 (properties
4919 `((upstream-name . "GenomicFeatures")))
4920 (build-system r-build-system)
4921 (propagated-inputs
4922 (list r-annotationdbi
4923 r-biobase
4924 r-biocgenerics
4925 r-biocio
4926 r-biomart
4927 r-biostrings
4928 r-dbi
4929 r-genomeinfodb
4930 r-genomicranges
4931 r-iranges
4932 r-rcurl
4933 r-rsqlite
4934 r-rtracklayer
4935 r-s4vectors
4936 r-xvector))
4937 (native-inputs
4938 (list r-knitr))
4939 (home-page "https://bioconductor.org/packages/GenomicFeatures")
4940 (synopsis "Tools for working with transcript centric annotations")
4941 (description
4942 "This package provides a set of tools and methods for making and
4943 manipulating transcript centric annotations. With these tools the user can
4944 easily download the genomic locations of the transcripts, exons and cds of a
4945 given organism, from either the UCSC Genome Browser or a BioMart
4946 database (more sources will be supported in the future). This information is
4947 then stored in a local database that keeps track of the relationship between
4948 transcripts, exons, cds and genes. Flexible methods are provided for
4949 extracting the desired features in a convenient format.")
4950 (license license:artistic2.0)))
4951
4952 (define-public r-genomicfiles
4953 (package
4954 (name "r-genomicfiles")
4955 (version "1.32.1")
4956 (source
4957 (origin
4958 (method url-fetch)
4959 (uri (bioconductor-uri "GenomicFiles" version))
4960 (sha256
4961 (base32
4962 "06ycfna26klx27vvsnlpgv46bymfrc8z0zkpag7nm4m23153ivkz"))))
4963 (properties `((upstream-name . "GenomicFiles")))
4964 (build-system r-build-system)
4965 (propagated-inputs
4966 (list r-biocgenerics
4967 r-biocparallel
4968 r-genomeinfodb
4969 r-genomicalignments
4970 r-genomicranges
4971 r-iranges
4972 r-matrixgenerics
4973 r-rsamtools
4974 r-rtracklayer
4975 r-s4vectors
4976 r-summarizedexperiment
4977 r-variantannotation))
4978 (home-page "https://bioconductor.org/packages/GenomicFiles")
4979 (synopsis "Distributed computing by file or by range")
4980 (description
4981 "This package provides infrastructure for parallel computations
4982 distributed by file or by range. User defined mapper and reducer functions
4983 provide added flexibility for data combination and manipulation.")
4984 (license license:artistic2.0)))
4985
4986 (define-public r-genomicranges
4987 (package
4988 (name "r-genomicranges")
4989 (version "1.48.0")
4990 (source (origin
4991 (method url-fetch)
4992 (uri (bioconductor-uri "GenomicRanges" version))
4993 (sha256
4994 (base32
4995 "088rv1aclwq265pdg4hmks73nl0125vk0vigyi44n3djkrdx48yn"))))
4996 (properties
4997 `((upstream-name . "GenomicRanges")))
4998 (build-system r-build-system)
4999 (propagated-inputs
5000 (list r-biocgenerics r-genomeinfodb r-iranges r-s4vectors r-xvector))
5001 (native-inputs
5002 (list r-knitr))
5003 (home-page "https://bioconductor.org/packages/GenomicRanges")
5004 (synopsis "Representation and manipulation of genomic intervals")
5005 (description
5006 "This package provides tools to efficiently represent and manipulate
5007 genomic annotations and alignments is playing a central role when it comes to
5008 analyzing high-throughput sequencing data (a.k.a. NGS data). The
5009 GenomicRanges package defines general purpose containers for storing and
5010 manipulating genomic intervals and variables defined along a genome.")
5011 (license license:artistic2.0)))
5012
5013 (define-public r-gostats
5014 (package
5015 (name "r-gostats")
5016 (version "2.62.0")
5017 (source
5018 (origin
5019 (method url-fetch)
5020 (uri (bioconductor-uri "GOstats" version))
5021 (sha256
5022 (base32
5023 "121ly9vifarg8y7mc468571bbs0xv4sx6sflm5zcdqf0p83yvjrm"))))
5024 (properties `((upstream-name . "GOstats")))
5025 (build-system r-build-system)
5026 (propagated-inputs
5027 (list r-annotate
5028 r-annotationdbi
5029 r-annotationforge
5030 r-biobase
5031 r-category
5032 r-go-db
5033 r-graph
5034 r-rgraphviz
5035 r-rbgl))
5036 (home-page "https://bioconductor.org/packages/GOstats")
5037 (synopsis "Tools for manipulating GO and microarrays")
5038 (description
5039 "This package provides a set of tools for interacting with GO and
5040 microarray data. A variety of basic manipulation tools for graphs, hypothesis
5041 testing and other simple calculations.")
5042 (license license:artistic2.0)))
5043
5044 (define-public r-gseabase
5045 (package
5046 (name "r-gseabase")
5047 (version "1.58.0")
5048 (source
5049 (origin
5050 (method url-fetch)
5051 (uri (bioconductor-uri "GSEABase" version))
5052 (sha256
5053 (base32
5054 "1qhvgyg392fd98h2qnmfmhg7mil5hp9cy3qmkqs4x1bhpv1m978g"))))
5055 (properties `((upstream-name . "GSEABase")))
5056 (build-system r-build-system)
5057 (propagated-inputs
5058 (list r-annotate
5059 r-annotationdbi
5060 r-biobase
5061 r-biocgenerics
5062 r-graph
5063 r-xml))
5064 (native-inputs
5065 (list r-knitr))
5066 (home-page "https://bioconductor.org/packages/GSEABase")
5067 (synopsis "Gene set enrichment data structures and methods")
5068 (description
5069 "This package provides classes and methods to support @dfn{Gene Set
5070 Enrichment Analysis} (GSEA).")
5071 (license license:artistic2.0)))
5072
5073 (define-public r-hpar
5074 (package
5075 (name "r-hpar")
5076 (version "1.38.0")
5077 (source
5078 (origin
5079 (method url-fetch)
5080 (uri (bioconductor-uri "hpar" version))
5081 (sha256
5082 (base32
5083 "07c6r703d5xp7y9bqmqalxgna2qrbk1h5s0d992m7360k259mgrj"))))
5084 (build-system r-build-system)
5085 (native-inputs
5086 (list r-knitr))
5087 (home-page "https://bioconductor.org/packages/hpar/")
5088 (synopsis "Human Protein Atlas in R")
5089 (description "This package provides a simple interface to and data from
5090 the Human Protein Atlas project.")
5091 (license license:artistic2.0)))
5092
5093 (define-public r-rhtslib
5094 (package
5095 (name "r-rhtslib")
5096 (version "1.28.0")
5097 (source
5098 (origin
5099 (method url-fetch)
5100 (uri (bioconductor-uri "Rhtslib" version))
5101 (sha256
5102 (base32
5103 "07kws6afkxbmxq4w357mwwl712pdd16alvz7iqijjd2x7rjchj2f"))))
5104 (properties `((upstream-name . "Rhtslib")))
5105 (build-system r-build-system)
5106 ;; Without this a temporary directory ends up in the Rhtslib.so binary,
5107 ;; which makes R abort the build.
5108 (arguments '(#:configure-flags '("--no-staged-install")))
5109 (propagated-inputs
5110 (list curl zlib ; packages using rhtslib need to link with zlib
5111 r-zlibbioc))
5112 (native-inputs
5113 (list pkg-config r-knitr))
5114 (home-page "https://github.com/nhayden/Rhtslib")
5115 (synopsis "High-throughput sequencing library as an R package")
5116 (description
5117 "This package provides the HTSlib C library for high-throughput
5118 nucleotide sequence analysis. The package is primarily useful to developers
5119 of other R packages who wish to make use of HTSlib.")
5120 (license license:lgpl2.0+)))
5121
5122 (define-public r-impute
5123 (package
5124 (name "r-impute")
5125 (version "1.70.0")
5126 (source (origin
5127 (method url-fetch)
5128 (uri (bioconductor-uri "impute" version))
5129 (sha256
5130 (base32
5131 "11b0z7py0im6y43k55xpzz5jnvc0ram9rk3n1n4mwhvs0vhy39r2"))))
5132 (native-inputs
5133 (list gfortran))
5134 (build-system r-build-system)
5135 (home-page "https://bioconductor.org/packages/impute")
5136 (synopsis "Imputation for microarray data")
5137 (description
5138 "This package provides a function to impute missing gene expression
5139 microarray data, using nearest neighbor averaging.")
5140 (license license:gpl2+)))
5141
5142 (define-public r-interactivedisplaybase
5143 (package
5144 (name "r-interactivedisplaybase")
5145 (version "1.34.0")
5146 (source
5147 (origin
5148 (method url-fetch)
5149 (uri (bioconductor-uri "interactiveDisplayBase" version))
5150 (sha256
5151 (base32
5152 "0fdwx5ch0ch8axdkfiq7zzhhq5hwcvd6kf8fggw9nd3ah1yjwbdg"))))
5153 (properties
5154 `((upstream-name . "interactiveDisplayBase")))
5155 (build-system r-build-system)
5156 (propagated-inputs
5157 (list r-biocgenerics r-dt r-shiny))
5158 (native-inputs
5159 (list r-knitr))
5160 (home-page "https://bioconductor.org/packages/interactiveDisplayBase")
5161 (synopsis "Base package for web displays of Bioconductor objects")
5162 (description
5163 "This package contains the basic methods needed to generate interactive
5164 Shiny-based display methods for Bioconductor objects.")
5165 (license license:artistic2.0)))
5166
5167 (define-public r-keggrest
5168 (package
5169 (name "r-keggrest")
5170 (version "1.36.3")
5171 (source
5172 (origin
5173 (method url-fetch)
5174 (uri (bioconductor-uri "KEGGREST" version))
5175 (sha256
5176 (base32
5177 "0lzb3z6pzm323q70931b7220ygml7jb4g81dybwa79wqiqz15pni"))))
5178 (properties `((upstream-name . "KEGGREST")))
5179 (build-system r-build-system)
5180 (propagated-inputs
5181 (list r-biostrings r-httr r-png))
5182 (native-inputs
5183 (list r-knitr))
5184 (home-page "https://bioconductor.org/packages/KEGGREST")
5185 (synopsis "Client-side REST access to KEGG")
5186 (description
5187 "This package provides a package that provides a client interface to the
5188 @dfn{Kyoto Encyclopedia of Genes and Genomes} (KEGG) REST server.")
5189 (license license:artistic2.0)))
5190
5191 (define-public r-lfa
5192 (package
5193 (name "r-lfa")
5194 (version "1.26.0")
5195 (source
5196 (origin
5197 (method url-fetch)
5198 (uri (bioconductor-uri "lfa" version))
5199 (sha256
5200 (base32 "044866h4fnxmzb3sh9vmrd2smgsbcqgvd19dgwxisi418cad577l"))))
5201 (properties `((upstream-name . "lfa")))
5202 (build-system r-build-system)
5203 (propagated-inputs (list r-corpcor))
5204 (native-inputs (list r-knitr))
5205 (home-page "https://github.com/StoreyLab/lfa")
5206 (synopsis "Logistic Factor Analysis for categorical data")
5207 (description
5208 "@dfn{Logistic Factor Analysis} (LFA) is a method for a PCA analogue on
5209 Binomial data via estimation of latent structure in the natural parameter.")
5210 (license license:gpl3)))
5211
5212 (define-public r-limma
5213 (package
5214 (name "r-limma")
5215 (version "3.52.4")
5216 (source (origin
5217 (method url-fetch)
5218 (uri (bioconductor-uri "limma" version))
5219 (sha256
5220 (base32
5221 "14xy3qyra2crz31sxgz768mhnhhvcpfhfcigf4xsii643lqcz75h"))))
5222 (build-system r-build-system)
5223 (home-page "http://bioinf.wehi.edu.au/limma")
5224 (synopsis "Package for linear models for microarray and RNA-seq data")
5225 (description "This package can be used for the analysis of gene expression
5226 studies, especially the use of linear models for analysing designed experiments
5227 and the assessment of differential expression. The analysis methods apply to
5228 different technologies, including microarrays, RNA-seq, and quantitative PCR.")
5229 (license license:gpl2+)))
5230
5231 (define-public r-made4
5232 (package
5233 (name "r-made4")
5234 (version "1.70.0")
5235 (source (origin
5236 (method url-fetch)
5237 (uri (bioconductor-uri "made4" version))
5238 (sha256
5239 (base32
5240 "1wrv9d2mp799qzy1bsaj4w7wx12gdhfv9qvklz7z41vfz59d6bq5"))))
5241 (properties `((upstream-name . "made4")))
5242 (build-system r-build-system)
5243 (propagated-inputs
5244 (list r-ade4
5245 r-biobase
5246 r-gplots
5247 r-rcolorbrewer
5248 r-scatterplot3d
5249 r-summarizedexperiment))
5250 (native-inputs (list r-knitr))
5251 (home-page "http://www.hsph.harvard.edu/aedin-culhane/")
5252 (synopsis "Multivariate analysis of microarray data using ADE4")
5253 (description
5254 "This is a package for multivariate data analysis and graphical display
5255 of microarray data. Functions are included for supervised dimension
5256 reduction (between group analysis) and joint dimension reduction of two
5257 datasets (coinertia analysis).")
5258 (license license:artistic2.0)))
5259
5260 (define-public r-methylkit
5261 (package
5262 (name "r-methylkit")
5263 (version "1.22.0")
5264 (source (origin
5265 (method url-fetch)
5266 (uri (bioconductor-uri "methylKit" version))
5267 (sha256
5268 (base32
5269 "00asjzv05avfg0rrkmfbdqd6xx8d18zi72n3b1kf9wj81z2d2a35"))))
5270 (properties `((upstream-name . "methylKit")))
5271 (build-system r-build-system)
5272 (propagated-inputs
5273 (list r-data-table
5274 r-emdbook
5275 r-fastseg
5276 r-genomeinfodb
5277 r-genomicranges
5278 r-gtools
5279 r-iranges
5280 r-kernsmooth
5281 r-limma
5282 r-mclust
5283 r-mgcv
5284 r-qvalue
5285 r-r-utils
5286 r-rcpp
5287 r-rhtslib
5288 r-rsamtools
5289 r-rtracklayer
5290 r-s4vectors
5291 r-zlibbioc))
5292 (native-inputs
5293 (list r-knitr)) ; for vignettes
5294 (home-page "https://github.com/al2na/methylKit")
5295 (synopsis
5296 "DNA methylation analysis from high-throughput bisulfite sequencing results")
5297 (description
5298 "MethylKit is an R package for DNA methylation analysis and annotation
5299 from high-throughput bisulfite sequencing. The package is designed to deal
5300 with sequencing data from @dfn{Reduced representation bisulfite
5301 sequencing} (RRBS) and its variants, but also target-capture methods and whole
5302 genome bisulfite sequencing. It also has functions to analyze base-pair
5303 resolution 5hmC data from experimental protocols such as oxBS-Seq and
5304 TAB-Seq.")
5305 (license license:artistic2.0)))
5306
5307 (define-public r-motifrg
5308 (package
5309 (name "r-motifrg")
5310 (version "1.31.0")
5311 (source
5312 (origin
5313 (method url-fetch)
5314 (uri (bioconductor-uri "motifRG" version))
5315 (sha256
5316 (base32
5317 "1ml6zyzlk8yjbnfhga2qnw8nl43rankvka0kc1yljxr2b66aqbhn"))))
5318 (properties `((upstream-name . "motifRG")))
5319 (build-system r-build-system)
5320 (propagated-inputs
5321 (list r-biostrings
5322 r-bsgenome
5323 r-bsgenome-hsapiens-ucsc-hg19
5324 r-iranges
5325 r-seqlogo
5326 r-xvector))
5327 (home-page "https://bioconductor.org/packages/motifRG")
5328 (synopsis "Discover motifs in high throughput sequencing data")
5329 (description
5330 "This package provides tools for discriminative motif discovery in high
5331 throughput genetic sequencing data sets using regression methods.")
5332 (license license:artistic2.0)))
5333
5334 (define-public r-muscat
5335 (package
5336 (name "r-muscat")
5337 (version "1.10.1")
5338 (source
5339 (origin
5340 (method url-fetch)
5341 (uri (bioconductor-uri "muscat" version))
5342 (sha256
5343 (base32
5344 "1j3zkhqgza92vdykb1yia1jjwsdqra6q9c0jk6p5p2x0778xqgfd"))))
5345 (properties `((upstream-name . "muscat")))
5346 (build-system r-build-system)
5347 (propagated-inputs
5348 (list r-biocparallel
5349 r-blme
5350 r-complexheatmap
5351 r-data-table
5352 r-deseq2
5353 r-dplyr
5354 r-edger
5355 r-ggplot2
5356 r-glmmtmb
5357 r-limma
5358 r-lme4
5359 r-lmertest
5360 r-matrix
5361 r-matrixstats
5362 r-progress
5363 r-purrr
5364 r-s4vectors
5365 r-scales
5366 r-scater
5367 r-sctransform
5368 r-scuttle
5369 r-singlecellexperiment
5370 r-summarizedexperiment
5371 r-variancepartition
5372 r-viridis))
5373 (native-inputs (list r-knitr))
5374 (home-page "https://github.com/HelenaLC/muscat")
5375 (synopsis "Multi-sample multi-group scRNA-seq data analysis tools")
5376 (description
5377 "This package @code{muscat} provides various methods and visualization tools
5378 for @dfn{DS}(differential splicing) analysis in multi-sample, multi-group,
5379 multi-(cell-)subpopulation scRNA-seq data, including cell-level mixed models and
5380 methods based on aggregated \"pseudobulk\" data, as well as a flexible simulation
5381 platform that mimics both single and multi-sample scRNA-seq data.")
5382 (license license:gpl3)))
5383
5384 (define-public r-mutationalpatterns
5385 (package
5386 (name "r-mutationalpatterns")
5387 (version "3.6.0")
5388 (source
5389 (origin
5390 (method url-fetch)
5391 (uri (bioconductor-uri "MutationalPatterns" version))
5392 (sha256
5393 (base32
5394 "113b2hrc0n47qz144xhky93jcm6qh6flzadq5y0plga5jrz0rnwg"))))
5395 (build-system r-build-system)
5396 (native-inputs
5397 (list r-knitr))
5398 (propagated-inputs
5399 (list r-biocgenerics
5400 r-biostrings
5401 r-bsgenome
5402 ;; These two packages are suggested packages
5403 r-bsgenome-hsapiens-1000genomes-hs37d5
5404 r-bsgenome-hsapiens-ucsc-hg19
5405 r-cowplot
5406 r-dplyr
5407 r-genomeinfodb
5408 r-genomicranges
5409 r-ggalluvial
5410 r-ggdendro
5411 r-ggplot2
5412 r-iranges
5413 r-magrittr
5414 r-nmf
5415 r-pracma
5416 r-purrr
5417 r-rcolorbrewer
5418 r-s4vectors
5419 r-stringr
5420 r-tibble
5421 r-tidyr
5422 r-variantannotation))
5423 (home-page "https://bioconductor.org/packages/MutationalPatterns/")
5424 (synopsis "Extract and visualize mutational patterns in genomic data")
5425 (description "This package provides an extensive toolset for the
5426 characterization and visualization of a wide range of mutational patterns
5427 in SNV base substitution data.")
5428 (license license:expat)))
5429
5430 (define-public r-msnbase
5431 (package
5432 (name "r-msnbase")
5433 (version "2.22.0")
5434 (source
5435 (origin
5436 (method url-fetch)
5437 (uri (bioconductor-uri "MSnbase" version))
5438 (sha256
5439 (base32
5440 "1xzn0k3c2wn6c6gv90hddy3c201sg927342zrw9ig2xap0r053x3"))))
5441 (properties `((upstream-name . "MSnbase")))
5442 (build-system r-build-system)
5443 (propagated-inputs
5444 (list r-affy
5445 r-biobase
5446 r-biocgenerics
5447 r-biocparallel
5448 r-digest
5449 r-ggplot2
5450 r-impute
5451 r-iranges
5452 r-lattice
5453 r-maldiquant
5454 r-mass
5455 r-mscoreutils
5456 r-mzid
5457 r-mzr
5458 r-pcamethods
5459 r-plyr
5460 r-protgenerics
5461 r-rcpp
5462 r-s4vectors
5463 r-scales
5464 r-vsn
5465 r-xml))
5466 (native-inputs
5467 (list r-knitr))
5468 (home-page "https://github.com/lgatto/MSnbase")
5469 (synopsis "Base functions and classes for MS-based proteomics")
5470 (description
5471 "This package provides basic plotting, data manipulation and processing
5472 of mass spectrometry based proteomics data.")
5473 (license license:artistic2.0)))
5474
5475 (define-public r-msnid
5476 (package
5477 (name "r-msnid")
5478 (version "1.30.0")
5479 (source
5480 (origin
5481 (method url-fetch)
5482 (uri (bioconductor-uri "MSnID" version))
5483 (sha256
5484 (base32
5485 "1yiw95p40nz0pvq7s4i0xg02r9yqmnknak00z4lkw8jij3w3rkkq"))))
5486 (properties `((upstream-name . "MSnID")))
5487 (build-system r-build-system)
5488 (arguments
5489 `(#:phases
5490 (modify-phases %standard-phases
5491 (add-after 'unpack 'set-HOME
5492 (lambda _ (setenv "HOME" "/tmp"))))))
5493 (propagated-inputs
5494 (list r-annotationdbi
5495 r-annotationhub
5496 r-biobase
5497 r-biocgenerics
5498 r-biocstyle
5499 r-biostrings
5500 r-data-table
5501 r-doparallel
5502 r-dplyr
5503 r-foreach
5504 r-ggplot2
5505 r-iterators
5506 r-msnbase
5507 r-msmstests
5508 r-mzid
5509 r-mzr
5510 r-protgenerics
5511 r-purrr
5512 r-r-cache
5513 r-rcpp
5514 r-reshape2
5515 r-rlang
5516 r-runit
5517 r-stringr
5518 r-tibble
5519 r-xtable))
5520 (home-page "https://bioconductor.org/packages/MSnID")
5521 (synopsis "Utilities for LC-MSn proteomics identifications")
5522 (description
5523 "This package extracts @dfn{tandem mass spectrometry} (MS/MS) ID data
5524 from mzIdentML (leveraging the mzID package) or text files. After collating
5525 the search results from multiple datasets it assesses their identification
5526 quality and optimize filtering criteria to achieve the maximum number of
5527 identifications while not exceeding a specified false discovery rate. It also
5528 contains a number of utilities to explore the MS/MS results and assess missed
5529 and irregular enzymatic cleavages, mass measurement accuracy, etc.")
5530 (license license:artistic2.0)))
5531
5532 (define-public r-mzid
5533 (package
5534 (name "r-mzid")
5535 (version "1.34.0")
5536 (source
5537 (origin
5538 (method url-fetch)
5539 (uri (bioconductor-uri "mzID" version))
5540 (sha256
5541 (base32
5542 "1q1aqyya9nd494s7m3rdaf3kixipdrwbj825g40kdljwrg85y961"))))
5543 (properties `((upstream-name . "mzID")))
5544 (build-system r-build-system)
5545 (propagated-inputs
5546 (list r-doparallel
5547 r-foreach
5548 r-iterators
5549 r-plyr
5550 r-protgenerics
5551 r-xml))
5552 (native-inputs
5553 (list r-knitr))
5554 (home-page "https://bioconductor.org/packages/mzID")
5555 (synopsis "Parser for mzIdentML files")
5556 (description
5557 "This package provides a parser for mzIdentML files implemented using the
5558 XML package. The parser tries to be general and able to handle all types of
5559 mzIdentML files with the drawback of having less pretty output than a vendor
5560 specific parser.")
5561 (license license:gpl2+)))
5562
5563 (define-public r-mzr
5564 (package
5565 (name "r-mzr")
5566 (version "2.30.0")
5567 (source
5568 (origin
5569 (method url-fetch)
5570 (uri (bioconductor-uri "mzR" version))
5571 (sha256
5572 (base32
5573 "1dqa03hb42kbqfg15ksijdkyf9pr54gcl3in4mzjkld5sdi8ncds"))
5574 (modules '((guix build utils)))
5575 (snippet
5576 '(delete-file-recursively "src/boost"))))
5577 (properties `((upstream-name . "mzR")))
5578 (build-system r-build-system)
5579 (arguments
5580 `(#:phases
5581 (modify-phases %standard-phases
5582 (add-after 'unpack 'use-system-boost
5583 (lambda _
5584 (substitute* "src/Makevars"
5585 (("\\./boost/libs.*") "")
5586 (("PKG_LIBS=") "PKG_LIBS=$(BOOST_LIBS) ")
5587 (("\\ARCH_OBJS=" line)
5588 (string-append line
5589 "\nBOOST_LIBS=-lboost_system -lboost_regex \
5590 -lboost_iostreams -lboost_thread -lboost_filesystem -lboost_chrono\n"))))))))
5591 (inputs
5592 (list boost ; use this instead of the bundled boost sources
5593 zlib))
5594 (propagated-inputs
5595 (list r-biobase
5596 r-biocgenerics
5597 r-ncdf4
5598 r-protgenerics
5599 r-rcpp
5600 r-rhdf5lib))
5601 (native-inputs
5602 (list r-knitr))
5603 (home-page "https://github.com/sneumann/mzR/")
5604 (synopsis "Parser for mass spectrometry data files")
5605 (description
5606 "The mzR package provides a unified API to the common file formats and
5607 parsers available for mass spectrometry data. It comes with a wrapper for the
5608 ISB random access parser for mass spectrometry mzXML, mzData and mzML files.
5609 The package contains the original code written by the ISB, and a subset of the
5610 proteowizard library for mzML and mzIdentML. The netCDF reading code has
5611 previously been used in XCMS.")
5612 (license license:artistic2.0)))
5613
5614 (define-public r-organism-dplyr
5615 (package
5616 (name "r-organism-dplyr")
5617 (version "1.24.0")
5618 (source
5619 (origin
5620 (method url-fetch)
5621 (uri (bioconductor-uri "Organism.dplyr" version))
5622 (sha256
5623 (base32
5624 "0j29f85d66c45ww3417xx376vpz0mmvga5n7h2cl1sd4h70b55as"))))
5625 (properties `((upstream-name . "Organism.dplyr")))
5626 (build-system r-build-system)
5627 (propagated-inputs
5628 (list r-annotationdbi
5629 r-annotationfilter
5630 r-biocfilecache
5631 r-dbi
5632 r-dbplyr
5633 r-dplyr
5634 r-genomeinfodb
5635 r-genomicfeatures
5636 r-genomicranges
5637 r-iranges
5638 r-rlang
5639 r-rsqlite
5640 r-s4vectors
5641 r-tibble))
5642 (native-inputs (list r-knitr))
5643 (home-page "https://bioconductor.org/packages/Organism.dplyr")
5644 (synopsis "Dplyr-based access to Bioconductor annotation resources")
5645 (description
5646 "This package provides an alternative interface to Bioconductor @code{
5647 annotation} resources, in particular the gene identifier mapping functionality
5648 of the @code{org} packages (e.g., @code{org.Hs.eg.db}) and the genome coordinate
5649 functionality of the @code{TxDb} packages (e.g.,
5650 @code{TxDb.Hsapiens.UCSC.hg38.knownGene}).")
5651 (license license:artistic2.0)))
5652
5653 (define-public r-organismdbi
5654 (package
5655 (name "r-organismdbi")
5656 (version "1.38.1")
5657 (source
5658 (origin
5659 (method url-fetch)
5660 (uri (bioconductor-uri "OrganismDbi" version))
5661 (sha256
5662 (base32
5663 "0mxnxj8x4hc21psz39mf7qwvh1fsn6qyjgl5qffk1xxmasf69619"))))
5664 (properties `((upstream-name . "OrganismDbi")))
5665 (build-system r-build-system)
5666 (propagated-inputs
5667 (list r-annotationdbi
5668 r-biobase
5669 r-biocgenerics
5670 r-biocmanager
5671 r-dbi
5672 r-genomicfeatures
5673 r-genomicranges
5674 r-graph
5675 r-iranges
5676 r-rbgl
5677 r-s4vectors))
5678 (home-page "https://bioconductor.org/packages/OrganismDbi")
5679 (synopsis "Software to enable the smooth interfacing of database packages")
5680 (description "The package enables a simple unified interface to several
5681 annotation packages each of which has its own schema by taking advantage of
5682 the fact that each of these packages implements a select methods.")
5683 (license license:artistic2.0)))
5684
5685 (define-public r-pcaexplorer
5686 (package
5687 (name "r-pcaexplorer")
5688 (version "2.22.0")
5689 (source
5690 (origin
5691 (method url-fetch)
5692 (uri (bioconductor-uri "pcaExplorer" version))
5693 (sha256
5694 (base32
5695 "0xkafpi6y5n8hljdaj183hd5z4ik7lpbklg2cbx1hwfz4n4hh1bl"))))
5696 (properties `((upstream-name . "pcaExplorer")))
5697 (build-system r-build-system)
5698 (propagated-inputs
5699 (list r-annotationdbi
5700 r-base64enc
5701 r-biomart
5702 r-deseq2
5703 r-dt
5704 r-genefilter
5705 r-genomicranges
5706 r-ggplot2
5707 r-ggrepel
5708 r-go-db
5709 r-gostats
5710 r-heatmaply
5711 r-iranges
5712 r-knitr
5713 r-limma
5714 r-nmf
5715 r-pheatmap
5716 r-plotly
5717 r-plyr
5718 r-rmarkdown
5719 r-s4vectors
5720 r-scales
5721 r-shiny
5722 r-shinyace
5723 r-shinybs
5724 r-shinydashboard
5725 r-summarizedexperiment
5726 r-threejs
5727 r-tidyr
5728 r-topgo))
5729 (native-inputs (list r-knitr))
5730 (home-page "https://github.com/federicomarini/pcaExplorer")
5731 (synopsis
5732 "Interactive Visualization of RNA-seq Data Using a Principal Components Approach")
5733 (description
5734 "This package provides functionality for interactive visualization of RNA-seq
5735 datasets based on Principal Components Analysis. The methods provided allow for
5736 quick information extraction and effective data exploration. A Shiny
5737 application encapsulates the whole analysis.")
5738 (license license:expat)))
5739
5740 (define-public r-pcamethods
5741 (package
5742 (name "r-pcamethods")
5743 (version "1.88.0")
5744 (source
5745 (origin
5746 (method url-fetch)
5747 (uri (bioconductor-uri "pcaMethods" version))
5748 (sha256
5749 (base32
5750 "1087sl7y707zld7zpf3ly51gnmdp93vn90dwa5440v7qawvg2h9b"))))
5751 (properties `((upstream-name . "pcaMethods")))
5752 (build-system r-build-system)
5753 (propagated-inputs
5754 (list r-biobase r-biocgenerics r-mass r-rcpp))
5755 (home-page "https://github.com/hredestig/pcamethods")
5756 (synopsis "Collection of PCA methods")
5757 (description
5758 "This package provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
5759 Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method
5760 for missing value estimation is included for comparison. BPCA, PPCA and
5761 NipalsPCA may be used to perform PCA on incomplete data as well as for
5762 accurate missing value estimation. A set of methods for printing and plotting
5763 the results is also provided. All PCA methods make use of the same data
5764 structure (pcaRes) to provide a common interface to the PCA results.")
5765 (license license:gpl3+)))
5766
5767 ;; This is a CRAN package, but it depends on a Bioconductor package:
5768 ;; r-aroma-light, r-dnacopy..
5769 (define-public r-pscbs
5770 (package
5771 (name "r-pscbs")
5772 (version "0.66.0")
5773 (source
5774 (origin
5775 (method url-fetch)
5776 (uri (cran-uri "PSCBS" version))
5777 (sha256
5778 (base32 "14rs2wywipbkia3dbzfhpnkmfgdvm2bf586lggsx63sywlv5d02q"))))
5779 (properties `((upstream-name . "PSCBS")))
5780 (build-system r-build-system)
5781 (arguments
5782 `(#:phases
5783 (modify-phases %standard-phases
5784 (add-before 'install 'change-home-dir
5785 (lambda _
5786 ;; Change from /homeless-shelter to /tmp for write permission.
5787 (setenv "HOME" "/tmp"))))))
5788 (propagated-inputs
5789 (list r-aroma-light
5790 r-dnacopy
5791 r-future
5792 r-listenv
5793 r-matrixstats
5794 r-r-cache
5795 r-r-methodss3
5796 r-r-oo
5797 r-r-utils))
5798 (native-inputs
5799 (list r-r-rsp ;used to build vignettes
5800 r-r-devices))
5801 (home-page "https://github.com/HenrikBengtsson/PSCBS")
5802 (synopsis "Analysis of parent-specific DNA copy numbers")
5803 (description
5804 "This is a package for segmentation of allele-specific DNA copy number
5805 data and detection of regions with abnormal copy number within each parental
5806 chromosome. Both tumor-normal paired and tumor-only analyses are supported.")
5807 (license license:gpl2+)))
5808
5809 (define-public r-protgenerics
5810 (package
5811 (name "r-protgenerics")
5812 (version "1.28.0")
5813 (source
5814 (origin
5815 (method url-fetch)
5816 (uri (bioconductor-uri "ProtGenerics" version))
5817 (sha256
5818 (base32
5819 "04hcgj4q8dbzp1a29rbww2bxxrg679pgys3m09p0ydkpsx76rq05"))))
5820 (properties `((upstream-name . "ProtGenerics")))
5821 (build-system r-build-system)
5822 (home-page "https://github.com/lgatto/ProtGenerics")
5823 (synopsis "S4 generic functions for proteomics infrastructure")
5824 (description
5825 "This package provides S4 generic functions needed by Bioconductor
5826 proteomics packages.")
5827 (license license:artistic2.0)))
5828
5829 (define-public r-rbgl
5830 (package
5831 (name "r-rbgl")
5832 (version "1.72.0")
5833 (source
5834 (origin
5835 (method url-fetch)
5836 (uri (bioconductor-uri "RBGL" version))
5837 (sha256
5838 (base32
5839 "0ph089vxla49sng0pdwiyh9rpk9i96cbsx5q2jn46jj4x51ijc7y"))))
5840 (properties `((upstream-name . "RBGL")))
5841 (build-system r-build-system)
5842 (propagated-inputs
5843 (list r-bh r-graph))
5844 (home-page "https://www.bioconductor.org/packages/RBGL")
5845 (synopsis "Interface to the Boost graph library")
5846 (description
5847 "This package provides a fairly extensive and comprehensive interface to
5848 the graph algorithms contained in the Boost library.")
5849 (license license:artistic2.0)))
5850
5851 (define-public r-rcas
5852 (package
5853 (name "r-rcas")
5854 (version "1.22.0")
5855 (source (origin
5856 (method url-fetch)
5857 (uri (bioconductor-uri "RCAS" version))
5858 (sha256
5859 (base32
5860 "05sj2ab7bxgf41gkmjaskhqm0198xlir1sw3f73x8rjg14rssmqf"))))
5861 (properties `((upstream-name . "RCAS")))
5862 (build-system r-build-system)
5863 (propagated-inputs
5864 (list r-biocgenerics
5865 r-biostrings
5866 r-bsgenome
5867 r-bsgenome-hsapiens-ucsc-hg19
5868 r-cowplot
5869 r-data-table
5870 r-dt
5871 r-genomation
5872 r-genomeinfodb
5873 r-genomicfeatures
5874 r-genomicranges
5875 r-ggplot2
5876 r-ggseqlogo
5877 r-gprofiler2
5878 r-iranges
5879 r-knitr
5880 r-pbapply
5881 r-pheatmap
5882 r-plotly
5883 r-plotrix
5884 r-proxy
5885 r-ranger
5886 r-rsqlite
5887 r-rtracklayer
5888 r-rmarkdown
5889 r-s4vectors
5890 pandoc))
5891 (native-inputs
5892 (list r-knitr))
5893 (synopsis "RNA-centric annotation system")
5894 (description
5895 "RCAS aims to be a standalone RNA-centric annotation system that provides
5896 intuitive reports and publication-ready graphics. This package provides the R
5897 library implementing most of the pipeline's features.")
5898 (home-page "https://github.com/BIMSBbioinfo/RCAS")
5899 (license license:artistic2.0)))
5900
5901 (define-public r-regioner
5902 (package
5903 (name "r-regioner")
5904 (version "1.28.0")
5905 (source
5906 (origin
5907 (method url-fetch)
5908 (uri (bioconductor-uri "regioneR" version))
5909 (sha256
5910 (base32
5911 "11whi2v211xiz9s7cjl14d8vavlry2fmhvx12rma25wkjmhrpa3f"))))
5912 (properties `((upstream-name . "regioneR")))
5913 (build-system r-build-system)
5914 (propagated-inputs
5915 (list r-biostrings
5916 r-bsgenome
5917 r-genomeinfodb
5918 r-genomicranges
5919 r-iranges
5920 r-memoise
5921 r-rtracklayer
5922 r-s4vectors))
5923 (native-inputs
5924 (list r-knitr))
5925 (home-page "https://bioconductor.org/packages/regioneR/")
5926 (synopsis "Association analysis of genomic regions")
5927 (description "This package offers a statistical framework based on
5928 customizable permutation tests to assess the association between genomic
5929 region sets and other genomic features.")
5930 (license license:artistic2.0)))
5931
5932 (define-public r-reportingtools
5933 (package
5934 (name "r-reportingtools")
5935 (version "2.36.0")
5936 (source
5937 (origin
5938 (method url-fetch)
5939 (uri (bioconductor-uri "ReportingTools" version))
5940 (sha256
5941 (base32
5942 "0r8cdqzfh1jxkghhk3j8x3y9kkmdyg9ibfhsic15jqkmp1im6khh"))))
5943 (properties
5944 `((upstream-name . "ReportingTools")))
5945 (build-system r-build-system)
5946 (propagated-inputs
5947 (list r-annotate
5948 r-annotationdbi
5949 r-biobase
5950 r-biocgenerics
5951 r-category
5952 r-deseq2
5953 r-edger
5954 r-ggbio
5955 r-ggplot2
5956 r-gostats
5957 r-gseabase
5958 r-hwriter
5959 r-iranges
5960 r-knitr
5961 r-lattice
5962 r-limma
5963 r-pfam-db
5964 r-r-utils
5965 r-xml))
5966 (native-inputs
5967 (list r-knitr))
5968 (home-page "https://bioconductor.org/packages/ReportingTools/")
5969 (synopsis "Tools for making reports in various formats")
5970 (description
5971 "The ReportingTools package enables users to easily display reports of
5972 analysis results generated from sources such as microarray and sequencing
5973 data. The package allows users to create HTML pages that may be viewed on a
5974 web browser, or in other formats. Users can generate tables with sortable and
5975 filterable columns, make and display plots, and link table entries to other
5976 data sources such as NCBI or larger plots within the HTML page. Using the
5977 package, users can also produce a table of contents page to link various
5978 reports together for a particular project that can be viewed in a web
5979 browser.")
5980 (license license:artistic2.0)))
5981
5982 (define-public r-rhdf5
5983 (package
5984 (name "r-rhdf5")
5985 (version "2.40.0")
5986 (source (origin
5987 (method url-fetch)
5988 (uri (bioconductor-uri "rhdf5" version))
5989 (sha256
5990 (base32
5991 "00cp90mnb8p83jiflm6x4x0qf4p7gvgh47jk9jry6j3qyvfqaiff"))))
5992 (build-system r-build-system)
5993 (propagated-inputs
5994 (list r-rhdf5filters r-rhdf5lib))
5995 (native-inputs
5996 (list r-knitr))
5997 (home-page "https://bioconductor.org/packages/rhdf5")
5998 (synopsis "HDF5 interface to R")
5999 (description
6000 "This R/Bioconductor package provides an interface between HDF5 and R.
6001 HDF5's main features are the ability to store and access very large and/or
6002 complex datasets and a wide variety of metadata on mass storage (disk) through
6003 a completely portable file format. The rhdf5 package is thus suited for the
6004 exchange of large and/or complex datasets between R and other software
6005 package, and for letting R applications work on datasets that are larger than
6006 the available RAM.")
6007 (license license:artistic2.0)))
6008
6009 (define-public r-rhdf5filters
6010 (package
6011 (name "r-rhdf5filters")
6012 (version "1.8.0")
6013 (source
6014 (origin
6015 (method url-fetch)
6016 (uri (bioconductor-uri "rhdf5filters" version))
6017 (sha256
6018 (base32
6019 "1ipg0v8nqz1imj63scqmpiswcxbl4ankg3knfq4p06ic6ypbbmvs"))))
6020 (properties `((upstream-name . "rhdf5filters")))
6021 (build-system r-build-system)
6022 (propagated-inputs
6023 (list r-rhdf5lib))
6024 (inputs
6025 (list zlib))
6026 (native-inputs
6027 (list r-knitr))
6028 (home-page "https://github.com/grimbough/rhdf5filters")
6029 (synopsis "HDF5 compression filters")
6030 (description
6031 "This package provides a collection of compression filters for use with
6032 HDF5 datasets.")
6033 (license license:bsd-2)))
6034
6035 (define-public r-rsamtools
6036 (package
6037 (name "r-rsamtools")
6038 (version "2.12.0")
6039 (source (origin
6040 (method url-fetch)
6041 (uri (bioconductor-uri "Rsamtools" version))
6042 (sha256
6043 (base32
6044 "1wll703if12qrn0d11ljwf7rqhs4lb27fzyyz1hqwvzn3v361s10"))))
6045 (properties
6046 `((upstream-name . "Rsamtools")))
6047 (build-system r-build-system)
6048 (arguments
6049 `(#:phases
6050 (modify-phases %standard-phases
6051 (add-after 'unpack 'use-system-zlib
6052 (lambda _
6053 (substitute* "DESCRIPTION"
6054 (("zlibbioc, ") ""))
6055 (substitute* "NAMESPACE"
6056 (("import\\(zlibbioc\\)") "")))))))
6057 (propagated-inputs
6058 (list r-biocgenerics
6059 r-biocparallel
6060 r-biostrings
6061 r-bitops
6062 r-genomeinfodb
6063 r-genomicranges
6064 r-iranges
6065 r-rhtslib
6066 r-s4vectors
6067 r-xvector))
6068 (home-page "https://bioconductor.org/packages/release/bioc/html/Rsamtools.html")
6069 (synopsis "Interface to samtools, bcftools, and tabix")
6070 (description
6071 "This package provides an interface to the @code{samtools},
6072 @code{bcftools}, and @code{tabix} utilities for manipulating SAM (Sequence
6073 Alignment / Map), FASTA, binary variant call (BCF) and compressed indexed
6074 tab-delimited (tabix) files.")
6075 (license license:expat)))
6076
6077 ;; This is a CRAN package, but it depends on a Bioconductor package:
6078 ;; s4vectors.
6079 (define-public r-restfulr
6080 (package
6081 (name "r-restfulr")
6082 (version "0.0.15")
6083 (source
6084 (origin
6085 (method url-fetch)
6086 (uri (cran-uri "restfulr" version))
6087 (sha256
6088 (base32
6089 "14p6h0gjknqy5z2fprxw7waf4p0cd2qmp18s7qig4ylqn8gqzzs0"))))
6090 (properties `((upstream-name . "restfulr")))
6091 (build-system r-build-system)
6092 (propagated-inputs
6093 (list r-rcurl r-rjson r-s4vectors r-xml r-yaml))
6094 (home-page "https://cran.r-project.org/package=restfulr")
6095 (synopsis "R interface to RESTful web services")
6096 (description
6097 "This package models a RESTful service as if it were a nested R list.")
6098 (license license:artistic2.0)))
6099
6100 (define-public r-rtracklayer
6101 (package
6102 (name "r-rtracklayer")
6103 (version "1.56.1")
6104 (source (origin
6105 (method url-fetch)
6106 (uri (bioconductor-uri "rtracklayer" version))
6107 (sha256
6108 (base32
6109 "10qy9s6253mgj871qfqn03i8yw10mz7id4cxfyf67qxczz2xmjls"))))
6110 (build-system r-build-system)
6111 (arguments
6112 `(#:phases
6113 (modify-phases %standard-phases
6114 (add-after 'unpack 'use-system-zlib
6115 (lambda _
6116 (substitute* "DESCRIPTION"
6117 ((" zlibbioc,") ""))
6118 (substitute* "NAMESPACE"
6119 (("import\\(zlibbioc\\)") "")))))))
6120 (native-inputs
6121 (list pkg-config))
6122 (inputs
6123 (list zlib))
6124 (propagated-inputs
6125 (list r-biocgenerics
6126 r-biocio
6127 r-biostrings
6128 r-genomeinfodb
6129 r-genomicalignments
6130 r-genomicranges
6131 r-iranges
6132 r-rcurl
6133 r-restfulr
6134 r-rsamtools
6135 r-s4vectors
6136 r-xml
6137 r-xvector
6138 r-zlibbioc))
6139 (home-page "https://bioconductor.org/packages/rtracklayer")
6140 (synopsis "R interface to genome browsers and their annotation tracks")
6141 (description
6142 "rtracklayer is an extensible framework for interacting with multiple
6143 genome browsers (currently UCSC built-in) and manipulating annotation tracks
6144 in various formats (currently GFF, BED, bedGraph, BED15, WIG, BigWig and 2bit
6145 built-in). The user may export/import tracks to/from the supported browsers,
6146 as well as query and modify the browser state, such as the current viewport.")
6147 (license license:artistic2.0)))
6148
6149 ;; This is a CRAN package, but it depends on a Bioconductor package.
6150 (define-public r-samr
6151 (package
6152 (name "r-samr")
6153 (version "3.0")
6154 (source
6155 (origin
6156 (method url-fetch)
6157 (uri (cran-uri "samr" version))
6158 (sha256
6159 (base32
6160 "01km0f7qgm73x19vbvsxl083hs1dq4dj8qm5h64cxbf20b08my15"))))
6161 (properties `((upstream-name . "samr")))
6162 (build-system r-build-system)
6163 (propagated-inputs
6164 (list r-gsa
6165 r-impute
6166 r-matrixstats
6167 r-openxlsx
6168 r-shiny
6169 r-shinyfiles))
6170 (native-inputs (list gfortran))
6171 (home-page "https://statweb.stanford.edu/~tibs/SAM/")
6172 (synopsis "Significance analysis of Microarrays")
6173 (description
6174 "This is a package for significance analysis of Microarrays for
6175 differential expression analysis, RNAseq data and related problems.")
6176 ;; Any version of the LGPL
6177 (license license:lgpl3+)))
6178
6179 (define-public r-scannotatr
6180 (package
6181 (name "r-scannotatr")
6182 (version "1.2.0")
6183 (source
6184 (origin
6185 (method url-fetch)
6186 (uri (bioconductor-uri "scAnnotatR" version))
6187 (sha256
6188 (base32 "067q57kabhqd1z8l3d91fw74aaw89nb48gm6fll4hv00nqza3n5b"))))
6189 (properties `((upstream-name . "scAnnotatR")))
6190 (build-system r-build-system)
6191 (propagated-inputs
6192 (list r-annotationhub
6193 r-ape
6194 r-caret
6195 r-data-tree
6196 r-dplyr
6197 r-e1071
6198 r-ggplot2
6199 r-kernlab
6200 r-proc
6201 r-rocr
6202 r-seurat
6203 r-singlecellexperiment
6204 r-summarizedexperiment))
6205 (native-inputs (list r-knitr))
6206 (home-page "https://github.com/grisslab/scAnnotatR")
6207 (synopsis "Pretrained models for prediction on single cell RNA-sequencing data")
6208 (description
6209 "This package comprises a set of pretrained machine learning models to
6210 predict basic immune cell types. This enables to quickly get a first
6211 annotation of the cell types present in the dataset without requiring prior
6212 knowledge. The package also lets you train using own models to predict new
6213 cell types based on specific research needs.")
6214 (license license:expat)))
6215
6216 (define-public r-scdblfinder
6217 (package
6218 (name "r-scdblfinder")
6219 (version "1.10.0")
6220 (source
6221 (origin
6222 (method url-fetch)
6223 (uri (bioconductor-uri "scDblFinder" version))
6224 (sha256
6225 (base32 "0y14dvdm16b3bvlrnz03adfylm1kj6jrp2fwciyldij2lfal90y0"))))
6226 (properties `((upstream-name . "scDblFinder")))
6227 (build-system r-build-system)
6228 (propagated-inputs
6229 (list r-biocgenerics
6230 r-biocneighbors
6231 r-biocparallel
6232 r-biocsingular
6233 r-bluster
6234 r-delayedarray
6235 r-genomeinfodb
6236 r-genomicranges
6237 r-igraph
6238 r-iranges
6239 r-mass
6240 r-matrix
6241 r-rsamtools
6242 r-rtracklayer
6243 r-s4vectors
6244 r-scater
6245 r-scran
6246 r-scuttle
6247 r-singlecellexperiment
6248 r-summarizedexperiment
6249 r-xgboost))
6250 (native-inputs (list r-knitr))
6251 (home-page "https://github.com/plger/scDblFinder")
6252 (synopsis "Detect multiplets in single-cell RNA sequencing data")
6253 (description
6254 "The scDblFinder package gathers various methods for the detection and
6255 handling of doublets/multiplets in single-cell RNA sequencing data (i.e.
6256 multiple cells captured within the same droplet or reaction volume). It
6257 includes methods formerly found in the scran package, and the new fast and
6258 comprehensive scDblFinder method.")
6259 (license license:gpl3)))
6260
6261 (define-public r-scmap
6262 (package
6263 (name "r-scmap")
6264 (version "1.18.0")
6265 (source
6266 (origin
6267 (method url-fetch)
6268 (uri (bioconductor-uri "scmap" version))
6269 (sha256
6270 (base32 "0pfwaa9pgml11b84rpf7afdkmg8kxb4srgpc56571vaz388xrv7l"))))
6271 (properties `((upstream-name . "scmap")))
6272 (build-system r-build-system)
6273 (propagated-inputs
6274 (list r-biobase
6275 r-biocgenerics
6276 r-dplyr
6277 r-e1071
6278 r-ggplot2
6279 r-googlevis
6280 r-matrixstats
6281 r-proxy
6282 r-randomforest
6283 r-rcpp
6284 r-rcpparmadillo
6285 r-reshape2
6286 r-s4vectors
6287 r-singlecellexperiment
6288 r-summarizedexperiment))
6289 (native-inputs (list r-knitr))
6290 (home-page "https://github.com/hemberg-lab/scmap")
6291 (synopsis "Tool for unsupervised projection of single cell RNA-seq data")
6292 (description
6293 "@dfn{Single-cell RNA-seq} (scRNA-seq) is widely used to investigate the
6294 composition of complex tissues since the technology allows researchers to
6295 define cell-types using unsupervised clustering of the transcriptome.
6296 However, due to differences in experimental methods and computational
6297 analyses, it is often challenging to directly compare the cells identified in
6298 two different experiments. @code{scmap} is a method for projecting cells from
6299 a scRNA-seq experiment onto the cell-types or individual cells identified in a
6300 different experiment.")
6301 (license license:gpl3)))
6302
6303 (define-public r-scry
6304 (package
6305 (name "r-scry")
6306 (version "1.8.0")
6307 (source (origin
6308 (method url-fetch)
6309 (uri (bioconductor-uri "scry" version))
6310 (sha256
6311 (base32
6312 "16mj21r91jy8ircdz8rfrdli9gjy0hrx90kf6ghs305d3d4dl193"))))
6313 (properties `((upstream-name . "scry")))
6314 (build-system r-build-system)
6315 (propagated-inputs
6316 (list r-biocsingular
6317 r-delayedarray
6318 r-glmpca
6319 r-hdf5array
6320 r-matrix
6321 r-singlecellexperiment
6322 r-summarizedexperiment))
6323 (native-inputs (list r-knitr))
6324 (home-page "https://bioconductor.org/packages/scry.html")
6325 (synopsis "Small-count analysis methods for high-dimensional data")
6326 (description
6327 "Many modern biological datasets consist of small counts that are not
6328 well fit by standard linear-Gaussian methods such as principal component
6329 analysis. This package provides implementations of count-based feature
6330 selection and dimension reduction algorithms. These methods can be used to
6331 facilitate unsupervised analysis of any high-dimensional data such as
6332 single-cell RNA-seq.")
6333 (license license:artistic2.0)))
6334
6335 (define-public r-seqlogo
6336 (package
6337 (name "r-seqlogo")
6338 (version "1.62.0")
6339 (source
6340 (origin
6341 (method url-fetch)
6342 (uri (bioconductor-uri "seqLogo" version))
6343 (sha256
6344 (base32
6345 "1lk3238m17acmd6lgjjbpscyxw8fm63wv34kbbr478wcih1wbwxr"))))
6346 (properties `((upstream-name . "seqLogo")))
6347 (build-system r-build-system)
6348 (native-inputs
6349 (list r-knitr))
6350 (home-page "https://bioconductor.org/packages/seqLogo")
6351 (synopsis "Sequence logos for DNA sequence alignments")
6352 (description
6353 "seqLogo takes the position weight matrix of a DNA sequence motif and
6354 plots the corresponding sequence logo as introduced by Schneider and
6355 Stephens (1990).")
6356 (license license:lgpl2.0+)))
6357
6358 (define-public r-seqpattern
6359 (package
6360 (name "r-seqpattern")
6361 (version "1.28.0")
6362 (source (origin
6363 (method url-fetch)
6364 (uri (bioconductor-uri "seqPattern" version))
6365 (sha256
6366 (base32
6367 "0nrrlr1nl9zxmp88qq8jn7wgmda6jh0xvp4nph94w4nwjsyb7xqn"))))
6368 (properties
6369 `((upstream-name . "seqPattern")))
6370 (build-system r-build-system)
6371 (propagated-inputs
6372 (list r-biostrings r-genomicranges r-iranges r-kernsmooth r-plotrix))
6373 (home-page "https://bioconductor.org/packages/seqPattern")
6374 (synopsis "Visualising oligonucleotide patterns and motif occurrences")
6375 (description
6376 "This package provides tools to visualize oligonucleotide patterns and
6377 sequence motif occurrences across a large set of sequences centred at a common
6378 reference point and sorted by a user defined feature.")
6379 (license license:gpl3+)))
6380
6381 (define-public r-shortread
6382 (package
6383 (name "r-shortread")
6384 (version "1.54.0")
6385 (source
6386 (origin
6387 (method url-fetch)
6388 (uri (bioconductor-uri "ShortRead" version))
6389 (sha256
6390 (base32
6391 "0303198b4v2wjah9kc829kn01030996l6di4jpf8q5ccd212rjhq"))))
6392 (properties `((upstream-name . "ShortRead")))
6393 (build-system r-build-system)
6394 (inputs
6395 (list zlib))
6396 (propagated-inputs
6397 (list r-biobase
6398 r-biocgenerics
6399 r-biocparallel
6400 r-biostrings
6401 r-genomeinfodb
6402 r-genomicalignments
6403 r-genomicranges
6404 r-rhtslib
6405 r-hwriter
6406 r-iranges
6407 r-lattice
6408 r-latticeextra
6409 r-rsamtools
6410 r-s4vectors
6411 r-xvector
6412 r-zlibbioc))
6413 (home-page "https://bioconductor.org/packages/ShortRead")
6414 (synopsis "FASTQ input and manipulation tools")
6415 (description
6416 "This package implements sampling, iteration, and input of FASTQ files.
6417 It includes functions for filtering and trimming reads, and for generating a
6418 quality assessment report. Data are represented as
6419 @code{DNAStringSet}-derived objects, and easily manipulated for a diversity of
6420 purposes. The package also contains legacy support for early single-end,
6421 ungapped alignment formats.")
6422 (license license:artistic2.0)))
6423
6424 (define-public r-simplifyenrichment
6425 (package
6426 (name "r-simplifyenrichment")
6427 (version "1.6.1")
6428 (source
6429 (origin
6430 (method url-fetch)
6431 (uri (bioconductor-uri "simplifyEnrichment" version))
6432 (sha256
6433 (base32
6434 "0qblgdxmr7zc981529cca3ykakql618q1im6gaxw8pwws5jgpyk6"))))
6435 (properties
6436 `((upstream-name . "simplifyEnrichment")))
6437 (build-system r-build-system)
6438 (propagated-inputs
6439 (list r-annotationdbi
6440 r-biocgenerics
6441 r-circlize
6442 r-clue
6443 r-cluster
6444 r-colorspace
6445 r-complexheatmap
6446 r-digest
6447 r-getoptlong
6448 r-globaloptions
6449 r-go-db
6450 r-gosemsim
6451 r-matrix
6452 r-org-hs-eg-db
6453 r-proxyc
6454 r-slam
6455 r-tm))
6456 (native-inputs (list r-knitr))
6457 (home-page "https://github.com/jokergoo/simplifyEnrichment")
6458 (synopsis "Simplify functional enrichment results")
6459 (description "This package provides a new clustering algorithm, binary
6460 cut, for clustering similarity matrices of functional terms is implemented in
6461 this package. It also provides functionalities for visualizing, summarizing
6462 and comparing the clusterings.")
6463 (license license:expat)))
6464
6465 (define-public r-transcriptr
6466 (package
6467 (name "r-transcriptr")
6468 (version "1.24.0")
6469 (source
6470 (origin
6471 (method url-fetch)
6472 (uri (bioconductor-uri "transcriptR" version))
6473 (sha256
6474 (base32 "1zc6aasd5nzwl9jxr0rdriiq85adqdbfi5b9m3jyf69pa71sgy03"))))
6475 (properties `((upstream-name . "transcriptR")))
6476 (build-system r-build-system)
6477 (propagated-inputs
6478 (list r-biocgenerics
6479 r-caret
6480 r-chipseq
6481 r-e1071
6482 r-genomeinfodb
6483 r-genomicalignments
6484 r-genomicfeatures
6485 r-genomicranges
6486 r-ggplot2
6487 r-iranges
6488 r-proc
6489 r-reshape2
6490 r-rsamtools
6491 r-rtracklayer
6492 r-s4vectors))
6493 (native-inputs (list r-knitr))
6494 (home-page "https://bioconductor.org/packages/transcriptR")
6495 (synopsis "Primary transcripts detection and quantification")
6496 (description
6497 "The differences in the RNA types being sequenced have an impact on the
6498 resulting sequencing profiles. mRNA-seq data is enriched with reads derived
6499 from exons, while GRO-, nucRNA- and chrRNA-seq demonstrate a substantial
6500 broader coverage of both exonic and intronic regions. The presence of
6501 intronic reads in GRO-seq type of data makes it possible to use it to
6502 computationally identify and quantify all de novo continuous regions of
6503 transcription distributed across the genome. This type of data, however, is
6504 more challenging to interpret and less common practice compared to mRNA-seq.
6505 One of the challenges for primary transcript detection concerns the
6506 simultaneous transcription of closely spaced genes, which needs to be properly
6507 divided into individually transcribed units. The R package transcriptR
6508 combines RNA-seq data with ChIP-seq data of histone modifications that mark
6509 active Transcription Start Sites (TSSs), such as, H3K4me3 or H3K9/14Ac to
6510 overcome this challenge. The advantage of this approach over the use of, for
6511 example, gene annotations is that this approach is data driven and therefore
6512 able to deal also with novel and case specific events.")
6513 (license license:gpl3)))
6514
6515 (define-public r-trajectoryutils
6516 (package
6517 (name "r-trajectoryutils")
6518 (version "1.4.0")
6519 (source
6520 (origin
6521 (method url-fetch)
6522 (uri (bioconductor-uri "TrajectoryUtils" version))
6523 (sha256
6524 (base32
6525 "07hcr3zplxlzlwc13wh9006m5kaqm57cm1b2x74bpp857f2q93dj"))))
6526 (properties
6527 `((upstream-name . "TrajectoryUtils")))
6528 (build-system r-build-system)
6529 (propagated-inputs
6530 (list r-igraph r-matrix r-s4vectors r-singlecellexperiment
6531 r-summarizedexperiment))
6532 (native-inputs (list r-knitr))
6533 (home-page "https://bioconductor.org/packages/TrajectoryUtils")
6534 (synopsis "Single-cell trajectory analysis utilities")
6535 (description
6536 "This package implements low-level utilities for single-cell trajectory
6537 analysis, primarily intended for re-use inside higher-level packages. It
6538 includes a function to create a cluster-level minimum spanning tree and data
6539 structures to hold pseudotime inference results.")
6540 (license license:gpl3)))
6541
6542 (define-public r-slingshot
6543 (package
6544 (name "r-slingshot")
6545 (version "2.4.0")
6546 (source (origin
6547 (method url-fetch)
6548 (uri (bioconductor-uri "slingshot" version))
6549 (sha256
6550 (base32
6551 "0xapi66l5z2qdqns3fcjqcjal6npqj7rxra60lwjvbrq49pq69p2"))))
6552 (build-system r-build-system)
6553 (propagated-inputs
6554 (list r-igraph
6555 r-matrixstats
6556 r-princurve
6557 r-s4vectors
6558 r-singlecellexperiment
6559 r-summarizedexperiment
6560 r-trajectoryutils))
6561 (native-inputs
6562 (list r-knitr))
6563 (home-page "https://bioconductor.org/packages/slingshot")
6564 (synopsis "Tools for ordering single-cell sequencing")
6565 (description "This package provides functions for inferring continuous,
6566 branching lineage structures in low-dimensional data. Slingshot was designed
6567 to model developmental trajectories in single-cell RNA sequencing data and
6568 serve as a component in an analysis pipeline after dimensionality reduction
6569 and clustering. It is flexible enough to handle arbitrarily many branching
6570 events and allows for the incorporation of prior knowledge through supervised
6571 graph construction.")
6572 (license license:artistic2.0)))
6573
6574 (define-public r-stager
6575 (package
6576 (name "r-stager")
6577 (version "1.18.0")
6578 (source
6579 (origin
6580 (method url-fetch)
6581 (uri (bioconductor-uri "stageR" version))
6582 (sha256
6583 (base32 "0ns3ih6l4na6irshrc5iy4d9qf7hrnqq3ndnlcjb2i1cn38l2w9y"))))
6584 (properties `((upstream-name . "stageR")))
6585 (build-system r-build-system)
6586 (propagated-inputs (list r-summarizedexperiment))
6587 (native-inputs (list r-knitr))
6588 (home-page "https://bioconductor.org/packages/stageR")
6589 (synopsis "Stage-wise analysis of high throughput gene expression data")
6590 (description
6591 "The stageR package allows automated stage-wise analysis of
6592 high-throughput gene expression data. The method is published in Genome
6593 Biology at
6594 @url{https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1277-0}.")
6595 (license license:gpl3)))
6596
6597 (define-public r-stringdb
6598 (package
6599 (name "r-stringdb")
6600 (version "2.8.4")
6601 (source
6602 (origin
6603 (method url-fetch)
6604 (uri (bioconductor-uri "STRINGdb" version))
6605 (sha256
6606 (base32 "1jn6080v6097zpqsr4gfbx31gqqdhpzjrk63avk3v3xwawmf2379"))))
6607 (properties `((upstream-name . "STRINGdb")))
6608 (build-system r-build-system)
6609 (propagated-inputs
6610 (list r-gplots
6611 r-hash
6612 r-igraph
6613 r-plotrix
6614 r-plyr
6615 r-png
6616 r-rcolorbrewer
6617 r-rcurl
6618 r-sqldf))
6619 (home-page "https://git.bioconductor.org/packages/STRINGdb")
6620 (synopsis "Search tool for the retrieval of interacting proteins database")
6621 (description
6622 "The @code{STRINGdb} package provides an R interface to the STRING
6623 protein-protein interactions database. @url{https://www.string-db.org,
6624 STRING} is a database of known and predicted protein-protein interactions.
6625 The interactions include direct (physical) and indirect (functional)
6626 associations. Each interaction is associated with a combined confidence score
6627 that integrates the various evidences.")
6628 (license license:gpl2)))
6629
6630 (define-public r-structuralvariantannotation
6631 (package
6632 (name "r-structuralvariantannotation")
6633 (version "1.12.0")
6634 (source
6635 (origin
6636 (method url-fetch)
6637 (uri (bioconductor-uri "StructuralVariantAnnotation" version))
6638 (sha256
6639 (base32 "0f3x74ic3blg8nm5xlv79k0n8j3fpl98mmhfanqfzmdl0g3j6wx6"))))
6640 (build-system r-build-system)
6641 (propagated-inputs
6642 (list r-assertthat
6643 r-biocgenerics
6644 r-biostrings
6645 r-dplyr
6646 r-genomeinfodb
6647 r-genomicfeatures
6648 r-genomicranges
6649 r-iranges
6650 r-rlang
6651 r-rtracklayer
6652 r-s4vectors
6653 r-stringr
6654 r-summarizedexperiment
6655 r-variantannotation))
6656 (native-inputs
6657 (list r-knitr))
6658 (home-page "https://bioconductor.org/packages/StructuralVariantAnnotation/")
6659 (synopsis "R package designed to simplify structural variant analysis")
6660 (description
6661 "This package contains useful helper functions for dealing with structural
6662 variants in VCF format. The packages contains functions for parsing VCFs from
6663 a number of popular callers as well as functions for dealing with breakpoints
6664 involving two separate genomic loci encoded as GRanges objects.")
6665 (license license:gpl3)))
6666
6667 (define-public r-summarizedexperiment
6668 (package
6669 (name "r-summarizedexperiment")
6670 (version "1.26.1")
6671 (source (origin
6672 (method url-fetch)
6673 (uri (bioconductor-uri "SummarizedExperiment" version))
6674 (sha256
6675 (base32
6676 "02vlqzmslyijs09jl0gdjxqjjnnl4yqbqqqlb4vb7nr0fspmyz39"))))
6677 (properties
6678 `((upstream-name . "SummarizedExperiment")))
6679 (build-system r-build-system)
6680 (propagated-inputs
6681 (list r-biobase
6682 r-biocgenerics
6683 r-delayedarray
6684 r-genomeinfodb
6685 r-genomicranges
6686 r-iranges
6687 r-matrix
6688 r-matrixgenerics
6689 r-s4vectors))
6690 (native-inputs
6691 (list r-knitr))
6692 (home-page "https://bioconductor.org/packages/SummarizedExperiment")
6693 (synopsis "Container for representing genomic ranges by sample")
6694 (description
6695 "The SummarizedExperiment container contains one or more assays, each
6696 represented by a matrix-like object of numeric or other mode. The rows
6697 typically represent genomic ranges of interest and the columns represent
6698 samples.")
6699 (license license:artistic2.0)))
6700
6701 (define-public r-sva
6702 (package
6703 (name "r-sva")
6704 (version "3.44.0")
6705 (source
6706 (origin
6707 (method url-fetch)
6708 (uri (bioconductor-uri "sva" version))
6709 (sha256
6710 (base32
6711 "0ka259rn0la0hjslj7w24q1dyyh79h84nw6mxp7armqbfjb207a4"))))
6712 (build-system r-build-system)
6713 (propagated-inputs
6714 (list r-edger
6715 r-genefilter
6716 r-mgcv
6717 r-biocparallel
6718 r-matrixstats
6719 r-limma))
6720 (home-page "https://bioconductor.org/packages/sva")
6721 (synopsis "Surrogate variable analysis")
6722 (description
6723 "This package contains functions for removing batch effects and other
6724 unwanted variation in high-throughput experiment. It also contains functions
6725 for identifying and building surrogate variables for high-dimensional data
6726 sets. Surrogate variables are covariates constructed directly from
6727 high-dimensional data like gene expression/RNA sequencing/methylation/brain
6728 imaging data that can be used in subsequent analyses to adjust for unknown,
6729 unmodeled, or latent sources of noise.")
6730 (license license:artistic2.0)))
6731
6732 (define-public r-systempiper
6733 (package
6734 (name "r-systempiper")
6735 (version "2.2.2")
6736 (source
6737 (origin
6738 (method url-fetch)
6739 (uri (bioconductor-uri "systemPipeR" version))
6740 (sha256
6741 (base32
6742 "1yybbff29gwv6rm0nw4yjw73bbl5prfj8gj4zky917smjfd459im"))))
6743 (properties `((upstream-name . "systemPipeR")))
6744 (build-system r-build-system)
6745 (propagated-inputs
6746 (list r-biocgenerics
6747 r-biostrings
6748 r-crayon
6749 r-genomicranges
6750 r-ggplot2
6751 r-htmlwidgets
6752 r-magrittr
6753 r-rsamtools
6754 r-s4vectors
6755 r-shortread
6756 r-stringr
6757 r-summarizedexperiment
6758 r-yaml))
6759 (native-inputs
6760 (list r-knitr))
6761 (home-page "https://github.com/tgirke/systemPipeR")
6762 (synopsis "Next generation sequencing workflow and reporting environment")
6763 (description
6764 "This R package provides tools for building and running automated
6765 end-to-end analysis workflows for a wide range of @dfn{next generation
6766 sequence} (NGS) applications such as RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq.
6767 Important features include a uniform workflow interface across different NGS
6768 applications, automated report generation, and support for running both R and
6769 command-line software, such as NGS aligners or peak/variant callers, on local
6770 computers or compute clusters. Efficient handling of complex sample sets and
6771 experimental designs is facilitated by a consistently implemented sample
6772 annotation infrastructure.")
6773 (license license:artistic2.0)))
6774
6775 (define-public r-topgo
6776 (package
6777 (name "r-topgo")
6778 (version "2.48.0")
6779 (source (origin
6780 (method url-fetch)
6781 (uri (bioconductor-uri "topGO" version))
6782 (sha256
6783 (base32
6784 "125r42ymk1irjmwk4sywjkcshs71s26p3zsvryfdvf56k5w162v6"))))
6785 (properties
6786 `((upstream-name . "topGO")))
6787 (build-system r-build-system)
6788 (propagated-inputs
6789 (list r-annotationdbi
6790 r-dbi
6791 r-biobase
6792 r-biocgenerics
6793 r-go-db
6794 r-graph
6795 r-lattice
6796 r-matrixstats
6797 r-sparsem))
6798 (home-page "https://bioconductor.org/packages/topGO")
6799 (synopsis "Enrichment analysis for gene ontology")
6800 (description
6801 "The topGO package provides tools for testing @dfn{gene ontology} (GO)
6802 terms while accounting for the topology of the GO graph. Different test
6803 statistics and different methods for eliminating local similarities and
6804 dependencies between GO terms can be implemented and applied.")
6805 ;; Any version of the LGPL applies.
6806 (license license:lgpl2.1+)))
6807
6808 (define-public r-tximport
6809 (package
6810 (name "r-tximport")
6811 (version "1.24.0")
6812 (source (origin
6813 (method url-fetch)
6814 (uri (bioconductor-uri "tximport" version))
6815 (sha256
6816 (base32
6817 "1cnra82pvwz79a1hkw0phc6aa3v43r5p4nx8xyx5wzmkd7rjkc8x"))))
6818 (build-system r-build-system)
6819 (native-inputs
6820 (list r-knitr))
6821 (home-page "https://bioconductor.org/packages/tximport")
6822 (synopsis "Import and summarize transcript-level estimates for gene-level analysis")
6823 (description
6824 "This package provides tools to import transcript-level abundance,
6825 estimated counts and transcript lengths, and to summarize them into matrices
6826 for use with downstream gene-level analysis packages. Average transcript
6827 length, weighted by sample-specific transcript abundance estimates, is
6828 provided as a matrix which can be used as an offset for different expression
6829 of gene-level counts.")
6830 (license license:gpl2+)))
6831
6832 ;; This is a CRAN package, but it depends on a Bioconductor package.
6833 (define-public r-valr
6834 (package
6835 (name "r-valr")
6836 (version "0.6.5")
6837 (source
6838 (origin
6839 (method url-fetch)
6840 (uri (cran-uri "valr" version))
6841 (sha256
6842 (base32
6843 "1674sqclgi4l5r544pjjsblzl1ix2cy961jpkncb3ym47y6c1msw"))))
6844 (build-system r-build-system)
6845 (propagated-inputs
6846 (list r-broom
6847 r-dplyr
6848 r-ggplot2
6849 r-rcpp
6850 r-readr
6851 r-rlang
6852 r-rtracklayer ;bioconductor package
6853 r-stringr
6854 r-tibble))
6855 (native-inputs
6856 (list r-knitr))
6857 (home-page "https://github.com/rnabioco/valr")
6858 (synopsis "Genome interval arithmetic in R")
6859 (description
6860 "This package enables you to read and manipulate genome intervals and
6861 signals. It provides functionality similar to command-line tool suites within
6862 R, enabling interactive analysis and visualization of genome-scale data.")
6863 (license license:expat)))
6864
6865 (define-public r-variantannotation
6866 (package
6867 (name "r-variantannotation")
6868 (version "1.42.1")
6869 (source (origin
6870 (method url-fetch)
6871 (uri (bioconductor-uri "VariantAnnotation" version))
6872 (sha256
6873 (base32
6874 "12d5hkx6pby6l2asyg4jp4jb2x17ybwhqd55rl64h37mwcndbdg1"))))
6875 (properties
6876 `((upstream-name . "VariantAnnotation")))
6877 (propagated-inputs
6878 (list r-annotationdbi
6879 r-biobase
6880 r-biocgenerics
6881 r-biostrings
6882 r-bsgenome
6883 r-dbi
6884 r-genomeinfodb
6885 r-genomicfeatures
6886 r-genomicranges
6887 r-iranges
6888 r-matrixgenerics
6889 r-summarizedexperiment
6890 r-rhtslib
6891 r-rsamtools
6892 r-rtracklayer
6893 r-s4vectors
6894 r-xvector
6895 r-zlibbioc))
6896 (build-system r-build-system)
6897 (home-page "https://bioconductor.org/packages/VariantAnnotation")
6898 (synopsis "Package for annotation of genetic variants")
6899 (description "This R package can annotate variants, compute amino acid
6900 coding changes and predict coding outcomes.")
6901 (license license:artistic2.0)))
6902
6903 (define-public r-vsn
6904 (package
6905 (name "r-vsn")
6906 (version "3.64.0")
6907 (source
6908 (origin
6909 (method url-fetch)
6910 (uri (bioconductor-uri "vsn" version))
6911 (sha256
6912 (base32
6913 "1ja7vdjvgx671l57f9fzfn4vc6q7xzfmqs4krg2rdyfaaf531gqf"))))
6914 (build-system r-build-system)
6915 (propagated-inputs
6916 (list r-affy r-biobase r-ggplot2 r-lattice r-limma))
6917 (native-inputs
6918 (list r-knitr)) ; for vignettes
6919 (home-page "https://bioconductor.org/packages/release/bioc/html/vsn.html")
6920 (synopsis "Variance stabilization and calibration for microarray data")
6921 (description
6922 "The package implements a method for normalising microarray intensities,
6923 and works for single- and multiple-color arrays. It can also be used for data
6924 from other technologies, as long as they have similar format. The method uses
6925 a robust variant of the maximum-likelihood estimator for an
6926 additive-multiplicative error model and affine calibration. The model
6927 incorporates data calibration step (a.k.a. normalization), a model for the
6928 dependence of the variance on the mean intensity and a variance stabilizing
6929 data transformation. Differences between transformed intensities are
6930 analogous to \"normalized log-ratios\". However, in contrast to the latter,
6931 their variance is independent of the mean, and they are usually more sensitive
6932 and specific in detecting differential transcription.")
6933 (license license:artistic2.0)))
6934
6935 ;; There is no source tarball, so we fetch the code from the Bioconductor git
6936 ;; repository.
6937 (define-public r-xcir
6938 (let ((commit "3b59d456f2ad7f70285915b036b1dc4279687277")
6939 (revision "1"))
6940 (package
6941 (name "r-xcir")
6942 (version (git-version "1.8.0" revision commit))
6943 (source (origin
6944 (method git-fetch)
6945 (uri (git-reference
6946 (url "https://git.bioconductor.org/packages/XCIR")
6947 (commit commit)))
6948 (file-name (git-file-name name version))
6949 (sha256
6950 (base32
6951 "1xxw5ady5j2p7z7zjxgx7lhm85x7fxbljiv49lc2ghsvh9wm937p"))))
6952 (properties `((upstream-name . "XCIR")))
6953 (build-system r-build-system)
6954 (propagated-inputs (list r-biomart
6955 r-biostrings
6956 r-data-table
6957 r-ggplot2
6958 r-iranges
6959 r-readxl
6960 r-s4vectors
6961 r-seqminer
6962 r-variantannotation))
6963 (native-inputs (list r-knitr))
6964 (home-page "https://github.com/SRenan/XCIR")
6965 (synopsis "Analysis of X chromosome inactivation")
6966 (description
6967 "This package is an R package that offers models and tools for subject
6968 level analysis of @dfn{X chromosome inactivation} (XCI) and XCI-escape
6969 inference.")
6970 (license license:gpl2))))
6971
6972 (define-public r-xina
6973 (package
6974 (name "r-xina")
6975 (version "1.14.0")
6976 (source
6977 (origin
6978 (method url-fetch)
6979 (uri (bioconductor-uri "XINA" version))
6980 (sha256
6981 (base32 "03gf7mqpnwx12kny9fsaskgrw83b0wi2cf1j4dbq46pfxjx34v1g"))))
6982 (properties `((upstream-name . "XINA")))
6983 (build-system r-build-system)
6984 (propagated-inputs
6985 (list r-alluvial
6986 r-ggplot2
6987 r-gridextra
6988 r-igraph
6989 r-mclust
6990 r-plyr
6991 r-stringdb))
6992 (native-inputs (list r-knitr))
6993 (home-page "https://git.bioconductor.org/packages/XINA")
6994 (synopsis "Identifying proteins that exhibit similar patterns")
6995 (description
6996 "The aim of @code{XINA} is to determine which proteins exhibit similar
6997 patterns within and across experimental conditions, since proteins with
6998 co-abundance patterns may have common molecular functions. @code{XINA} imports
6999 multiple datasets, tags dataset in silico, and combines the data for subsequent
7000 subgrouping into multiple clusters. The result is a single output depicting
7001 the variation across all conditions. @code{XINA} not only extracts
7002 coabundance profiles within and across experiments, but also incorporates
7003 protein-protein interaction databases and integrative resources such as
7004 @dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and
7005 molecular functions, respectively, and produces intuitive graphical outputs.")
7006 (license license:gpl3)))
7007
7008 (define-public r-xmapbridge
7009 (package
7010 (name "r-xmapbridge")
7011 (version "1.54.0")
7012 (source
7013 (origin
7014 (method url-fetch)
7015 (uri (bioconductor-uri "xmapbridge" version))
7016 (sha256
7017 (base32 "1n3nxc4jwxf5z32i70sza52nyk29adhp8vc3hac7r5b8mbi6gg10"))))
7018 (properties `((upstream-name . "xmapbridge")))
7019 (build-system r-build-system)
7020 (home-page "https://git.bioconductor.org/packages/xmapbridge")
7021 (synopsis "Display numeric data in the web based genome browser X:MAP")
7022 (description
7023 "The package @code{xmapbridge} can plot graphs in the X:Map genome
7024 browser. X:Map uses the Google Maps API to provide a scrollable view of the
7025 genome. It supports a number of species, and can be accessed at
7026 @url{http://xmap.picr.man.ac.uk}. This package exports plotting files in a
7027 suitable format. Graph plotting in R is done using calls to the functions
7028 @code{xmap.plot} and @code{xmap.points}, which have parameters that aim to be
7029 similar to those used by the standard plot methods in R. These result in data
7030 being written to a set of files (in a specific directory structure) that
7031 contain the data to be displayed, as well as some additional meta-data
7032 describing each of the graphs.")
7033 (license license:lgpl3)))
7034
7035 (define-public r-xvector
7036 (package
7037 (name "r-xvector")
7038 (version "0.36.0")
7039 (source (origin
7040 (method url-fetch)
7041 (uri (bioconductor-uri "XVector" version))
7042 (sha256
7043 (base32
7044 "1f3sbqy279gb9k13l73j00ixywa1havlqy81zx766r1xkz15nvhk"))))
7045 (properties
7046 `((upstream-name . "XVector")))
7047 (build-system r-build-system)
7048 (arguments
7049 `(#:phases
7050 (modify-phases %standard-phases
7051 (add-after 'unpack 'use-system-zlib
7052 (lambda _
7053 (substitute* "DESCRIPTION"
7054 (("zlibbioc, ") ""))
7055 (substitute* "NAMESPACE"
7056 (("import\\(zlibbioc\\)") ""))
7057 #t)))))
7058 (inputs
7059 (list zlib))
7060 (propagated-inputs
7061 (list r-biocgenerics r-iranges r-s4vectors))
7062 (home-page "https://bioconductor.org/packages/XVector")
7063 (synopsis "Representation and manpulation of external sequences")
7064 (description
7065 "This package provides memory efficient S4 classes for storing sequences
7066 \"externally\" (behind an R external pointer, or on disk).")
7067 (license license:artistic2.0)))
7068
7069 (define-public r-zlibbioc
7070 (package
7071 (name "r-zlibbioc")
7072 (version "1.42.0")
7073 (source (origin
7074 (method url-fetch)
7075 (uri (bioconductor-uri "zlibbioc" version))
7076 (sha256
7077 (base32
7078 "0w0y9jixdk6akmasn55g9g0nhlh93hbca5bwx5w1fypnvqrqpxzv"))))
7079 (properties
7080 `((upstream-name . "zlibbioc")))
7081 (build-system r-build-system)
7082 (home-page "https://bioconductor.org/packages/zlibbioc")
7083 (synopsis "Provider for zlib-1.2.5 to R packages")
7084 (description "This package uses the source code of zlib-1.2.5 to create
7085 libraries for systems that do not have these available via other means.")
7086 (license license:artistic2.0)))
7087
7088 (define-public r-zellkonverter
7089 (package
7090 (name "r-zellkonverter")
7091 (version "1.6.5")
7092 (source
7093 (origin
7094 (method url-fetch)
7095 (uri (bioconductor-uri "zellkonverter" version))
7096 (sha256
7097 (base32 "0rxpjkisjj1xjchjjm72k8za5hn48wbdahmbllljvxm5ii6k36k6"))))
7098 (properties `((upstream-name . "zellkonverter")))
7099 (build-system r-build-system)
7100 (propagated-inputs
7101 (list r-basilisk
7102 r-cli
7103 r-delayedarray
7104 r-matrix
7105 r-reticulate
7106 r-s4vectors
7107 r-singlecellexperiment
7108 r-summarizedexperiment))
7109 (native-inputs (list r-knitr))
7110 (home-page "https://github.com/theislab/zellkonverter")
7111 (synopsis "Conversion between AnnData and single-cell experiments objects")
7112 (description
7113 "This package provides methods to convert between Python AnnData objects
7114 and SingleCellExperiment objects. These are primarily intended for use by
7115 downstream Bioconductor packages that wrap Python methods for single-cell data
7116 analysis. It also includes functions to read and write H5AD files used for
7117 saving AnnData objects to disk.")
7118 (license license:expat)))
7119
7120 (define-public r-geneplotter
7121 (package
7122 (name "r-geneplotter")
7123 (version "1.74.0")
7124 (source
7125 (origin
7126 (method url-fetch)
7127 (uri (bioconductor-uri "geneplotter" version))
7128 (sha256
7129 (base32
7130 "13230mzrdralnvf9jp032s16a8mk3kx5476nnvpa4pvcgp1i1ijc"))))
7131 (build-system r-build-system)
7132 (propagated-inputs
7133 (list r-annotate
7134 r-annotationdbi
7135 r-biobase
7136 r-biocgenerics
7137 r-lattice
7138 r-rcolorbrewer))
7139 (home-page "https://bioconductor.org/packages/geneplotter")
7140 (synopsis "Graphics functions for genomic data")
7141 (description
7142 "This package provides functions for plotting genomic data.")
7143 (license license:artistic2.0)))
7144
7145 (define-public r-oligoclasses
7146 (package
7147 (name "r-oligoclasses")
7148 (version "1.58.0")
7149 (source
7150 (origin
7151 (method url-fetch)
7152 (uri (bioconductor-uri "oligoClasses" version))
7153 (sha256
7154 (base32
7155 "1m4x50gl1fm5waa531v7ml0q229q65qn9cgiwnvjg721fvra7mdk"))))
7156 (properties `((upstream-name . "oligoClasses")))
7157 (build-system r-build-system)
7158 (propagated-inputs
7159 (list r-affyio
7160 r-biobase
7161 r-biocgenerics
7162 r-biocmanager
7163 r-biostrings
7164 r-dbi
7165 r-ff
7166 r-foreach
7167 r-genomicranges
7168 r-iranges
7169 r-rsqlite
7170 r-s4vectors
7171 r-summarizedexperiment))
7172 (home-page "https://bioconductor.org/packages/oligoClasses/")
7173 (synopsis "Classes for high-throughput arrays")
7174 (description
7175 "This package contains class definitions, validity checks, and
7176 initialization methods for classes used by the @code{oligo} and @code{crlmm}
7177 packages.")
7178 (license license:gpl2+)))
7179
7180 (define-public r-oligo
7181 (package
7182 (name "r-oligo")
7183 (version "1.60.0")
7184 (source
7185 (origin
7186 (method url-fetch)
7187 (uri (bioconductor-uri "oligo" version))
7188 (sha256
7189 (base32
7190 "0y7j96rafm9b85sxq2483i73685i3j67lk33fn8nfcav6lmsv5vy"))))
7191 (properties `((upstream-name . "oligo")))
7192 (build-system r-build-system)
7193 (inputs (list zlib))
7194 (propagated-inputs
7195 (list r-affxparser
7196 r-affyio
7197 r-biobase
7198 r-biocgenerics
7199 r-biostrings
7200 r-dbi
7201 r-ff
7202 r-oligoclasses
7203 r-preprocesscore
7204 r-rsqlite
7205 r-zlibbioc))
7206 (native-inputs
7207 (list r-knitr))
7208 (home-page "https://bioconductor.org/packages/oligo/")
7209 (synopsis "Preprocessing tools for oligonucleotide arrays")
7210 (description
7211 "This package provides a package to analyze oligonucleotide
7212 arrays (expression/SNP/tiling/exon) at probe-level. It currently supports
7213 Affymetrix (CEL files) and NimbleGen arrays (XYS files).")
7214 (license license:lgpl2.0+)))
7215
7216 (define-public r-qvalue
7217 (package
7218 (name "r-qvalue")
7219 (version "2.28.0")
7220 (source
7221 (origin
7222 (method url-fetch)
7223 (uri (bioconductor-uri "qvalue" version))
7224 (sha256
7225 (base32
7226 "0cvhm5cldcnnxwa293dig1pj9lvj2hnz9zh4gfr25sw0xlcjzmyw"))))
7227 (build-system r-build-system)
7228 (propagated-inputs
7229 (list r-ggplot2 r-reshape2))
7230 (native-inputs
7231 (list r-knitr))
7232 (home-page "https://github.com/StoreyLab/qvalue")
7233 (synopsis "Q-value estimation for false discovery rate control")
7234 (description
7235 "This package takes a list of p-values resulting from the simultaneous
7236 testing of many hypotheses and estimates their q-values and local @dfn{false
7237 discovery rate} (FDR) values. The q-value of a test measures the proportion
7238 of false positives incurred when that particular test is called significant.
7239 The local FDR measures the posterior probability the null hypothesis is true
7240 given the test's p-value. Various plots are automatically generated, allowing
7241 one to make sensible significance cut-offs. The software can be applied to
7242 problems in genomics, brain imaging, astrophysics, and data mining.")
7243 ;; Any version of the LGPL.
7244 (license license:lgpl3+)))
7245
7246 (define r-rcppnumerical
7247 (package
7248 (name "r-rcppnumerical")
7249 (version "0.4-0")
7250 (source (origin
7251 (method url-fetch)
7252 (uri (cran-uri "RcppNumerical" version))
7253 (sha256
7254 (base32
7255 "1a92fql6mijhnr1kxkcxwivf95pk9lhgmhzkshs51h0ybfv5krik"))))
7256 (properties `((upstream-name . "RcppNumerical")))
7257 (build-system r-build-system)
7258 (propagated-inputs
7259 `(("r-rcpp" ,r-rcpp)
7260 ("r-rcppeigen" ,r-rcppeigen)))
7261 (native-inputs
7262 `(("r-knitr" ,r-knitr)))
7263 (home-page "https://github.com/yixuan/RcppNumerical")
7264 (synopsis "Rcpp integration for numerical computing libraries")
7265 (description
7266 "This package provides a collection of libraries for numerical computing
7267 (numerical integration, optimization, etc.) and their integration with
7268 @code{Rcpp}.")
7269 (license license:gpl2+)))
7270
7271 (define-public r-apeglm
7272 (package
7273 (name "r-apeglm")
7274 (version "1.18.0")
7275 (source (origin
7276 (method url-fetch)
7277 (uri (bioconductor-uri "apeglm" version))
7278 (sha256
7279 (base32
7280 "1ppwk4g66x46hpqsfsvhl12398d1srqr47nmp0y2gz212kff0rby"))))
7281 (properties `((upstream-name . "apeglm")))
7282 (build-system r-build-system)
7283 (propagated-inputs
7284 (list r-emdbook
7285 r-genomicranges
7286 r-rcpp
7287 r-rcppeigen
7288 r-rcppnumerical
7289 r-summarizedexperiment))
7290 (native-inputs (list r-knitr))
7291 (home-page "https://bioconductor.org/packages/apeglm")
7292 (synopsis "Approximate posterior estimation for GLM coefficients")
7293 (description "This package provides Bayesian shrinkage estimators for
7294 effect sizes for a variety of GLM models, using approximation of the
7295 posterior for individual coefficients.")
7296 (license license:gpl2)))
7297
7298 (define-public r-greylistchip
7299 (package
7300 (name "r-greylistchip")
7301 (version "1.28.1")
7302 (source (origin
7303 (method url-fetch)
7304 (uri (bioconductor-uri "GreyListChIP" version))
7305 (sha256
7306 (base32
7307 "0w52vwvjarql19bsv40b80yn701qx8c9d0clsjhj85wmzj2p6dhg"))))
7308 (properties `((upstream-name . "GreyListChIP")))
7309 (build-system r-build-system)
7310 (propagated-inputs
7311 (list r-bsgenome
7312 r-genomeinfodb
7313 r-genomicalignments
7314 r-genomicranges
7315 r-mass
7316 r-rsamtools
7317 r-rtracklayer
7318 r-summarizedexperiment))
7319 (home-page "https://bioconductor.org/packages/GreyListChIP")
7320 (synopsis "Greylist artefact regions based on ChIP inputs")
7321 (description "This package identifies regions of ChIP experiments with high
7322 signal in the input, that lead to spurious peaks during peak calling.")
7323 (license license:artistic2.0)))
7324
7325 (define-public r-diffbind
7326 (package
7327 (name "r-diffbind")
7328 (version "3.6.4")
7329 (source
7330 (origin
7331 (method url-fetch)
7332 (uri (bioconductor-uri "DiffBind" version))
7333 (sha256
7334 (base32
7335 "035xczcir4q7yj6x9m3yq3dpvbfas9la925avni8147cwhybagqr"))))
7336 (properties `((upstream-name . "DiffBind")))
7337 (build-system r-build-system)
7338 (propagated-inputs
7339 (list r-amap
7340 r-apeglm
7341 r-ashr
7342 r-biocparallel
7343 r-deseq2
7344 r-dplyr
7345 r-genomicalignments
7346 r-genomicranges
7347 r-ggplot2
7348 r-ggrepel
7349 r-gplots
7350 r-greylistchip
7351 r-iranges
7352 r-lattice
7353 r-limma
7354 r-locfit
7355 r-rcolorbrewer
7356 r-rcpp
7357 r-rhtslib
7358 r-rsamtools
7359 r-s4vectors
7360 r-summarizedexperiment
7361 r-systempiper))
7362 (home-page "https://bioconductor.org/packages/DiffBind")
7363 (synopsis "Differential binding analysis of ChIP-Seq peak data")
7364 (description
7365 "This package computes differentially bound sites from multiple
7366 ChIP-seq experiments using affinity (quantitative) data. Also enables
7367 occupancy (overlap) analysis and plotting functions.")
7368 (license license:artistic2.0)))
7369
7370 (define-public r-ripseeker
7371 (package
7372 (name "r-ripseeker")
7373 (version "1.26.0")
7374 (source
7375 (origin
7376 (method url-fetch)
7377 (uri (bioconductor-uri "RIPSeeker" version))
7378 (sha256
7379 (base32
7380 "1wyv9mfrbxzklysfjcnwb8yils71janyyxa982jn0zxx4p9cl3vs"))))
7381 (properties `((upstream-name . "RIPSeeker")))
7382 (build-system r-build-system)
7383 (propagated-inputs
7384 (list r-s4vectors
7385 r-iranges
7386 r-genomicranges
7387 r-summarizedexperiment
7388 r-rsamtools
7389 r-genomicalignments
7390 r-rtracklayer))
7391 (home-page "https://bioconductor.org/packages/RIPSeeker")
7392 (synopsis
7393 "Identifying protein-associated transcripts from RIP-seq experiments")
7394 (description
7395 "This package infers and discriminates RIP peaks from RIP-seq alignments
7396 using two-state HMM with negative binomial emission probability. While
7397 RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides
7398 a suite of bioinformatics tools integrated within this self-contained software
7399 package comprehensively addressing issues ranging from post-alignments
7400 processing to visualization and annotation.")
7401 (license license:gpl2)))
7402
7403 (define-public r-mbkmeans
7404 (package
7405 (name "r-mbkmeans")
7406 (version "1.12.0")
7407 (source (origin
7408 (method url-fetch)
7409 (uri (bioconductor-uri "mbkmeans" version))
7410 (sha256
7411 (base32
7412 "1f5krzlyqljz763vkp1a50danjn78xhn35s8qqdvzrmwyx0fzphg"))))
7413 (build-system r-build-system)
7414 (native-inputs
7415 (list r-knitr))
7416 (propagated-inputs
7417 (list r-beachmat
7418 r-benchmarkme
7419 r-biocparallel
7420 r-clusterr
7421 r-delayedarray
7422 r-matrix
7423 r-rcpp
7424 r-rcpparmadillo
7425 r-rhdf5lib
7426 r-s4vectors
7427 r-singlecellexperiment
7428 r-summarizedexperiment))
7429 (home-page "https://bioconductor.org/packages/mbkmeans")
7430 (synopsis "Mini-batch k-means clustering for single-cell RNA-seq")
7431 (description "This package implements the mini-batch k-means algorithm for
7432 large datasets, including support for on-disk data representation.")
7433 (license license:expat)))
7434
7435 (define-public r-multtest
7436 (package
7437 (name "r-multtest")
7438 (version "2.52.0")
7439 (source
7440 (origin
7441 (method url-fetch)
7442 (uri (bioconductor-uri "multtest" version))
7443 (sha256
7444 (base32
7445 "037wcmwk1wvhjxgmlvnk289pkwishi1753ajkmy9x14xlmldix82"))))
7446 (build-system r-build-system)
7447 (propagated-inputs
7448 (list r-survival r-biocgenerics r-biobase r-mass))
7449 (home-page "https://bioconductor.org/packages/multtest")
7450 (synopsis "Resampling-based multiple hypothesis testing")
7451 (description
7452 "This package can do non-parametric bootstrap and permutation
7453 resampling-based multiple testing procedures (including empirical Bayes
7454 methods) for controlling the family-wise error rate (FWER), generalized
7455 family-wise error rate (gFWER), tail probability of the proportion of
7456 false positives (TPPFP), and false discovery rate (FDR). Several choices
7457 of bootstrap-based null distribution are implemented (centered, centered
7458 and scaled, quantile-transformed). Single-step and step-wise methods are
7459 available. Tests based on a variety of T- and F-statistics (including
7460 T-statistics based on regression parameters from linear and survival models
7461 as well as those based on correlation parameters) are included. When probing
7462 hypotheses with T-statistics, users may also select a potentially faster null
7463 distribution which is multivariate normal with mean zero and variance
7464 covariance matrix derived from the vector influence function. Results are
7465 reported in terms of adjusted P-values, confidence regions and test statistic
7466 cutoffs. The procedures are directly applicable to identifying differentially
7467 expressed genes in DNA microarray experiments.")
7468 (license license:lgpl3)))
7469
7470 (define-public r-graph
7471 (package
7472 (name "r-graph")
7473 (version "1.74.0")
7474 (source (origin
7475 (method url-fetch)
7476 (uri (bioconductor-uri "graph" version))
7477 (sha256
7478 (base32
7479 "1b8hrjwjg82kicls1496fxfzv75xjvq2k6r9apzsd3qlbyg3ilg4"))))
7480 (build-system r-build-system)
7481 (propagated-inputs
7482 (list r-biocgenerics))
7483 (home-page "https://bioconductor.org/packages/graph")
7484 (synopsis "Handle graph data structures in R")
7485 (description
7486 "This package implements some simple graph handling capabilities for R.")
7487 (license license:artistic2.0)))
7488
7489 ;; This is a CRAN package, but it depends on a Bioconductor package.
7490 (define-public r-ggm
7491 (package
7492 (name "r-ggm")
7493 (version "2.5")
7494 (source
7495 (origin
7496 (method url-fetch)
7497 (uri (cran-uri "ggm" version))
7498 (sha256
7499 (base32
7500 "11wc6k2kj2ydy0dyks5mbvbhxm1r43id87anl1jg6dn0yv4m78di"))))
7501 (properties `((upstream-name . "ggm")))
7502 (build-system r-build-system)
7503 (propagated-inputs
7504 (list r-graph r-igraph))
7505 (home-page "https://cran.r-project.org/package=ggm")
7506 (synopsis "Functions for graphical Markov models")
7507 (description
7508 "This package provides functions and datasets for maximum likelihood
7509 fitting of some classes of graphical Markov models.")
7510 (license license:gpl2+)))
7511
7512 ;; This is a CRAN package, but it depends on a Bioconductor package, r-graph.
7513 (define-public r-perfmeas
7514 (package
7515 (name "r-perfmeas")
7516 (version "1.2.5")
7517 (source
7518 (origin
7519 (method url-fetch)
7520 (uri (cran-uri "PerfMeas" version))
7521 (sha256
7522 (base32
7523 "13yjk0kwpbsqwl056hzf0zj2br1mk4faqcn1whdfxmq348c14hjb"))))
7524 (properties `((upstream-name . "PerfMeas")))
7525 (build-system r-build-system)
7526 (propagated-inputs
7527 (list r-graph r-limma r-rbgl))
7528 (home-page "https://cran.r-project.org/web/packages/PerfMeas/")
7529 (synopsis "Performance measures for ranking and classification tasks")
7530 (description
7531 "This package implements different performance measures for
7532 classification and ranking tasks. @dfn{Area under curve} (AUC), precision at
7533 a given recall, F-score for single and multiple classes are available.")
7534 (license license:gpl2+)))
7535
7536 ;; This is a CRAN package, but it depends on a Bioconductor package.
7537 (define-public r-codedepends
7538 (package
7539 (name "r-codedepends")
7540 (version "0.6.5")
7541 (source
7542 (origin
7543 (method url-fetch)
7544 (uri (cran-uri "CodeDepends" version))
7545 (sha256
7546 (base32
7547 "0l7kiv3awx50glf5cs841b4zzsff1ml90f0zr868ygvwsr4ps1hq"))))
7548 (properties `((upstream-name . "CodeDepends")))
7549 (build-system r-build-system)
7550 (propagated-inputs
7551 (list r-codetools r-graph r-xml))
7552 (home-page "https://cran.r-project.org/web/packages/CodeDepends")
7553 (synopsis "Analysis of R code for reproducible research and code comprehension")
7554 (description
7555 "This package provides tools for analyzing R expressions or blocks of
7556 code and determining the dependencies between them. It focuses on R scripts,
7557 but can be used on the bodies of functions. There are many facilities
7558 including the ability to summarize or get a high-level view of code,
7559 determining dependencies between variables, code improvement suggestions.")
7560 ;; Any version of the GPL
7561 (license (list license:gpl2+ license:gpl3+))))
7562
7563 (define-public r-chippeakanno
7564 (package
7565 (name "r-chippeakanno")
7566 (version "3.30.1")
7567 (source
7568 (origin
7569 (method url-fetch)
7570 (uri (bioconductor-uri "ChIPpeakAnno" version))
7571 (sha256
7572 (base32
7573 "0a26glldxczcfymjvd45gv5m4hympziivm6wwx4ab9wld7n43l8y"))))
7574 (properties `((upstream-name . "ChIPpeakAnno")))
7575 (build-system r-build-system)
7576 (propagated-inputs
7577 (list r-annotationdbi
7578 r-biocgenerics
7579 r-biomart
7580 r-biostrings
7581 r-dbi
7582 r-dplyr
7583 r-ensembldb
7584 r-genomeinfodb
7585 r-genomicalignments
7586 r-genomicfeatures
7587 r-genomicranges
7588 r-ggplot2
7589 r-graph
7590 r-interactionset
7591 r-iranges
7592 r-keggrest
7593 r-matrixstats
7594 r-multtest
7595 r-rbgl
7596 r-regioner
7597 r-rsamtools
7598 r-rtracklayer
7599 r-s4vectors
7600 r-summarizedexperiment
7601 r-venndiagram))
7602 (native-inputs
7603 (list r-knitr))
7604 (home-page "https://bioconductor.org/packages/ChIPpeakAnno")
7605 (synopsis "Peaks annotation from ChIP-seq and ChIP-chip experiments")
7606 (description
7607 "The package includes functions to retrieve the sequences around the peak,
7608 obtain enriched Gene Ontology (GO) terms, find the nearest gene, exon, miRNA or
7609 custom features such as most conserved elements and other transcription factor
7610 binding sites supplied by users. Starting 2.0.5, new functions have been added
7611 for finding the peaks with bi-directional promoters with summary statistics
7612 (peaksNearBDP), for summarizing the occurrence of motifs in peaks
7613 (summarizePatternInPeaks) and for adding other IDs to annotated peaks or
7614 enrichedGO (addGeneIDs).")
7615 (license license:gpl2+)))
7616
7617 (define-public r-matrixgenerics
7618 (package
7619 (name "r-matrixgenerics")
7620 (version "1.8.1")
7621 (source (origin
7622 (method url-fetch)
7623 (uri (bioconductor-uri "MatrixGenerics" version))
7624 (sha256
7625 (base32
7626 "1liblnpziyyjxzrhdd5d89ilvfqqhbl87h3hsmdm0kwnmc73r37f"))))
7627 (properties
7628 `((upstream-name . "MatrixGenerics")))
7629 (build-system r-build-system)
7630 (propagated-inputs
7631 (list r-matrixstats))
7632 (home-page "https://bioconductor.org/packages/MatrixGenerics")
7633 (synopsis "S4 generic summary statistic functions for matrix-like objects")
7634 (description
7635 "This package provides S4 generic functions modeled after the
7636 @code{matrixStats} API for alternative matrix implementations. Packages with
7637 alternative matrix implementation can depend on this package and implement the
7638 generic functions that are defined here for a useful set of row and column
7639 summary statistics. Other package developers can import this package and
7640 handle a different matrix implementations without worrying about
7641 incompatibilities.")
7642 (license license:artistic2.0)))
7643
7644 (define-public r-marray
7645 (package
7646 (name "r-marray")
7647 (version "1.74.0")
7648 (source (origin
7649 (method url-fetch)
7650 (uri (bioconductor-uri "marray" version))
7651 (sha256
7652 (base32 "0awfz0akz3sylyw1jxhxgadv1rqdzvy9v11933yxkl9a8m9ngm8i"))))
7653 (build-system r-build-system)
7654 (propagated-inputs
7655 (list r-limma))
7656 (home-page "https://bioconductor.org/packages/marray")
7657 (synopsis "Exploratory analysis for two-color spotted microarray data")
7658 (description "This package contains class definitions for two-color spotted
7659 microarray data. It also includes functions for data input, diagnostic plots,
7660 normalization and quality checking.")
7661 (license license:lgpl2.0+)))
7662
7663 (define-public r-cghbase
7664 (package
7665 (name "r-cghbase")
7666 (version "1.56.0")
7667 (source (origin
7668 (method url-fetch)
7669 (uri (bioconductor-uri "CGHbase" version))
7670 (sha256
7671 (base32 "1q8yy60r4g5nyv2gbfdgk192xd73c0rrjr668d5616ddb7sx8wcr"))))
7672 (properties `((upstream-name . "CGHbase")))
7673 (build-system r-build-system)
7674 (propagated-inputs
7675 (list r-biobase r-marray))
7676 (home-page "https://bioconductor.org/packages/CGHbase")
7677 (synopsis "Base functions and classes for arrayCGH data analysis")
7678 (description "This package contains functions and classes that are needed by
7679 the @code{arrayCGH} packages.")
7680 (license license:gpl2+)))
7681
7682 (define-public r-cghcall
7683 (package
7684 (name "r-cghcall")
7685 (version "2.58.0")
7686 (source (origin
7687 (method url-fetch)
7688 (uri (bioconductor-uri "CGHcall" version))
7689 (sha256
7690 (base32 "1qpsibp4gb09sn6fkwwrdjkh3a28lqfbk18c6fvn4m386j96ps65"))))
7691 (properties `((upstream-name . "CGHcall")))
7692 (build-system r-build-system)
7693 (propagated-inputs
7694 (list r-biobase r-cghbase r-impute r-dnacopy r-snowfall))
7695 (home-page "https://bioconductor.org/packages/CGHcall")
7696 (synopsis "Base functions and classes for arrayCGH data analysis")
7697 (description "This package contains functions and classes that are needed by
7698 @code{arrayCGH} packages.")
7699 (license license:gpl2+)))
7700
7701 (define-public r-qdnaseq
7702 (package
7703 (name "r-qdnaseq")
7704 (version "1.32.0")
7705 (source (origin
7706 (method url-fetch)
7707 (uri (bioconductor-uri "QDNAseq" version))
7708 (sha256
7709 (base32 "0s360s72lfn9vjml88gg1m40n61s0dc66ilzgfjdcp65djdxxfvm"))))
7710 (properties `((upstream-name . "QDNAseq")))
7711 (build-system r-build-system)
7712 (propagated-inputs
7713 (list r-biobase
7714 r-cghbase
7715 r-cghcall
7716 r-dnacopy
7717 r-future-apply
7718 r-genomicranges
7719 r-iranges
7720 r-matrixstats
7721 r-r-utils
7722 r-rsamtools))
7723 (home-page "https://bioconductor.org/packages/QDNAseq")
7724 (synopsis "Quantitative DNA sequencing for chromosomal aberrations")
7725 (description "The genome is divided into non-overlapping fixed-sized bins,
7726 number of sequence reads in each counted, adjusted with a simultaneous
7727 two-dimensional loess correction for sequence mappability and GC content, and
7728 filtered to remove spurious regions in the genome. Downstream steps of
7729 segmentation and calling are also implemented via packages DNAcopy and CGHcall,
7730 respectively.")
7731 (license license:gpl2+)))
7732
7733 (define-public r-bayseq
7734 (package
7735 (name "r-bayseq")
7736 (version "2.30.0")
7737 (source
7738 (origin
7739 (method url-fetch)
7740 (uri (bioconductor-uri "baySeq" version))
7741 (sha256
7742 (base32
7743 "1yqykndyv32s2rk7x86qf410qr0pigc8z4gdkl8vhj4dgyr47n2j"))))
7744 (properties `((upstream-name . "baySeq")))
7745 (build-system r-build-system)
7746 (propagated-inputs
7747 (list r-abind r-edger r-genomicranges))
7748 (home-page "https://bioconductor.org/packages/baySeq/")
7749 (synopsis "Bayesian analysis of differential expression patterns in count data")
7750 (description
7751 "This package identifies differential expression in high-throughput count
7752 data, such as that derived from next-generation sequencing machines,
7753 calculating estimated posterior likelihoods of differential expression (or
7754 more complex hypotheses) via empirical Bayesian methods.")
7755 (license license:gpl3)))
7756
7757 (define-public r-chipcomp
7758 (package
7759 (name "r-chipcomp")
7760 (version "1.26.0")
7761 (source
7762 (origin
7763 (method url-fetch)
7764 (uri (bioconductor-uri "ChIPComp" version))
7765 (sha256
7766 (base32
7767 "06q34y59gf1iz0rs7y5x8ndy1wa95j65rfmz37aym5c46ijqsnq0"))))
7768 (properties `((upstream-name . "ChIPComp")))
7769 (build-system r-build-system)
7770 (propagated-inputs
7771 (list r-biocgenerics
7772 r-bsgenome-hsapiens-ucsc-hg19
7773 r-bsgenome-mmusculus-ucsc-mm9
7774 r-genomeinfodb
7775 r-genomicranges
7776 r-iranges
7777 r-limma
7778 r-rsamtools
7779 r-rtracklayer
7780 r-s4vectors))
7781 (home-page "https://bioconductor.org/packages/ChIPComp")
7782 (synopsis "Quantitative comparison of multiple ChIP-seq datasets")
7783 (description
7784 "ChIPComp implements a statistical method for quantitative comparison of
7785 multiple ChIP-seq datasets. It detects differentially bound sharp binding
7786 sites across multiple conditions considering matching control in ChIP-seq
7787 datasets.")
7788 ;; Any version of the GPL.
7789 (license license:gpl3+)))
7790
7791 (define-public r-riboprofiling
7792 (package
7793 (name "r-riboprofiling")
7794 (version "1.26.0")
7795 (source
7796 (origin
7797 (method url-fetch)
7798 (uri (bioconductor-uri "RiboProfiling" version))
7799 (sha256
7800 (base32
7801 "08m4rc530bkzcc43iwzg2fw9cjlf4wc2d8akv5vblsb42xdn8sqp"))))
7802 (properties `((upstream-name . "RiboProfiling")))
7803 (build-system r-build-system)
7804 (propagated-inputs
7805 (list r-biocgenerics
7806 r-biostrings
7807 r-data-table
7808 r-genomeinfodb
7809 r-genomicalignments
7810 r-genomicfeatures
7811 r-genomicranges
7812 r-ggbio
7813 r-ggplot2
7814 r-iranges
7815 r-plyr
7816 r-reshape2
7817 r-rsamtools
7818 r-rtracklayer
7819 r-s4vectors
7820 r-sqldf))
7821 (native-inputs
7822 (list r-knitr))
7823 (home-page "https://bioconductor.org/packages/RiboProfiling/")
7824 (synopsis "Ribosome profiling data analysis")
7825 (description "Starting with a BAM file, this package provides the
7826 necessary functions for quality assessment, read start position recalibration,
7827 the counting of genomic sequence reads on CDS, 3'UTR, and 5'UTR, and plotting
7828 of count data: pairs, log fold-change, codon frequency and coverage
7829 assessment, principal component analysis on codon coverage.")
7830 (license license:gpl3)))
7831
7832 (define-public r-riboseqr
7833 (package
7834 (name "r-riboseqr")
7835 (version "1.30.0")
7836 (source
7837 (origin
7838 (method url-fetch)
7839 (uri (bioconductor-uri "riboSeqR" version))
7840 (sha256
7841 (base32
7842 "1zs3y0icsqrndjp9wwqz3jxysvyc9pch45y49j6g9b5b2l44ma26"))))
7843 (properties `((upstream-name . "riboSeqR")))
7844 (build-system r-build-system)
7845 (propagated-inputs
7846 (list r-abind
7847 r-bayseq
7848 r-genomeinfodb
7849 r-genomicranges
7850 r-iranges
7851 r-rsamtools
7852 r-seqlogo))
7853 (home-page "https://bioconductor.org/packages/riboSeqR/")
7854 (synopsis "Analysis of sequencing data from ribosome profiling experiments")
7855 (description
7856 "This package provides plotting functions, frameshift detection and
7857 parsing of genetic sequencing data from ribosome profiling experiments.")
7858 (license license:gpl3)))
7859
7860 (define-public r-interactionset
7861 (package
7862 (name "r-interactionset")
7863 (version "1.24.0")
7864 (source
7865 (origin
7866 (method url-fetch)
7867 (uri (bioconductor-uri "InteractionSet" version))
7868 (sha256
7869 (base32
7870 "0qjimx25jvm8siq8hmlbf2z6mknzpbq945p06fsj826k57bpcsm5"))))
7871 (properties
7872 `((upstream-name . "InteractionSet")))
7873 (build-system r-build-system)
7874 (propagated-inputs
7875 (list r-biocgenerics
7876 r-genomeinfodb
7877 r-genomicranges
7878 r-iranges
7879 r-matrix
7880 r-rcpp
7881 r-s4vectors
7882 r-summarizedexperiment))
7883 (native-inputs
7884 (list r-knitr))
7885 (home-page "https://bioconductor.org/packages/InteractionSet")
7886 (synopsis "Base classes for storing genomic interaction data")
7887 (description
7888 "This package provides the @code{GInteractions},
7889 @code{InteractionSet} and @code{ContactMatrix} objects and associated methods
7890 for storing and manipulating genomic interaction data from Hi-C and ChIA-PET
7891 experiments.")
7892 (license license:gpl3)))
7893
7894 (define-public r-genomicinteractions
7895 (package
7896 (name "r-genomicinteractions")
7897 (version "1.30.0")
7898 (source
7899 (origin
7900 (method url-fetch)
7901 (uri (bioconductor-uri "GenomicInteractions" version))
7902 (sha256
7903 (base32
7904 "0aph1hja5vfprxs3jl4zd1inhvih6m3v1p3jkm6w7xpj3jzvmgbx"))))
7905 (properties
7906 `((upstream-name . "GenomicInteractions")))
7907 (build-system r-build-system)
7908 (propagated-inputs
7909 (list r-biobase
7910 r-biocgenerics
7911 r-data-table
7912 r-dplyr
7913 r-genomeinfodb
7914 r-genomicranges
7915 r-ggplot2
7916 r-gridextra
7917 r-gviz
7918 r-igraph
7919 r-interactionset
7920 r-iranges
7921 r-rsamtools
7922 r-rtracklayer
7923 r-s4vectors
7924 r-stringr))
7925 (native-inputs
7926 (list r-knitr))
7927 (home-page "https://github.com/ComputationalRegulatoryGenomicsICL/GenomicInteractions/")
7928 (synopsis "R package for handling genomic interaction data")
7929 (description
7930 "This R package provides tools for handling genomic interaction data,
7931 such as ChIA-PET/Hi-C, annotating genomic features with interaction
7932 information and producing various plots and statistics.")
7933 (license license:gpl3)))
7934
7935 (define-public r-ctc
7936 (package
7937 (name "r-ctc")
7938 (version "1.70.0")
7939 (source
7940 (origin
7941 (method url-fetch)
7942 (uri (bioconductor-uri "ctc" version))
7943 (sha256
7944 (base32
7945 "0c9pgp25dqx12fmi4cqm7xyxjmy6g7wv9vbljgdjghaij2lrc4pb"))))
7946 (build-system r-build-system)
7947 (propagated-inputs (list r-amap))
7948 (home-page "https://bioconductor.org/packages/ctc/")
7949 (synopsis "Cluster and tree conversion")
7950 (description
7951 "This package provides tools for exporting and importing classification
7952 trees and clusters to other programs.")
7953 (license license:gpl2)))
7954
7955 (define-public r-goseq
7956 (package
7957 (name "r-goseq")
7958 (version "1.48.0")
7959 (source
7960 (origin
7961 (method url-fetch)
7962 (uri (bioconductor-uri "goseq" version))
7963 (sha256
7964 (base32
7965 "1w0rwzhqkvp2x7y5v0qcyjbss0p95gb1jrnx5sdkqginbvrmrd48"))))
7966 (build-system r-build-system)
7967 (propagated-inputs
7968 (list r-annotationdbi
7969 r-biasedurn
7970 r-biocgenerics
7971 r-genelendatabase
7972 r-go-db
7973 r-mgcv))
7974 (home-page "https://bioconductor.org/packages/goseq/")
7975 (synopsis "Gene Ontology analyser for RNA-seq and other length biased data")
7976 (description
7977 "This package provides tools to detect Gene Ontology and/or other user
7978 defined categories which are over/under represented in RNA-seq data.")
7979 (license license:lgpl2.0+)))
7980
7981 (define-public r-glimma
7982 (package
7983 (name "r-glimma")
7984 (version "2.6.0")
7985 (source
7986 (origin
7987 (method url-fetch)
7988 (uri (bioconductor-uri "Glimma" version))
7989 (sha256
7990 (base32
7991 "1k17ay09vhb2hakg1vrgvpp1zliavlj7cdkxaal162bc3v8pyvyz"))))
7992 (properties `((upstream-name . "Glimma")))
7993 (build-system r-build-system)
7994 (propagated-inputs
7995 (list r-deseq2
7996 r-edger
7997 r-htmlwidgets
7998 r-jsonlite
7999 r-limma
8000 r-s4vectors
8001 r-summarizedexperiment))
8002 (native-inputs
8003 (list r-knitr))
8004 (home-page "https://github.com/Shians/Glimma")
8005 (synopsis "Interactive HTML graphics")
8006 (description
8007 "This package generates interactive visualisations for analysis of
8008 RNA-sequencing data using output from limma, edgeR or DESeq2 packages in an
8009 HTML page. The interactions are built on top of the popular static
8010 representations of analysis results in order to provide additional
8011 information.")
8012 (license license:lgpl3)))
8013
8014 (define-public r-rots
8015 (package
8016 (name "r-rots")
8017 (version "1.24.0")
8018 (source
8019 (origin
8020 (method url-fetch)
8021 (uri (bioconductor-uri "ROTS" version))
8022 (sha256
8023 (base32
8024 "021a578p8kcl5yd9myiy0h2qp10r30ggnip2kp6xs7dx8nzic96r"))))
8025 (properties `((upstream-name . "ROTS")))
8026 (build-system r-build-system)
8027 (propagated-inputs
8028 (list r-biobase r-rcpp))
8029 (home-page "https://bioconductor.org/packages/ROTS/")
8030 (synopsis "Reproducibility-Optimized Test Statistic")
8031 (description
8032 "This package provides tools for calculating the
8033 @dfn{Reproducibility-Optimized Test Statistic} (ROTS) for differential testing
8034 in omics data.")
8035 (license license:gpl2+)))
8036
8037 (define-public r-plgem
8038 (package
8039 (name "r-plgem")
8040 (version "1.68.0")
8041 (source
8042 (origin
8043 (method url-fetch)
8044 (uri (bioconductor-uri "plgem" version))
8045 (sha256
8046 (base32
8047 "07zxflxcay17hxjw3wh5kfdwl2x8537csb18p1qzmyrkvscnja77"))))
8048 (build-system r-build-system)
8049 (propagated-inputs
8050 (list r-biobase r-mass))
8051 (home-page "http://www.genopolis.it")
8052 (synopsis "Detect differential expression in microarray and proteomics datasets")
8053 (description
8054 "The Power Law Global Error Model (PLGEM) has been shown to faithfully
8055 model the variance-versus-mean dependence that exists in a variety of
8056 genome-wide datasets, including microarray and proteomics data. The use of
8057 PLGEM has been shown to improve the detection of differentially expressed
8058 genes or proteins in these datasets.")
8059 (license license:gpl2)))
8060
8061 (define-public r-inspect
8062 (package
8063 (name "r-inspect")
8064 (version "1.26.0")
8065 (source
8066 (origin
8067 (method url-fetch)
8068 (uri (bioconductor-uri "INSPEcT" version))
8069 (sha256
8070 (base32
8071 "0jx887vhxwd8zlqajr9czvn9nx88ryyxlnl58hxrlajjpcjkz9ax"))))
8072 (properties `((upstream-name . "INSPEcT")))
8073 (build-system r-build-system)
8074 (propagated-inputs
8075 (list r-biobase
8076 r-biocgenerics
8077 r-biocparallel
8078 r-deseq2
8079 r-desolve
8080 r-gdata
8081 r-genomeinfodb
8082 r-genomicalignments
8083 r-genomicfeatures
8084 r-genomicranges
8085 r-iranges
8086 r-kernsmooth
8087 r-plgem
8088 r-proc
8089 r-rootsolve
8090 r-rsamtools
8091 r-rtracklayer
8092 r-s4vectors
8093 r-shiny
8094 r-summarizedexperiment
8095 r-txdb-mmusculus-ucsc-mm9-knowngene))
8096 (native-inputs
8097 (list r-knitr))
8098 (home-page "https://bioconductor.org/packages/INSPEcT")
8099 (synopsis "Analysis of 4sU-seq and RNA-seq time-course data")
8100 (description
8101 "INSPEcT (INference of Synthesis, Processing and dEgradation rates in
8102 Time-Course experiments) analyses 4sU-seq and RNA-seq time-course data in
8103 order to evaluate synthesis, processing and degradation rates and assess via
8104 modeling the rates that determines changes in mature mRNA levels.")
8105 (license license:gpl2)))
8106
8107 (define-public r-dnabarcodes
8108 (package
8109 (name "r-dnabarcodes")
8110 (version "1.26.0")
8111 (source
8112 (origin
8113 (method url-fetch)
8114 (uri (bioconductor-uri "DNABarcodes" version))
8115 (sha256
8116 (base32
8117 "0n2qlvpcjhrxr3br27gz9vhwcpf7sn6g4xdjazvvi3gqcgk90xc6"))))
8118 (properties `((upstream-name . "DNABarcodes")))
8119 (build-system r-build-system)
8120 (propagated-inputs
8121 (list r-bh r-matrix r-rcpp))
8122 (native-inputs
8123 (list r-knitr))
8124 (home-page "https://bioconductor.org/packages/DNABarcodes")
8125 (synopsis "Create and analyze DNA barcodes")
8126 (description
8127 "This package offers tools to create DNA barcode sets capable of
8128 correcting insertion, deletion, and substitution errors. Existing barcodes
8129 can be analyzed regarding their minimal, maximal and average distances between
8130 barcodes. Finally, reads that start with a (possibly mutated) barcode can be
8131 demultiplexed, i.e. assigned to their original reference barcode.")
8132 (license license:gpl2)))
8133
8134 (define-public r-ruvseq
8135 (package
8136 (name "r-ruvseq")
8137 (version "1.30.0")
8138 (source
8139 (origin
8140 (method url-fetch)
8141 (uri (bioconductor-uri "RUVSeq" version))
8142 (sha256
8143 (base32
8144 "001h07b074hvj16bjdp9llb9psphw7r6kpwhq61bj4519y6lpg7x"))))
8145 (properties `((upstream-name . "RUVSeq")))
8146 (build-system r-build-system)
8147 (propagated-inputs
8148 (list r-biobase r-edaseq r-edger r-mass))
8149 (native-inputs
8150 (list r-knitr))
8151 (home-page "https://github.com/drisso/RUVSeq")
8152 (synopsis "Remove unwanted variation from RNA-Seq data")
8153 (description
8154 "This package implements methods to @dfn{remove unwanted variation} (RUV)
8155 of Risso et al. (2014) for the normalization of RNA-Seq read counts between
8156 samples.")
8157 (license license:artistic2.0)))
8158
8159 (define-public r-biocneighbors
8160 (package
8161 (name "r-biocneighbors")
8162 (version "1.14.0")
8163 (source
8164 (origin
8165 (method url-fetch)
8166 (uri (bioconductor-uri "BiocNeighbors" version))
8167 (sha256
8168 (base32
8169 "1a43hzmcpxviqa9723hkafr6gm358amfpqj9d56imclkkfkdz95x"))))
8170 (properties `((upstream-name . "BiocNeighbors")))
8171 (build-system r-build-system)
8172 (propagated-inputs
8173 (list r-biocparallel r-matrix r-rcpp r-rcpphnsw r-s4vectors))
8174 (native-inputs
8175 (list r-knitr))
8176 (home-page "https://bioconductor.org/packages/BiocNeighbors")
8177 (synopsis "Nearest Neighbor Detection for Bioconductor packages")
8178 (description
8179 "This package implements exact and approximate methods for nearest
8180 neighbor detection, in a framework that allows them to be easily switched
8181 within Bioconductor packages or workflows. The exact algorithm is implemented
8182 using pre-clustering with the k-means algorithm. Functions are also provided
8183 to search for all neighbors within a given distance. Parallelization is
8184 achieved for all methods using the BiocParallel framework.")
8185 (license license:gpl3)))
8186
8187 (define-public r-scaledmatrix
8188 (package
8189 (name "r-scaledmatrix")
8190 (version "1.4.1")
8191 (source
8192 (origin
8193 (method url-fetch)
8194 (uri (bioconductor-uri "ScaledMatrix" version))
8195 (sha256
8196 (base32
8197 "05gxr41nb1jqhv357rfha4062kszvrmkr36mhkjsf7kgnzf0p8hz"))))
8198 (properties `((upstream-name . "ScaledMatrix")))
8199 (build-system r-build-system)
8200 (propagated-inputs
8201 (list r-delayedarray r-matrix r-s4vectors))
8202 (native-inputs (list r-knitr))
8203 (home-page "https://github.com/LTLA/ScaledMatrix")
8204 (synopsis "Create a DelayedMatrix of scaled and centered values")
8205 (description
8206 "This package provides delayed computation of a matrix of scaled and
8207 centered values. The result is equivalent to using the @code{scale} function
8208 but avoids explicit realization of a dense matrix during block processing.
8209 This permits greater efficiency in common operations, most notably matrix
8210 multiplication.")
8211 (license license:gpl3)))
8212
8213 (define-public r-treeio
8214 (package
8215 (name "r-treeio")
8216 (version "1.20.2")
8217 (source
8218 (origin
8219 (method url-fetch)
8220 (uri (bioconductor-uri "treeio" version))
8221 (sha256
8222 (base32
8223 "1jymbyl82n88ckw0nkbj72rvlxbk5m7xmcmq3fyi885z7aasc0x1"))))
8224 (properties `((upstream-name . "treeio")))
8225 (build-system r-build-system)
8226 (propagated-inputs
8227 (list r-ape
8228 r-dplyr
8229 r-jsonlite
8230 r-magrittr
8231 r-rlang
8232 r-tibble
8233 r-tidytree))
8234 (native-inputs (list r-knitr))
8235 (home-page "https://github.com/YuLab-SMU/treeio")
8236 (synopsis "Base classes and functions for Phylogenetic tree input and output")
8237 (description
8238 "This is an R package to make it easier to import and store phylogenetic
8239 trees with associated data; and to link external data from different sources
8240 to phylogeny. It also supports exporting phylogenetic trees with
8241 heterogeneous associated data to a single tree file and can be served as a
8242 platform for merging tree with associated data and converting file formats.")
8243 (license license:artistic2.0)))
8244
8245 (define-public r-ggtree
8246 (package
8247 (name "r-ggtree")
8248 (version "3.4.4")
8249 (source
8250 (origin
8251 (method url-fetch)
8252 (uri (bioconductor-uri "ggtree" version))
8253 (sha256
8254 (base32
8255 "0h1qlhn4rj7jgd9vrja7lykaglyfvnzwkghvsqj1mvp4niwli7y5"))))
8256 (properties `((upstream-name . "ggtree")))
8257 (build-system r-build-system)
8258 (propagated-inputs
8259 (list r-ape
8260 r-aplot
8261 r-dplyr
8262 r-ggfun
8263 r-ggplot2
8264 r-magrittr
8265 r-purrr
8266 r-rlang
8267 r-scales
8268 r-tidyr
8269 r-tidytree
8270 r-treeio
8271 r-yulab-utils))
8272 (native-inputs (list r-knitr))
8273 (home-page "https://yulab-smu.top/treedata-book/")
8274 (synopsis "R package for visualization of trees and annotation data")
8275 (description
8276 "This package extends the ggplot2 plotting system which implements a
8277 grammar of graphics. ggtree is designed for visualization and annotation of
8278 phylogenetic trees and other tree-like structures with their annotation
8279 data.")
8280 (license license:artistic2.0)))
8281
8282 (define-public r-metapod
8283 (package
8284 (name "r-metapod")
8285 (version "1.4.0")
8286 (source
8287 (origin
8288 (method url-fetch)
8289 (uri (bioconductor-uri "metapod" version))
8290 (sha256
8291 (base32
8292 "19g9c08alg4qqr710si465wlb5dy759m5d8wn91zwj24077dds7b"))))
8293 (properties `((upstream-name . "metapod")))
8294 (build-system r-build-system)
8295 (propagated-inputs
8296 (list r-rcpp))
8297 (native-inputs
8298 (list r-knitr))
8299 (home-page "https://bioconductor.org/packages/metapod")
8300 (synopsis "Meta-analyses on p-values of differential analyses")
8301 (description
8302 "This package implements a variety of methods for combining p-values in
8303 differential analyses of genome-scale datasets. Functions can combine
8304 p-values across different tests in the same analysis (e.g., genomic windows in
8305 ChIP-seq, exons in RNA-seq) or for corresponding tests across separate
8306 analyses (e.g., replicated comparisons, effect of different treatment
8307 conditions). Support is provided for handling log-transformed input p-values,
8308 missing values and weighting where appropriate.")
8309 (license license:gpl3)))
8310
8311 (define-public r-biocsingular
8312 (package
8313 (name "r-biocsingular")
8314 (version "1.12.0")
8315 (source
8316 (origin
8317 (method url-fetch)
8318 (uri (bioconductor-uri "BiocSingular" version))
8319 (sha256
8320 (base32
8321 "1sraycnn0jahpi8kni1y8ik00ga89fvwqjmbr8388968q22mvm3x"))))
8322 (properties `((upstream-name . "BiocSingular")))
8323 (build-system r-build-system)
8324 (propagated-inputs
8325 (list r-beachmat
8326 r-biocgenerics
8327 r-biocparallel
8328 r-delayedarray
8329 r-irlba
8330 r-matrix
8331 r-rcpp
8332 r-rsvd
8333 r-s4vectors
8334 r-scaledmatrix))
8335 (native-inputs
8336 (list r-knitr))
8337 (home-page "https://github.com/LTLA/BiocSingular")
8338 (synopsis "Singular value decomposition for Bioconductor packages")
8339 (description
8340 "This package implements exact and approximate methods for singular value
8341 decomposition and principal components analysis, in a framework that allows
8342 them to be easily switched within Bioconductor packages or workflows. Where
8343 possible, parallelization is achieved using the BiocParallel framework.")
8344 (license license:gpl3)))
8345
8346 (define-public r-destiny
8347 (package
8348 (name "r-destiny")
8349 (version "3.10.0")
8350 (source
8351 (origin
8352 (method url-fetch)
8353 (uri (bioconductor-uri "destiny" version))
8354 (sha256
8355 (base32
8356 "1c85ky5ggdsi0ab1l4ipl85gc1kj1zv3wp08qrvslax3z0yw0ljy"))))
8357 (build-system r-build-system)
8358 (propagated-inputs
8359 (list r-biobase
8360 r-biocgenerics
8361 r-ggplot-multistats
8362 r-ggplot2
8363 r-ggthemes
8364 r-irlba
8365 r-knn-covertree
8366 r-matrix
8367 r-pcamethods
8368 r-proxy
8369 r-rcpp
8370 r-rcppeigen
8371 r-rcpphnsw
8372 r-rspectra
8373 r-scales
8374 r-scatterplot3d
8375 r-singlecellexperiment
8376 r-smoother
8377 r-summarizedexperiment
8378 r-tidyr
8379 r-tidyselect
8380 r-vim))
8381 (native-inputs
8382 (list r-knitr r-nbconvertr)) ; for vignettes
8383 (home-page "https://bioconductor.org/packages/destiny/")
8384 (synopsis "Create and plot diffusion maps")
8385 (description "This package provides tools to create and plot diffusion
8386 maps.")
8387 ;; Any version of the GPL
8388 (license license:gpl3+)))
8389
8390 (define-public r-savr
8391 (package
8392 (name "r-savr")
8393 (version "1.34.0")
8394 (source
8395 (origin
8396 (method url-fetch)
8397 (uri (bioconductor-uri "savR" version))
8398 (sha256
8399 (base32
8400 "04zlf3lyr6vnpj80m6fd2is2f7302sxwih8nzzjnc4ss972jid2k"))))
8401 (properties `((upstream-name . "savR")))
8402 (build-system r-build-system)
8403 (propagated-inputs
8404 (list r-ggplot2 r-gridextra r-reshape2 r-scales r-xml))
8405 (home-page "https://github.com/bcalder/savR")
8406 (synopsis "Parse and analyze Illumina SAV files")
8407 (description
8408 "This package provides tools to parse Illumina Sequence Analysis
8409 Viewer (SAV) files, access data, and generate QC plots.")
8410 (license license:agpl3+)))
8411
8412 (define-public r-chipexoqual
8413 (package
8414 (name "r-chipexoqual")
8415 (version "1.20.0")
8416 (source
8417 (origin
8418 (method url-fetch)
8419 (uri (bioconductor-uri "ChIPexoQual" version))
8420 (sha256
8421 (base32
8422 "1r4s8awvwwj1g33jpnzfxji23mfy0chkhi14i0ml5sh090xijpaz"))))
8423 (properties `((upstream-name . "ChIPexoQual")))
8424 (build-system r-build-system)
8425 (propagated-inputs
8426 (list r-biocparallel
8427 r-biovizbase
8428 r-broom
8429 r-data-table
8430 r-dplyr
8431 r-genomeinfodb
8432 r-genomicalignments
8433 r-genomicranges
8434 r-ggplot2
8435 r-hexbin
8436 r-iranges
8437 r-rcolorbrewer
8438 r-rmarkdown
8439 r-rsamtools
8440 r-s4vectors
8441 r-scales
8442 r-viridis))
8443 (native-inputs
8444 (list r-knitr))
8445 (home-page "https://github.com/keleslab/ChIPexoQual")
8446 (synopsis "Quality control pipeline for ChIP-exo/nexus data")
8447 (description
8448 "This package provides a quality control pipeline for ChIP-exo/nexus
8449 sequencing data.")
8450 (license license:gpl2+)))
8451
8452 (define-public r-copynumber
8453 (package
8454 (name "r-copynumber")
8455 (version "1.36.0")
8456 (source (origin
8457 (method url-fetch)
8458 (uri (bioconductor-uri "copynumber" version))
8459 (sha256
8460 (base32
8461 "1gr8q9ri49x8qlmbsi6k6wcak1w9v48wr1qy7axc86brzx6z6mhd"))))
8462 (build-system r-build-system)
8463 (propagated-inputs
8464 (list r-s4vectors r-iranges r-genomicranges r-biocgenerics))
8465 (home-page "https://bioconductor.org/packages/copynumber")
8466 (synopsis "Segmentation of single- and multi-track copy number data")
8467 (description
8468 "This package segments single- and multi-track copy number data by a
8469 penalized least squares regression method.")
8470 (license license:artistic2.0)))
8471
8472 (define-public r-dnacopy
8473 (package
8474 (name "r-dnacopy")
8475 (version "1.70.0")
8476 (source
8477 (origin
8478 (method url-fetch)
8479 (uri (bioconductor-uri "DNAcopy" version))
8480 (sha256
8481 (base32
8482 "10bh4p8nbl84rfngsm3bi9w542m159kff95f8c2hvjcxv5yw7iwc"))))
8483 (properties `((upstream-name . "DNAcopy")))
8484 (build-system r-build-system)
8485 (native-inputs (list gfortran))
8486 (home-page "https://bioconductor.org/packages/DNAcopy")
8487 (synopsis "DNA copy number data analysis")
8488 (description
8489 "This package implements the @dfn{circular binary segmentation} (CBS)
8490 algorithm to segment DNA copy number data and identify genomic regions with
8491 abnormal copy number.")
8492 (license license:gpl2+)))
8493
8494 ;; This is a CRAN package, but it uncharacteristically depends on a
8495 ;; Bioconductor package.
8496 (define-public r-htscluster
8497 (package
8498 (name "r-htscluster")
8499 (version "2.0.10")
8500 (source
8501 (origin
8502 (method url-fetch)
8503 (uri (cran-uri "HTSCluster" version))
8504 (sha256
8505 (base32
8506 "0scn4fsfmlkzxibfhsh6krm2cl9c8hsmyjgn48k9dyjf0ylyxg9n"))))
8507 (properties `((upstream-name . "HTSCluster")))
8508 (build-system r-build-system)
8509 (propagated-inputs
8510 (list r-capushe r-edger r-plotrix))
8511 (home-page "https://cran.r-project.org/web/packages/HTSCluster")
8512 (synopsis "Clustering high-throughput transcriptome sequencing (HTS) data")
8513 (description
8514 "This package provides a Poisson mixture model is implemented to cluster
8515 genes from high-throughput transcriptome sequencing (RNA-seq) data. Parameter
8516 estimation is performed using either the EM or CEM algorithm, and the slope
8517 heuristics are used for model selection (i.e., to choose the number of
8518 clusters).")
8519 (license license:gpl3+)))
8520
8521 (define-public r-deds
8522 (package
8523 (name "r-deds")
8524 (version "1.60.0")
8525 (source
8526 (origin
8527 (method url-fetch)
8528 (uri (bioconductor-uri "DEDS" version))
8529 (sha256
8530 (base32
8531 "0vzsmah2lhxf8k6n4d0i4j609sbvygmb6ii2ridg9z3nskwkrhp8"))))
8532 (properties `((upstream-name . "DEDS")))
8533 (build-system r-build-system)
8534 (home-page "https://bioconductor.org/packages/DEDS/")
8535 (synopsis "Differential expression via distance summary for microarray data")
8536 (description
8537 "This library contains functions that calculate various statistics of
8538 differential expression for microarray data, including t statistics, fold
8539 change, F statistics, SAM, moderated t and F statistics and B statistics. It
8540 also implements a new methodology called DEDS (Differential Expression via
8541 Distance Summary), which selects differentially expressed genes by integrating
8542 and summarizing a set of statistics using a weighted distance approach.")
8543 ;; Any version of the LGPL.
8544 (license license:lgpl3+)))
8545
8546 ;; This is a CRAN package, but since it depends on a Bioconductor package we
8547 ;; put it here.
8548 (define-public r-nbpseq
8549 (package
8550 (name "r-nbpseq")
8551 (version "0.3.1")
8552 (source
8553 (origin
8554 (method url-fetch)
8555 (uri (cran-uri "NBPSeq" version))
8556 (sha256
8557 (base32
8558 "07mnnk4n0cyksp1mw36y6369is62kxsfg3wb8d3dwswycdmj8m14"))))
8559 (properties `((upstream-name . "NBPSeq")))
8560 (build-system r-build-system)
8561 (propagated-inputs
8562 (list r-qvalue))
8563 (home-page "https://cran.r-project.org/web/packages/NBPSeq")
8564 (synopsis "Negative binomial models for RNA-Seq data")
8565 (description
8566 "This package provides negative binomial models for two-group comparisons
8567 and regression inferences from RNA-sequencing data.")
8568 (license license:gpl2)))
8569
8570 (define-public r-ebseq
8571 (package
8572 (name "r-ebseq")
8573 (version "1.36.0")
8574 (source
8575 (origin
8576 (method url-fetch)
8577 (uri (bioconductor-uri "EBSeq" version))
8578 (sha256
8579 (base32
8580 "192xl9fwsh04w563yk33mfl303d1kqby2ssbqkckqsdr4jb7d57y"))))
8581 (properties `((upstream-name . "EBSeq")))
8582 (build-system r-build-system)
8583 (propagated-inputs
8584 (list r-blockmodeling r-gplots r-testthat))
8585 (home-page "https://bioconductor.org/packages/EBSeq")
8586 (synopsis "Differential expression analysis of RNA-seq data")
8587 (description
8588 "This package provides tools for differential expression analysis at both
8589 gene and isoform level using RNA-seq data")
8590 (license license:artistic2.0)))
8591
8592 (define-public r-karyoploter
8593 (package
8594 (name "r-karyoploter")
8595 (version "1.22.0")
8596 (source (origin
8597 (method url-fetch)
8598 (uri (bioconductor-uri "karyoploteR" version))
8599 (sha256
8600 (base32
8601 "0hawq9wi3ikvlcdgnjfy5fiiwfq22zwx1p8xf5h4bpypp96pknsk"))))
8602 (build-system r-build-system)
8603 (propagated-inputs
8604 (list r-annotationdbi
8605 r-bamsignals
8606 r-bezier
8607 r-biovizbase
8608 r-digest
8609 r-genomeinfodb
8610 r-genomicfeatures
8611 r-genomicranges
8612 r-iranges
8613 r-memoise
8614 r-regioner
8615 r-rsamtools
8616 r-rtracklayer
8617 r-s4vectors
8618 r-variantannotation))
8619 (native-inputs
8620 (list r-knitr))
8621 (home-page "https://bioconductor.org/packages/karyoploteR/")
8622 (synopsis "Plot customizable linear genomes displaying arbitrary data")
8623 (description "This package creates karyotype plots of arbitrary genomes and
8624 offers a complete set of functions to plot arbitrary data on them. It mimics
8625 many R base graphics functions coupling them with a coordinate change function
8626 automatically mapping the chromosome and data coordinates into the plot
8627 coordinates.")
8628 (license license:artistic2.0)))
8629
8630 (define-public r-lpsymphony
8631 (package
8632 (name "r-lpsymphony")
8633 (version "1.24.0")
8634 (source
8635 (origin
8636 (method url-fetch)
8637 (uri (bioconductor-uri "lpsymphony" version))
8638 (sha256
8639 (base32
8640 "0kc708ss5byzw8qh439mb4nq6hsfmz73gfamiznw3lv352brd33g"))))
8641 (build-system r-build-system)
8642 (arguments
8643 (list
8644 #:phases
8645 '(modify-phases %standard-phases
8646 (add-after 'unpack 'make-build-order-reproducible
8647 (lambda _
8648 (substitute* '("src/SYMPHONY/Cgl/configure.ac"
8649 "src/SYMPHONY/Cgl/configure")
8650 (("for file in `ls \\*/Makefile.in`")
8651 "for file in `ls */Makefile.in | sort`")))))))
8652 (inputs
8653 (list zlib))
8654 (native-inputs
8655 (list pkg-config r-knitr))
8656 (home-page "https://r-forge.r-project.org/projects/rsymphony")
8657 (synopsis "Symphony integer linear programming solver in R")
8658 (description
8659 "This package was derived from Rsymphony. The package provides an R
8660 interface to SYMPHONY, a linear programming solver written in C++. The main
8661 difference between this package and Rsymphony is that it includes the solver
8662 source code, while Rsymphony expects to find header and library files on the
8663 users' system. Thus the intention of @code{lpsymphony} is to provide an easy
8664 to install interface to SYMPHONY.")
8665 ;; Symphony 5.4 or later is distributed under the terms of the EPL 1.0.
8666 ;; lpsimphony is released under the same terms.
8667 (license license:epl1.0)))
8668
8669 (define-public r-ihw
8670 (package
8671 (name "r-ihw")
8672 (version "1.24.0")
8673 (source
8674 (origin
8675 (method url-fetch)
8676 (uri (bioconductor-uri "IHW" version))
8677 (sha256
8678 (base32
8679 "1gsfy75dz7xh16z844llcmjnp0a0ridszmrbbv2bdaa43na5msmf"))))
8680 (properties `((upstream-name . "IHW")))
8681 (build-system r-build-system)
8682 (propagated-inputs
8683 (list r-biocgenerics r-fdrtool r-lpsymphony r-slam))
8684 (native-inputs
8685 (list r-knitr))
8686 (home-page "https://bioconductor.org/packages/IHW")
8687 (synopsis "Independent hypothesis weighting")
8688 (description
8689 "@dfn{Independent hypothesis weighting} (IHW) is a multiple testing
8690 procedure that increases power compared to the method of Benjamini and
8691 Hochberg by assigning data-driven weights to each hypothesis. The input to
8692 IHW is a two-column table of p-values and covariates. The covariate can be
8693 any continuous-valued or categorical variable that is thought to be
8694 informative on the statistical properties of each hypothesis test, while it is
8695 independent of the p-value under the null hypothesis.")
8696 (license license:artistic2.0)))
8697
8698 (define-public r-icobra
8699 (package
8700 (name "r-icobra")
8701 (version "1.24.1")
8702 (source
8703 (origin
8704 (method url-fetch)
8705 (uri (bioconductor-uri "iCOBRA" version))
8706 (sha256
8707 (base32
8708 "1gvra5bgsf6lvs4f2md3xx7xxsx4j8079c2nr8vz9lvy2sfyl6s9"))))
8709 (properties `((upstream-name . "iCOBRA")))
8710 (build-system r-build-system)
8711 (propagated-inputs
8712 (list r-dplyr
8713 r-dt
8714 r-ggplot2
8715 r-limma
8716 r-markdown
8717 r-reshape2
8718 r-rocr
8719 r-scales
8720 r-shiny
8721 r-shinybs
8722 r-shinydashboard
8723 r-upsetr))
8724 (native-inputs
8725 (list r-knitr))
8726 (home-page "https://bioconductor.org/packages/iCOBRA")
8727 (synopsis "Comparison and visualization of ranking and assignment methods")
8728 (description
8729 "This package provides functions for calculation and visualization of
8730 performance metrics for evaluation of ranking and binary
8731 classification (assignment) methods. It also contains a Shiny application for
8732 interactive exploration of results.")
8733 (license license:gpl2+)))
8734
8735 (define-public r-residualmatrix
8736 (package
8737 (name "r-residualmatrix")
8738 (version "1.6.1")
8739 (source
8740 (origin
8741 (method url-fetch)
8742 (uri (bioconductor-uri "ResidualMatrix" version))
8743 (sha256
8744 (base32
8745 "1530706c7b53h9m8smgnaj63rgdbm3hd09n7jwy6zc0y6qcffckd"))))
8746 (properties
8747 `((upstream-name . "ResidualMatrix")))
8748 (build-system r-build-system)
8749 (propagated-inputs
8750 (list r-delayedarray r-matrix r-s4vectors))
8751 (native-inputs
8752 (list r-knitr))
8753 (home-page "https://github.com/LTLA/ResidualMatrix")
8754 (synopsis "Create a DelayedMatrix of regression residuals")
8755 (description
8756 "This package implements tools for delayed computation of a matrix of
8757 residuals after fitting a linear model to each column of an input matrix. It
8758 also supports partial computation of residuals where selected factors are to
8759 be preserved in the output matrix. It implements a number of efficient
8760 methods for operating on the delayed matrix of residuals, most notably matrix
8761 multiplication and calculation of row/column sums or means.")
8762 (license license:gpl3)))
8763
8764 (define-public r-batchelor
8765 (package
8766 (name "r-batchelor")
8767 (version "1.12.3")
8768 (source
8769 (origin
8770 (method url-fetch)
8771 (uri (bioconductor-uri "batchelor" version))
8772 (sha256
8773 (base32
8774 "00ix3hvhgalxg63qnynv2waa273jk336lg47k72qwxfzimsxfjxc"))))
8775 (properties `((upstream-name . "batchelor")))
8776 (build-system r-build-system)
8777 (propagated-inputs
8778 (list r-beachmat
8779 r-biocgenerics
8780 r-biocneighbors
8781 r-biocparallel
8782 r-biocsingular
8783 r-delayedarray
8784 r-delayedmatrixstats
8785 r-igraph
8786 r-matrix
8787 r-rcpp
8788 r-residualmatrix
8789 r-s4vectors
8790 r-scaledmatrix
8791 r-scuttle
8792 r-singlecellexperiment
8793 r-summarizedexperiment))
8794 (native-inputs (list r-knitr))
8795 (home-page "https://bioconductor.org/packages/batchelor")
8796 (synopsis "Single-Cell Batch Correction Methods")
8797 (description
8798 "This package implements a variety of methods for batch correction of
8799 single-cell (RNA sequencing) data. This includes methods based on detecting
8800 mutually nearest neighbors, as well as several efficient variants of linear
8801 regression of the log-expression values. Functions are also provided to
8802 perform global rescaling to remove differences in depth between batches, and
8803 to perform a principal components analysis that is robust to differences in
8804 the numbers of cells across batches.")
8805 (license license:gpl3)))
8806
8807 (define-public r-mast
8808 (package
8809 (name "r-mast")
8810 (version "1.22.0")
8811 (source
8812 (origin
8813 (method url-fetch)
8814 (uri (bioconductor-uri "MAST" version))
8815 (sha256
8816 (base32
8817 "1kmrqxcfzzcs8l33n9qn0vahc6wxq6ks3cjx95vg96maf2qzhzzi"))))
8818 (properties `((upstream-name . "MAST")))
8819 (build-system r-build-system)
8820 (propagated-inputs
8821 (list r-abind
8822 r-biobase
8823 r-biocgenerics
8824 r-data-table
8825 r-ggplot2
8826 r-plyr
8827 r-progress
8828 r-reshape2
8829 r-s4vectors
8830 r-singlecellexperiment
8831 r-stringr
8832 r-summarizedexperiment))
8833 (native-inputs
8834 (list r-knitr))
8835 (home-page "https://github.com/RGLab/MAST/")
8836 (synopsis "Model-based analysis of single cell transcriptomics")
8837 (description
8838 "This package provides methods and models for handling zero-inflated
8839 single cell assay data.")
8840 (license license:gpl2+)))
8841
8842 (define-public r-monocle
8843 (package
8844 (name "r-monocle")
8845 (version "2.24.1")
8846 (source
8847 (origin
8848 (method url-fetch)
8849 (uri (bioconductor-uri "monocle" version))
8850 (sha256
8851 (base32
8852 "11g1wx0f1yzhg3x1aa3d5l7pqlzxj16s0gha21skxkgld8k2x8xn"))))
8853 (build-system r-build-system)
8854 (propagated-inputs
8855 (list r-biobase
8856 r-biocgenerics
8857 r-biocviews
8858 r-cluster
8859 r-combinat
8860 r-ddrtree
8861 r-dplyr
8862 r-fastica
8863 r-ggplot2
8864 r-hsmmsinglecell
8865 r-igraph
8866 r-irlba
8867 r-leidenbase
8868 r-limma
8869 r-mass
8870 r-matrix
8871 r-matrixstats
8872 r-pheatmap
8873 r-plyr
8874 r-proxy
8875 r-qlcmatrix
8876 r-rann
8877 r-rcpp
8878 r-reshape2
8879 r-rtsne
8880 r-slam
8881 r-stringr
8882 r-tibble
8883 r-vgam
8884 r-viridis))
8885 (native-inputs
8886 (list r-knitr))
8887 (home-page "https://bioconductor.org/packages/monocle")
8888 (synopsis "Clustering, differential expression, and trajectory analysis for single-cell RNA-Seq")
8889 (description
8890 "Monocle performs differential expression and time-series analysis for
8891 single-cell expression experiments. It orders individual cells according to
8892 progress through a biological process, without knowing ahead of time which
8893 genes define progress through that process. Monocle also performs
8894 differential expression analysis, clustering, visualization, and other useful
8895 tasks on single cell expression data. It is designed to work with RNA-Seq and
8896 qPCR data, but could be used with other types as well.")
8897 (license license:artistic2.0)))
8898
8899 (define-public r-leidenbase
8900 (let ((commit "a11b8455fa3307d9e3ac4e3a5accddf3c83b9a96")
8901 (revision "1"))
8902 (package
8903 (name "r-leidenbase")
8904 (version (git-version "0.1.9" revision commit))
8905 (source
8906 (origin
8907 (method git-fetch)
8908 (uri (git-reference
8909 (url "https://github.com/cole-trapnell-lab/leidenbase")
8910 (commit commit)))
8911 (file-name (git-file-name name version))
8912 (sha256
8913 (base32
8914 "1f54mycsffvzmblz5pzgs3v4jygnbvz0c9d3x710gw5mxkq2p84f"))))
8915 (properties `((upstream-name . "leidenbase")))
8916 (build-system r-build-system)
8917 (inputs
8918 (list zlib))
8919 (native-inputs
8920 (list gfortran))
8921 (propagated-inputs
8922 (list r-igraph))
8923 (home-page "https://github.com/cole-trapnell-lab/leidenbase")
8924 (synopsis "R and C wrappers to run the Leiden find_partition function")
8925 (description
8926 "This package provides an R to C interface that runs the Leiden
8927 community detection algorithm to find a basic partition. It runs the
8928 equivalent of the @code{find_partition} function. This package includes the
8929 required source code files from the official Leidenalg distribution and
8930 several functions from the R igraph package.")
8931 (license license:gpl3+))))
8932
8933 (define-public r-sanssouci
8934 ;; sansscouci doesn't have a (versioned) release yet.
8935 ;; This is the latest commit as of packaging for Guix.
8936 (let ((commit "5fe20a9aaf4ac637fa83d9cc73ff1c22de97ca6f")
8937 (revision "1"))
8938 (package
8939 (name "r-sanssouci")
8940 (version (git-version "0" revision commit))
8941 (source (origin
8942 (method git-fetch)
8943 (uri (git-reference
8944 (url "https://github.com/pneuvial/sanssouci.git")
8945 (commit commit)))
8946 (file-name (git-file-name name version))
8947 (sha256
8948 (base32
8949 "13ycdd790qw64qy2zdvcrpj3fc8as628rsly32438d3rifnlc5sk"))))
8950 (build-system r-build-system)
8951 (propagated-inputs
8952 (list r-generics r-matrix r-matrixstats r-rcpp r-rcpparmadillo))
8953 (home-page "https://pneuvial.github.io/sanssouci")
8954 (synopsis "Post Hoc multiple testing inference")
8955 (description
8956 "The goal of sansSouci is to perform post hoc inference: in a multiple
8957 testing context, sansSouci provides statistical guarantees on possibly
8958 user-defined and/or data-driven sets of hypotheses.")
8959 (license license:gpl3))))
8960
8961 (define-public r-monocle3
8962 (package
8963 (name "r-monocle3")
8964 (version "1.0.0")
8965 (source
8966 (origin
8967 (method git-fetch)
8968 (uri (git-reference
8969 (url "https://github.com/cole-trapnell-lab/monocle3")
8970 (commit version)))
8971 (file-name (git-file-name name version))
8972 (sha256
8973 (base32
8974 "16vpvlbms8fdvpfwzcig0rkg2mxnsq1h80d2l7q3953wm91qc9x4"))))
8975 (build-system r-build-system)
8976 (propagated-inputs
8977 (list r-assertthat
8978 r-batchelor
8979 r-biobase
8980 r-biocgenerics
8981 r-delayedmatrixstats
8982 r-dplyr
8983 r-ggplot2
8984 r-ggrepel
8985 r-grr
8986 r-htmlwidgets
8987 r-igraph
8988 r-irlba
8989 r-leidenbase
8990 r-limma
8991 r-lmtest
8992 r-mass
8993 r-matrix
8994 r-matrix-utils
8995 r-pbapply
8996 r-pbmcapply
8997 r-pheatmap
8998 r-plotly
8999 r-pryr
9000 r-proxy
9001 r-pscl
9002 r-purrr
9003 r-rann
9004 r-rcpp
9005 r-rcppparallel
9006 r-reshape2
9007 r-reticulate
9008 r-rhpcblasctl
9009 r-rsample
9010 r-rtsne
9011 r-shiny
9012 r-slam
9013 r-spdep
9014 r-speedglm
9015 r-stringr
9016 r-singlecellexperiment
9017 r-tibble
9018 r-tidyr
9019 r-uwot
9020 r-viridis))
9021 (home-page "https://github.com/cole-trapnell-lab/monocle3")
9022 (synopsis "Analysis toolkit for single-cell RNA-Seq data")
9023 (description
9024 "Monocle 3 is an analysis toolkit for single-cell RNA-Seq experiments.")
9025 (license license:expat)))
9026
9027 (define-public r-noiseq
9028 (package
9029 (name "r-noiseq")
9030 (version "2.40.0")
9031 (source
9032 (origin
9033 (method url-fetch)
9034 (uri (bioconductor-uri "NOISeq" version))
9035 (sha256
9036 (base32
9037 "0ah6adlhv4254jkssinn2ik8n811hd1nw85bnzqk2kwhl49nrk27"))))
9038 (properties `((upstream-name . "NOISeq")))
9039 (build-system r-build-system)
9040 (propagated-inputs
9041 (list r-biobase r-matrix))
9042 (home-page "https://bioconductor.org/packages/NOISeq")
9043 (synopsis "Exploratory analysis and differential expression for RNA-seq data")
9044 (description
9045 "This package provides tools to support the analysis of RNA-seq
9046 expression data or other similar kind of data. It provides exploratory plots
9047 to evaluate saturation, count distribution, expression per chromosome, type of
9048 detected features, features length, etc. It also supports the analysis of
9049 differential expression between two experimental conditions with no parametric
9050 assumptions.")
9051 (license license:artistic2.0)))
9052
9053 (define-public r-scdd
9054 (package
9055 (name "r-scdd")
9056 (version "1.20.0")
9057 (source
9058 (origin
9059 (method url-fetch)
9060 (uri (bioconductor-uri "scDD" version))
9061 (sha256
9062 (base32
9063 "0bjww338z5qf2g97kbh85h9kpagjr59ff9f4alm33h16xz5mb7k0"))))
9064 (properties `((upstream-name . "scDD")))
9065 (build-system r-build-system)
9066 (propagated-inputs
9067 (list r-arm
9068 r-biocparallel
9069 r-ebseq
9070 r-fields
9071 r-ggplot2
9072 r-mclust
9073 r-outliers
9074 r-s4vectors
9075 r-scran
9076 r-singlecellexperiment
9077 r-summarizedexperiment))
9078 (native-inputs
9079 (list r-knitr))
9080 (home-page "https://github.com/kdkorthauer/scDD")
9081 (synopsis "Mixture modeling of single-cell RNA-seq data")
9082 (description
9083 "This package implements a method to analyze single-cell RNA-seq data
9084 utilizing flexible Dirichlet Process mixture models. Genes with differential
9085 distributions of expression are classified into several interesting patterns
9086 of differences between two conditions. The package also includes functions
9087 for simulating data with these patterns from negative binomial
9088 distributions.")
9089 (license license:gpl2)))
9090
9091 (define-public r-scone
9092 (package
9093 (name "r-scone")
9094 (version "1.20.0")
9095 (source
9096 (origin
9097 (method url-fetch)
9098 (uri (bioconductor-uri "scone" version))
9099 (sha256
9100 (base32
9101 "05id34n6min03ha1chg5mrvx399qm2mby9kxkaz5w8fbidp97851"))))
9102 (build-system r-build-system)
9103 (propagated-inputs
9104 (list r-aroma-light
9105 r-biocparallel
9106 r-boot
9107 r-class
9108 r-cluster
9109 r-compositions
9110 r-diptest
9111 r-edger
9112 r-fpc
9113 r-gplots
9114 r-hexbin
9115 r-limma
9116 r-matrixgenerics
9117 r-matrixstats
9118 r-mixtools
9119 r-rarpack
9120 r-rcolorbrewer
9121 r-rhdf5
9122 r-ruvseq
9123 r-singlecellexperiment
9124 r-summarizedexperiment))
9125 (native-inputs
9126 (list r-knitr))
9127 (home-page "https://bioconductor.org/packages/scone")
9128 (synopsis "Single cell overview of normalized expression data")
9129 (description
9130 "SCONE is an R package for comparing and ranking the performance of
9131 different normalization schemes for single-cell RNA-seq and other
9132 high-throughput analyses.")
9133 (license license:artistic2.0)))
9134
9135 (define-public r-geoquery
9136 (package
9137 (name "r-geoquery")
9138 (version "2.64.2")
9139 (source
9140 (origin
9141 (method url-fetch)
9142 (uri (bioconductor-uri "GEOquery" version))
9143 (sha256
9144 (base32
9145 "1cvkvq2haz831qi8w0gd3ayvxfxsl0z5klhki4gkfi9xqdv1gi9x"))))
9146 (properties `((upstream-name . "GEOquery")))
9147 (build-system r-build-system)
9148 (propagated-inputs
9149 (list r-biobase
9150 r-curl
9151 r-data-table
9152 r-dplyr
9153 r-limma
9154 r-magrittr
9155 r-r-utils
9156 r-readr
9157 r-tidyr
9158 r-xml2))
9159 (native-inputs
9160 (list r-knitr))
9161 (home-page "https://github.com/seandavi/GEOquery/")
9162 (synopsis "Get data from NCBI Gene Expression Omnibus (GEO)")
9163 (description
9164 "The NCBI Gene Expression Omnibus (GEO) is a public repository of
9165 microarray data. Given the rich and varied nature of this resource, it is
9166 only natural to want to apply BioConductor tools to these data. GEOquery is
9167 the bridge between GEO and BioConductor.")
9168 (license license:gpl2)))
9169
9170 (define-public r-illuminaio
9171 (package
9172 (name "r-illuminaio")
9173 (version "0.38.0")
9174 (source
9175 (origin
9176 (method url-fetch)
9177 (uri (bioconductor-uri "illuminaio" version))
9178 (sha256
9179 (base32
9180 "1xk057a9w4ps8xi8jyw8imkjcicfmzns8g92grn4af7yiip68h62"))))
9181 (build-system r-build-system)
9182 (propagated-inputs
9183 (list r-base64))
9184 (home-page "https://github.com/HenrikBengtsson/illuminaio/")
9185 (synopsis "Parse Illumina microarray output files")
9186 (description
9187 "This package provides tools for parsing Illumina's microarray output
9188 files, including IDAT.")
9189 (license license:gpl2)))
9190
9191 (define-public r-siggenes
9192 (package
9193 (name "r-siggenes")
9194 (version "1.70.0")
9195 (source
9196 (origin
9197 (method url-fetch)
9198 (uri (bioconductor-uri "siggenes" version))
9199 (sha256
9200 (base32
9201 "0amjqm2c8p1vjzx109p7n81wbsbx8rljwn6mbkl7dpi834im9d7l"))))
9202 (build-system r-build-system)
9203 (propagated-inputs
9204 (list r-biobase r-multtest r-scrime))
9205 (home-page "https://bioconductor.org/packages/siggenes/")
9206 (synopsis
9207 "Multiple testing using SAM and Efron's empirical Bayes approaches")
9208 (description
9209 "This package provides tools for the identification of differentially
9210 expressed genes and estimation of the @dfn{False Discovery Rate} (FDR) using
9211 both the Significance Analysis of Microarrays (SAM) and the @dfn{Empirical
9212 Bayes Analyses of Microarrays} (EBAM).")
9213 (license license:lgpl2.0+)))
9214
9215 (define-public r-bumphunter
9216 (package
9217 (name "r-bumphunter")
9218 (version "1.38.0")
9219 (source
9220 (origin
9221 (method url-fetch)
9222 (uri (bioconductor-uri "bumphunter" version))
9223 (sha256
9224 (base32
9225 "0k92ps9chqsimbc7vsr8swg679zfv8nfn5zahbqq4nknhhy7hwxw"))))
9226 (build-system r-build-system)
9227 (propagated-inputs
9228 (list r-annotationdbi
9229 r-biocgenerics
9230 r-dorng
9231 r-foreach
9232 r-genomeinfodb
9233 r-genomicfeatures
9234 r-genomicranges
9235 r-iranges
9236 r-iterators
9237 r-limma
9238 r-locfit
9239 r-matrixstats
9240 r-s4vectors))
9241 (home-page "https://github.com/ririzarr/bumphunter")
9242 (synopsis "Find bumps in genomic data")
9243 (description
9244 "This package provides tools for finding bumps in genomic data in order
9245 to identify differentially methylated regions in epigenetic epidemiology
9246 studies.")
9247 (license license:artistic2.0)))
9248
9249 (define-public r-milor
9250 (package
9251 (name "r-milor")
9252 (version "1.4.0")
9253 (source (origin
9254 (method url-fetch)
9255 (uri (bioconductor-uri "miloR" version))
9256 (sha256
9257 (base32
9258 "1jz9p3grnczx0bpdw6j64x21in8zgm3qy19hmm296har2rx9m5zs"))))
9259 (properties `((upstream-name . "miloR")))
9260 (build-system r-build-system)
9261 (propagated-inputs
9262 (list r-biocgenerics
9263 r-biocneighbors
9264 r-biocparallel
9265 r-biocsingular
9266 r-cowplot
9267 r-dplyr
9268 r-edger
9269 r-ggbeeswarm
9270 r-ggplot2
9271 r-ggraph
9272 r-ggrepel
9273 r-gtools
9274 r-igraph
9275 r-irlba
9276 r-limma
9277 r-matrix
9278 r-matrixstats
9279 r-patchwork
9280 r-rcolorbrewer
9281 r-s4vectors
9282 r-singlecellexperiment
9283 r-stringr
9284 r-summarizedexperiment
9285 r-tibble
9286 r-tidyr))
9287 (native-inputs (list r-knitr))
9288 (home-page "https://marionilab.github.io/miloR")
9289 (synopsis "Differential neighbourhood abundance testing on a graph")
9290 (description
9291 "Milo performs single-cell differential abundance testing. Cell states
9292 are modelled as representative neighbourhoods on a nearest neighbour graph.
9293 Hypothesis testing is performed using a negative bionomial generalized linear
9294 model.")
9295 (license license:gpl3)))
9296
9297 (define-public r-minfi
9298 (package
9299 (name "r-minfi")
9300 (version "1.42.0")
9301 (source
9302 (origin
9303 (method url-fetch)
9304 (uri (bioconductor-uri "minfi" version))
9305 (sha256
9306 (base32
9307 "0255z7w5i5k01w8wn7jkb37h3q7m7vg0szqgk76h330yydnmkrq6"))))
9308 (build-system r-build-system)
9309 (propagated-inputs
9310 (list r-beanplot
9311 r-biobase
9312 r-biocgenerics
9313 r-biocparallel
9314 r-biostrings
9315 r-bumphunter
9316 r-data-table
9317 r-delayedarray
9318 r-delayedmatrixstats
9319 r-genefilter
9320 r-genomeinfodb
9321 r-genomicranges
9322 r-geoquery
9323 r-hdf5array
9324 r-illuminaio
9325 r-iranges
9326 r-lattice
9327 r-limma
9328 r-mass
9329 r-mclust
9330 r-nlme
9331 r-nor1mix
9332 r-preprocesscore
9333 r-quadprog
9334 r-rcolorbrewer
9335 r-reshape
9336 r-s4vectors
9337 r-siggenes
9338 r-summarizedexperiment))
9339 (native-inputs
9340 (list r-knitr))
9341 (home-page "https://github.com/hansenlab/minfi")
9342 (synopsis "Analyze Illumina Infinium DNA methylation arrays")
9343 (description
9344 "This package provides tools to analyze and visualize Illumina Infinium
9345 methylation arrays.")
9346 (license license:artistic2.0)))
9347
9348 (define-public r-methylumi
9349 (package
9350 (name "r-methylumi")
9351 (version "2.42.0")
9352 (source
9353 (origin
9354 (method url-fetch)
9355 (uri (bioconductor-uri "methylumi" version))
9356 (sha256
9357 (base32
9358 "0klkinq55lfj1d4z8gkrv98849079x1l5gd15habw7jq9xxvhjww"))))
9359 (build-system r-build-system)
9360 (propagated-inputs
9361 (list r-annotate
9362 r-annotationdbi
9363 r-biobase
9364 r-biocgenerics
9365 r-fdb-infiniummethylation-hg19
9366 r-genefilter
9367 r-genomeinfodb
9368 r-genomicfeatures
9369 r-genomicranges
9370 r-ggplot2
9371 r-illuminaio
9372 r-iranges
9373 r-lattice
9374 r-matrixstats
9375 r-minfi
9376 r-reshape2
9377 r-s4vectors
9378 r-scales
9379 r-summarizedexperiment))
9380 (native-inputs
9381 (list r-knitr))
9382 (home-page "https://bioconductor.org/packages/methylumi")
9383 (synopsis "Handle Illumina methylation data")
9384 (description
9385 "This package provides classes for holding and manipulating Illumina
9386 methylation data. Based on eSet, it can contain MIAME information, sample
9387 information, feature information, and multiple matrices of data. An
9388 \"intelligent\" import function, methylumiR can read the Illumina text files
9389 and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from
9390 HumanMethylation27 and HumanMethylation450 microarrays. Normalization,
9391 background correction, and quality control features for GoldenGate, Infinium,
9392 and Infinium HD arrays are also included.")
9393 (license license:gpl2)))
9394
9395 (define-public r-lumi
9396 (package
9397 (name "r-lumi")
9398 (version "2.48.0")
9399 (source
9400 (origin
9401 (method url-fetch)
9402 (uri (bioconductor-uri "lumi" version))
9403 (sha256
9404 (base32
9405 "06zmll5j1yymsm3byarhllrz4q1w5mzv267a9g6visn73wan8y9d"))))
9406 (build-system r-build-system)
9407 (propagated-inputs
9408 (list r-affy
9409 r-annotate
9410 r-annotationdbi
9411 r-biobase
9412 r-dbi
9413 r-genomicfeatures
9414 r-genomicranges
9415 r-kernsmooth
9416 r-lattice
9417 r-mass
9418 r-methylumi
9419 r-mgcv
9420 r-nleqslv
9421 r-preprocesscore
9422 r-rsqlite))
9423 (home-page "https://bioconductor.org/packages/lumi")
9424 (synopsis "BeadArray-specific methods for Illumina methylation and expression microarrays")
9425 (description
9426 "The lumi package provides an integrated solution for the Illumina
9427 microarray data analysis. It includes functions of Illumina
9428 BeadStudio (GenomeStudio) data input, quality control, BeadArray-specific
9429 variance stabilization, normalization and gene annotation at the probe level.
9430 It also includes the functions of processing Illumina methylation microarrays,
9431 especially Illumina Infinium methylation microarrays.")
9432 (license license:lgpl2.0+)))
9433
9434 (define-public r-linnorm
9435 (package
9436 (name "r-linnorm")
9437 (version "2.20.0")
9438 (source
9439 (origin
9440 (method url-fetch)
9441 (uri (bioconductor-uri "Linnorm" version))
9442 (sha256
9443 (base32
9444 "1002lllgns5klv3q2wsikkbypa2bafpka7a8mri0y5bfxncfr2zb"))))
9445 (properties `((upstream-name . "Linnorm")))
9446 (build-system r-build-system)
9447 (propagated-inputs
9448 (list r-amap
9449 r-apcluster
9450 r-ellipse
9451 r-fastcluster
9452 r-fpc
9453 r-ggdendro
9454 r-ggplot2
9455 r-gmodels
9456 r-igraph
9457 r-limma
9458 r-mass
9459 r-mclust
9460 r-rcpp
9461 r-rcpparmadillo
9462 r-rtsne
9463 r-statmod
9464 r-vegan
9465 r-zoo))
9466 (native-inputs
9467 (list r-knitr))
9468 (home-page "http://www.jjwanglab.org/Linnorm/")
9469 (synopsis "Linear model and normality based transformation method")
9470 (description
9471 "Linnorm is an R package for the analysis of RNA-seq, scRNA-seq, ChIP-seq
9472 count data or any large scale count data. It transforms such datasets for
9473 parametric tests. In addition to the transformtion function (@code{Linnorm}),
9474 the following pipelines are implemented:
9475
9476 @enumerate
9477 @item Library size/batch effect normalization (@code{Linnorm.Norm})
9478 @item Cell subpopluation analysis and visualization using t-SNE or PCA K-means
9479 clustering or hierarchical clustering (@code{Linnorm.tSNE},
9480 @code{Linnorm.PCA}, @code{Linnorm.HClust})
9481 @item Differential expression analysis or differential peak detection using
9482 limma (@code{Linnorm.limma})
9483 @item Highly variable gene discovery and visualization (@code{Linnorm.HVar})
9484 @item Gene correlation network analysis and visualization (@code{Linnorm.Cor})
9485 @item Stable gene selection for scRNA-seq data; for users without or who do
9486 not want to rely on spike-in genes (@code{Linnorm.SGenes})
9487 @item Data imputation (@code{Linnorm.DataImput}).
9488 @end enumerate
9489
9490 Linnorm can work with raw count, CPM, RPKM, FPKM and TPM. Additionally, the
9491 @code{RnaXSim} function is included for simulating RNA-seq data for the
9492 evaluation of DEG analysis methods.")
9493 (license license:expat)))
9494
9495 (define-public r-ioniser
9496 (package
9497 (name "r-ioniser")
9498 (version "2.20.0")
9499 (source
9500 (origin
9501 (method url-fetch)
9502 (uri (bioconductor-uri "IONiseR" version))
9503 (sha256
9504 (base32
9505 "0cgx1dcfh617l9vr4r3ky8w7f0snl0vpavfd9n1h5n68p0p42dwi"))))
9506 (properties `((upstream-name . "IONiseR")))
9507 (build-system r-build-system)
9508 (propagated-inputs
9509 (list r-biocgenerics
9510 r-biocparallel
9511 r-biostrings
9512 r-bit64
9513 r-dplyr
9514 r-ggplot2
9515 r-magrittr
9516 r-rhdf5
9517 r-shortread
9518 r-stringr
9519 r-tibble
9520 r-tidyr
9521 r-xvector))
9522 (native-inputs
9523 (list r-knitr))
9524 (home-page "https://bioconductor.org/packages/IONiseR/")
9525 (synopsis "Quality assessment tools for Oxford Nanopore MinION data")
9526 (description
9527 "IONiseR provides tools for the quality assessment of Oxford Nanopore
9528 MinION data. It extracts summary statistics from a set of fast5 files and can
9529 be used either before or after base calling. In addition to standard
9530 summaries of the read-types produced, it provides a number of plots for
9531 visualising metrics relative to experiment run time or spatially over the
9532 surface of a flowcell.")
9533 (license license:expat)))
9534
9535 ;; This is a CRAN package, but it depends on multtest from Bioconductor.
9536 (define-public r-mutoss
9537 (package
9538 (name "r-mutoss")
9539 (version "0.1-12")
9540 (source
9541 (origin
9542 (method url-fetch)
9543 (uri (cran-uri "mutoss" version))
9544 (sha256
9545 (base32
9546 "1yk7p7pb2xm38d3j19ysgwmix48lvimbhkhjjwk5jmr1a0ysx298"))))
9547 (properties `((upstream-name . "mutoss")))
9548 (build-system r-build-system)
9549 (propagated-inputs
9550 (list r-multcomp r-multtest r-mvtnorm r-plotrix))
9551 (home-page "https://github.com/kornl/mutoss/")
9552 (synopsis "Unified multiple testing procedures")
9553 (description
9554 "This package is designed to ease the application and comparison of
9555 multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods
9556 are standardized and usable by the accompanying mutossGUI package.")
9557 ;; Any version of the GPL.
9558 (license (list license:gpl2+ license:gpl3+))))
9559
9560 ;; This is a CRAN package, but it depends on mutoss, which depends on multtest
9561 ;; from Bioconductor, so we put it here.
9562 (define-public r-metap
9563 (package
9564 (name "r-metap")
9565 (version "1.8")
9566 (source
9567 (origin
9568 (method url-fetch)
9569 (uri (cran-uri "metap" version))
9570 (sha256
9571 (base32
9572 "0asmypxfxly4xmcjf3yzid5zqlzg88z0brij2splfk4avsl035gf"))))
9573 (build-system r-build-system)
9574 (propagated-inputs
9575 (list r-lattice
9576 r-mathjaxr
9577 r-mutoss
9578 r-qqconf
9579 r-rdpack
9580 r-tfisher))
9581 (home-page "http://www.dewey.myzen.co.uk/meta/meta.html")
9582 (synopsis "Meta-analysis of significance values")
9583 (description
9584 "The canonical way to perform meta-analysis involves using effect sizes.
9585 When they are not available this package provides a number of methods for
9586 meta-analysis of significance values including the methods of Edgington,
9587 Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate
9588 published results; and a routine for graphical display.")
9589 (license license:gpl2)))
9590
9591 (define-public r-tradeseq
9592 (package
9593 (name "r-tradeseq")
9594 (version "1.10.0")
9595 (source (origin
9596 (method url-fetch)
9597 (uri (bioconductor-uri "tradeSeq" version))
9598 (sha256
9599 (base32
9600 "0v9nqxrwa69qhmyaicn2vvs8haha4kzs93iqim306331vadp9qm0"))))
9601 (build-system r-build-system)
9602 (propagated-inputs
9603 (list r-biobase
9604 r-biocparallel
9605 r-edger
9606 r-ggplot2
9607 r-igraph
9608 r-magrittr
9609 r-mass
9610 r-matrix
9611 r-matrixstats
9612 r-mgcv
9613 r-pbapply
9614 r-princurve
9615 r-rcolorbrewer
9616 r-s4vectors
9617 r-singlecellexperiment
9618 r-slingshot
9619 r-summarizedexperiment
9620 r-tibble
9621 r-trajectoryutils
9622 r-viridis))
9623 (native-inputs
9624 (list r-knitr))
9625 (home-page "https://statomics.github.io/tradeSeq/index.html")
9626 (synopsis "Trajectory-based differential expression analysis")
9627 (description
9628 "This package provides a flexible method for fitting regression models that
9629 can be used to find genes that are differentially expressed along one or
9630 multiple lineages in a trajectory. Based on the fitted models, it uses a
9631 variety of tests suited to answer different questions of interest, e.g. the
9632 discovery of genes for which expression is associated with pseudotime, or which
9633 are differentially expressed (in a specific region) along the trajectory. It
9634 fits a negative binomial generalized additive model (GAM) for each gene, and
9635 performs inference on the parameters of the GAM.")
9636 (license license:expat)))
9637
9638 (define-public r-triform
9639 (package
9640 (name "r-triform")
9641 (version "1.29.0")
9642 (source
9643 (origin
9644 (method url-fetch)
9645 (uri (bioconductor-uri "triform" version))
9646 (sha256
9647 (base32
9648 "089b7f6dwpi9abj0ncswbi4s30k45996zb99sh43avw6jcb6qj60"))))
9649 (build-system r-build-system)
9650 (propagated-inputs
9651 (list r-biocgenerics r-iranges r-yaml))
9652 (home-page "https://bioconductor.org/packages/triform/")
9653 (synopsis "Find enriched regions in transcription factor ChIP-sequencing data")
9654 (description
9655 "The Triform algorithm uses model-free statistics to identify peak-like
9656 distributions of TF ChIP sequencing reads, taking advantage of an improved
9657 peak definition in combination with known profile characteristics.")
9658 (license license:gpl2)))
9659
9660 (define-public r-varianttools
9661 (package
9662 (name "r-varianttools")
9663 (version "1.38.0")
9664 (source
9665 (origin
9666 (method url-fetch)
9667 (uri (bioconductor-uri "VariantTools" version))
9668 (sha256
9669 (base32
9670 "18nxcamfgnw4n2ab0czxglw0sqc9wzdqzpjv43lcyyal23lzzsix"))))
9671 (properties `((upstream-name . "VariantTools")))
9672 (build-system r-build-system)
9673 (propagated-inputs
9674 (list r-biobase
9675 r-biocgenerics
9676 r-biocparallel
9677 r-biostrings
9678 r-bsgenome
9679 r-genomeinfodb
9680 r-genomicfeatures
9681 r-genomicranges
9682 r-iranges
9683 r-matrix
9684 r-rsamtools
9685 r-rtracklayer
9686 r-s4vectors
9687 r-variantannotation))
9688 (home-page "https://bioconductor.org/packages/VariantTools/")
9689 (synopsis "Tools for exploratory analysis of variant calls")
9690 (description
9691 "Explore, diagnose, and compare variant calls using filters. The
9692 VariantTools package supports a workflow for loading data, calling single
9693 sample variants and tumor-specific somatic mutations or other sample-specific
9694 variant types (e.g., RNA editing). Most of the functions operate on
9695 alignments (BAM files) or datasets of called variants. The user is expected
9696 to have already aligned the reads with a separate tool, e.g., GSNAP via
9697 gmapR.")
9698 (license license:artistic2.0)))
9699
9700 (define-public r-heatplus
9701 (package
9702 (name "r-heatplus")
9703 (version "3.4.0")
9704 (source
9705 (origin
9706 (method url-fetch)
9707 (uri (bioconductor-uri "Heatplus" version))
9708 (sha256
9709 (base32
9710 "0b1mzxysmrqinp93p587apna8p0llmawblwj93icydqxxm2jkhb1"))))
9711 (properties `((upstream-name . "Heatplus")))
9712 (build-system r-build-system)
9713 (propagated-inputs
9714 (list r-rcolorbrewer))
9715 (home-page "https://github.com/alexploner/Heatplus")
9716 (synopsis "Heatmaps with row and/or column covariates and colored clusters")
9717 (description
9718 "This package provides tools to display a rectangular heatmap (intensity
9719 plot) of a data matrix. By default, both samples (columns) and features (row)
9720 of the matrix are sorted according to a hierarchical clustering, and the
9721 corresponding dendrogram is plotted. Optionally, panels with additional
9722 information about samples and features can be added to the plot.")
9723 (license license:gpl2+)))
9724
9725 (define-public r-gosemsim
9726 (package
9727 (name "r-gosemsim")
9728 (version "2.22.0")
9729 (source
9730 (origin
9731 (method url-fetch)
9732 (uri (bioconductor-uri "GOSemSim" version))
9733 (sha256
9734 (base32
9735 "1hp15pzd0m0g9f8kglyfsgjqxnvxcmm9022xnsrkzfvmj2yw14vd"))))
9736 (properties `((upstream-name . "GOSemSim")))
9737 (build-system r-build-system)
9738 (propagated-inputs
9739 (list r-annotationdbi r-go-db r-rcpp))
9740 (native-inputs
9741 (list r-knitr))
9742 (home-page "https://guangchuangyu.github.io/software/GOSemSim")
9743 (synopsis "GO-terms semantic similarity measures")
9744 (description
9745 "The semantic comparisons of @dfn{Gene Ontology} (GO) annotations provide
9746 quantitative ways to compute similarities between genes and gene groups, and
9747 have became important basis for many bioinformatics analysis approaches.
9748 GOSemSim is an R package for semantic similarity computation among GO terms,
9749 sets of GO terms, gene products and gene clusters.")
9750 (license license:artistic2.0)))
9751
9752 (define-public r-anota
9753 (package
9754 (name "r-anota")
9755 (version "1.44.0")
9756 (source
9757 (origin
9758 (method url-fetch)
9759 (uri (bioconductor-uri "anota" version))
9760 (sha256
9761 (base32
9762 "1x75r5znl8jllqsgzpxsqj62ch11bpwhmyzmbjmb8sz8f8ww923c"))))
9763 (build-system r-build-system)
9764 (propagated-inputs
9765 (list r-multtest r-qvalue))
9766 (home-page "https://bioconductor.org/packages/anota/")
9767 (synopsis "Analysis of translational activity")
9768 (description
9769 "Genome wide studies of translational control is emerging as a tool to
9770 study various biological conditions. The output from such analysis is both
9771 the mRNA level (e.g. cytosolic mRNA level) and the level of mRNA actively
9772 involved in translation (the actively translating mRNA level) for each mRNA.
9773 The standard analysis of such data strives towards identifying differential
9774 translational between two or more sample classes - i.e., differences in
9775 actively translated mRNA levels that are independent of underlying differences
9776 in cytosolic mRNA levels. This package allows for such analysis using partial
9777 variances and the random variance model. As 10s of thousands of mRNAs are
9778 analyzed in parallel the library performs a number of tests to assure that
9779 the data set is suitable for such analysis.")
9780 (license license:gpl3)))
9781
9782 (define-public r-sigpathway
9783 (package
9784 (name "r-sigpathway")
9785 (version "1.64.0")
9786 (source
9787 (origin
9788 (method url-fetch)
9789 (uri (bioconductor-uri "sigPathway" version))
9790 (sha256
9791 (base32
9792 "1c2kwhbxgf66az7ssm2mab9n5x59zy4kxq8vblz5r9636xqaysif"))))
9793 (properties `((upstream-name . "sigPathway")))
9794 (build-system r-build-system)
9795 (home-page "https://www.pnas.org/cgi/doi/10.1073/pnas.0506577102")
9796 (synopsis "Pathway analysis")
9797 (description
9798 "This package is used to conduct pathway analysis by calculating the NT_k
9799 and NE_k statistics in a statistical framework for determining whether a
9800 specified group of genes for a pathway has a coordinated association with a
9801 phenotype of interest.")
9802 (license license:gpl2)))
9803
9804 (define-public r-fcscan
9805 (package
9806 (name "r-fcscan")
9807 (version "1.10.0")
9808 (source
9809 (origin
9810 (method url-fetch)
9811 (uri (bioconductor-uri "fcScan" version))
9812 (sha256
9813 (base32 "0yv7ifw0xxx1v9z8dxszv0cb72q3frd74dyxfbvrcs6x9y9v3jzp"))))
9814 (properties `((upstream-name . "fcScan")))
9815 (build-system r-build-system)
9816 (propagated-inputs
9817 (list r-doparallel
9818 r-foreach
9819 r-genomicranges
9820 r-iranges
9821 r-plyr
9822 r-rtracklayer
9823 r-summarizedexperiment
9824 r-variantannotation))
9825 (native-inputs (list r-knitr))
9826 (home-page "https://bioconductor.org/packages/fcScan")
9827 (synopsis "Detect clusters of coordinates with user defined options")
9828 (description
9829 "This package is used to detect combination of genomic coordinates
9830 falling within a user defined window size along with user defined overlap
9831 between identified neighboring clusters. It can be used for genomic data
9832 where the clusters are built on a specific chromosome or specific strand.
9833 Clustering can be performed with a \"greedy\" option allowing thus the
9834 presence of additional sites within the allowed window size.")
9835 (license license:artistic2.0)))
9836
9837 (define-public r-fgsea
9838 (package
9839 (name "r-fgsea")
9840 (version "1.22.0")
9841 (source
9842 (origin
9843 (method url-fetch)
9844 (uri (bioconductor-uri "fgsea" version))
9845 (sha256
9846 (base32
9847 "0innyggai6l4fpl4qrblzdc52vqw9jaszmip0yr1lv7rzwyl6mpg"))))
9848 (build-system r-build-system)
9849 (propagated-inputs
9850 (list r-bh
9851 r-biocparallel
9852 r-data-table
9853 r-fastmatch
9854 r-ggplot2
9855 r-gridextra
9856 r-matrix
9857 r-rcpp))
9858 (native-inputs
9859 (list r-knitr))
9860 (home-page "https://github.com/ctlab/fgsea/")
9861 (synopsis "Fast gene set enrichment analysis")
9862 (description
9863 "The package implements an algorithm for fast gene set enrichment
9864 analysis. Using the fast algorithm makes more permutations and gets
9865 more fine grained p-values, which allows using accurate standard approaches
9866 to multiple hypothesis correction.")
9867 (license license:expat)))
9868
9869 (define-public r-dose
9870 (package
9871 (name "r-dose")
9872 (version "3.22.1")
9873 (source
9874 (origin
9875 (method url-fetch)
9876 (uri (bioconductor-uri "DOSE" version))
9877 (sha256
9878 (base32
9879 "1mch26kddrhhzgi4bssnyy7bvdhprrncmvxl6zn1cq7g07p5765i"))))
9880 (properties `((upstream-name . "DOSE")))
9881 (build-system r-build-system)
9882 (propagated-inputs
9883 (list r-annotationdbi
9884 r-biocparallel
9885 r-do-db
9886 r-fgsea
9887 r-ggplot2
9888 r-gosemsim
9889 r-qvalue
9890 r-reshape2))
9891 (native-inputs
9892 (list r-knitr))
9893 (home-page "https://guangchuangyu.github.io/software/DOSE/")
9894 (synopsis "Disease ontology semantic and enrichment analysis")
9895 (description
9896 "This package implements five methods proposed by Resnik, Schlicker,
9897 Jiang, Lin and Wang, respectively, for measuring semantic similarities among
9898 @dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses
9899 including hypergeometric model and gene set enrichment analysis are also
9900 implemented for discovering disease associations of high-throughput biological
9901 data.")
9902 (license license:artistic2.0)))
9903
9904 (define-public r-enrichplot
9905 (package
9906 (name "r-enrichplot")
9907 (version "1.16.2")
9908 (source
9909 (origin
9910 (method url-fetch)
9911 (uri (bioconductor-uri "enrichplot" version))
9912 (sha256
9913 (base32
9914 "0qh7bci3rn6y2fl45izrdb62jcm6j0zxxg4pyp4mvvgjvka5lnss"))))
9915 (build-system r-build-system)
9916 (propagated-inputs
9917 (list r-aplot
9918 r-dose
9919 r-ggplot2
9920 r-ggraph
9921 r-ggtree
9922 r-gosemsim
9923 r-igraph
9924 r-magrittr
9925 r-plyr
9926 r-purrr
9927 r-rcolorbrewer
9928 r-reshape2
9929 r-scatterpie
9930 r-shadowtext
9931 r-yulab-utils))
9932 (native-inputs
9933 (list r-knitr))
9934 (home-page "https://github.com/GuangchuangYu/enrichplot")
9935 (synopsis "Visualization of functional enrichment result")
9936 (description
9937 "The enrichplot package implements several visualization methods for
9938 interpreting functional enrichment results obtained from ORA or GSEA analyses.
9939 All the visualization methods are developed based on ggplot2 graphics.")
9940 (license license:artistic2.0)))
9941
9942 (define-public r-clusterprofiler
9943 (package
9944 (name "r-clusterprofiler")
9945 (version "4.4.4")
9946 (source
9947 (origin
9948 (method url-fetch)
9949 (uri (bioconductor-uri "clusterProfiler" version))
9950 (sha256
9951 (base32
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9953 (properties
9954 `((upstream-name . "clusterProfiler")))
9955 (build-system r-build-system)
9956 (propagated-inputs
9957 (list r-annotationdbi
9958 r-dose
9959 r-downloader
9960 r-dplyr
9961 r-enrichplot
9962 r-go-db
9963 r-gosemsim
9964 r-magrittr
9965 r-plyr
9966 r-qvalue
9967 r-rlang
9968 r-tidyr
9969 r-yulab-utils))
9970 (native-inputs
9971 (list r-knitr))
9972 (home-page "https://guangchuangyu.github.io/software/clusterProfiler/")
9973 (synopsis "Analysis and visualization of functional profiles for gene clusters")
9974 (description
9975 "This package implements methods to analyze and visualize functional
9976 profiles (GO and KEGG) of gene and gene clusters.")
9977 (license license:artistic2.0)))
9978
9979 (define-public r-clusterexperiment
9980 (package
9981 (name "r-clusterexperiment")
9982 (version "2.16.0")
9983 (source (origin
9984 (method url-fetch)
9985 (uri (bioconductor-uri "clusterExperiment" version))
9986 (sha256
9987 (base32
9988 "1xd2kxmdg51hhj0zvz7pxmpdvb1sya7prsf9ny2wj2y8ivrqgn4f"))))
9989 (build-system r-build-system)
9990 (native-inputs
9991 (list r-knitr))
9992 (propagated-inputs
9993 (list r-ape
9994 r-biocgenerics
9995 r-biocsingular
9996 r-cluster
9997 r-delayedarray
9998 r-edger
9999 r-hdf5array
10000 r-howmany
10001 r-kernlab
10002 r-limma
10003 r-locfdr
10004 r-matrix
10005 r-matrixstats
10006 r-mbkmeans
10007 r-nmf
10008 r-phylobase
10009 r-pracma
10010 r-rcolorbrewer
10011 r-rcpp
10012 r-s4vectors
10013 r-scales
10014 r-singlecellexperiment
10015 r-stringr
10016 r-summarizedexperiment
10017 r-zinbwave))
10018 (home-page "https://bioconductor.org/packages/clusterExperiment/")
10019 (synopsis "Compare clusterings for single-cell sequencing")
10020 (description "This package provides functionality for running and comparing
10021 many different clusterings of single-cell sequencing data or other large mRNA
10022 expression data sets.")
10023 (license license:artistic2.0)))
10024
10025 (define-public r-mlinterfaces
10026 (package
10027 (name "r-mlinterfaces")
10028 (version "1.76.0")
10029 (source
10030 (origin
10031 (method url-fetch)
10032 (uri (bioconductor-uri "MLInterfaces" version))
10033 (sha256
10034 (base32
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10036 (properties `((upstream-name . "MLInterfaces")))
10037 (build-system r-build-system)
10038 (propagated-inputs
10039 (list r-annotate
10040 r-biobase
10041 r-biocgenerics
10042 r-cluster
10043 r-fpc
10044 r-gbm
10045 r-gdata
10046 r-genefilter
10047 r-ggvis
10048 r-hwriter
10049 r-magrittr
10050 r-mass
10051 r-mlbench
10052 r-pls
10053 r-rcolorbrewer
10054 r-rcpp
10055 r-rpart
10056 r-sfsmisc
10057 r-shiny
10058 r-threejs))
10059 (home-page "https://bioconductor.org/packages/MLInterfaces/")
10060 (synopsis "Interfaces to R machine learning procedures")
10061 (description
10062 "This package provides uniform interfaces to machine learning code for
10063 data in R and Bioconductor containers.")
10064 ;; Any version of the LGPL.
10065 (license license:lgpl2.1+)))
10066
10067 (define-public r-annaffy
10068 (package
10069 (name "r-annaffy")
10070 (version "1.68.0")
10071 (source
10072 (origin
10073 (method url-fetch)
10074 (uri (bioconductor-uri "annaffy" version))
10075 (sha256
10076 (base32
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10078 (build-system r-build-system)
10079 (arguments
10080 `(#:phases
10081 (modify-phases %standard-phases
10082 (add-after 'unpack 'remove-reference-to-non-free-data
10083 (lambda _
10084 (substitute* "DESCRIPTION"
10085 ((", KEGG.db") "")))))))
10086 (propagated-inputs
10087 (list r-annotationdbi r-biobase r-biocmanager r-dbi r-go-db))
10088 (home-page "https://bioconductor.org/packages/annaffy/")
10089 (synopsis "Annotation tools for Affymetrix biological metadata")
10090 (description
10091 "This package provides functions for handling data from Bioconductor
10092 Affymetrix annotation data packages. It produces compact HTML and text
10093 reports including experimental data and URL links to many online databases.
10094 It allows searching of biological metadata using various criteria.")
10095 ;; Any version of the LGPL according to the DESCRIPTION file. A copy of
10096 ;; the LGPL 2.1 is included.
10097 (license license:lgpl2.1+)))
10098
10099 (define-public r-a4core
10100 (package
10101 (name "r-a4core")
10102 (version "1.44.0")
10103 (source
10104 (origin
10105 (method url-fetch)
10106 (uri (bioconductor-uri "a4Core" version))
10107 (sha256
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10110 (properties `((upstream-name . "a4Core")))
10111 (build-system r-build-system)
10112 (propagated-inputs
10113 (list r-biobase r-glmnet))
10114 (native-inputs
10115 (list r-knitr))
10116 (home-page "https://bioconductor.org/packages/a4Core")
10117 (synopsis "Automated Affymetrix array analysis core package")
10118 (description
10119 "This is the core package for the automated analysis of Affymetrix
10120 arrays.")
10121 (license license:gpl3)))
10122
10123 (define-public r-a4classif
10124 (package
10125 (name "r-a4classif")
10126 (version "1.44.0")
10127 (source
10128 (origin
10129 (method url-fetch)
10130 (uri (bioconductor-uri "a4Classif" version))
10131 (sha256
10132 (base32
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10134 (properties `((upstream-name . "a4Classif")))
10135 (build-system r-build-system)
10136 (propagated-inputs
10137 (list r-a4core
10138 r-a4preproc
10139 r-biobase
10140 r-glmnet
10141 r-pamr
10142 r-rocr
10143 r-varselrf))
10144 (native-inputs
10145 (list r-knitr))
10146 (home-page "https://bioconductor.org/packages/a4Classif/")
10147 (synopsis "Automated Affymetrix array analysis classification package")
10148 (description
10149 "This is the classification package for the automated analysis of
10150 Affymetrix arrays.")
10151 (license license:gpl3)))
10152
10153 (define-public r-a4preproc
10154 (package
10155 (name "r-a4preproc")
10156 (version "1.44.0")
10157 (source
10158 (origin
10159 (method url-fetch)
10160 (uri (bioconductor-uri "a4Preproc" version))
10161 (sha256
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10164 (properties `((upstream-name . "a4Preproc")))
10165 (build-system r-build-system)
10166 (propagated-inputs
10167 (list r-biobase r-biocgenerics))
10168 (native-inputs
10169 (list r-knitr))
10170 (home-page "https://bioconductor.org/packages/a4Preproc/")
10171 (synopsis "Automated Affymetrix array analysis preprocessing package")
10172 (description
10173 "This is a package for the automated analysis of Affymetrix arrays. It
10174 is used for preprocessing the arrays.")
10175 (license license:gpl3)))
10176
10177 (define-public r-a4reporting
10178 (package
10179 (name "r-a4reporting")
10180 (version "1.44.0")
10181 (source
10182 (origin
10183 (method url-fetch)
10184 (uri (bioconductor-uri "a4Reporting" version))
10185 (sha256
10186 (base32
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10188 (properties `((upstream-name . "a4Reporting")))
10189 (build-system r-build-system)
10190 (propagated-inputs
10191 (list r-xtable))
10192 (native-inputs
10193 (list r-knitr))
10194 (home-page "https://bioconductor.org/packages/a4Reporting/")
10195 (synopsis "Automated Affymetrix array analysis reporting package")
10196 (description
10197 "This is a package for the automated analysis of Affymetrix arrays. It
10198 provides reporting features.")
10199 (license license:gpl3)))
10200
10201 (define-public r-a4base
10202 (package
10203 (name "r-a4base")
10204 (version "1.44.0")
10205 (source
10206 (origin
10207 (method url-fetch)
10208 (uri (bioconductor-uri "a4Base" version))
10209 (sha256
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10212 (properties `((upstream-name . "a4Base")))
10213 (build-system r-build-system)
10214 (propagated-inputs
10215 (list r-a4core
10216 r-a4preproc
10217 r-annaffy
10218 r-biobase
10219 r-genefilter
10220 r-glmnet
10221 r-gplots
10222 r-limma
10223 r-mpm
10224 r-multtest))
10225 (home-page "https://bioconductor.org/packages/a4Base/")
10226 (synopsis "Automated Affymetrix array analysis base package")
10227 (description
10228 "This package provides basic features for the automated analysis of
10229 Affymetrix arrays.")
10230 (license license:gpl3)))
10231
10232 (define-public r-a4
10233 (package
10234 (name "r-a4")
10235 (version "1.44.0")
10236 (source
10237 (origin
10238 (method url-fetch)
10239 (uri (bioconductor-uri "a4" version))
10240 (sha256
10241 (base32
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10243 (build-system r-build-system)
10244 (propagated-inputs
10245 (list r-a4base r-a4classif r-a4core r-a4preproc r-a4reporting))
10246 (home-page "https://bioconductor.org/packages/a4/")
10247 (synopsis "Automated Affymetrix array analysis umbrella package")
10248 (description
10249 "This package provides a software suite for the automated analysis of
10250 Affymetrix arrays.")
10251 (license license:gpl3)))
10252
10253 (define-public r-abseqr
10254 (package
10255 (name "r-abseqr")
10256 (version "1.14.0")
10257 (source
10258 (origin
10259 (method url-fetch)
10260 (uri (bioconductor-uri "abseqR" version))
10261 (sha256
10262 (base32
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10264 (properties `((upstream-name . "abseqR")))
10265 (build-system r-build-system)
10266 (inputs
10267 (list pandoc))
10268 (propagated-inputs
10269 (list r-biocparallel
10270 r-biocstyle
10271 r-circlize
10272 r-flexdashboard
10273 r-ggcorrplot
10274 r-ggdendro
10275 r-ggplot2
10276 r-gridextra
10277 r-knitr
10278 r-plotly
10279 r-plyr
10280 r-png
10281 r-rcolorbrewer
10282 r-reshape2
10283 r-rmarkdown
10284 r-stringr
10285 r-vegan
10286 r-venndiagram))
10287 (native-inputs
10288 (list r-knitr))
10289 (home-page "https://github.com/malhamdoosh/abseqR")
10290 (synopsis "Reporting and data analysis for Rep-Seq datasets of antibody libraries")
10291 (description
10292 "AbSeq is a comprehensive bioinformatic pipeline for the analysis of
10293 sequencing datasets generated from antibody libraries and abseqR is one of its
10294 packages. AbseqR empowers the users of abseqPy with plotting and reporting
10295 capabilities and allows them to generate interactive HTML reports for the
10296 convenience of viewing and sharing with other researchers. Additionally,
10297 abseqR extends abseqPy to compare multiple repertoire analyses and perform
10298 further downstream analysis on its output.")
10299 (license license:gpl3)))
10300
10301 (define-public r-bacon
10302 (package
10303 (name "r-bacon")
10304 (version "1.24.0")
10305 (source
10306 (origin
10307 (method url-fetch)
10308 (uri (bioconductor-uri "bacon" version))
10309 (sha256
10310 (base32
10311 "1zvcxdj3r892898ik5gq3jdbfig1438qws4bwd465ik8vi7g39v8"))))
10312 (build-system r-build-system)
10313 (propagated-inputs
10314 (list r-biocparallel r-ellipse r-ggplot2))
10315 (native-inputs
10316 (list r-knitr))
10317 (home-page "https://bioconductor.org/packages/bacon/")
10318 (synopsis "Controlling bias and inflation in association studies")
10319 (description
10320 "Bacon can be used to remove inflation and bias often observed in
10321 epigenome- and transcriptome-wide association studies. To this end bacon
10322 constructs an empirical null distribution using a Gibbs Sampling algorithm by
10323 fitting a three-component normal mixture on z-scores.")
10324 (license license:gpl2+)))
10325
10326 (define-public r-rgadem
10327 (package
10328 (name "r-rgadem")
10329 (version "2.44.1")
10330 (source
10331 (origin
10332 (method url-fetch)
10333 (uri (bioconductor-uri "rGADEM" version))
10334 (sha256
10335 (base32
10336 "052z9iavnmkaz9jzz7ycpb8z7qqq3s5k6a04icrwl00wff7zqa2q"))))
10337 (properties `((upstream-name . "rGADEM")))
10338 (build-system r-build-system)
10339 (propagated-inputs
10340 (list r-biostrings r-bsgenome r-genomicranges r-iranges r-seqlogo))
10341 (home-page "https://bioconductor.org/packages/rGADEM/")
10342 (synopsis "De novo sequence motif discovery")
10343 (description
10344 "rGADEM is an efficient de novo motif discovery tool for large-scale
10345 genomic sequence data.")
10346 (license license:artistic2.0)))
10347
10348 (define-public r-motiv
10349 (package
10350 (name "r-motiv")
10351 (version "1.43.0")
10352 (source
10353 (origin
10354 (method url-fetch)
10355 (uri (bioconductor-uri "MotIV" version))
10356 (sha256
10357 (base32
10358 "1yqqymcrnwlpv6h3w80yliv19922g32xqlqszaqjk6zp853qilh6"))))
10359 (properties `((upstream-name . "MotIV")))
10360 (build-system r-build-system)
10361 (inputs
10362 (list gsl))
10363 (propagated-inputs
10364 (list r-biocgenerics
10365 r-biostrings
10366 r-genomicranges
10367 r-iranges
10368 r-lattice
10369 r-rgadem
10370 r-s4vectors))
10371 (home-page "https://bioconductor.org/packages/MotIV/")
10372 (synopsis "Motif identification and validation")
10373 (description
10374 "This package is used for the identification and validation of sequence
10375 motifs. It makes use of STAMP for comparing a set of motifs to a given
10376 database (e.g. JASPAR). It can also be used to visualize motifs, motif
10377 distributions, modules and filter motifs.")
10378 (license license:gpl2)))
10379
10380 (define-public r-motifdb
10381 (package
10382 (name "r-motifdb")
10383 (version "1.38.0")
10384 (source (origin
10385 (method url-fetch)
10386 (uri (bioconductor-uri "MotifDb" version))
10387 (sha256
10388 (base32 "1cyfz0l0yvdii3idaiq5w39yzxlzfpifa4v5pv7hdjfjj83a8rbi"))))
10389 (properties `((upstream-name . "MotifDb")))
10390 (build-system r-build-system)
10391 (propagated-inputs
10392 (list r-biocgenerics
10393 r-biostrings
10394 r-genomicranges
10395 r-iranges
10396 r-rtracklayer
10397 r-s4vectors
10398 r-splitstackshape))
10399 (native-inputs
10400 (list r-knitr))
10401 (home-page "https://www.bioconductor.org/packages/MotifDb/")
10402 (synopsis "Annotated collection of protein-DNA binding sequence motifs")
10403 (description "This package provides more than 2000 annotated position
10404 frequency matrices from nine public sources, for multiple organisms.")
10405 (license license:artistic2.0)))
10406
10407 (define-public r-motifbreakr
10408 (package
10409 (name "r-motifbreakr")
10410 (version "2.10.0")
10411 (source (origin
10412 (method url-fetch)
10413 (uri (bioconductor-uri "motifbreakR" version))
10414 (sha256
10415 (base32 "0sad73jjx52qzp1fmygp6xqvaxwl5szi69f00f94i1pdyq70qhlg"))))
10416 (properties `((upstream-name . "motifbreakR")))
10417 (build-system r-build-system)
10418 (propagated-inputs
10419 (list r-biocgenerics
10420 r-biocparallel
10421 r-biostrings
10422 r-bsgenome
10423 r-genomeinfodb
10424 r-genomicranges
10425 r-gviz
10426 r-iranges
10427 r-matrixstats
10428 r-motifdb
10429 r-motifstack
10430 r-rtracklayer
10431 r-s4vectors
10432 r-stringr
10433 r-summarizedexperiment
10434 r-tfmpvalue
10435 r-variantannotation))
10436 (native-inputs
10437 (list r-knitr))
10438 (home-page "https://www.bioconductor.org/packages/motifbreakR/")
10439 (synopsis "Predicting disruptiveness of single nucleotide polymorphisms")
10440 (description "This package allows biologists to judge in the first place
10441 whether the sequence surrounding the polymorphism is a good match, and in
10442 the second place how much information is gained or lost in one allele of
10443 the polymorphism relative to another. This package gives a choice of
10444 algorithms for interrogation of genomes with motifs from public sources:
10445 @enumerate
10446 @item a weighted-sum probability matrix;
10447 @item log-probabilities;
10448 @item weighted by relative entropy.
10449 @end enumerate
10450
10451 This package can predict effects for novel or previously described variants in
10452 public databases, making it suitable for tasks beyond the scope of its original
10453 design. Lastly, it can be used to interrogate any genome curated within
10454 Bioconductor.")
10455 (license license:gpl2+)))
10456
10457 (define-public r-motifstack
10458 (package
10459 (name "r-motifstack")
10460 (version "1.40.0")
10461 (source
10462 (origin
10463 (method url-fetch)
10464 (uri (bioconductor-uri "motifStack" version))
10465 (sha256
10466 (base32
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10468 (properties `((upstream-name . "motifStack")))
10469 (build-system r-build-system)
10470 (propagated-inputs
10471 (list r-ade4
10472 r-biostrings
10473 r-ggplot2
10474 r-htmlwidgets
10475 r-tfbstools
10476 r-xml))
10477 (native-inputs
10478 (list r-knitr))
10479 (home-page "https://bioconductor.org/packages/motifStack/")
10480 (synopsis "Plot stacked logos for DNA, RNA and amino acid sequences")
10481 (description
10482 "The motifStack package is designed for graphic representation of
10483 multiple motifs with different similarity scores. It works with both DNA/RNA
10484 sequence motifs and amino acid sequence motifs. In addition, it provides the
10485 flexibility for users to customize the graphic parameters such as the font
10486 type and symbol colors.")
10487 (license license:gpl2+)))
10488
10489 (define-public r-genomicscores
10490 (package
10491 (name "r-genomicscores")
10492 (version "2.8.2")
10493 (source
10494 (origin
10495 (method url-fetch)
10496 (uri (bioconductor-uri "GenomicScores" version))
10497 (sha256
10498 (base32
10499 "12rcxw69an1d5q7ar58xy8s871l47imw2nm08j054ivxslx8597j"))))
10500 (properties `((upstream-name . "GenomicScores")))
10501 (build-system r-build-system)
10502 (propagated-inputs
10503 (list r-annotationhub
10504 r-biobase
10505 r-biocfilecache
10506 r-biocgenerics
10507 r-biocmanager
10508 r-biostrings
10509 r-delayedarray
10510 r-genomeinfodb
10511 r-genomicranges
10512 r-hdf5array
10513 r-httr
10514 r-iranges
10515 r-rhdf5
10516 r-s4vectors
10517 r-xml))
10518 (native-inputs
10519 (list r-knitr))
10520 (home-page "https://github.com/rcastelo/GenomicScores/")
10521 (synopsis "Work with genome-wide position-specific scores")
10522 (description
10523 "This package provides infrastructure to store and access genome-wide
10524 position-specific scores within R and Bioconductor.")
10525 (license license:artistic2.0)))
10526
10527 (define-public r-atacseqqc
10528 (package
10529 (name "r-atacseqqc")
10530 (version "1.20.2")
10531 (source
10532 (origin
10533 (method url-fetch)
10534 (uri (bioconductor-uri "ATACseqQC" version))
10535 (sha256
10536 (base32
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10538 (properties `((upstream-name . "ATACseqQC")))
10539 (build-system r-build-system)
10540 (propagated-inputs
10541 (list r-biocgenerics
10542 r-biostrings
10543 r-bsgenome
10544 r-chippeakanno
10545 r-edger
10546 r-genomeinfodb
10547 r-genomicalignments
10548 r-genomicranges
10549 r-genomicscores
10550 r-iranges
10551 r-kernsmooth
10552 r-limma
10553 r-motifstack
10554 r-preseqr
10555 r-randomforest
10556 r-rsamtools
10557 r-rtracklayer
10558 r-s4vectors))
10559 (native-inputs
10560 (list r-knitr))
10561 (home-page "https://bioconductor.org/packages/ATACseqQC/")
10562 (synopsis "ATAC-seq quality control")
10563 (description
10564 "ATAC-seq, an assay for Transposase-Accessible Chromatin using
10565 sequencing, is a rapid and sensitive method for chromatin accessibility
10566 analysis. It was developed as an alternative method to MNase-seq, FAIRE-seq
10567 and DNAse-seq. The ATACseqQC package was developed to help users to quickly
10568 assess whether their ATAC-seq experiment is successful. It includes
10569 diagnostic plots of fragment size distribution, proportion of mitochondria
10570 reads, nucleosome positioning pattern, and CTCF or other Transcript Factor
10571 footprints.")
10572 (license license:gpl2+)))
10573
10574 (define-public r-gofuncr
10575 (package
10576 (name "r-gofuncr")
10577 (version "1.16.0")
10578 (source
10579 (origin
10580 (method url-fetch)
10581 (uri (bioconductor-uri "GOfuncR" version))
10582 (sha256
10583 (base32
10584 "02vdfsjrqp0m06mfbspwkxjyqxfca0w1idgygpi1a9i5m4fqhwpk"))))
10585 (properties `((upstream-name . "GOfuncR")))
10586 (build-system r-build-system)
10587 (propagated-inputs
10588 (list r-annotationdbi
10589 r-genomicranges
10590 r-gtools
10591 r-iranges
10592 r-mapplots
10593 r-rcpp
10594 r-vioplot))
10595 (native-inputs
10596 (list r-knitr))
10597 (home-page "https://bioconductor.org/packages/GOfuncR/")
10598 (synopsis "Gene ontology enrichment using FUNC")
10599 (description
10600 "GOfuncR performs a gene ontology enrichment analysis based on the
10601 ontology enrichment software FUNC. GO-annotations are obtained from
10602 OrganismDb or OrgDb packages (@code{Homo.sapiens} by default); the GO-graph is
10603 included in the package and updated regularly. GOfuncR provides the standard
10604 candidate vs background enrichment analysis using the hypergeometric test, as
10605 well as three additional tests:
10606
10607 @enumerate
10608 @item the Wilcoxon rank-sum test that is used when genes are ranked,
10609 @item a binomial test that is used when genes are associated with two counts,
10610 and
10611 @item a Chi-square or Fisher's exact test that is used in cases when genes are
10612 associated with four counts.
10613 @end enumerate
10614
10615 To correct for multiple testing and interdependency of the tests, family-wise
10616 error rates are computed based on random permutations of the gene-associated
10617 variables. GOfuncR also provides tools for exploring the ontology graph and
10618 the annotations, and options to take gene-length or spatial clustering of
10619 genes into account. It is also possible to provide custom gene coordinates,
10620 annotations and ontologies.")
10621 (license license:gpl2+)))
10622
10623 (define-public r-abaenrichment
10624 (package
10625 (name "r-abaenrichment")
10626 (version "1.24.0")
10627 (source
10628 (origin
10629 (method url-fetch)
10630 (uri (bioconductor-uri "ABAEnrichment" version))
10631 (sha256
10632 (base32
10633 "1sp3f72rzlr822dxx42bswynrwwfx6f520hdhfdikqp13p2y4044"))))
10634 (properties `((upstream-name . "ABAEnrichment")))
10635 (build-system r-build-system)
10636 (propagated-inputs
10637 (list r-abadata
10638 r-data-table
10639 r-gofuncr
10640 r-gplots
10641 r-gtools
10642 r-rcpp))
10643 (native-inputs
10644 (list r-knitr))
10645 (home-page "https://bioconductor.org/packages/ABAEnrichment/")
10646 (synopsis "Gene expression enrichment in human brain regions")
10647 (description
10648 "The package ABAEnrichment is designed to test for enrichment of user
10649 defined candidate genes in the set of expressed genes in different human brain
10650 regions. The core function @code{aba_enrich} integrates the expression of the
10651 candidate gene set (averaged across donors) and the structural information of
10652 the brain using an ontology, both provided by the Allen Brain Atlas project.")
10653 (license license:gpl2+)))
10654
10655 (define-public r-annotationfuncs
10656 (package
10657 (name "r-annotationfuncs")
10658 (version "1.40.0")
10659 (source
10660 (origin
10661 (method url-fetch)
10662 (uri (bioconductor-uri "AnnotationFuncs" version))
10663 (sha256
10664 (base32
10665 "0xsm7741zm81bi4c9hy0zaacnk8a6bahdpc6srqzrbsz0pfzdyhr"))))
10666 (properties
10667 `((upstream-name . "AnnotationFuncs")))
10668 (build-system r-build-system)
10669 (propagated-inputs
10670 (list r-annotationdbi r-dbi))
10671 (home-page "https://www.iysik.com/r/annotationfuncs")
10672 (synopsis "Annotation translation functions")
10673 (description
10674 "This package provides functions for handling translating between
10675 different identifieres using the Biocore Data Team data-packages (e.g.
10676 @code{org.Bt.eg.db}).")
10677 (license license:gpl2)))
10678
10679 (define-public r-annotationtools
10680 (package
10681 (name "r-annotationtools")
10682 (version "1.70.0")
10683 (source
10684 (origin
10685 (method url-fetch)
10686 (uri (bioconductor-uri "annotationTools" version))
10687 (sha256
10688 (base32
10689 "122b424zida3j0vqkn8d06sg3jpc3ngsgidr8kgg00n4cjngkc51"))))
10690 (properties
10691 `((upstream-name . "annotationTools")))
10692 (build-system r-build-system)
10693 (propagated-inputs (list r-biobase))
10694 (home-page "https://bioconductor.org/packages/annotationTools/")
10695 (synopsis "Annotate microarrays and perform gene expression analyses")
10696 (description
10697 "This package provides functions to annotate microarrays, find orthologs,
10698 and integrate heterogeneous gene expression profiles using annotation and
10699 other molecular biology information available as flat file database (plain
10700 text files).")
10701 ;; Any version of the GPL.
10702 (license (list license:gpl2+))))
10703
10704 (define-public r-allelicimbalance
10705 (package
10706 (name "r-allelicimbalance")
10707 (version "1.34.0")
10708 (source
10709 (origin
10710 (method url-fetch)
10711 (uri (bioconductor-uri "AllelicImbalance" version))
10712 (sha256
10713 (base32
10714 "0w4xd0xzkwx7bbhrgqligpahlhg85rginknx520z891r8v0bim2z"))))
10715 (properties
10716 `((upstream-name . "AllelicImbalance")))
10717 (build-system r-build-system)
10718 (propagated-inputs
10719 (list r-annotationdbi
10720 r-biocgenerics
10721 r-biostrings
10722 r-bsgenome
10723 r-genomeinfodb
10724 r-genomicalignments
10725 r-genomicfeatures
10726 r-genomicranges
10727 r-gridextra
10728 r-gviz
10729 r-iranges
10730 r-lattice
10731 r-latticeextra
10732 r-nlme
10733 r-rsamtools
10734 r-s4vectors
10735 r-seqinr
10736 r-summarizedexperiment
10737 r-variantannotation))
10738 (native-inputs
10739 (list r-knitr))
10740 (home-page "https://github.com/pappewaio/AllelicImbalance")
10741 (synopsis "Investigate allele-specific expression")
10742 (description
10743 "This package provides a framework for allele-specific expression
10744 investigation using RNA-seq data.")
10745 (license license:gpl3)))
10746
10747 (define-public r-aucell
10748 (package
10749 (name "r-aucell")
10750 (version "1.18.1")
10751 (source
10752 (origin
10753 (method url-fetch)
10754 (uri (bioconductor-uri "AUCell" version))
10755 (sha256
10756 (base32
10757 "17wr7dycll0l1gax4w268qw7is163bs51rj6p1qnx1dgc9ibnsgr"))))
10758 (properties `((upstream-name . "AUCell")))
10759 (build-system r-build-system)
10760 (propagated-inputs
10761 (list r-biocgenerics
10762 r-data-table
10763 r-delayedarray
10764 r-delayedmatrixstats
10765 r-gseabase
10766 r-mixtools
10767 r-r-utils
10768 r-shiny
10769 r-summarizedexperiment))
10770 (native-inputs
10771 (list r-knitr))
10772 (home-page "https://bioconductor.org/packages/AUCell/")
10773 (synopsis "Analysis of gene set activity in single-cell RNA-seq data")
10774 (description
10775 "AUCell identifies cells with active gene sets (e.g. signatures,
10776 gene modules, etc) in single-cell RNA-seq data. AUCell uses the @dfn{Area
10777 Under the Curve} (AUC) to calculate whether a critical subset of the input
10778 gene set is enriched within the expressed genes for each cell. The
10779 distribution of AUC scores across all the cells allows exploring the relative
10780 expression of the signature. Since the scoring method is ranking-based,
10781 AUCell is independent of the gene expression units and the normalization
10782 procedure. In addition, since the cells are evaluated individually, it can
10783 easily be applied to bigger datasets, subsetting the expression matrix if
10784 needed.")
10785 (license license:gpl3)))
10786
10787 (define-public r-ebimage
10788 (package
10789 (name "r-ebimage")
10790 (version "4.38.0")
10791 (source
10792 (origin
10793 (method url-fetch)
10794 (uri (bioconductor-uri "EBImage" version))
10795 (sha256
10796 (base32
10797 "1vcx45bw36k9daw9dywj5bz77jmqk4gjfwsym8ajjnc1jmlq20si"))))
10798 (properties `((upstream-name . "EBImage")))
10799 (build-system r-build-system)
10800 (propagated-inputs
10801 (list r-abind
10802 r-biocgenerics
10803 r-fftwtools
10804 r-htmltools
10805 r-htmlwidgets
10806 r-jpeg
10807 r-locfit
10808 r-png
10809 r-rcurl
10810 r-tiff))
10811 (native-inputs
10812 (list r-knitr)) ; for vignettes
10813 (home-page "https://github.com/aoles/EBImage")
10814 (synopsis "Image processing and analysis toolbox for R")
10815 (description
10816 "EBImage provides general purpose functionality for image processing and
10817 analysis. In the context of (high-throughput) microscopy-based cellular
10818 assays, EBImage offers tools to segment cells and extract quantitative
10819 cellular descriptors. This allows the automation of such tasks using the R
10820 programming language and facilitates the use of other tools in the R
10821 environment for signal processing, statistical modeling, machine learning and
10822 visualization with image data.")
10823 ;; Any version of the LGPL.
10824 (license license:lgpl2.1+)))
10825
10826 (define-public r-yamss
10827 (package
10828 (name "r-yamss")
10829 (version "1.22.0")
10830 (source
10831 (origin
10832 (method url-fetch)
10833 (uri (bioconductor-uri "yamss" version))
10834 (sha256
10835 (base32
10836 "1lcfxw73cxvpy3bnq28pxdy5128mpq5xklsa0mzxdjyqc4g55hy8"))))
10837 (build-system r-build-system)
10838 (propagated-inputs
10839 (list r-biocgenerics
10840 r-data-table
10841 r-ebimage
10842 r-iranges
10843 r-limma
10844 r-matrix
10845 r-mzr
10846 r-s4vectors
10847 r-summarizedexperiment))
10848 (native-inputs
10849 (list r-knitr))
10850 (home-page "https://github.com/hansenlab/yamss")
10851 (synopsis "Tools for high-throughput metabolomics")
10852 (description
10853 "This package provides tools to analyze and visualize high-throughput
10854 metabolomics data acquired using chromatography-mass spectrometry. These tools
10855 preprocess data in a way that enables reliable and powerful differential
10856 analysis.")
10857 (license license:artistic2.0)))
10858
10859 (define-public r-gtrellis
10860 (package
10861 (name "r-gtrellis")
10862 (version "1.28.0")
10863 (source
10864 (origin
10865 (method url-fetch)
10866 (uri (bioconductor-uri "gtrellis" version))
10867 (sha256
10868 (base32
10869 "1s4xczzv6hz2kyv32xgcq84540w75qr3f644w1s4c3kwxgyq2gff"))))
10870 (build-system r-build-system)
10871 (propagated-inputs
10872 (list r-circlize r-genomicranges r-getoptlong r-iranges))
10873 (native-inputs
10874 (list r-knitr))
10875 (home-page "https://github.com/jokergoo/gtrellis")
10876 (synopsis "Genome level Trellis layout")
10877 (description
10878 "Genome level Trellis graph visualizes genomic data conditioned by
10879 genomic categories (e.g. chromosomes). For each genomic category, multiple
10880 dimensional data which are represented as tracks describe different features
10881 from different aspects. This package provides high flexibility to arrange
10882 genomic categories and to add self-defined graphics in the plot.")
10883 (license license:expat)))
10884
10885 (define-public r-somaticsignatures
10886 (package
10887 (name "r-somaticsignatures")
10888 (version "2.32.0")
10889 (source
10890 (origin
10891 (method url-fetch)
10892 (uri (bioconductor-uri "SomaticSignatures" version))
10893 (sha256
10894 (base32
10895 "1ydnp54laznzpi08s403kxhnr5nqhvm3iilaxlcdlz0ngxhm6vx6"))))
10896 (properties
10897 `((upstream-name . "SomaticSignatures")))
10898 (build-system r-build-system)
10899 (propagated-inputs
10900 (list r-biobase
10901 r-biostrings
10902 r-genomeinfodb
10903 r-genomicranges
10904 r-ggbio
10905 r-ggplot2
10906 r-iranges
10907 r-nmf
10908 r-pcamethods
10909 r-proxy
10910 r-reshape2
10911 r-s4vectors
10912 r-variantannotation))
10913 (native-inputs
10914 (list r-knitr))
10915 (home-page "https://github.com/juliangehring/SomaticSignatures")
10916 (synopsis "Somatic signatures")
10917 (description
10918 "This package identifies mutational signatures of @dfn{single nucleotide
10919 variants} (SNVs). It provides a infrastructure related to the methodology
10920 described in Nik-Zainal (2012, Cell), with flexibility in the matrix
10921 decomposition algorithms.")
10922 (license license:expat)))
10923
10924 (define-public r-yapsa
10925 (package
10926 (name "r-yapsa")
10927 (version "1.22.0")
10928 (source
10929 (origin
10930 (method url-fetch)
10931 (uri (bioconductor-uri "YAPSA" version))
10932 (sha256
10933 (base32
10934 "1klqfif4sadkxw7agywk2ncvcdqsnfb1d6adnacdfdasr8abvhid"))))
10935 (properties `((upstream-name . "YAPSA")))
10936 (build-system r-build-system)
10937 (propagated-inputs
10938 (list r-biostrings
10939 r-bsgenome-hsapiens-ucsc-hg19
10940 r-circlize
10941 r-complexheatmap
10942 r-corrplot
10943 r-dendextend
10944 r-doparallel
10945 r-dplyr
10946 r-genomeinfodb
10947 r-genomicranges
10948 r-getoptlong
10949 r-ggbeeswarm
10950 r-ggplot2
10951 r-gridextra
10952 r-gtrellis
10953 r-keggrest
10954 r-limsolve
10955 r-magrittr
10956 r-pmcmrplus
10957 r-pracma
10958 r-reshape2
10959 r-somaticsignatures
10960 r-variantannotation))
10961 (native-inputs
10962 (list r-knitr))
10963 (home-page "https://bioconductor.org/packages/YAPSA/")
10964 (synopsis "Yet another package for signature analysis")
10965 (description
10966 "This package provides functions and routines useful in the analysis of
10967 somatic signatures (cf. L. Alexandrov et al., Nature 2013). In particular,
10968 functions to perform a signature analysis with known signatures and a
10969 signature analysis on @dfn{stratified mutational catalogue} (SMC) are
10970 provided.")
10971 (license license:gpl3)))
10972
10973 (define-public r-gcrma
10974 (package
10975 (name "r-gcrma")
10976 (version "2.68.0")
10977 (source
10978 (origin
10979 (method url-fetch)
10980 (uri (bioconductor-uri "gcrma" version))
10981 (sha256
10982 (base32
10983 "13a8igr2b02gsa6n3437kb33wg6h7si82fmqi35dzpfzhvx0qf6d"))))
10984 (build-system r-build-system)
10985 (propagated-inputs
10986 (list r-affy
10987 r-affyio
10988 r-biobase
10989 r-biocmanager
10990 r-biostrings
10991 r-xvector))
10992 (home-page "https://bioconductor.org/packages/gcrma/")
10993 (synopsis "Background adjustment using sequence information")
10994 (description
10995 "Gcrma adjusts for background intensities in Affymetrix array data which
10996 include optical noise and @dfn{non-specific binding} (NSB). The main function
10997 @code{gcrma} converts background adjusted probe intensities to expression
10998 measures using the same normalization and summarization methods as a
10999 @dfn{Robust Multiarray Average} (RMA). Gcrma uses probe sequence information
11000 to estimate probe affinity to NSB. The sequence information is summarized in
11001 a more complex way than the simple GC content. Instead, the base types (A, T,
11002 G or C) at each position along the probe determine the affinity of each probe.
11003 The parameters of the position-specific base contributions to the probe
11004 affinity is estimated in an NSB experiment in which only NSB but no
11005 gene-specific binding is expected.")
11006 ;; Any version of the LGPL
11007 (license license:lgpl2.1+)))
11008
11009 (define-public r-simpleaffy
11010 (package
11011 (name "r-simpleaffy")
11012 (version "2.66.0")
11013 (source
11014 (origin
11015 (method url-fetch)
11016 (uri (bioconductor-uri "simpleaffy" version))
11017 (sha256
11018 (base32
11019 "04a11dsqd5y4b39nny94acnh0qhdazjc6d1803izza4vrgmw2csb"))))
11020 (build-system r-build-system)
11021 (propagated-inputs
11022 (list r-affy r-biobase r-biocgenerics r-gcrma r-genefilter))
11023 (home-page "https://bioconductor.org/packages/simpleaffy/")
11024 (synopsis "Very simple high level analysis of Affymetrix data")
11025 (description
11026 "This package provides high level functions for reading Affy @file{.CEL}
11027 files, phenotypic data, and then computing simple things with it, such as
11028 t-tests, fold changes and the like. It makes heavy use of the @code{affy}
11029 library. It also has some basic scatter plot functions and mechanisms for
11030 generating high resolution journal figures.")
11031 (license license:gpl2+)))
11032
11033 (define-public r-yaqcaffy
11034 (package
11035 (name "r-yaqcaffy")
11036 (version "1.50.0")
11037 (source
11038 (origin
11039 (method url-fetch)
11040 (uri (bioconductor-uri "yaqcaffy" version))
11041 (sha256
11042 (base32
11043 "18gphcjj15iivrahp52186bvdg07yd2dvrykfjdd4r1vyf33im96"))))
11044 (build-system r-build-system)
11045 (propagated-inputs
11046 (list r-simpleaffy))
11047 (home-page "https://bioconductor.org/packages/yaqcaffy/")
11048 (synopsis "Affymetrix quality control and reproducibility analysis")
11049 (description
11050 "This is a package that can be used for quality control of Affymetrix
11051 GeneChip expression data and reproducibility analysis of human whole genome
11052 chips with the MAQC reference datasets.")
11053 (license license:artistic2.0)))
11054
11055 (define-public r-quantro
11056 (package
11057 (name "r-quantro")
11058 (version "1.30.0")
11059 (source
11060 (origin
11061 (method url-fetch)
11062 (uri (bioconductor-uri "quantro" version))
11063 (sha256
11064 (base32
11065 "1zfrz7lxyrbf0c8d277npzj1h4six9whkqplvcjmn3li0xj5qng3"))))
11066 (build-system r-build-system)
11067 (propagated-inputs
11068 (list r-biobase
11069 r-doparallel
11070 r-foreach
11071 r-ggplot2
11072 r-iterators
11073 r-minfi
11074 r-rcolorbrewer))
11075 (native-inputs
11076 (list r-knitr))
11077 (home-page "https://bioconductor.org/packages/quantro/")
11078 (synopsis "Test for when to use quantile normalization")
11079 (description
11080 "This package provides a data-driven test for the assumptions of quantile
11081 normalization using raw data such as objects that inherit eSets (e.g.
11082 ExpressionSet, MethylSet). Group level information about each sample (such as
11083 Tumor / Normal status) must also be provided because the test assesses if
11084 there are global differences in the distributions between the user-defined
11085 groups.")
11086 (license license:gpl3+)))
11087
11088 (define-public r-yarn
11089 (package
11090 (name "r-yarn")
11091 (version "1.22.0")
11092 (source
11093 (origin
11094 (method url-fetch)
11095 (uri (bioconductor-uri "yarn" version))
11096 (sha256
11097 (base32
11098 "0z5202pqq02fwm8qf1g36004k7sv668s1xacbpr1cvw5sl452lbg"))))
11099 (build-system r-build-system)
11100 (propagated-inputs
11101 (list r-biobase
11102 r-biomart
11103 r-downloader
11104 r-edger
11105 r-gplots
11106 r-limma
11107 r-matrixstats
11108 r-preprocesscore
11109 r-quantro
11110 r-rcolorbrewer
11111 r-readr))
11112 (native-inputs
11113 (list r-knitr))
11114 (home-page "https://bioconductor.org/packages/yarn/")
11115 (synopsis "Robust multi-condition RNA-Seq preprocessing and normalization")
11116 (description
11117 "Expedite large RNA-Seq analyses using a combination of previously
11118 developed tools. YARN is meant to make it easier for the user in performing
11119 basic mis-annotation quality control, filtering, and condition-aware
11120 normalization. YARN leverages many Bioconductor tools and statistical
11121 techniques to account for the large heterogeneity and sparsity found in very
11122 large RNA-seq experiments.")
11123 (license license:artistic2.0)))
11124
11125 (define-public r-roar
11126 (package
11127 (name "r-roar")
11128 (version "1.32.0")
11129 (source
11130 (origin
11131 (method url-fetch)
11132 (uri (bioconductor-uri "roar" version))
11133 (sha256
11134 (base32
11135 "0zq1praf5h9294cvmrb06l3chx8v40xw2sfvhlnh1516x9sjkwfc"))))
11136 (build-system r-build-system)
11137 (propagated-inputs
11138 (list r-biocgenerics
11139 r-genomeinfodb
11140 r-genomicalignments
11141 r-genomicranges
11142 r-iranges
11143 r-rtracklayer
11144 r-s4vectors
11145 r-summarizedexperiment))
11146 (home-page "https://github.com/vodkatad/roar/")
11147 (synopsis "Identify differential APA usage from RNA-seq alignments")
11148 (description
11149 "This package provides tools for identifying preferential usage of APA
11150 sites, comparing two biological conditions, starting from known alternative
11151 sites and alignments obtained from standard RNA-seq experiments.")
11152 (license license:gpl3)))
11153
11154 (define-public r-xbseq
11155 (package
11156 (name "r-xbseq")
11157 (version "1.22.0")
11158 (source
11159 (origin
11160 (method url-fetch)
11161 (uri (bioconductor-uri "XBSeq" version))
11162 (sha256
11163 (base32
11164 "1dvk2jpsdynqw5071z54yd5j0ddprhc1ppk834cz9liibd72d7vz"))))
11165 (properties `((upstream-name . "XBSeq")))
11166 (build-system r-build-system)
11167 (propagated-inputs
11168 (list r-biobase
11169 r-deseq2
11170 r-dplyr
11171 r-ggplot2
11172 r-locfit
11173 r-magrittr
11174 r-matrixstats
11175 r-pracma
11176 r-roar))
11177 (native-inputs
11178 (list r-knitr))
11179 (home-page "https://github.com/Liuy12/XBSeq")
11180 (synopsis "Test for differential expression for RNA-seq data")
11181 (description
11182 "XBSeq is a novel algorithm for testing RNA-seq @dfn{differential
11183 expression} (DE), where a statistical model was established based on the
11184 assumption that observed signals are the convolution of true expression
11185 signals and sequencing noises. The mapped reads in non-exonic regions are
11186 considered as sequencing noises, which follows a Poisson distribution. Given
11187 measurable observed signal and background noise from RNA-seq data, true
11188 expression signals, assuming governed by the negative binomial distribution,
11189 can be delineated and thus the accurate detection of differential expressed
11190 genes.")
11191 (license license:gpl3+)))
11192
11193 (define-public r-massspecwavelet
11194 (package
11195 (name "r-massspecwavelet")
11196 (version "1.62.0")
11197 (source
11198 (origin
11199 (method url-fetch)
11200 (uri (bioconductor-uri "MassSpecWavelet" version))
11201 (sha256
11202 (base32
11203 "0g9izdy3f7h1zmsfbq45ahdz0ak5013rp3vxc4ijb1mpqx8ldd39"))))
11204 (properties
11205 `((upstream-name . "MassSpecWavelet")))
11206 (build-system r-build-system)
11207 (native-inputs
11208 (list r-knitr))
11209 (home-page "https://bioconductor.org/packages/MassSpecWavelet/")
11210 (synopsis "Mass spectrum processing by wavelet-based algorithms")
11211 (description
11212 "The MassSpecWavelet package aims to process @dfn{Mass Spectrometry} (MS)
11213 data mainly through the use of wavelet transforms. It supports peak detection
11214 based on @dfn{Continuous Wavelet Transform} (CWT).")
11215 (license license:lgpl2.0+)))
11216
11217 (define-public r-xcms
11218 (package
11219 (name "r-xcms")
11220 (version "3.18.0")
11221 (source
11222 (origin
11223 (method url-fetch)
11224 (uri (bioconductor-uri "xcms" version))
11225 (sha256
11226 (base32
11227 "0p2zd2728lj5q8y24gdfvsjijd6zl2i73hrcf017n32jq7vn71xm"))))
11228 (build-system r-build-system)
11229 (propagated-inputs
11230 (list r-biobase
11231 r-biocgenerics
11232 r-biocparallel
11233 r-iranges
11234 r-lattice
11235 r-massspecwavelet
11236 r-mscoreutils
11237 r-msfeatures
11238 r-msnbase
11239 r-mzr
11240 r-plyr
11241 r-protgenerics
11242 r-rann
11243 r-rcolorbrewer
11244 r-robustbase
11245 r-s4vectors
11246 r-summarizedexperiment))
11247 (native-inputs
11248 (list r-knitr))
11249 (home-page "https://bioconductor.org/packages/xcms/")
11250 (synopsis "LC/MS and GC/MS mass spectrometry data analysis")
11251 (description
11252 "This package provides a framework for processing and visualization of
11253 chromatographically separated and single-spectra mass spectral data. It
11254 imports from AIA/ANDI NetCDF, mzXML, mzData and mzML files. It preprocesses
11255 data for high-throughput, untargeted analyte profiling.")
11256 (license license:gpl2+)))
11257
11258 (define-public r-wppi
11259 (package
11260 (name "r-wppi")
11261 (version "1.4.0")
11262 (source (origin
11263 (method url-fetch)
11264 (uri (bioconductor-uri "wppi" version))
11265 (sha256
11266 (base32
11267 "1008s39bb7sd261cy1vfgdah7bmhfw9qq322fh7g4wvpfw63ii9f"))))
11268 (properties `((upstream-name . "wppi")))
11269 (build-system r-build-system)
11270 ;; This is necessary because omnipathr attempts to write a configuration
11271 ;; file to HOME.
11272 (arguments
11273 `(#:phases
11274 (modify-phases %standard-phases
11275 (add-after 'unpack 'set-HOME
11276 (lambda _ (setenv "HOME" "/tmp"))))))
11277 (propagated-inputs (list r-dplyr
11278 r-igraph
11279 r-logger
11280 r-magrittr
11281 r-matrix
11282 r-omnipathr
11283 r-progress
11284 r-purrr
11285 r-rcurl
11286 r-rlang
11287 r-tibble
11288 r-tidyr))
11289 (native-inputs (list r-knitr))
11290 (home-page "https://github.com/AnaGalhoz37/wppi")
11291 (synopsis "Weighting protein-protein interactions")
11292 (description
11293 "This package predicts functional relevance of protein-protein
11294 interactions based on functional annotations such as Human Protein Ontology
11295 and Gene Ontology, and prioritizes genes based on network topology, functional
11296 scores and a path search algorithm.")
11297 (license license:expat)))
11298
11299 (define-public r-wrench
11300 (package
11301 (name "r-wrench")
11302 (version "1.14.0")
11303 (source
11304 (origin
11305 (method url-fetch)
11306 (uri (bioconductor-uri "Wrench" version))
11307 (sha256
11308 (base32
11309 "1zx65s4m71wj85s2sq8ip54pq12r4sxfv8b2rxc41gfc5aj0zzca"))))
11310 (properties `((upstream-name . "Wrench")))
11311 (build-system r-build-system)
11312 (propagated-inputs
11313 (list r-limma r-locfit r-matrixstats))
11314 (native-inputs
11315 (list r-knitr))
11316 (home-page "https://github.com/HCBravoLab/Wrench")
11317 (synopsis "Wrench normalization for sparse count data")
11318 (description
11319 "Wrench is a package for normalization sparse genomic count data, like
11320 that arising from 16s metagenomic surveys.")
11321 (license license:artistic2.0)))
11322
11323 (define-public r-wiggleplotr
11324 (package
11325 (name "r-wiggleplotr")
11326 (version "1.20.0")
11327 (source
11328 (origin
11329 (method url-fetch)
11330 (uri (bioconductor-uri "wiggleplotr" version))
11331 (sha256
11332 (base32
11333 "0s128mm5w8n072k6j0fv1mxnxjpwisjp5lpz8a9z96cnn69bnr0i"))))
11334 (build-system r-build-system)
11335 (propagated-inputs
11336 (list r-assertthat
11337 r-cowplot
11338 r-dplyr
11339 r-genomeinfodb
11340 r-genomicranges
11341 r-ggplot2
11342 r-iranges
11343 r-purrr
11344 r-rtracklayer
11345 r-s4vectors))
11346 (native-inputs
11347 (list r-knitr))
11348 (home-page "https://bioconductor.org/packages/wiggleplotr/")
11349 (synopsis "Make read coverage plots from BigWig files")
11350 (description
11351 "This package provides tools to visualize read coverage from sequencing
11352 experiments together with genomic annotations (genes, transcripts, peaks).
11353 Introns of long transcripts can be rescaled to a fixed length for better
11354 visualization of exonic read coverage.")
11355 (license license:asl2.0)))
11356
11357 (define-public r-widgettools
11358 (package
11359 (name "r-widgettools")
11360 (version "1.74.0")
11361 (source
11362 (origin
11363 (method url-fetch)
11364 (uri (bioconductor-uri "widgetTools" version))
11365 (sha256
11366 (base32
11367 "10w1s5h4za6ibmphvj145ir3lp22qgah2z8fvmipmf8ciq1jf86d"))))
11368 (properties `((upstream-name . "widgetTools")))
11369 (build-system r-build-system)
11370 (home-page "https://bioconductor.org/packages/widgetTools/")
11371 (synopsis "Tools for creating interactive tcltk widgets")
11372 (description
11373 "This package contains tools to support the construction of tcltk
11374 widgets in R.")
11375 ;; Any version of the LGPL.
11376 (license license:lgpl3+)))
11377
11378 (define-public r-webbioc
11379 (package
11380 (name "r-webbioc")
11381 (version "1.68.0")
11382 (source
11383 (origin
11384 (method url-fetch)
11385 (uri (bioconductor-uri "webbioc" version))
11386 (sha256
11387 (base32
11388 "1g3srxsa2fqcn3r4wz4y19fwjmw3vawlcvdw6lbjdnvbgcafq1ah"))))
11389 (build-system r-build-system)
11390 (inputs
11391 (list netpbm perl))
11392 (propagated-inputs
11393 (list r-affy
11394 r-annaffy
11395 r-biobase
11396 r-biocmanager
11397 r-gcrma
11398 r-multtest
11399 r-qvalue
11400 r-vsn))
11401 (home-page "https://www.bioconductor.org/")
11402 (synopsis "Bioconductor web interface")
11403 (description
11404 "This package provides an integrated web interface for doing microarray
11405 analysis using several of the Bioconductor packages. It is intended to be
11406 deployed as a centralized bioinformatics resource for use by many users.
11407 Currently only Affymetrix oligonucleotide analysis is supported.")
11408 (license license:gpl2+)))
11409
11410 (define-public r-zinbwave
11411 (package
11412 (name "r-zinbwave")
11413 (version "1.18.0")
11414 (source
11415 (origin
11416 (method url-fetch)
11417 (uri (bioconductor-uri "zinbwave" version))
11418 (sha256
11419 (base32
11420 "0vpz721sciw5b4ypxj5lj8p53gwkpfwlwkn6k3y8i65zg80p1g6i"))))
11421 (build-system r-build-system)
11422 (propagated-inputs
11423 (list r-biocparallel
11424 r-edger
11425 r-genefilter
11426 r-matrix
11427 r-singlecellexperiment
11428 r-softimpute
11429 r-summarizedexperiment))
11430 (native-inputs
11431 (list r-knitr))
11432 (home-page "https://bioconductor.org/packages/zinbwave")
11433 (synopsis "Zero-inflated negative binomial model for RNA-seq data")
11434 (description "This package implements a general and flexible zero-inflated
11435 negative binomial model that can be used to provide a low-dimensional
11436 representations of single-cell RNA-seq data. The model accounts for zero
11437 inflation (dropouts), over-dispersion, and the count nature of the data.
11438 The model also accounts for the difference in library sizes and optionally
11439 for batch effects and/or other covariates, avoiding the need for pre-normalize
11440 the data.")
11441 (license license:artistic2.0)))
11442
11443 (define-public r-zfpkm
11444 (package
11445 (name "r-zfpkm")
11446 (version "1.18.0")
11447 (source
11448 (origin
11449 (method url-fetch)
11450 (uri (bioconductor-uri "zFPKM" version))
11451 (sha256
11452 (base32
11453 "1h7g553rgb5mkmmsp8dyqqs9n9x17xmmcg3iijhb54nyrr2j1mji"))))
11454 (properties `((upstream-name . "zFPKM")))
11455 (build-system r-build-system)
11456 (propagated-inputs
11457 (list r-checkmate r-dplyr r-ggplot2 r-summarizedexperiment r-tidyr))
11458 (native-inputs
11459 (list r-knitr))
11460 (home-page "https://github.com/ronammar/zFPKM/")
11461 (synopsis "Functions to facilitate zFPKM transformations")
11462 (description
11463 "This is a package to perform the zFPKM transform on RNA-seq FPKM data.
11464 This algorithm is based on the publication by Hart et al., 2013 (Pubmed ID
11465 24215113).")
11466 (license license:gpl3)))
11467
11468 (define-public r-rbowtie2
11469 (package
11470 (name "r-rbowtie2")
11471 (version "2.2.0")
11472 (source
11473 (origin
11474 (method url-fetch)
11475 (uri (bioconductor-uri "Rbowtie2" version))
11476 (sha256
11477 (base32
11478 "0dhdx27vrkhd4fak0qb5q9amlcpi97xhf3ry39zk0ifx5zpjynkg"))))
11479 (properties `((upstream-name . "Rbowtie2")))
11480 (build-system r-build-system)
11481 (propagated-inputs
11482 (list r-magrittr r-rsamtools))
11483 (inputs
11484 (list samtools zlib))
11485 (native-inputs
11486 (list r-knitr))
11487 (home-page "https://bioconductor.org/packages/Rbowtie2/")
11488 (synopsis "R wrapper for Bowtie2 and AdapterRemoval")
11489 (description
11490 "This package provides an R wrapper of the popular @code{bowtie2}
11491 sequencing reads aligner and @code{AdapterRemoval}, a convenient tool for
11492 rapid adapter trimming, identification, and read merging.")
11493 (license license:gpl3+)))
11494
11495 (define-public r-progeny
11496 (package
11497 (name "r-progeny")
11498 (version "1.18.0")
11499 (source
11500 (origin
11501 (method url-fetch)
11502 (uri (bioconductor-uri "progeny" version))
11503 (sha256
11504 (base32
11505 "1rhy2l2yf9ndxlvff8756s6n8qyi42nz7a75lgygj5aqqckkj21b"))))
11506 (build-system r-build-system)
11507 (propagated-inputs
11508 (list r-biobase
11509 r-decoupler
11510 r-dplyr
11511 r-ggplot2
11512 r-ggrepel
11513 r-gridextra
11514 r-reshape2
11515 r-tidyr))
11516 (native-inputs
11517 (list r-knitr))
11518 (home-page "https://github.com/saezlab/progeny")
11519 (synopsis "Pathway responsive gene activity inference")
11520 (description
11521 "This package provides a function to infer pathway activity from gene
11522 expression. It contains the linear model inferred in the publication
11523 \"Perturbation-response genes reveal signaling footprints in cancer gene
11524 expression\".")
11525 (license license:asl2.0)))
11526
11527 (define-public r-arrmnormalization
11528 (package
11529 (name "r-arrmnormalization")
11530 (version "1.36.0")
11531 (source
11532 (origin
11533 (method url-fetch)
11534 (uri (bioconductor-uri "ARRmNormalization" version))
11535 (sha256
11536 (base32
11537 "1pnvw8psbql787m8lrmhd9xbmgkc3dbc70yfds1aggv50dk3yjk1"))))
11538 (properties
11539 `((upstream-name . "ARRmNormalization")))
11540 (build-system r-build-system)
11541 (propagated-inputs (list r-arrmdata))
11542 (home-page "https://bioconductor.org/packages/ARRmNormalization/")
11543 (synopsis "Adaptive robust regression normalization for methylation data")
11544 (description
11545 "This is a package to perform the @dfn{Adaptive Robust Regression
11546 method} (ARRm) for the normalization of methylation data from the Illumina
11547 Infinium HumanMethylation 450k assay.")
11548 (license license:artistic2.0)))
11549
11550 (define-public r-biocfilecache
11551 (package
11552 (name "r-biocfilecache")
11553 (version "2.4.0")
11554 (source
11555 (origin
11556 (method url-fetch)
11557 (uri (bioconductor-uri "BiocFileCache" version))
11558 (sha256
11559 (base32
11560 "1bdbmlixrd8wvs25nmzdksq5hwnsxf8b6ds9qwx01h284vky5vsw"))))
11561 (properties `((upstream-name . "BiocFileCache")))
11562 (build-system r-build-system)
11563 (propagated-inputs
11564 (list r-curl
11565 r-dbi
11566 r-dbplyr
11567 r-dplyr
11568 r-filelock
11569 r-httr
11570 r-rappdirs
11571 r-rsqlite))
11572 (native-inputs
11573 (list r-knitr))
11574 (home-page "https://bioconductor.org/packages/BiocFileCache/")
11575 (synopsis "Manage files across sessions")
11576 (description
11577 "This package creates a persistent on-disk cache of files that the user
11578 can add, update, and retrieve. It is useful for managing resources (such as
11579 custom Txdb objects) that are costly or difficult to create, web resources,
11580 and data files used across sessions.")
11581 (license license:artistic2.0)))
11582
11583 (define-public r-iclusterplus
11584 (package
11585 (name "r-iclusterplus")
11586 (version "1.32.0")
11587 (source
11588 (origin
11589 (method url-fetch)
11590 (uri (bioconductor-uri "iClusterPlus" version))
11591 (sha256
11592 (base32
11593 "0xzx3vly3p99zc5a69pra4jjp8d3bdhx7dl1l76w459cs58zy0sm"))))
11594 (properties `((upstream-name . "iClusterPlus")))
11595 (build-system r-build-system)
11596 (native-inputs (list gfortran))
11597 (home-page "https://bioconductor.org/packages/iClusterPlus/")
11598 (synopsis "Integrative clustering of multi-type genomic data")
11599 (description
11600 "iClusterPlus is developed for integrative clustering analysis of
11601 multi-type genomic data and is an enhanced version of iCluster proposed and
11602 developed by Shen, Olshen and Ladanyi (2009). Multi-type genomic data arise
11603 from the experiments where biological samples (e.g. tumor samples) are
11604 analyzed by multiple techniques, for instance, @dfn{array comparative genomic
11605 hybridization} (aCGH), gene expression microarray, RNA-seq and DNA-seq, and so
11606 on. In the iClusterPlus model, binary observations such as somatic mutation
11607 are modeled as Binomial processes; categorical observations such as copy
11608 number states are realizations of Multinomial random variables; counts are
11609 modeled as Poisson random processes; and continuous measures are modeled by
11610 Gaussian distributions.")
11611 (license license:gpl2+)))
11612
11613 (define-public r-rbowtie
11614 (package
11615 (name "r-rbowtie")
11616 (version "1.36.0")
11617 (source
11618 (origin
11619 (method url-fetch)
11620 (uri (bioconductor-uri "Rbowtie" version))
11621 (sha256
11622 (base32
11623 "1ya1irwshsyy9l1fj51b04nv1ahq7a47ck7q19h2cly6yskc4x1q"))))
11624 (properties `((upstream-name . "Rbowtie")))
11625 (build-system r-build-system)
11626 (arguments
11627 `(#:phases
11628 ;; Disable unsupported `popcnt' instructions on
11629 ;; architectures other than x86_64
11630 ,(if (string-prefix? "x86_64"
11631 (or (%current-target-system)
11632 (%current-system)))
11633 '%standard-phases
11634 '(modify-phases %standard-phases
11635 (add-after 'unpack 'patch-sources
11636 (lambda _
11637 (setenv "POPCNT_CAPABILITY" "0")))))))
11638 (inputs (list zlib))
11639 (native-inputs
11640 (list r-knitr))
11641 (home-page "https://bioconductor.org/packages/Rbowtie/")
11642 (synopsis "R bowtie wrapper")
11643 (description
11644 "This package provides an R wrapper around the popular bowtie short read
11645 aligner and around SpliceMap, a de novo splice junction discovery and
11646 alignment tool.")
11647 (license license:artistic2.0)))
11648
11649 (define-public r-sgseq
11650 (package
11651 (name "r-sgseq")
11652 (version "1.30.0")
11653 (source
11654 (origin
11655 (method url-fetch)
11656 (uri (bioconductor-uri "SGSeq" version))
11657 (sha256
11658 (base32
11659 "0hz45367i70wl97silnimicdvs3g41zyf8syc6igz6471wbwkxwp"))))
11660 (properties `((upstream-name . "SGSeq")))
11661 (build-system r-build-system)
11662 (propagated-inputs
11663 (list r-annotationdbi
11664 r-biocgenerics
11665 r-biostrings
11666 r-genomeinfodb
11667 r-genomicalignments
11668 r-genomicfeatures
11669 r-genomicranges
11670 r-igraph
11671 r-iranges
11672 r-rsamtools
11673 r-rtracklayer
11674 r-runit
11675 r-s4vectors
11676 r-summarizedexperiment))
11677 (native-inputs
11678 (list r-knitr))
11679 (home-page "https://bioconductor.org/packages/SGSeq/")
11680 (synopsis "Splice event prediction and quantification from RNA-seq data")
11681 (description
11682 "SGSeq is a package for analyzing splice events from RNA-seq data. Input
11683 data are RNA-seq reads mapped to a reference genome in BAM format. Genes are
11684 represented as a splice graph, which can be obtained from existing annotation
11685 or predicted from the mapped sequence reads. Splice events are identified
11686 from the graph and are quantified locally using structurally compatible reads
11687 at the start or end of each splice variant. The software includes functions
11688 for splice event prediction, quantification, visualization and
11689 interpretation.")
11690 (license license:artistic2.0)))
11691
11692 (define-public r-rhisat2
11693 (package
11694 (name "r-rhisat2")
11695 (version "1.12.0")
11696 (source
11697 (origin
11698 (method url-fetch)
11699 (uri (bioconductor-uri "Rhisat2" version))
11700 (sha256
11701 (base32
11702 "0hzair41l47kzykymd169a34pfhb98vrjgkgdf15m17csyz7pnv7"))))
11703 (properties `((upstream-name . "Rhisat2")))
11704 (build-system r-build-system)
11705 (arguments
11706 `(#:phases
11707 (modify-phases %standard-phases
11708 (add-after 'unpack 'make-reproducible
11709 (lambda _
11710 (substitute* "src/Makefile"
11711 (("`hostname`") "guix")
11712 (("`date`") "0")
11713 ;; Avoid shelling out to "which".
11714 (("^CC =.*") (which "gcc"))
11715 (("^CPP =.*") (which "g++")))
11716 #t)))))
11717 (propagated-inputs
11718 (list r-genomicfeatures r-genomicranges r-sgseq))
11719 (native-inputs
11720 (list r-knitr))
11721 (home-page "https://github.com/fmicompbio/Rhisat2")
11722 (synopsis "R Wrapper for HISAT2 sequence aligner")
11723 (description
11724 "This package provides an R interface to the HISAT2 spliced short-read
11725 aligner by Kim et al. (2015). The package contains wrapper functions to
11726 create a genome index and to perform the read alignment to the generated
11727 index.")
11728 (license license:gpl3)))
11729
11730 (define-public r-quasr
11731 (package
11732 (name "r-quasr")
11733 (version "1.36.0")
11734 (source
11735 (origin
11736 (method url-fetch)
11737 (uri (bioconductor-uri "QuasR" version))
11738 (sha256
11739 (base32
11740 "1m0c0rdakkdn4rr6dh51c6rs40cbxkvz93n6s0m2kc6fqjv9zplf"))))
11741 (properties `((upstream-name . "QuasR")))
11742 (build-system r-build-system)
11743 (propagated-inputs
11744 (list r-annotationdbi
11745 r-biobase
11746 r-biocgenerics
11747 r-biocparallel
11748 r-biostrings
11749 r-bsgenome
11750 r-genomeinfodb
11751 r-genomicfeatures
11752 r-genomicfiles
11753 r-genomicranges
11754 r-iranges
11755 r-rbowtie
11756 r-rhtslib
11757 r-rsamtools
11758 r-rtracklayer
11759 r-s4vectors
11760 r-shortread))
11761 (native-inputs
11762 (list r-knitr))
11763 (home-page "https://bioconductor.org/packages/QuasR/")
11764 (synopsis "Quantify and annotate short reads in R")
11765 (description
11766 "This package provides a framework for the quantification and analysis of
11767 short genomic reads. It covers a complete workflow starting from raw sequence
11768 reads, over creation of alignments and quality control plots, to the
11769 quantification of genomic regions of interest.")
11770 (license license:gpl2)))
11771
11772 (define-public r-rqc
11773 (package
11774 (name "r-rqc")
11775 (version "1.30.0")
11776 (source
11777 (origin
11778 (method url-fetch)
11779 (uri (bioconductor-uri "Rqc" version))
11780 (sha256
11781 (base32
11782 "11j8m69zdcmpjb3xzr4s8sqmv8aqgl8q7k81gnd09l3nyjzy0h1k"))))
11783 (properties `((upstream-name . "Rqc")))
11784 (build-system r-build-system)
11785 (propagated-inputs
11786 (list r-biocgenerics
11787 r-biocparallel
11788 r-biocstyle
11789 r-biostrings
11790 r-biovizbase
11791 r-genomicalignments
11792 r-genomicfiles
11793 r-ggplot2
11794 r-iranges
11795 r-knitr
11796 r-markdown
11797 r-plyr
11798 r-rcpp
11799 r-reshape2
11800 r-rsamtools
11801 r-s4vectors
11802 r-shiny
11803 r-shortread))
11804 (native-inputs
11805 (list r-knitr))
11806 (home-page "https://github.com/labbcb/Rqc")
11807 (synopsis "Quality control tool for high-throughput sequencing data")
11808 (description
11809 "Rqc is an optimized tool designed for quality control and assessment of
11810 high-throughput sequencing data. It performs parallel processing of entire
11811 files and produces a report which contains a set of high-resolution
11812 graphics.")
11813 (license license:gpl2+)))
11814
11815 (define-public r-birewire
11816 (package
11817 (name "r-birewire")
11818 (version "3.28.0")
11819 (source
11820 (origin
11821 (method url-fetch)
11822 (uri (bioconductor-uri "BiRewire" version))
11823 (sha256
11824 (base32
11825 "0r3i7n45qgj8wzdsx8wmfk0lc4xbcvxvmfziiqzig7r706q2c2hm"))))
11826 (properties `((upstream-name . "BiRewire")))
11827 (build-system r-build-system)
11828 (propagated-inputs
11829 (list r-igraph r-matrix r-rtsne r-slam))
11830 (home-page "https://bioconductor.org/packages/release/bioc/html/BiRewire.html")
11831 (synopsis "Tools for randomization of bipartite graphs")
11832 (description
11833 "This package provides functions for bipartite network rewiring through N
11834 consecutive switching steps and for the computation of the minimal number of
11835 switching steps to be performed in order to maximise the dissimilarity with
11836 respect to the original network. It includes functions for the analysis of
11837 the introduced randomness across the switching steps and several other
11838 routines to analyse the resulting networks and their natural projections.")
11839 (license license:gpl3)))
11840
11841 (define-public r-birta
11842 (package
11843 (name "r-birta")
11844 (version "1.31.0")
11845 (source
11846 (origin
11847 (method url-fetch)
11848 (uri (bioconductor-uri "birta" version))
11849 (sha256
11850 (base32
11851 "00a1kcfmcgdbx6wpnhk45wm45bynhry5m93l9hm75j2rwyc4lnca"))))
11852 (build-system r-build-system)
11853 (propagated-inputs
11854 (list r-biobase r-limma r-mass))
11855 (home-page "https://bioconductor.org/packages/birta")
11856 (synopsis "Bayesian inference of regulation of transcriptional activity")
11857 (description
11858 "Expression levels of mRNA molecules are regulated by different
11859 processes, comprising inhibition or activation by transcription factors and
11860 post-transcriptional degradation by microRNAs. @dfn{birta} (Bayesian
11861 Inference of Regulation of Transcriptional Activity) uses the regulatory
11862 networks of transcription factors and miRNAs together with mRNA and miRNA
11863 expression data to predict switches in regulatory activity between two
11864 conditions. A Bayesian network is used to model the regulatory structure and
11865 Markov-Chain-Monte-Carlo is applied to sample the activity states.")
11866 (license license:gpl2+)))
11867
11868 (define-public r-multidataset
11869 (package
11870 (name "r-multidataset")
11871 (version "1.24.0")
11872 (source
11873 (origin
11874 (method url-fetch)
11875 (uri (bioconductor-uri "MultiDataSet" version))
11876 (sha256
11877 (base32
11878 "0rfs6jkzh1i4mj1pgfk4lwzmcl8pcwizra3q3282x3d8h2g98qnf"))))
11879 (properties `((upstream-name . "MultiDataSet")))
11880 (build-system r-build-system)
11881 (propagated-inputs
11882 (list r-biobase
11883 r-biocgenerics
11884 r-genomicranges
11885 r-ggplot2
11886 r-ggrepel
11887 r-iranges
11888 r-limma
11889 r-qqman
11890 r-s4vectors
11891 r-summarizedexperiment))
11892 (native-inputs
11893 (list r-knitr))
11894 (home-page "https://bioconductor.org/packages/MultiDataSet/")
11895 (synopsis "Implementation of MultiDataSet and ResultSet")
11896 (description
11897 "This package provides an implementation of the BRGE's (Bioinformatic
11898 Research Group in Epidemiology from Center for Research in Environmental
11899 Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for
11900 integrating multi omics data sets and ResultSet is a container for omics
11901 results. This package contains base classes for MEAL and rexposome
11902 packages.")
11903 (license license:expat)))
11904
11905 (define-public r-ropls
11906 (package
11907 (name "r-ropls")
11908 (version "1.28.2")
11909 (source
11910 (origin
11911 (method url-fetch)
11912 (uri (bioconductor-uri "ropls" version))
11913 (sha256
11914 (base32
11915 "07gpx15r8c3wljiwxnff2zp7wxbhzz9r7njk8zg8hpy2q5qm3i6c"))))
11916 (build-system r-build-system)
11917 (propagated-inputs
11918 (list r-biobase
11919 r-multiassayexperiment
11920 r-multidataset
11921 r-summarizedexperiment))
11922 (native-inputs
11923 (list r-knitr)) ; for vignettes
11924 (home-page "https://dx.doi.org/10.1021/acs.jproteome.5b00354")
11925 (synopsis "Multivariate analysis and feature selection of omics data")
11926 (description
11927 "Latent variable modeling with @dfn{Principal Component Analysis} (PCA)
11928 and @dfn{Partial Least Squares} (PLS) are powerful methods for visualization,
11929 regression, classification, and feature selection of omics data where the
11930 number of variables exceeds the number of samples and with multicollinearity
11931 among variables. @dfn{Orthogonal Partial Least Squares} (OPLS) enables to
11932 separately model the variation correlated (predictive) to the factor of
11933 interest and the uncorrelated (orthogonal) variation. While performing
11934 similarly to PLS, OPLS facilitates interpretation.
11935
11936 This package provides imlementations of PCA, PLS, and OPLS for multivariate
11937 analysis and feature selection of omics data. In addition to scores, loadings
11938 and weights plots, the package provides metrics and graphics to determine the
11939 optimal number of components (e.g. with the R2 and Q2 coefficients), check the
11940 validity of the model by permutation testing, detect outliers, and perform
11941 feature selection (e.g. with Variable Importance in Projection or regression
11942 coefficients).")
11943 (license license:cecill)))
11944
11945 (define-public r-biosigner
11946 (package
11947 (name "r-biosigner")
11948 (version "1.24.2")
11949 (source
11950 (origin
11951 (method url-fetch)
11952 (uri (bioconductor-uri "biosigner" version))
11953 (sha256
11954 (base32
11955 "0vdv2by3qv7y8vzr8qgg7apwwgsa0fhlfrhzns7g3nas7883c89m"))))
11956 (build-system r-build-system)
11957 (propagated-inputs
11958 (list r-biobase
11959 r-e1071
11960 r-multiassayexperiment
11961 r-multidataset
11962 r-randomforest
11963 r-ropls
11964 r-summarizedexperiment))
11965 (native-inputs
11966 (list r-knitr))
11967 (home-page "https://bioconductor.org/packages/biosigner/")
11968 (synopsis "Signature discovery from omics data")
11969 (description
11970 "Feature selection is critical in omics data analysis to extract
11971 restricted and meaningful molecular signatures from complex and high-dimension
11972 data, and to build robust classifiers. This package implements a method to
11973 assess the relevance of the variables for the prediction performances of the
11974 classifier. The approach can be run in parallel with the PLS-DA, Random
11975 Forest, and SVM binary classifiers. The signatures and the corresponding
11976 'restricted' models are returned, enabling future predictions on new
11977 datasets.")
11978 (license license:cecill)))
11979
11980 (define-public r-annotatr
11981 (package
11982 (name "r-annotatr")
11983 (version "1.22.0")
11984 (source
11985 (origin
11986 (method url-fetch)
11987 (uri (bioconductor-uri "annotatr" version))
11988 (sha256
11989 (base32
11990 "1fbax9v3d486c8lwf3yfjbf4w7zf53wmdpxk2clwm8ngm7w0pqm0"))))
11991 (build-system r-build-system)
11992 (propagated-inputs
11993 (list r-annotationdbi
11994 r-annotationhub
11995 r-dplyr
11996 r-genomeinfodb
11997 r-genomicfeatures
11998 r-genomicranges
11999 r-ggplot2
12000 r-iranges
12001 r-readr
12002 r-regioner
12003 r-reshape2
12004 r-rtracklayer
12005 r-s4vectors))
12006 (native-inputs
12007 (list r-knitr))
12008 (home-page "https://bioconductor.org/packages/annotatr/")
12009 (synopsis "Annotation of genomic regions to genomic annotations")
12010 (description
12011 "Given a set of genomic sites/regions (e.g. ChIP-seq peaks, CpGs,
12012 differentially methylated CpGs or regions, SNPs, etc.) it is often of interest
12013 to investigate the intersecting genomic annotations. Such annotations include
12014 those relating to gene models (promoters, 5'UTRs, exons, introns, and 3'UTRs),
12015 CpGs (CpG islands, CpG shores, CpG shelves), or regulatory sequences such as
12016 enhancers. The annotatr package provides an easy way to summarize and
12017 visualize the intersection of genomic sites/regions with genomic
12018 annotations.")
12019 (license license:gpl3)))
12020
12021 (define-public r-rsubread
12022 (package
12023 (name "r-rsubread")
12024 (version "2.10.5")
12025 (source
12026 (origin
12027 (method url-fetch)
12028 (uri (bioconductor-uri "Rsubread" version))
12029 (sha256
12030 (base32
12031 "0n9qqbkj2lgxkia6kfpfz06wbc1lvw24qyvn88f48zw5nh0rsrs2"))))
12032 (properties `((upstream-name . "Rsubread")))
12033 (build-system r-build-system)
12034 (inputs (list zlib))
12035 (propagated-inputs
12036 (list r-matrix))
12037 (home-page "https://bioconductor.org/packages/Rsubread/")
12038 (synopsis "Subread sequence alignment and counting for R")
12039 (description
12040 "This package provides tools for alignment, quantification and analysis
12041 of second and third generation sequencing data. It includes functionality for
12042 read mapping, read counting, SNP calling, structural variant detection and
12043 gene fusion discovery. It can be applied to all major sequencing techologies
12044 and to both short and long sequence reads.")
12045 (license license:gpl3)))
12046
12047 (define-public r-flowutils
12048 (package
12049 (name "r-flowutils")
12050 (version "1.59.0")
12051 (source
12052 (origin
12053 (method url-fetch)
12054 (uri (bioconductor-uri "flowUtils" version))
12055 (sha256
12056 (base32
12057 "11x362dqb9mjlsbq6g1qkb8hhnkvm22z5s3wkgmpyy9kyifjkm26"))))
12058 (properties `((upstream-name . "flowUtils")))
12059 (build-system r-build-system)
12060 (propagated-inputs
12061 (list r-biobase
12062 r-corpcor
12063 r-flowcore
12064 r-graph
12065 r-runit
12066 r-xml))
12067 (home-page "https://github.com/jspidlen/flowUtils")
12068 (synopsis "Utilities for flow cytometry")
12069 (description
12070 "This package provides utilities for flow cytometry data.")
12071 (license license:artistic2.0)))
12072
12073 (define-public r-consensusclusterplus
12074 (package
12075 (name "r-consensusclusterplus")
12076 (version "1.60.0")
12077 (source
12078 (origin
12079 (method url-fetch)
12080 (uri (bioconductor-uri "ConsensusClusterPlus" version))
12081 (sha256
12082 (base32
12083 "1021cix4mr9qsafskw4kk1l3wdzx9pk2gcwjifz6f4zqxss9v07p"))))
12084 (properties
12085 `((upstream-name . "ConsensusClusterPlus")))
12086 (build-system r-build-system)
12087 (propagated-inputs
12088 (list r-all r-biobase r-cluster))
12089 (home-page "https://bioconductor.org/packages/ConsensusClusterPlus")
12090 (synopsis "Clustering algorithm")
12091 (description
12092 "This package provides an implementation of an algorithm for determining
12093 cluster count and membership by stability evidence in unsupervised analysis.")
12094 (license license:gpl2)))
12095
12096 ;; This is the latest commit and it solves a bug from the latest release.
12097 (define-public r-cycombine
12098 (let ((commit "f18504bc83ff5daee2b5eb4b28f09abdaaa66698") (revision "1"))
12099 (package
12100 (name "r-cycombine")
12101 (version (git-version "0.2.6" revision commit))
12102 (source (origin
12103 (method git-fetch)
12104 (uri (git-reference
12105 (url "https://github.com/biosurf/cyCombine")
12106 (commit commit)))
12107 (file-name (git-file-name name version))
12108 (sha256
12109 (base32
12110 "1fiwnik8iahg01732fik85xhz359x32f1xc59h443pdf7jancskm"))))
12111 (properties `((upstream-name . "cyCombine")))
12112 (build-system r-build-system)
12113 (propagated-inputs
12114 (list r-biobase
12115 r-cytolib
12116 r-dplyr
12117 r-flowcore
12118 r-ggplot2
12119 r-knitr
12120 r-kohonen
12121 r-magrittr
12122 r-purrr
12123 r-rcolorbrewer
12124 r-readr
12125 r-readxl
12126 r-stringr
12127 r-sva
12128 r-tibble
12129 r-tidyr))
12130 (native-inputs (list r-knitr))
12131 (home-page "https://github.com/biosurf/cyCombine")
12132 (synopsis "Integration of single-cell cytometry datasets")
12133 (description
12134 "This package provides a method for combining single-cell cytometry
12135 datasets, which increases the analytical flexibility and the statistical power
12136 of the analyses while minimizing technical noise.")
12137 (license license:expat))))
12138
12139 (define-public r-cytolib
12140 (package
12141 (name "r-cytolib")
12142 (version "2.8.0")
12143 (source
12144 (origin
12145 (method url-fetch)
12146 (uri (bioconductor-uri "cytolib" version))
12147 (sha256
12148 (base32
12149 "18b532sicca5l8sn334prrm7g1z1cakiwydccz4i833168pnsjyg"))))
12150 (properties `((upstream-name . "cytolib")))
12151 (build-system r-build-system)
12152 (native-inputs
12153 (list r-knitr))
12154 (propagated-inputs
12155 (list r-bh
12156 r-rcpp
12157 r-rcpparmadillo
12158 r-rcppparallel
12159 r-rhdf5lib
12160 r-rprotobuflib))
12161 (home-page "https://bioconductor.org/packages/cytolib/")
12162 (synopsis "C++ infrastructure for working with gated cytometry")
12163 (description
12164 "This package provides the core data structure and API to represent and
12165 interact with gated cytometry data.")
12166 (license license:artistic2.0)))
12167
12168 (define-public r-flowcore
12169 (package
12170 (name "r-flowcore")
12171 (version "2.8.0")
12172 (source
12173 (origin
12174 (method url-fetch)
12175 (uri (bioconductor-uri "flowCore" version))
12176 (sha256
12177 (base32
12178 "17nci6rc4i0vs0ibw5q8zy30ap7q4550qpq4ifkbblqbyzxlzkhr"))))
12179 (properties `((upstream-name . "flowCore")))
12180 (build-system r-build-system)
12181 (propagated-inputs
12182 (list r-bh
12183 r-biobase
12184 r-biocgenerics
12185 r-cytolib
12186 r-matrixstats
12187 r-rcpp
12188 r-rcpparmadillo
12189 r-rprotobuflib
12190 r-s4vectors))
12191 (native-inputs
12192 (list r-knitr))
12193 (home-page "https://bioconductor.org/packages/flowCore")
12194 (synopsis "Basic structures for flow cytometry data")
12195 (description
12196 "This package provides S4 data structures and basic functions to deal
12197 with flow cytometry data.")
12198 (license license:artistic2.0)))
12199
12200 (define-public r-flowmeans
12201 (package
12202 (name "r-flowmeans")
12203 (version "1.56.0")
12204 (source
12205 (origin
12206 (method url-fetch)
12207 (uri (bioconductor-uri "flowMeans" version))
12208 (sha256
12209 (base32
12210 "1n4li43ydwwf5gvgmdml4ba28cxymybg5wnz6jvp35n959fwxv6y"))))
12211 (properties `((upstream-name . "flowMeans")))
12212 (build-system r-build-system)
12213 (propagated-inputs
12214 (list r-biobase r-feature r-flowcore r-rrcov))
12215 (home-page "https://bioconductor.org/packages/flowMeans")
12216 (synopsis "Non-parametric flow cytometry data gating")
12217 (description
12218 "This package provides tools to identify cell populations in Flow
12219 Cytometry data using non-parametric clustering and segmented-regression-based
12220 change point detection.")
12221 (license license:artistic2.0)))
12222
12223 (define-public r-ncdfflow
12224 (package
12225 (name "r-ncdfflow")
12226 (version "2.42.1")
12227 (source
12228 (origin
12229 (method url-fetch)
12230 (uri (bioconductor-uri "ncdfFlow" version))
12231 (sha256
12232 (base32
12233 "0759xvkp22dnbhq5wpgvpk8p61w0d50r5jrbh9n7sj8sga4lvvv7"))))
12234 (properties `((upstream-name . "ncdfFlow")))
12235 (build-system r-build-system)
12236 (propagated-inputs
12237 (list r-bh
12238 r-biobase
12239 r-biocgenerics
12240 r-flowcore
12241 r-rcpp
12242 r-rcpparmadillo
12243 r-rhdf5lib
12244 r-zlibbioc))
12245 (native-inputs
12246 (list r-knitr))
12247 (home-page "https://bioconductor.org/packages/ncdfFlow/")
12248 (synopsis "HDF5 based storage for flow cytometry data")
12249 (description
12250 "This package provides HDF5 storage based methods and functions for
12251 manipulation of flow cytometry data.")
12252 (license license:artistic2.0)))
12253
12254 (define-public r-ggcyto
12255 (package
12256 (name "r-ggcyto")
12257 (version "1.24.1")
12258 (source
12259 (origin
12260 (method url-fetch)
12261 (uri (bioconductor-uri "ggcyto" version))
12262 (sha256
12263 (base32
12264 "1cw60x78vqzjmgb5xd3sxyz6zwdaffp3byk34z8d4b3wkh530325"))))
12265 (properties `((upstream-name . "ggcyto")))
12266 (build-system r-build-system)
12267 (propagated-inputs
12268 (list r-data-table
12269 r-flowcore
12270 r-flowworkspace
12271 r-ggplot2
12272 r-gridextra
12273 r-hexbin
12274 r-ncdfflow
12275 r-plyr
12276 r-rcolorbrewer
12277 r-rlang
12278 r-scales))
12279 (native-inputs
12280 (list r-knitr))
12281 (home-page "https://github.com/RGLab/ggcyto/issues")
12282 (synopsis "Visualize Cytometry data with ggplot")
12283 (description
12284 "With the dedicated fortify method implemented for @code{flowSet},
12285 @code{ncdfFlowSet} and @code{GatingSet} classes, both raw and gated flow
12286 cytometry data can be plotted directly with ggplot. The @code{ggcyto} wrapper
12287 and some custom layers also make it easy to add gates and population
12288 statistics to the plot.")
12289 (license license:artistic2.0)))
12290
12291 (define-public r-flowviz
12292 (package
12293 (name "r-flowviz")
12294 (version "1.60.2")
12295 (source
12296 (origin
12297 (method url-fetch)
12298 (uri (bioconductor-uri "flowViz" version))
12299 (sha256
12300 (base32
12301 "08rwzc26jns0wwjsqqmf60bpxsckr5x8skdn9iwl8grp81npcc95"))))
12302 (properties `((upstream-name . "flowViz")))
12303 (build-system r-build-system)
12304 (propagated-inputs
12305 (list r-biobase
12306 r-flowcore
12307 r-hexbin
12308 r-idpmisc
12309 r-kernsmooth
12310 r-lattice
12311 r-latticeextra
12312 r-mass
12313 r-rcolorbrewer))
12314 (native-inputs
12315 (list r-knitr))
12316 (home-page "https://bioconductor.org/packages/flowViz/")
12317 (synopsis "Visualization for flow cytometry")
12318 (description
12319 "This package provides visualization tools for flow cytometry data.")
12320 (license license:artistic2.0)))
12321
12322 (define-public r-flowclust
12323 (package
12324 (name "r-flowclust")
12325 (version "3.34.0")
12326 (source
12327 (origin
12328 (method url-fetch)
12329 (uri (bioconductor-uri "flowClust" version))
12330 (sha256
12331 (base32
12332 "055vm9s8aha92znhpjqkipzprw8bkrinwjaik4ygmhym7w6vbblk"))))
12333 (properties `((upstream-name . "flowClust")))
12334 (build-system r-build-system)
12335 (arguments
12336 `(#:configure-flags
12337 (list "--configure-args=--enable-bundled-gsl=no")))
12338 (propagated-inputs
12339 (list r-biobase
12340 r-biocgenerics
12341 r-flowcore
12342 r-graph))
12343 (inputs
12344 (list gsl))
12345 (native-inputs
12346 (list pkg-config r-knitr))
12347 (home-page "https://bioconductor.org/packages/flowClust")
12348 (synopsis "Clustering for flow cytometry")
12349 (description
12350 "This package provides robust model-based clustering using a t-mixture
12351 model with Box-Cox transformation.")
12352 (license license:artistic2.0)))
12353
12354 ;; TODO: this package bundles an old version of protobuf. It's not easy to
12355 ;; make it use our protobuf package instead.
12356 (define-public r-rprotobuflib
12357 (package
12358 (name "r-rprotobuflib")
12359 (version "2.8.0")
12360 (source
12361 (origin
12362 (method url-fetch)
12363 (uri (bioconductor-uri "RProtoBufLib" version))
12364 (sha256
12365 (base32
12366 "1mvqwrm1y0vij66gdwgpf5l1h660wsi9jzjfs4ihw3zm4cb0q5pp"))))
12367 (properties `((upstream-name . "RProtoBufLib")))
12368 (build-system r-build-system)
12369 (arguments
12370 `(#:phases
12371 (modify-phases %standard-phases
12372 (add-after 'unpack 'unpack-bundled-sources
12373 (lambda _
12374 (with-directory-excursion "src"
12375 (invoke "tar" "xf" "protobuf-3.8.0.tar.gz")))))))
12376 (native-inputs
12377 (list r-knitr))
12378 (home-page "https://bioconductor.org/packages/RProtoBufLib/")
12379 (synopsis "C++ headers and static libraries of Protocol buffers")
12380 (description
12381 "This package provides the headers and static library of Protocol buffers
12382 for other R packages to compile and link against.")
12383 (license license:bsd-3)))
12384
12385 (define-public r-flowworkspace
12386 (package
12387 (name "r-flowworkspace")
12388 (version "4.8.0")
12389 (source
12390 (origin
12391 (method url-fetch)
12392 (uri (bioconductor-uri "flowWorkspace" version))
12393 (sha256
12394 (base32
12395 "0riyi9628cx1j5x6hmdd28yq75xh25j8ckcdz8dnb94dpvnhaqss"))))
12396 (properties `((upstream-name . "flowWorkspace")))
12397 (build-system r-build-system)
12398 (propagated-inputs
12399 (list r-aws-s3
12400 r-aws-signature
12401 r-bh
12402 r-biobase
12403 r-biocgenerics
12404 r-cytolib
12405 r-data-table
12406 r-delayedarray
12407 r-digest
12408 r-dplyr
12409 r-flowcore
12410 r-ggplot2
12411 r-graph
12412 r-lattice
12413 r-latticeextra
12414 r-matrixstats
12415 r-ncdfflow
12416 r-rbgl
12417 r-rcpp
12418 r-rcpparmadillo
12419 r-rcppparallel
12420 r-rgraphviz
12421 r-rhdf5lib
12422 r-rprotobuflib
12423 r-s4vectors
12424 r-scales
12425 r-xml))
12426 (native-inputs
12427 (list r-knitr))
12428 (home-page "https://bioconductor.org/packages/flowWorkspace/")
12429 (synopsis "Infrastructure for working with cytometry data")
12430 (description
12431 "This package is designed to facilitate comparison of automated gating
12432 methods against manual gating done in flowJo. This package allows you to
12433 import basic flowJo workspaces into BioConductor and replicate the gating from
12434 flowJo using the @code{flowCore} functionality. Gating hierarchies, groups of
12435 samples, compensation, and transformation are performed so that the output
12436 matches the flowJo analysis.")
12437 (license license:artistic2.0)))
12438
12439 (define-public r-flowstats
12440 (package
12441 (name "r-flowstats")
12442 (version "4.8.2")
12443 (source
12444 (origin
12445 (method url-fetch)
12446 (uri (bioconductor-uri "flowStats" version))
12447 (sha256
12448 (base32
12449 "1x01gg5ifxh3wp0cp5a23lr9v6l9q5qg8145q2pgn904jkx5wldc"))))
12450 (properties `((upstream-name . "flowStats")))
12451 (build-system r-build-system)
12452 (propagated-inputs
12453 (list r-biobase
12454 r-biocgenerics
12455 r-cluster
12456 r-corpcor
12457 r-fda
12458 r-flowcore
12459 r-flowviz
12460 r-flowworkspace
12461 r-kernsmooth
12462 r-ks
12463 r-lattice
12464 r-mass
12465 r-mnormt
12466 r-ncdfflow
12467 r-rcolorbrewer
12468 r-rrcov))
12469 (home-page "http://www.github.com/RGLab/flowStats")
12470 (synopsis "Statistical methods for the analysis of flow cytometry data")
12471 (description
12472 "This package provides methods and functionality to analyze flow data
12473 that is beyond the basic infrastructure provided by the @code{flowCore}
12474 package.")
12475 (license license:artistic2.0)))
12476
12477 (define-public r-opencyto
12478 (package
12479 (name "r-opencyto")
12480 (version "2.8.4")
12481 (source
12482 (origin
12483 (method url-fetch)
12484 (uri (bioconductor-uri "openCyto" version))
12485 (sha256
12486 (base32
12487 "0fa3hbbrjw458dhmxdjypcjgyxmphp9kdr3r62qqf803i4wsxfk0"))))
12488 (properties `((upstream-name . "openCyto")))
12489 (build-system r-build-system)
12490 (propagated-inputs
12491 (list r-biobase
12492 r-biocgenerics
12493 r-clue
12494 r-data-table
12495 r-flowclust
12496 r-flowcore
12497 r-flowstats
12498 r-flowviz
12499 r-flowworkspace
12500 r-graph
12501 r-gtools
12502 r-ks
12503 r-lattice
12504 r-mass
12505 r-ncdfflow
12506 r-plyr
12507 r-r-utils
12508 r-rbgl
12509 r-rcolorbrewer
12510 r-rcpp
12511 r-rrcov))
12512 (native-inputs
12513 (list r-knitr))
12514 (home-page "https://bioconductor.org/packages/openCyto")
12515 (synopsis "Hierarchical gating pipeline for flow cytometry data")
12516 (description
12517 "This package is designed to facilitate the automated gating methods in a
12518 sequential way to mimic the manual gating strategy.")
12519 (license license:artistic2.0)))
12520
12521 (define-public r-cytoml
12522 (package
12523 (name "r-cytoml")
12524 (version "2.8.1")
12525 (source
12526 (origin
12527 (method url-fetch)
12528 (uri (bioconductor-uri "CytoML" version))
12529 (sha256
12530 (base32
12531 "01yzdljpyq92bv318b5qs29f190226zwbqjnckvxmbb0k8m7s5hw"))))
12532 (properties `((upstream-name . "CytoML")))
12533 (build-system r-build-system)
12534 (inputs
12535 (list libxml2 zlib))
12536 (propagated-inputs
12537 (list r-base64enc
12538 r-bh
12539 r-biobase
12540 r-corpcor
12541 r-cytolib
12542 r-data-table
12543 r-dplyr
12544 r-flowcore
12545 r-flowworkspace
12546 r-ggcyto
12547 r-graph
12548 r-jsonlite
12549 r-lattice
12550 r-opencyto
12551 r-plyr
12552 r-rbgl
12553 r-rcpp
12554 r-rcpparmadillo
12555 r-rcppparallel
12556 r-rgraphviz
12557 r-rhdf5lib
12558 r-rprotobuflib
12559 r-runit
12560 r-tibble
12561 r-xml
12562 r-xml2
12563 r-yaml))
12564 (native-inputs
12565 (list r-knitr))
12566 (home-page "https://github.com/RGLab/CytoML")
12567 (synopsis "GatingML interface for cross platform cytometry data sharing")
12568 (description
12569 "This package provides an interface to implementations of the GatingML2.0
12570 standard to exchange gated cytometry data with other software platforms.")
12571 (license license:artistic2.0)))
12572
12573 (define-public r-flowsom
12574 (package
12575 (name "r-flowsom")
12576 (version "2.4.0")
12577 (source
12578 (origin
12579 (method url-fetch)
12580 (uri (bioconductor-uri "FlowSOM" version))
12581 (sha256
12582 (base32
12583 "0balsds5mm981cqamdjv3ndq1y9arharisd6f2lrpkzgvwawa645"))))
12584 (properties `((upstream-name . "FlowSOM")))
12585 (build-system r-build-system)
12586 (propagated-inputs
12587 (list r-biocgenerics
12588 r-colorramps
12589 r-consensusclusterplus
12590 r-cytoml
12591 r-dplyr
12592 r-flowcore
12593 r-flowworkspace
12594 r-ggforce
12595 r-ggnewscale
12596 r-ggplot2
12597 r-ggpointdensity
12598 r-ggpubr
12599 r-ggrepel
12600 r-igraph
12601 r-magrittr
12602 r-pheatmap
12603 r-rcolorbrewer
12604 r-rlang
12605 r-rtsne
12606 r-scattermore
12607 r-tidyr
12608 r-xml))
12609 (home-page "https://bioconductor.org/packages/FlowSOM/")
12610 (synopsis "Visualize and interpret cytometry data")
12611 (description
12612 "FlowSOM offers visualization options for cytometry data, by using
12613 self-organizing map clustering and minimal spanning trees.")
12614 (license license:gpl2+)))
12615
12616 (define-public r-mixomics
12617 (package
12618 (name "r-mixomics")
12619 (version "6.20.0")
12620 (source
12621 (origin
12622 (method url-fetch)
12623 (uri (bioconductor-uri "mixOmics" version))
12624 (sha256
12625 (base32
12626 "0fwc2w7frj0bjijzfckkxf7ipx1z13gw7907q4zr5qfl9mh127w7"))))
12627 (properties `((upstream-name . "mixOmics")))
12628 (build-system r-build-system)
12629 (propagated-inputs
12630 (list r-biocparallel
12631 r-corpcor
12632 r-dplyr
12633 r-ellipse
12634 r-ggrepel
12635 r-ggplot2
12636 r-gridextra
12637 r-igraph
12638 r-lattice
12639 r-mass
12640 r-matrixstats
12641 r-rarpack
12642 r-rcolorbrewer
12643 r-reshape2
12644 r-tidyr))
12645 (native-inputs
12646 (list r-knitr))
12647 (home-page "http://www.mixOmics.org")
12648 (synopsis "Multivariate methods for exploration of biological datasets")
12649 (description
12650 "mixOmics offers a wide range of multivariate methods for the exploration
12651 and integration of biological datasets with a particular focus on variable
12652 selection. The package proposes several sparse multivariate models we have
12653 developed to identify the key variables that are highly correlated, and/or
12654 explain the biological outcome of interest. The data that can be analysed
12655 with mixOmics may come from high throughput sequencing technologies, such as
12656 omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but
12657 also beyond the realm of omics (e.g. spectral imaging). The methods
12658 implemented in mixOmics can also handle missing values without having to
12659 delete entire rows with missing data.")
12660 (license license:gpl2+)))
12661
12662 (define-public r-depecher
12663 (package ;Source/Weave error
12664 (name "r-depecher")
12665 (version "1.12.0")
12666 (source
12667 (origin
12668 (method url-fetch)
12669 (uri (bioconductor-uri "DepecheR" version))
12670 (sha256
12671 (base32
12672 "0rixczdds5gpac50wap6s68kmpdj4208l38gcihkrysz5frbvqjp"))))
12673 (properties `((upstream-name . "DepecheR")))
12674 (build-system r-build-system)
12675 (propagated-inputs
12676 (list r-beanplot
12677 r-dosnow
12678 r-dplyr
12679 r-fnn
12680 r-foreach
12681 r-ggplot2
12682 r-gmodels
12683 r-gplots
12684 r-mass
12685 r-matrixstats
12686 r-mixomics
12687 r-moments
12688 r-rcpp
12689 r-rcppeigen
12690 r-reshape2
12691 r-robustbase
12692 r-viridis))
12693 (native-inputs
12694 (list r-knitr))
12695 (home-page "https://bioconductor.org/packages/DepecheR/")
12696 (synopsis "Identify traits of clusters in high-dimensional entities")
12697 (description
12698 "The purpose of this package is to identify traits in a dataset that can
12699 separate groups. This is done on two levels. First, clustering is performed,
12700 using an implementation of sparse K-means. Secondly, the generated clusters
12701 are used to predict outcomes of groups of individuals based on their
12702 distribution of observations in the different clusters. As certain clusters
12703 with separating information will be identified, and these clusters are defined
12704 by a sparse number of variables, this method can reduce the complexity of
12705 data, to only emphasize the data that actually matters.")
12706 (license license:expat)))
12707
12708 (define-public r-rcistarget
12709 (package
12710 (name "r-rcistarget")
12711 (version "1.16.0")
12712 (source
12713 (origin
12714 (method url-fetch)
12715 (uri (bioconductor-uri "RcisTarget" version))
12716 (sha256
12717 (base32
12718 "17fnjkg6rjqj33v7slg81skqag10y6dc14g5iv69gqshjal4w4im"))))
12719 (properties `((upstream-name . "RcisTarget")))
12720 (build-system r-build-system)
12721 (propagated-inputs
12722 (list r-arrow
12723 r-aucell
12724 r-biocgenerics
12725 r-data-table
12726 r-dplyr
12727 r-genomeinfodb
12728 r-genomicranges
12729 r-gseabase
12730 r-r-utils
12731 r-s4vectors
12732 r-summarizedexperiment
12733 r-tibble))
12734 (native-inputs
12735 (list r-knitr))
12736 (home-page "https://aertslab.org/#scenic")
12737 (synopsis "Identify transcription factor binding motifs enriched on a gene list")
12738 (description
12739 "RcisTarget identifies @dfn{transcription factor binding motifs} (TFBS)
12740 over-represented on a gene list. In a first step, RcisTarget selects DNA
12741 motifs that are significantly over-represented in the surroundings of the
12742 @dfn{transcription start site} (TSS) of the genes in the gene-set. This is
12743 achieved by using a database that contains genome-wide cross-species rankings
12744 for each motif. The motifs that are then annotated to TFs and those that have
12745 a high @dfn{Normalized Enrichment Score} (NES) are retained. Finally, for
12746 each motif and gene-set, RcisTarget predicts the candidate target genes (i.e.
12747 genes in the gene-set that are ranked above the leading edge).")
12748 (license license:gpl3)))
12749
12750 (define-public r-chicago
12751 (package
12752 (name "r-chicago")
12753 (version "1.24.0")
12754 (source
12755 (origin
12756 (method url-fetch)
12757 (uri (bioconductor-uri "Chicago" version))
12758 (sha256
12759 (base32
12760 "13vzxmvxpc3r9gii37zvhhr5nbnaggrva97g6m2n02qn9daf6vmm"))))
12761 (properties `((upstream-name . "Chicago")))
12762 (build-system r-build-system)
12763 (propagated-inputs
12764 (list r-data-table r-delaporte r-hmisc r-mass r-matrixstats))
12765 (native-inputs (list r-knitr))
12766 (home-page "https://bioconductor.org/packages/Chicago")
12767 (synopsis "Capture Hi-C analysis of genomic organization")
12768 (description
12769 "This package provides a pipeline for analysing Capture Hi-C data.")
12770 (license license:artistic2.0)))
12771
12772 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
12773 ;; it here.
12774 (define-public r-ciara
12775 (package
12776 (name "r-ciara")
12777 (version "0.1.0")
12778 (source (origin
12779 (method url-fetch)
12780 (uri (cran-uri "CIARA" version))
12781 (sha256
12782 (base32
12783 "0nr7wks9231326x0lhpbh824c6vcb5hr5jn89s9bmg9mci907bsf"))))
12784 (properties `((upstream-name . "CIARA")))
12785 (build-system r-build-system)
12786 (propagated-inputs (list r-biobase r-ggplot2 r-ggraph r-magrittr))
12787 (native-inputs (list r-knitr))
12788 (home-page "https://cran.r-project.org/package=CIARA")
12789 (synopsis "Cluster-independent algorithm for rare cell types identification")
12790 (description
12791 "This is a package to support identification of markers of rare cell
12792 types by looking at genes whose expression is confined in small regions of the
12793 expression space.")
12794 (license license:artistic2.0)))
12795
12796 (define-public r-cicero
12797 (package
12798 (name "r-cicero")
12799 (version "1.14.0")
12800 (source
12801 (origin
12802 (method url-fetch)
12803 (uri (bioconductor-uri "cicero" version))
12804 (sha256
12805 (base32
12806 "1ip12ijazlmcfbym078slxykpkz7d1zwvs8l8aqdnqpxjfk1ipx5"))))
12807 (build-system r-build-system)
12808 (propagated-inputs
12809 (list r-assertthat
12810 r-biobase
12811 r-biocgenerics
12812 r-data-table
12813 r-dplyr
12814 r-fnn
12815 r-genomicranges
12816 r-ggplot2
12817 r-glasso
12818 r-gviz
12819 r-igraph
12820 r-iranges
12821 r-matrix
12822 r-monocle
12823 r-plyr
12824 r-reshape2
12825 r-s4vectors
12826 r-stringi
12827 r-stringr
12828 r-tibble
12829 r-tidyr
12830 r-vgam))
12831 (native-inputs
12832 (list r-knitr))
12833 (home-page "https://bioconductor.org/packages/cicero/")
12834 (synopsis "Predict cis-co-accessibility from single-cell data")
12835 (description
12836 "Cicero computes putative cis-regulatory maps from single-cell chromatin
12837 accessibility data. It also extends the monocle package for use in chromatin
12838 accessibility data.")
12839 (license license:expat)))
12840
12841 ;; This is the latest commit on the "monocle3" branch.
12842 (define-public r-cicero-monocle3
12843 (let ((commit "fa2fb6515857a8cfc88bc9af044f34de1bcd2b7b")
12844 (revision "1"))
12845 (package (inherit r-cicero)
12846 (name "r-cicero-monocle3")
12847 (version (git-version "1.3.2" revision commit))
12848 (source
12849 (origin
12850 (method git-fetch)
12851 (uri (git-reference
12852 (url "https://github.com/cole-trapnell-lab/cicero-release")
12853 (commit commit)))
12854 (file-name (git-file-name name version))
12855 (sha256
12856 (base32
12857 "077yza93wdhi08n40md20jwk55k9lw1f3y0063qkk90cpz60wi0c"))))
12858 (propagated-inputs
12859 (modify-inputs (package-propagated-inputs r-cicero)
12860 (delete "r-monocle")
12861 (prepend r-monocle3))))))
12862
12863 (define-public r-circrnaprofiler
12864 (package
12865 (name "r-circrnaprofiler")
12866 (version "1.10.0")
12867 (source
12868 (origin
12869 (method url-fetch)
12870 (uri (bioconductor-uri "circRNAprofiler" version))
12871 (sha256
12872 (base32
12873 "1gwm416shhv2p3gh1n6kv1rvx0n0imy25b7z62z4s8b3gs3nfp5j"))))
12874 (properties
12875 `((upstream-name . "circRNAprofiler")))
12876 (build-system r-build-system)
12877 (propagated-inputs
12878 (list r-annotationhub
12879 r-biostrings
12880 r-bsgenome
12881 r-bsgenome-hsapiens-ucsc-hg19
12882 r-deseq2
12883 r-dplyr
12884 r-edger
12885 r-genomeinfodb
12886 r-genomicranges
12887 r-ggplot2
12888 r-gwascat
12889 r-iranges
12890 r-magrittr
12891 r-r-utils
12892 r-readr
12893 r-reshape2
12894 r-rlang
12895 r-rtracklayer
12896 r-s4vectors
12897 r-seqinr
12898 r-stringi
12899 r-stringr
12900 r-universalmotif))
12901 (native-inputs
12902 (list r-knitr))
12903 (home-page
12904 "https://github.com/Aufiero/circRNAprofiler")
12905 (synopsis
12906 "Computational framework for the downstream analysis of circular RNA's")
12907 (description
12908 "@code{r-circrnaprofiler} is a computational framework for a comprehensive
12909 in silico analysis of @dfn{circular RNA} (circRNAs). This computational
12910 framework allows combining and analyzing circRNAs previously detected by
12911 multiple publicly available annotation-based circRNA detection tools. It
12912 covers different aspects of circRNAs analysis from differential expression
12913 analysis, evolutionary conservation, biogenesis to functional analysis.")
12914 (license license:gpl3)))
12915
12916 (define-public r-cistopic
12917 (package
12918 (name "r-cistopic")
12919 (version "2.1.0")
12920 (source
12921 (origin
12922 (method git-fetch)
12923 (uri (git-reference
12924 (url "https://github.com/aertslab/cisTopic")
12925 (commit (string-append "v" version))))
12926 (file-name (git-file-name name version))
12927 (sha256
12928 (base32
12929 "0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf"))))
12930 (build-system r-build-system)
12931 (propagated-inputs
12932 (list r-aucell
12933 r-data-table
12934 r-dplyr
12935 r-dosnow
12936 r-dt
12937 r-feather
12938 r-fitdistrplus
12939 r-genomicranges
12940 r-ggplot2
12941 r-lda
12942 r-matrix
12943 r-plyr
12944 r-rcistarget
12945 r-rtracklayer
12946 r-s4vectors))
12947 (home-page "https://github.com/aertslab/cisTopic")
12948 (synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
12949 (description
12950 "The sparse nature of single cell epigenomics data can be overruled using
12951 probabilistic modelling methods such as @dfn{Latent Dirichlet
12952 Allocation} (LDA). This package allows the probabilistic modelling of
12953 cis-regulatory topics (cisTopics) from single cell epigenomics data, and
12954 includes functionalities to identify cell states based on the contribution of
12955 cisTopics and explore the nature and regulatory proteins driving them.")
12956 (license license:gpl3)))
12957
12958 (define-public r-cistopic-next
12959 (let ((commit "04cecbb9d1112fcc1a6edc28b5a506bcb49f2803")
12960 (revision "1"))
12961 (package
12962 (inherit r-cistopic)
12963 (name "r-cistopic-next")
12964 ;; The DESCRIPTION file says this is version 0.3.0, which is a bit odd
12965 ;; since the previous release is 2.1.0. Oh well.
12966 (version (git-version "0.3.0" revision commit))
12967 (source
12968 (origin
12969 (method git-fetch)
12970 (uri (git-reference
12971 (url "https://github.com/aertslab/cisTopic")
12972 (commit commit)))
12973 (file-name (git-file-name name version))
12974 (sha256
12975 (base32
12976 "11cg9szlysnsjiaahda4k5v2vh4rxx27zhz53hafgaq9mdz0kgi2"))))
12977 (properties `((upstream-name . "cisTopic")))
12978 (propagated-inputs
12979 (list r-aucell
12980 r-data-table
12981 r-dosnow
12982 r-dplyr
12983 r-dt
12984 r-feather
12985 r-fitdistrplus
12986 r-genomicranges
12987 r-ggplot2
12988 r-lda
12989 r-matrix
12990 r-plyr
12991 r-rcistarget
12992 r-rtracklayer
12993 r-s4vectors
12994 r-text2vec))
12995 (native-inputs
12996 (list r-knitr)))))
12997
12998 (define-public r-genie3
12999 (package
13000 (name "r-genie3")
13001 (version "1.18.0")
13002 (source
13003 (origin
13004 (method url-fetch)
13005 (uri (bioconductor-uri "GENIE3" version))
13006 (sha256
13007 (base32
13008 "0h3vnpnznb9rda8gfwp4cnd2mqsvs1vzmfx90dchn5pqaphz1k2l"))))
13009 (properties `((upstream-name . "GENIE3")))
13010 (build-system r-build-system)
13011 (propagated-inputs
13012 (list r-dplyr r-reshape2))
13013 (native-inputs
13014 (list r-knitr))
13015 (home-page "https://bioconductor.org/packages/GENIE3")
13016 (synopsis "Gene network inference with ensemble of trees")
13017 (description
13018 "This package implements the GENIE3 algorithm for inferring gene
13019 regulatory networks from expression data.")
13020 (license license:gpl2+)))
13021
13022 (define-public r-roc
13023 (package
13024 (name "r-roc")
13025 (version "1.72.0")
13026 (source
13027 (origin
13028 (method url-fetch)
13029 (uri (bioconductor-uri "ROC" version))
13030 (sha256
13031 (base32
13032 "0yfq0d0j2bzqdnjs6l2h6p48kmv9wfphlqym3brgndlnadipq1v2"))))
13033 (properties `((upstream-name . "ROC")))
13034 (build-system r-build-system)
13035 (native-inputs
13036 (list r-knitr))
13037 (home-page "https://www.bioconductor.org/packages/ROC/")
13038 (synopsis "Utilities for ROC curves")
13039 (description
13040 "This package provides utilities for @dfn{Receiver Operating
13041 Characteristic} (ROC) curves, with a focus on micro arrays.")
13042 (license license:artistic2.0)))
13043
13044 (define-public r-watermelon
13045 (package
13046 (name "r-watermelon")
13047 (version "2.2.0")
13048 (source
13049 (origin
13050 (method url-fetch)
13051 (uri (bioconductor-uri "wateRmelon" version))
13052 (sha256
13053 (base32
13054 "0adqyfabrvfcaj3mwp0rbqlcgpj92yb205cyhibbrs5gdr5ri4pv"))))
13055 (properties `((upstream-name . "wateRmelon")))
13056 (build-system r-build-system)
13057 (propagated-inputs
13058 (list r-biobase
13059 r-illuminahumanmethylation450kanno-ilmn12-hg19
13060 r-illuminaio
13061 r-limma
13062 r-lumi
13063 r-matrixstats
13064 r-methylumi
13065 r-roc))
13066 (native-inputs
13067 (list r-knitr))
13068 (home-page "https://bioconductor.org/packages/wateRmelon/")
13069 (synopsis "Illumina 450 methylation array normalization and metrics")
13070 (description
13071 "The standard index of DNA methylation (beta) is computed from methylated
13072 and unmethylated signal intensities. Betas calculated from raw signal
13073 intensities perform well, but using 11 methylomic datasets we demonstrate that
13074 quantile normalization methods produce marked improvement. The commonly used
13075 procedure of normalizing betas is inferior to the separate normalization of M
13076 and U, and it is also advantageous to normalize Type I and Type II assays
13077 separately. This package provides 15 flavours of betas and three performance
13078 metrics, with methods for objects produced by the @code{methylumi} and
13079 @code{minfi} packages.")
13080 (license license:gpl3)))
13081
13082 (define-public r-gdsfmt
13083 (package
13084 (name "r-gdsfmt")
13085 (version "1.32.0")
13086 (source
13087 (origin
13088 (method url-fetch)
13089 (uri (bioconductor-uri "gdsfmt" version))
13090 (sha256
13091 (base32
13092 "1cdwyivgfc6yw5hj9b3j57wx55gckwhx6fwx2lvqynrjzjyzf3q0"))
13093 (modules '((guix build utils)))
13094 ;; Remove bundled sources of zlib, lz4, and xz. Don't attempt to build
13095 ;; them and link with system libraries instead.
13096 (snippet
13097 '(begin
13098 (for-each delete-file-recursively
13099 '("src/LZ4"
13100 "src/XZ"
13101 "src/ZLIB"))
13102 (substitute* "src/Makevars"
13103 (("all: \\$\\(SHLIB\\)") "all:")
13104 (("\\$\\(SHLIB\\): liblzma.a") "")
13105 (("^ (ZLIB|LZ4)/.*") "")
13106 (("CoreArray/dVLIntGDS.cpp.*")
13107 "CoreArray/dVLIntGDS.cpp")
13108 (("CoreArray/dVLIntGDS.o.*")
13109 "CoreArray/dVLIntGDS.o")
13110 (("PKG_LIBS = ./liblzma.a")
13111 "PKG_LIBS = -llz4"))
13112 (substitute* "src/CoreArray/dStream.h"
13113 (("include \"../(ZLIB|LZ4|XZ/api)/(.*)\"" _ _ header)
13114 (string-append "include <" header ">")))))))
13115 (properties `((upstream-name . "gdsfmt")))
13116 (build-system r-build-system)
13117 (inputs
13118 (list lz4 xz zlib))
13119 (native-inputs
13120 (list r-knitr))
13121 (home-page "http://corearray.sourceforge.net/")
13122 (synopsis
13123 "R Interface to CoreArray Genomic Data Structure (GDS) Files")
13124 (description
13125 "This package provides a high-level R interface to CoreArray @dfn{Genomic
13126 Data Structure} (GDS) data files, which are portable across platforms with
13127 hierarchical structure to store multiple scalable array-oriented data sets
13128 with metadata information. It is suited for large-scale datasets, especially
13129 for data which are much larger than the available random-access memory. The
13130 @code{gdsfmt} package offers efficient operations specifically designed for
13131 integers of less than 8 bits, since a diploid genotype, like
13132 @dfn{single-nucleotide polymorphism} (SNP), usually occupies fewer bits than a
13133 byte. Data compression and decompression are available with relatively
13134 efficient random access. It is also allowed to read a GDS file in parallel
13135 with multiple R processes supported by the package @code{parallel}.")
13136 (license license:lgpl3)))
13137
13138 (define-public r-bigmelon
13139 (package
13140 (name "r-bigmelon")
13141 (version "1.22.0")
13142 (source
13143 (origin
13144 (method url-fetch)
13145 (uri (bioconductor-uri "bigmelon" version))
13146 (sha256
13147 (base32
13148 "1msch4qbifkdqv0bbw03xj6d9w28z91mf4ki41rqg6048cq17h2k"))))
13149 (properties `((upstream-name . "bigmelon")))
13150 (build-system r-build-system)
13151 (propagated-inputs
13152 (list r-biobase
13153 r-biocgenerics
13154 r-gdsfmt
13155 r-geoquery
13156 r-illuminaio
13157 r-methylumi
13158 r-minfi
13159 r-watermelon))
13160 (native-inputs
13161 (list r-knitr))
13162 (home-page "https://bioconductor.org/packages/bigmelon/")
13163 (synopsis "Illumina methylation array analysis for large experiments")
13164 (description
13165 "This package provides methods for working with Illumina arrays using the
13166 @code{gdsfmt} package.")
13167 (license license:gpl3)))
13168
13169 (define-public r-seqbias
13170 (package
13171 (name "r-seqbias")
13172 (version "1.44.0")
13173 (source
13174 (origin
13175 (method url-fetch)
13176 (uri (bioconductor-uri "seqbias" version))
13177 (sha256
13178 (base32
13179 "085nq6pf0bdn17wsbr5jnyy512v7rf67xff9rp5wz47mcifbv6rg"))))
13180 (properties `((upstream-name . "seqbias")))
13181 (build-system r-build-system)
13182 (propagated-inputs
13183 (list r-biostrings r-genomicranges r-rhtslib))
13184 (home-page "https://bioconductor.org/packages/seqbias/")
13185 (synopsis "Estimation of per-position bias in high-throughput sequencing data")
13186 (description
13187 "This package implements a model of per-position sequencing bias in
13188 high-throughput sequencing data using a simple Bayesian network, the structure
13189 and parameters of which are trained on a set of aligned reads and a reference
13190 genome sequence.")
13191 (license license:lgpl3)))
13192
13193 (define-public r-reqon
13194 (package
13195 (name "r-reqon")
13196 (version "1.42.0")
13197 (source
13198 (origin
13199 (method url-fetch)
13200 (uri (bioconductor-uri "ReQON" version))
13201 (sha256
13202 (base32
13203 "1f5pplm8fy3wvl0b6n18gph4dq9i9x5qiyjrj0bk0kwlkbpba74r"))))
13204 (properties `((upstream-name . "ReQON")))
13205 (build-system r-build-system)
13206 (propagated-inputs
13207 (list r-rjava r-rsamtools r-seqbias))
13208 (home-page "https://bioconductor.org/packages/ReQON/")
13209 (synopsis "Recalibrating quality of nucleotides")
13210 (description
13211 "This package provides an implementation of an algorithm for
13212 recalibrating the base quality scores for aligned sequencing data in BAM
13213 format.")
13214 (license license:gpl2)))
13215
13216 (define-public r-wavcluster
13217 (package
13218 (name "r-wavcluster")
13219 (version "2.30.0")
13220 (source
13221 (origin
13222 (method url-fetch)
13223 (uri (bioconductor-uri "wavClusteR" version))
13224 (sha256
13225 (base32
13226 "04di095i9i19j9ppx8gdsk7n18vd02d4rjdi9d4a3p0xv05ihnb6"))))
13227 (properties `((upstream-name . "wavClusteR")))
13228 (build-system r-build-system)
13229 (propagated-inputs
13230 (list r-biocgenerics
13231 r-biostrings
13232 r-foreach
13233 r-genomicfeatures
13234 r-genomicranges
13235 r-ggplot2
13236 r-hmisc
13237 r-iranges
13238 r-mclust
13239 r-rsamtools
13240 r-rtracklayer
13241 r-s4vectors
13242 r-seqinr
13243 r-stringr))
13244 (native-inputs
13245 (list r-knitr))
13246 (home-page "https://bioconductor.org/packages/wavClusteR/")
13247 (synopsis "Identification of RNA-protein interaction sites in PAR-CLIP data")
13248 (description
13249 "This package provides an integrated pipeline for the analysis of
13250 PAR-CLIP data. PAR-CLIP-induced transitions are first discriminated from
13251 sequencing errors, SNPs and additional non-experimental sources by a non-
13252 parametric mixture model. The protein binding sites (clusters) are then
13253 resolved at high resolution and cluster statistics are estimated using a
13254 rigorous Bayesian framework. Post-processing of the results, data export for
13255 UCSC genome browser visualization and motif search analysis are provided. In
13256 addition, the package integrates RNA-Seq data to estimate the False
13257 Discovery Rate of cluster detection. Key functions support parallel multicore
13258 computing. While wavClusteR was designed for PAR-CLIP data analysis, it can
13259 be applied to the analysis of other NGS data obtained from experimental
13260 procedures that induce nucleotide substitutions (e.g. BisSeq).")
13261 (license license:gpl2)))
13262
13263 (define-public r-timeseriesexperiment
13264 (package
13265 (name "r-timeseriesexperiment")
13266 (version "1.13.0")
13267 (source
13268 (origin
13269 (method url-fetch)
13270 (uri (bioconductor-uri "TimeSeriesExperiment" version))
13271 (sha256
13272 (base32
13273 "0bdpxxr739qdg92qabfx122k9f43vw2hyxp4yxqlbp37vzgcdf2c"))))
13274 (properties
13275 `((upstream-name . "TimeSeriesExperiment")))
13276 (build-system r-build-system)
13277 (propagated-inputs
13278 (list r-deseq2
13279 r-dplyr
13280 r-dynamictreecut
13281 r-edger
13282 r-ggplot2
13283 r-hmisc
13284 r-limma
13285 r-magrittr
13286 r-proxy
13287 r-s4vectors
13288 r-summarizedexperiment
13289 r-tibble
13290 r-tidyr
13291 r-vegan
13292 r-viridis))
13293 (native-inputs
13294 (list r-knitr))
13295 (home-page "https://github.com/nlhuong/TimeSeriesExperiment/")
13296 (synopsis "Analysis for short time-series data")
13297 (description
13298 "This package is a visualization and analysis toolbox for short time
13299 course data which includes dimensionality reduction, clustering, two-sample
13300 differential expression testing and gene ranking techniques. The package also
13301 provides methods for retrieving enriched pathways.")
13302 (license license:lgpl3+)))
13303
13304 (define-public r-variantfiltering
13305 (package
13306 (name "r-variantfiltering")
13307 (version "1.32.0")
13308 (source
13309 (origin
13310 (method url-fetch)
13311 (uri (bioconductor-uri "VariantFiltering" version))
13312 (sha256
13313 (base32
13314 "1bjqn8qik221x0bqvgd99p87v45iihwp6cxckh4ks964pd0c1xk8"))))
13315 (properties
13316 `((upstream-name . "VariantFiltering")))
13317 (build-system r-build-system)
13318 (propagated-inputs
13319 (list r-annotationdbi
13320 r-biobase
13321 r-biocgenerics
13322 r-biocparallel
13323 r-biostrings
13324 r-bsgenome
13325 r-dt
13326 r-genomeinfodb
13327 r-genomicfeatures
13328 r-genomicranges
13329 r-genomicscores
13330 r-graph
13331 r-gviz
13332 r-iranges
13333 r-rbgl
13334 r-rsamtools
13335 r-s4vectors
13336 r-shiny
13337 r-shinyjs
13338 r-shinythemes
13339 r-shinytree
13340 r-summarizedexperiment
13341 r-variantannotation
13342 r-xvector))
13343 (home-page "https://github.com/rcastelo/VariantFiltering")
13344 (synopsis "Filtering of coding and non-coding genetic variants")
13345 (description
13346 "Filter genetic variants using different criteria such as inheritance
13347 model, amino acid change consequence, minor allele frequencies across human
13348 populations, splice site strength, conservation, etc.")
13349 (license license:artistic2.0)))
13350
13351 (define-public r-genomegraphs
13352 (package
13353 (name "r-genomegraphs")
13354 (version "1.46.0")
13355 (source
13356 (origin
13357 (method url-fetch)
13358 (uri (bioconductor-uri "GenomeGraphs" version))
13359 (sha256
13360 (base32
13361 "05vavhz936v7cknig2f2mn3fd9fiy54r3swlvifpawramblp1ags"))))
13362 (properties `((upstream-name . "GenomeGraphs")))
13363 (build-system r-build-system)
13364 (propagated-inputs
13365 (list r-biomart))
13366 (home-page "https://bioconductor.org/packages/GenomeGraphs/")
13367 (synopsis "Plotting genomic information from Ensembl")
13368 (description
13369 "Genomic data analyses requires integrated visualization of known genomic
13370 information and new experimental data. GenomeGraphs uses the biomaRt package
13371 to perform live annotation queries to Ensembl and translates this to e.g.
13372 gene/transcript structures in viewports of the grid graphics package. This
13373 results in genomic information plotted together with your data. Another
13374 strength of GenomeGraphs is to plot different data types such as array CGH,
13375 gene expression, sequencing and other data, together in one plot using the
13376 same genome coordinate system.")
13377 (license license:artistic2.0)))
13378
13379 (define-public r-wavetiling
13380 (package
13381 (name "r-wavetiling")
13382 (version "1.28.0")
13383 (source
13384 (origin
13385 (method url-fetch)
13386 (uri (bioconductor-uri "waveTiling" version))
13387 (sha256
13388 (base32
13389 "0d7l559zlmly8mncmh1zhkqmsml0bwwfpm7ccp8l26y852vwf7hf"))))
13390 (properties `((upstream-name . "waveTiling")))
13391 (build-system r-build-system)
13392 (propagated-inputs
13393 (list r-affy
13394 r-biobase
13395 r-biostrings
13396 r-genomegraphs
13397 r-genomicranges
13398 r-iranges
13399 r-oligo
13400 r-oligoclasses
13401 r-preprocesscore
13402 r-waveslim))
13403 (home-page "https://r-forge.r-project.org/projects/wavetiling/")
13404 (synopsis "Wavelet-based models for tiling array transcriptome analysis")
13405 (description
13406 "This package is designed to conduct transcriptome analysis for tiling
13407 arrays based on fast wavelet-based functional models.")
13408 (license license:gpl2+)))
13409
13410 (define-public r-variancepartition
13411 (package
13412 (name "r-variancepartition")
13413 (version "1.26.0")
13414 (source
13415 (origin
13416 (method url-fetch)
13417 (uri (bioconductor-uri "variancePartition" version))
13418 (sha256
13419 (base32
13420 "0wk1xql8b0gxyrqz9hs54xvmp7qdw9b8jnv88p4vgv061iwyk7wv"))))
13421 (properties
13422 `((upstream-name . "variancePartition")))
13423 (build-system r-build-system)
13424 (propagated-inputs
13425 (list r-aod
13426 r-biobase
13427 r-biocparallel
13428 r-doparallel
13429 r-foreach
13430 r-ggplot2
13431 r-gplots
13432 r-iterators
13433 r-limma
13434 r-lme4
13435 r-lmertest
13436 r-mass
13437 r-matrix
13438 r-pbkrtest
13439 r-progress
13440 r-rdpack
13441 r-reshape2
13442 r-rhpcblasctl
13443 r-rlang
13444 r-scales))
13445 (native-inputs
13446 (list r-knitr))
13447 (home-page "https://bioconductor.org/packages/variancePartition/")
13448 (synopsis "Analyze variation in gene expression experiments")
13449 (description
13450 "This is a package providing tools to quantify and interpret multiple
13451 sources of biological and technical variation in gene expression experiments.
13452 It uses a linear mixed model to quantify variation in gene expression
13453 attributable to individual, tissue, time point, or technical variables. The
13454 package includes dream differential expression analysis for repeated
13455 measures.")
13456 (license license:gpl2+)))
13457
13458 (define-public r-htqpcr
13459 (package
13460 (name "r-htqpcr")
13461 (version "1.50.0")
13462 (source
13463 (origin
13464 (method url-fetch)
13465 (uri (bioconductor-uri "HTqPCR" version))
13466 (sha256
13467 (base32
13468 "0am98rzwpi3kybq1l27c5qn3n1pg5aqwmh6jq9q0lzbjjin3haqc"))))
13469 (properties `((upstream-name . "HTqPCR")))
13470 (build-system r-build-system)
13471 (propagated-inputs
13472 (list r-affy r-biobase r-gplots r-limma r-rcolorbrewer))
13473 (home-page (string-append "https://www.ebi.ac.uk/sites/ebi.ac.uk/files/"
13474 "groups/bertone/software/HTqPCR.pdf"))
13475 (synopsis "Automated analysis of high-throughput qPCR data")
13476 (description
13477 "Analysis of Ct values from high throughput quantitative real-time
13478 PCR (qPCR) assays across multiple conditions or replicates. The input data
13479 can be from spatially-defined formats such ABI TaqMan Low Density Arrays or
13480 OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad
13481 Laboratories; conventional 96- or 384-well plates; or microfluidic devices
13482 such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data
13483 loading, quality assessment, normalization, visualization and parametric or
13484 non-parametric testing for statistical significance in Ct values between
13485 features (e.g. genes, microRNAs).")
13486 (license license:artistic2.0)))
13487
13488 (define-public r-unifiedwmwqpcr
13489 (package
13490 (name "r-unifiedwmwqpcr")
13491 (version "1.32.0")
13492 (source
13493 (origin
13494 (method url-fetch)
13495 (uri (bioconductor-uri "unifiedWMWqPCR" version))
13496 (sha256
13497 (base32
13498 "1skfs94a6bv05c844zf5vfqw1fbgxyppgdnckdbhxg2a2470a4wh"))))
13499 (properties
13500 `((upstream-name . "unifiedWMWqPCR")))
13501 (build-system r-build-system)
13502 (propagated-inputs
13503 (list r-biocgenerics r-htqpcr))
13504 (home-page "https://bioconductor.org/packages/unifiedWMWqPCR")
13505 (synopsis "Unified Wilcoxon-Mann Whitney Test for differential expression in qPCR data")
13506 (description
13507 "This package implements the unified Wilcoxon-Mann-Whitney Test for qPCR
13508 data. This modified test allows for testing differential expression in qPCR
13509 data.")
13510 (license license:gpl2+)))
13511
13512 (define-public r-universalmotif
13513 (package
13514 (name "r-universalmotif")
13515 (version "1.14.1")
13516 (source
13517 (origin
13518 (method url-fetch)
13519 (uri (bioconductor-uri "universalmotif" version))
13520 (sha256
13521 (base32
13522 "1sm54z8aq3534qjsa19wychhwcvwnjlkydmiqqvidiiwcxwqpjsr"))))
13523 (properties
13524 `((upstream-name . "universalmotif")))
13525 (build-system r-build-system)
13526 (arguments
13527 `(#:phases
13528 (modify-phases %standard-phases
13529 (add-after 'unpack 'fix-reference-to-strip
13530 (lambda _
13531 (substitute* "src/Makevars"
13532 (("/usr/bin/strip") (which "strip"))))))))
13533 (propagated-inputs
13534 (list r-biocgenerics
13535 r-biostrings
13536 r-ggplot2
13537 r-iranges
13538 r-mass
13539 r-rcpp
13540 r-rcppthread
13541 r-rlang
13542 r-s4vectors
13543 r-yaml))
13544 (native-inputs
13545 (list r-knitr))
13546 (home-page
13547 "https://bioconductor.org/packages/universalmotif/")
13548 (synopsis
13549 "Specific structures importer, modifier, and exporter for R")
13550 (description
13551 "This package allows importing most common @dfn{specific structure}
13552 (motif) types into R for use by functions provided by other Bioconductor
13553 motif-related packages. Motifs can be exported into most major motif formats
13554 from various classes as defined by other Bioconductor packages. A suite of
13555 motif and sequence manipulation and analysis functions are included, including
13556 enrichment, comparison, P-value calculation, shuffling, trimming, higher-order
13557 motifs, and others.")
13558 (license license:gpl3)))
13559
13560 (define-public r-ace
13561 (package
13562 (name "r-ace")
13563 (version "1.14.0")
13564 (source (origin
13565 (method url-fetch)
13566 (uri (bioconductor-uri "ACE" version))
13567 (sha256
13568 (base32
13569 "1xnw288vz810vjkidar5h218wyc0q2hx0k4zi3r88vaz5rfhc05m"))))
13570 (properties `((upstream-name . "ACE")))
13571 (build-system r-build-system)
13572 (propagated-inputs (list r-biobase r-genomicranges r-ggplot2 r-qdnaseq))
13573 (native-inputs (list r-knitr))
13574 (home-page "https://github.com/tgac-vumc/ACE")
13575 (synopsis
13576 "Absolute copy number estimation from low-coverage whole genome sequencing")
13577 (description
13578 "This package uses segmented copy number data to estimate tumor cell
13579 percentage and produce copy number plots displaying absolute copy numbers. For
13580 this it uses segmented data from the @code{QDNAseq} package, which in turn uses
13581 a number of dependencies to turn mapped reads into segmented data. @code{ACE}
13582 will run @code{QDNAseq} or use its output rds-file of segmented data. It will
13583 subsequently run through all samples in the object(s), for which it will create
13584 individual subdirectories. For each sample, it will calculate how well the
13585 segments fit (the relative error) to integer copy numbers for each percentage
13586 of @dfn{tumor cells} (cells with divergent segments).")
13587 (license license:gpl2)))
13588
13589 (define-public r-acgh
13590 (package
13591 (name "r-acgh")
13592 (version "1.74.0")
13593 (source (origin
13594 (method url-fetch)
13595 (uri (bioconductor-uri "aCGH" version))
13596 (sha256
13597 (base32
13598 "00ni0kwy68v33ggfi8g5vffirhmbhaxg4l54hcqhx75m535z1x7d"))))
13599 (properties `((upstream-name . "aCGH")))
13600 (build-system r-build-system)
13601 (propagated-inputs (list r-biobase r-cluster r-multtest r-survival))
13602 (home-page "https://bioconductor.org/packages/aCGH")
13603 (synopsis
13604 "Classes and functions for array comparative genomic hybridization data")
13605 (description
13606 "This package provides functions for reading
13607 @dfn{array comparative genomic hybridization} (aCGH) data from image analysis
13608 output files and clone information files, creation of @code{aCGH} objects for
13609 storing these data. Basic methods are accessing/replacing, subsetting,
13610 printing and plotting @code{aCGH} objects.")
13611 (license license:gpl2)))
13612
13613 (define-public r-acme
13614 (package
13615 (name "r-acme")
13616 (version "2.52.0")
13617 (source (origin
13618 (method url-fetch)
13619 (uri (bioconductor-uri "ACME" version))
13620 (sha256
13621 (base32
13622 "0ilcsgpc4m47gifxc0yzx2xi3g4day515mncnnjvfdj3iq8xwk25"))))
13623 (properties `((upstream-name . "ACME")))
13624 (build-system r-build-system)
13625 (propagated-inputs (list r-biobase r-biocgenerics))
13626 (home-page "https://bioconductor.org/packages/aCGH/")
13627 (synopsis "Calculating microarray enrichment")
13628 (description
13629 "This package implements @dfn{algorithms for calculating microarray
13630 enrichment} (ACME), and it is a set of tools for analysing tiling array of
13631 @dfn{combined chromatin immunoprecipitation with DNA microarray} (ChIP/chip),
13632 DNAse hypersensitivity, or other experiments that result in regions of the
13633 genome showing enrichment. It does not rely on a specific array technology
13634 (although the array should be a tiling array), is very general (can be applied
13635 in experiments resulting in regions of enrichment), and is very insensitive to
13636 array noise or normalization methods. It is also very fast and can be applied
13637 on whole-genome tiling array experiments quite easily with enough memory.")
13638 (license license:gpl2+)))
13639
13640 (define-public r-acde
13641 (package
13642 (name "r-acde")
13643 (version "1.26.0")
13644 (source (origin
13645 (method url-fetch)
13646 (uri (bioconductor-uri "acde" version))
13647 (sha256
13648 (base32
13649 "0lgq546y4qklfzbc6fjr3d656hn76p6dn4694qfiafql2nlsjbj2"))))
13650 (properties `((upstream-name . "acde")))
13651 (build-system r-build-system)
13652 (propagated-inputs (list r-boot))
13653 (home-page "https://bioconductor.org/packages/acde")
13654 (synopsis
13655 "Identification of differentially expressed genes with artificial components")
13656 (description
13657 "This package provides a multivariate inferential analysis method for
13658 detecting differentially expressed genes in gene expression data. It uses
13659 artificial components, close to the data's principal components but with an
13660 exact interpretation in terms of differential genetic expression, to identify
13661 differentially expressed genes while controlling the @dfn{false discovery
13662 rate} (FDR).")
13663 (license license:gpl3)))
13664
13665 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
13666 ;; it here.
13667 (define-public r-activedriverwgs
13668 (package
13669 (name "r-activedriverwgs")
13670 (version "1.2.0")
13671 (source
13672 (origin
13673 (method url-fetch)
13674 (uri (cran-uri "ActiveDriverWGS" version))
13675 (sha256
13676 (base32
13677 "0xnplgwxd197a4d422bsxg753q158i12ils16awd1cw30wafdxkk"))))
13678 (properties
13679 `((upstream-name . "ActiveDriverWGS")))
13680 (build-system r-build-system)
13681 (propagated-inputs
13682 (list r-biostrings
13683 r-bsgenome
13684 r-bsgenome-hsapiens-ucsc-hg19
13685 r-bsgenome-hsapiens-ucsc-hg38
13686 r-bsgenome-mmusculus-ucsc-mm9
13687 r-bsgenome-mmusculus-ucsc-mm10
13688 r-genomeinfodb
13689 r-genomicranges
13690 r-iranges
13691 r-s4vectors))
13692 (native-inputs
13693 (list r-knitr))
13694 (home-page "https://cran.r-project.org/web/packages/ActiveDriverWGS/")
13695 (synopsis "Driver discovery tool for cancer whole genomes")
13696 (description
13697 "This package provides a method for finding an enrichment of cancer
13698 simple somatic mutations (SNVs and Indels) in functional elements across the
13699 human genome. ActiveDriverWGS detects coding and noncoding driver elements
13700 using whole genome sequencing data.")
13701 (license license:gpl3)))
13702
13703 ;; This is a CRAN package, but it depends on Bioconductor packages, so we put
13704 ;; it here.
13705 (define-public r-activepathways
13706 (package
13707 (name "r-activepathways")
13708 (version "1.1.1")
13709 (source
13710 (origin
13711 (method url-fetch)
13712 (uri (cran-uri "ActivePathways" version))
13713 (sha256
13714 (base32
13715 "1crq164vyqhdq5y3q09k3m5zljqrhcd5ak0jrc0xqvzf0pasml2m"))))
13716 (properties
13717 `((upstream-name . "ActivePathways")))
13718 (build-system r-build-system)
13719 (propagated-inputs
13720 (list r-data-table r-ggplot2))
13721 (native-inputs
13722 (list r-knitr))
13723 (home-page "https://cran.r-project.org/web/packages/ActivePathways/")
13724 (synopsis "Multivariate pathway enrichment analysis")
13725 (description
13726 "This package represents an integrative method of analyzing multi omics
13727 data that conducts enrichment analysis of annotated gene sets. ActivePathways
13728 uses a statistical data fusion approach, rationalizes contributing evidence
13729 and highlights associated genes, improving systems-level understanding of
13730 cellular organization in health and disease.")
13731 (license license:gpl3)))
13732
13733 (define-public r-bgmix
13734 (package
13735 (name "r-bgmix")
13736 (version "1.56.0")
13737 (source
13738 (origin
13739 (method url-fetch)
13740 (uri (bioconductor-uri "BGmix" version))
13741 (sha256
13742 (base32
13743 "03f6nknp3n49yvg2d9qsmds676rva70pr4wjz0md228jczgjk0vj"))))
13744 (properties `((upstream-name . "BGmix")))
13745 (build-system r-build-system)
13746 (propagated-inputs
13747 (list r-kernsmooth))
13748 (home-page "https://bioconductor.org/packages/BGmix/")
13749 (synopsis "Bayesian models for differential gene expression")
13750 (description
13751 "This package provides fully Bayesian mixture models for differential
13752 gene expression.")
13753 (license license:gpl2)))
13754
13755 (define-public r-bgx
13756 (package
13757 (name "r-bgx")
13758 (version "1.62.0")
13759 (source
13760 (origin
13761 (method url-fetch)
13762 (uri (bioconductor-uri "bgx" version))
13763 (sha256
13764 (base32
13765 "0q2y4n6bcc9pvz5sgfkw1lrb00rrp7q29i1vh7srdfmfhgpyz6bk"))))
13766 (properties `((upstream-name . "bgx")))
13767 (build-system r-build-system)
13768 (arguments
13769 (list
13770 #:phases
13771 '(modify-phases %standard-phases
13772 (add-after 'unpack 'do-not-tune-cflags-for-reproducibility
13773 (lambda _
13774 (substitute* "configure.ac"
13775 (("AX_GCC_ARCHFLAG.*") ""))
13776 (delete-file "configure")
13777 (invoke "autoreconf" "-vif"))))))
13778 (inputs
13779 (list boost))
13780 (propagated-inputs
13781 (list r-affy r-biobase r-gcrma r-rcpp))
13782 (native-inputs
13783 (list autoconf automake))
13784 (home-page "https://bioconductor.org/packages/bgx/")
13785 (synopsis "Bayesian gene expression")
13786 (description
13787 "This package provides tools for Bayesian integrated analysis of
13788 Affymetrix GeneChips.")
13789 (license license:gpl2)))
13790
13791 (define-public r-bhc
13792 (package
13793 (name "r-bhc")
13794 (version "1.48.0")
13795 (source
13796 (origin
13797 (method url-fetch)
13798 (uri (bioconductor-uri "BHC" version))
13799 (sha256
13800 (base32
13801 "1kqajd16981y5yaak2imaq1i7pilgqdr3nbhggsakh787j1d9rc5"))))
13802 (properties `((upstream-name . "BHC")))
13803 (build-system r-build-system)
13804 (home-page "https://bioconductor.org/packages/BHC/")
13805 (synopsis "Bayesian hierarchical clustering")
13806 (description
13807 "The method implemented in this package performs bottom-up hierarchical
13808 clustering, using a Dirichlet Process (infinite mixture) to model uncertainty
13809 in the data and Bayesian model selection to decide at each step which clusters
13810 to merge. This avoids several limitations of traditional methods, for example
13811 how many clusters there should be and how to choose a principled distance
13812 metric. This implementation accepts multinomial (i.e. discrete, with 2+
13813 categories) or time-series data. This version also includes a randomised
13814 algorithm which is more efficient for larger data sets.")
13815 (license license:gpl3)))
13816
13817 (define-public r-bicare
13818 (package
13819 (name "r-bicare")
13820 (version "1.54.0")
13821 (source
13822 (origin
13823 (method url-fetch)
13824 (uri (bioconductor-uri "BicARE" version))
13825 (sha256
13826 (base32
13827 "0qjh5bsjcjry6k1vzdaascwy2shjrkc2bw0w57w0qa458cbi89z2"))))
13828 (properties `((upstream-name . "BicARE")))
13829 (build-system r-build-system)
13830 (propagated-inputs
13831 (list r-biobase r-gseabase r-multtest))
13832 (home-page "http://bioinfo.curie.fr")
13833 (synopsis "Biclustering analysis and results exploration")
13834 (description
13835 "This is a package for biclustering analysis and exploration of
13836 results.")
13837 (license license:gpl2)))
13838
13839 (define-public r-bifet
13840 (package
13841 (name "r-bifet")
13842 (version "1.16.0")
13843 (source
13844 (origin
13845 (method url-fetch)
13846 (uri (bioconductor-uri "BiFET" version))
13847 (sha256
13848 (base32
13849 "03ypbbn8i0f4bl4m6wfdcv702jydniak56wqjb1vlrckd9aphwzq"))))
13850 (properties `((upstream-name . "BiFET")))
13851 (build-system r-build-system)
13852 (propagated-inputs
13853 (list r-genomicranges r-poibin))
13854 (native-inputs
13855 (list r-knitr))
13856 (home-page "https://bioconductor.org/packages/BiFET")
13857 (synopsis "Bias-free footprint enrichment test")
13858 (description
13859 "BiFET identifies @dfn{transcription factors} (TFs) whose footprints are
13860 over-represented in target regions compared to background regions after
13861 correcting for the bias arising from the imbalance in read counts and GC
13862 contents between the target and background regions. For a given TF k, BiFET
13863 tests the null hypothesis that the target regions have the same probability of
13864 having footprints for the TF k as the background regions while correcting for
13865 the read count and GC content bias.")
13866 (license license:gpl3)))
13867
13868 (define-public r-rsbml
13869 (package
13870 (name "r-rsbml")
13871 (version "2.54.0")
13872 (source
13873 (origin
13874 (method url-fetch)
13875 (uri (bioconductor-uri "rsbml" version))
13876 (sha256
13877 (base32
13878 "1v11pspkml6xdsacgwxw8r4qdhbnn2h2sqgpm9aidaq9p2085b0v"))))
13879 (properties `((upstream-name . "rsbml")))
13880 (build-system r-build-system)
13881 (inputs
13882 (list libsbml))
13883 (propagated-inputs
13884 (list r-biocgenerics r-graph))
13885 (native-inputs
13886 (list pkg-config))
13887 (home-page "http://www.sbml.org")
13888 (synopsis "R support for SBML")
13889 (description
13890 "This package provides an R interface to libsbml for SBML parsing,
13891 validating output, provides an S4 SBML DOM, converts SBML to R graph objects.")
13892 (license license:artistic2.0)))
13893
13894 (define-public r-hypergraph
13895 (package
13896 (name "r-hypergraph")
13897 (version "1.68.0")
13898 (source
13899 (origin
13900 (method url-fetch)
13901 (uri (bioconductor-uri "hypergraph" version))
13902 (sha256
13903 (base32
13904 "0xmryqj5yw1ns6wbhjqbb6h14jlj89zrznzvqnvd4n03ci20kzzp"))))
13905 (properties `((upstream-name . "hypergraph")))
13906 (build-system r-build-system)
13907 (propagated-inputs
13908 (list r-graph))
13909 (home-page "https://bioconductor.org/packages/hypergraph")
13910 (synopsis "Hypergraph data structures")
13911 (description
13912 "This package implements some simple capabilities for representing and
13913 manipulating hypergraphs.")
13914 (license license:artistic2.0)))
13915
13916 (define-public r-hyperdraw
13917 (package
13918 (name "r-hyperdraw")
13919 (version "1.48.0")
13920 (source
13921 (origin
13922 (method url-fetch)
13923 (uri (bioconductor-uri "hyperdraw" version))
13924 (sha256
13925 (base32
13926 "0ndw4y6b15jy4w86vfkahmdc81d3ycjsvqy1mxi55dwvd8xq0ap6"))))
13927 (properties `((upstream-name . "hyperdraw")))
13928 (build-system r-build-system)
13929 (inputs (list graphviz))
13930 (propagated-inputs
13931 (list r-graph r-hypergraph r-rgraphviz))
13932 (home-page "https://bioconductor.org/packages/hyperdraw")
13933 (synopsis "Visualizing hypergraphs")
13934 (description
13935 "This package provides functions for visualizing hypergraphs.")
13936 (license license:gpl2+)))
13937
13938 (define-public r-biggr
13939 (package
13940 (name "r-biggr")
13941 (version "1.32.0")
13942 (source
13943 (origin
13944 (method url-fetch)
13945 (uri (bioconductor-uri "BiGGR" version))
13946 (sha256
13947 (base32
13948 "0n57bgl6xz5b1gpw4isimq2pqxmlabn7jzhbjg2fbxcklabdvrcw"))))
13949 (properties `((upstream-name . "BiGGR")))
13950 (build-system r-build-system)
13951 (propagated-inputs
13952 (list r-hyperdraw
13953 r-hypergraph
13954 r-lim
13955 r-limsolve
13956 r-rsbml
13957 r-stringr))
13958 (home-page "https://bioconductor.org/packages/BiGGR/")
13959 (synopsis "Constraint based modeling using metabolic reconstruction databases")
13960 (description
13961 "This package provides an interface to simulate metabolic reconstruction
13962 from the @url{http://bigg.ucsd.edu/, BiGG database} and other metabolic
13963 reconstruction databases. The package facilitates @dfn{flux balance
13964 analysis} (FBA) and the sampling of feasible flux distributions. Metabolic
13965 networks and estimated fluxes can be visualized with hypergraphs.")
13966 (license license:gpl3+)))
13967
13968 (define-public r-bigmemoryextras
13969 (package
13970 (name "r-bigmemoryextras")
13971 (version "1.38.0")
13972 (source
13973 (origin
13974 (method url-fetch)
13975 (uri (bioconductor-uri "bigmemoryExtras" version))
13976 (sha256
13977 (base32
13978 "1k31h746j8r3f92vj62s38fw12qjkv5814ipcqfbswnxgaan17zj"))))
13979 (properties
13980 `((upstream-name . "bigmemoryExtras")))
13981 (build-system r-build-system)
13982 (propagated-inputs
13983 (list r-bigmemory))
13984 (native-inputs
13985 (list r-knitr))
13986 (home-page "https://github.com/phaverty/bigmemoryExtras")
13987 (synopsis "Extension of the bigmemory package")
13988 (description
13989 "This package defines a @code{BigMatrix} @code{ReferenceClass} which adds
13990 safety and convenience features to the @code{filebacked.big.matrix} class from
13991 the @code{bigmemory} package. @code{BigMatrix} protects against segfaults by
13992 monitoring and gracefully restoring the connection to on-disk data and it also
13993 protects against accidental data modification with a file-system-based
13994 permissions system. Utilities are provided for using @code{BigMatrix}-derived
13995 classes as @code{assayData} matrices within the @code{Biobase} package's
13996 @code{eSet} family of classes. @code{BigMatrix} provides some optimizations
13997 related to attaching to, and indexing into, file-backed matrices with
13998 dimnames. Additionally, the package provides a @code{BigMatrixFactor} class,
13999 a file-backed matrix with factor properties.")
14000 (license license:artistic2.0)))
14001
14002 (define-public r-bigpint
14003 (package
14004 (name "r-bigpint")
14005 (version "1.12.0")
14006 (source
14007 (origin
14008 (method url-fetch)
14009 (uri (bioconductor-uri "bigPint" version))
14010 (sha256
14011 (base32
14012 "1hp69j2qcidrxqs3dxjjngb09nbzp5x2yy4jz1rjmv6ghif9ccfj"))))
14013 (properties `((upstream-name . "bigPint")))
14014 (build-system r-build-system)
14015 (propagated-inputs
14016 (list r-delayedarray
14017 r-dplyr
14018 r-ggally
14019 r-ggplot2
14020 r-gridextra
14021 r-hexbin
14022 r-hmisc
14023 r-htmlwidgets
14024 r-plotly
14025 r-plyr
14026 r-rcolorbrewer
14027 r-reshape
14028 r-shiny
14029 r-shinycssloaders
14030 r-shinydashboard
14031 r-stringr
14032 r-summarizedexperiment
14033 r-tidyr))
14034 (native-inputs
14035 (list r-knitr))
14036 (home-page "https://github.com/lindsayrutter/bigPint")
14037 (synopsis "Big multivariate data plotted interactively")
14038 (description
14039 "This package provides methods for visualizing large multivariate
14040 datasets using static and interactive scatterplot matrices, parallel
14041 coordinate plots, volcano plots, and litre plots. It includes examples for
14042 visualizing RNA-sequencing datasets and differentially expressed genes.")
14043 (license license:gpl3)))
14044
14045 (define-public r-chemminer
14046 (package
14047 (name "r-chemminer")
14048 (version "3.48.0")
14049 (source
14050 (origin
14051 (method url-fetch)
14052 (uri (bioconductor-uri "ChemmineR" version))
14053 (sha256
14054 (base32
14055 "1nri4zkc9lp1mqgsi0h58486vixwiv2989b6pmx2aj5c3575i0ma"))))
14056 (properties `((upstream-name . "ChemmineR")))
14057 (build-system r-build-system)
14058 (propagated-inputs
14059 (list r-base64enc
14060 r-bh
14061 r-biocgenerics
14062 r-dbi
14063 r-digest
14064 r-dt
14065 r-ggplot2
14066 r-gridextra
14067 r-jsonlite
14068 r-png
14069 r-rcpp
14070 r-rcurl
14071 r-rjson
14072 r-rsvg
14073 r-stringi))
14074 (native-inputs
14075 (list r-knitr))
14076 (home-page "https://github.com/girke-lab/ChemmineR")
14077 (synopsis "Cheminformatics toolkit for R")
14078 (description
14079 "ChemmineR is a cheminformatics package for analyzing drug-like small
14080 molecule data in R. It contains functions for efficient processing of large
14081 numbers of molecules, physicochemical/structural property predictions,
14082 structural similarity searching, classification and clustering of compound
14083 libraries with a wide spectrum of algorithms. In addition, it offers
14084 visualization functions for compound clustering results and chemical
14085 structures.")
14086 (license license:artistic2.0)))
14087
14088 (define-public r-fmcsr
14089 (package
14090 (name "r-fmcsr")
14091 (version "1.38.0")
14092 (source
14093 (origin
14094 (method url-fetch)
14095 (uri (bioconductor-uri "fmcsR" version))
14096 (sha256
14097 (base32 "1mblmk21dxc9v2fikhvfg2njwgl190gkysppl6msxizwcmxsmh30"))))
14098 (properties `((upstream-name . "fmcsR")))
14099 (build-system r-build-system)
14100 (propagated-inputs
14101 (list r-biocgenerics r-chemminer r-runit))
14102 (native-inputs (list r-knitr))
14103 (home-page "https://github.com/girke-lab/fmcsR")
14104 (synopsis "Mismatch tolerant maximum common substructure searching")
14105 (description
14106 "The fmcsR package introduces an efficient @dfn{maximum common
14107 substructure} (MCS) algorithms combined with a novel matching strategy that
14108 allows for atom and/or bond mismatches in the substructures shared among two
14109 small molecules. The resulting flexible MCSs (FMCSs) are often larger than
14110 strict MCSs, resulting in the identification of more common features in their
14111 source structures, as well as a higher sensitivity in finding compounds with
14112 weak structural similarities. The fmcsR package provides several utilities to
14113 use the FMCS algorithm for pairwise compound comparisons, structure similarity
14114 searching and clustering.")
14115 (license license:artistic2.0)))
14116
14117 (define-public r-bioassayr
14118 (package
14119 (name "r-bioassayr")
14120 (version "1.34.0")
14121 (source
14122 (origin
14123 (method url-fetch)
14124 (uri (bioconductor-uri "bioassayR" version))
14125 (sha256
14126 (base32
14127 "0zbrci0vgk4qca28i0qb2izhyrz3r95l1w54h9h3zj9f3vd61wrz"))))
14128 (properties `((upstream-name . "bioassayR")))
14129 (build-system r-build-system)
14130 (propagated-inputs
14131 (list r-biocgenerics
14132 r-chemminer
14133 r-dbi
14134 r-matrix
14135 r-rjson
14136 r-rsqlite
14137 r-xml))
14138 (native-inputs
14139 (list r-knitr))
14140 (home-page "https://github.com/girke-lab/bioassayR")
14141 (synopsis "Cross-target analysis of small molecule bioactivity")
14142 (description
14143 "bioassayR is a computational tool that enables simultaneous analysis of
14144 thousands of bioassay experiments performed over a diverse set of compounds
14145 and biological targets. Unique features include support for large-scale
14146 cross-target analyses of both public and custom bioassays, generation of
14147 @dfn{high throughput screening fingerprints} (HTSFPs), and an optional
14148 preloaded database that provides access to a substantial portion of publicly
14149 available bioactivity data.")
14150 (license license:artistic2.0)))
14151
14152 (define-public r-biobroom
14153 (package
14154 (name "r-biobroom")
14155 (version "1.28.0")
14156 (source
14157 (origin
14158 (method url-fetch)
14159 (uri (bioconductor-uri "biobroom" version))
14160 (sha256
14161 (base32
14162 "04x1z9nchm4mbhqr31011zdprc4md156j4zf003s7xx0n278xsgh"))))
14163 (properties `((upstream-name . "biobroom")))
14164 (build-system r-build-system)
14165 (propagated-inputs
14166 (list r-biobase r-broom r-dplyr r-tidyr))
14167 (native-inputs
14168 (list r-knitr))
14169 (home-page "https://github.com/StoreyLab/biobroom")
14170 (synopsis "Turn Bioconductor objects into tidy data frames")
14171 (description
14172 "This package contains methods for converting standard objects
14173 constructed by bioinformatics packages, especially those in Bioconductor, and
14174 converting them to @code{tidy} data. It thus serves as a complement to the
14175 @code{broom} package, and follows the same tidy, augment, glance division of
14176 tidying methods. Tidying data makes it easy to recombine, reshape and
14177 visualize bioinformatics analyses.")
14178 ;; Any version of the LGPL.
14179 (license license:lgpl3+)))
14180
14181 (define-public r-graphite
14182 (package
14183 (name "r-graphite")
14184 (version "1.42.0")
14185 (source
14186 (origin
14187 (method url-fetch)
14188 (uri (bioconductor-uri "graphite" version))
14189 (sha256
14190 (base32
14191 "0nl5mkgrvf7vsqjy48ij9b1dmxfvp9lf8cpay55h93c4qz4x606g"))))
14192 (properties `((upstream-name . "graphite")))
14193 (build-system r-build-system)
14194 (propagated-inputs
14195 (list r-annotationdbi r-graph r-httr r-rappdirs r-rlang))
14196 (home-page "https://bioconductor.org/packages/graphite/")
14197 (synopsis "Networks from pathway databases")
14198 (description
14199 "Graphite provides networks derived from eight public pathway databases,
14200 and automates the conversion of node identifiers (e.g. from Entrez IDs to gene
14201 symbols).")
14202 (license license:agpl3+)))
14203
14204 (define-public r-reactomepa
14205 (package
14206 (name "r-reactomepa")
14207 (version "1.40.0")
14208 (source
14209 (origin
14210 (method url-fetch)
14211 (uri (bioconductor-uri "ReactomePA" version))
14212 (sha256
14213 (base32
14214 "1fd72m2afxbbvbgwy8knp6fiq1h561plmsh4r8a08w21ngmkz2s5"))))
14215 (properties `((upstream-name . "ReactomePA")))
14216 (build-system r-build-system)
14217 (propagated-inputs
14218 (list r-annotationdbi
14219 r-dose
14220 r-enrichplot
14221 r-ggplot2
14222 r-ggraph
14223 r-graphite
14224 r-igraph
14225 r-reactome-db))
14226 (native-inputs
14227 (list r-knitr))
14228 (home-page "https://guangchuangyu.github.io/software/ReactomePA")
14229 (synopsis "Reactome pathway analysis")
14230 (description
14231 "This package provides functions for pathway analysis based on the
14232 REACTOME pathway database. It implements enrichment analysis, gene set
14233 enrichment analysis and several functions for visualization.")
14234 (license license:gpl2)))
14235
14236 (define-public r-ebarrays
14237 (package
14238 (name "r-ebarrays")
14239 (version "2.60.0")
14240 (source
14241 (origin
14242 (method url-fetch)
14243 (uri (bioconductor-uri "EBarrays" version))
14244 (sha256
14245 (base32
14246 "027zarnpxpdnyl877swp5ypxj7zvq0cjp2q2xs6g6yn5dpqjvxxk"))))
14247 (properties `((upstream-name . "EBarrays")))
14248 (build-system r-build-system)
14249 (propagated-inputs
14250 (list r-biobase r-cluster r-lattice))
14251 (home-page "https://bioconductor.org/packages/EBarrays/")
14252 (synopsis "Gene clustering and differential expression identification")
14253 (description
14254 "EBarrays provides tools for the analysis of replicated/unreplicated
14255 microarray data.")
14256 (license license:gpl2+)))
14257
14258 (define-public r-bioccasestudies
14259 (package
14260 (name "r-bioccasestudies")
14261 (version "1.52.0")
14262 (source
14263 (origin
14264 (method url-fetch)
14265 (uri (bioconductor-uri "BiocCaseStudies" version))
14266 (sha256
14267 (base32
14268 "03n49b6fvyyzmvdy4yif3cl7yv21c09c8xdx4cvvax5zz4v4sab1"))))
14269 (properties
14270 `((upstream-name . "BiocCaseStudies")))
14271 (build-system r-build-system)
14272 (propagated-inputs (list r-biobase))
14273 (home-page "https://bioconductor.org/packages/BiocCaseStudies")
14274 (synopsis "Support for the case studies monograph")
14275 (description
14276 "This package provides software and data to support the case studies
14277 monograph.")
14278 (license license:artistic2.0)))
14279
14280 (define-public r-bioccheck
14281 (package
14282 (name "r-bioccheck")
14283 (version "1.32.1")
14284 (source (origin
14285 (method url-fetch)
14286 (uri (bioconductor-uri "BiocCheck" version))
14287 (sha256
14288 (base32
14289 "0bq4xrz1spp0bmbccxydkw6yw03by5dysz85mn152ab6xixm52lw"))))
14290 (properties
14291 `((upstream-name . "BiocCheck")))
14292 (build-system r-build-system)
14293 (propagated-inputs
14294 (list r-codetools
14295 r-graph
14296 r-httr
14297 r-knitr
14298 r-biocmanager
14299 r-biocviews
14300 r-stringdist))
14301 (native-inputs
14302 (list r-knitr))
14303 (home-page "https://bioconductor.org/packages/BiocCheck")
14304 (synopsis "Executes Bioconductor-specific package checks")
14305 (description "This package contains tools to perform additional quality
14306 checks on R packages that are to be submitted to the Bioconductor repository.")
14307 (license license:artistic2.0)))
14308
14309 (define-public r-biocgraph
14310 (package
14311 (name "r-biocgraph")
14312 (version "1.58.0")
14313 (source
14314 (origin
14315 (method url-fetch)
14316 (uri (bioconductor-uri "biocGraph" version))
14317 (sha256
14318 (base32
14319 "1y59a7c4ahhn1g2wz2hkx83izfn8i85mmxxp63jdd0rg7zwhr6nn"))))
14320 (properties `((upstream-name . "biocGraph")))
14321 (build-system r-build-system)
14322 (propagated-inputs
14323 (list r-biocgenerics r-geneplotter r-graph r-rgraphviz))
14324 (home-page "https://bioconductor.org/packages/biocGraph/")
14325 (synopsis "Graph examples and use cases in Bioinformatics")
14326 (description
14327 "This package provides examples and code that make use of the
14328 different graph related packages produced by Bioconductor.")
14329 (license license:artistic2.0)))
14330
14331 (define-public r-biocstyle
14332 (package
14333 (name "r-biocstyle")
14334 (version "2.24.0")
14335 (source (origin
14336 (method url-fetch)
14337 (uri (bioconductor-uri "BiocStyle" version))
14338 (sha256
14339 (base32
14340 "1nwiib201b9q1x19ihqjqr5jl0vnid8wfgpi8sa3y02bn722g5a5"))))
14341 (properties
14342 `((upstream-name . "BiocStyle")))
14343 (build-system r-build-system)
14344 (propagated-inputs
14345 (list r-biocmanager r-bookdown r-knitr r-rmarkdown r-yaml))
14346 (native-inputs
14347 (list r-knitr))
14348 (home-page "https://bioconductor.org/packages/BiocStyle")
14349 (synopsis "Bioconductor formatting styles")
14350 (description "This package provides standard formatting styles for
14351 Bioconductor PDF and HTML documents. Package vignettes illustrate use and
14352 functionality.")
14353 (license license:artistic2.0)))
14354
14355 (define-public r-biocviews
14356 (package
14357 (name "r-biocviews")
14358 (version "1.64.1")
14359 (source (origin
14360 (method url-fetch)
14361 (uri (bioconductor-uri "biocViews" version))
14362 (sha256
14363 (base32
14364 "0ixcx9qqpmwmnhml3klk5z075km8g2l4q0iqc1dbniga87qgyl38"))))
14365 (properties
14366 `((upstream-name . "biocViews")))
14367 (build-system r-build-system)
14368 (propagated-inputs
14369 (list r-biobase
14370 r-biocmanager
14371 r-graph
14372 r-rbgl
14373 r-rcurl
14374 r-xml
14375 r-runit))
14376 (home-page "https://bioconductor.org/packages/biocViews")
14377 (synopsis "Bioconductor package categorization helper")
14378 (description "The purpose of biocViews is to create HTML pages that
14379 categorize packages in a Bioconductor package repository according to keywords,
14380 also known as views, in a controlled vocabulary.")
14381 (license license:artistic2.0)))
14382
14383 (define-public r-experimenthub
14384 (package
14385 (name "r-experimenthub")
14386 (version "2.4.0")
14387 (source
14388 (origin
14389 (method url-fetch)
14390 (uri (bioconductor-uri "ExperimentHub" version))
14391 (sha256
14392 (base32
14393 "11hna8vrm1az1zk7pw2dv0wh84sd0hw2bi55w40hqvs36csb7lkl"))))
14394 (properties `((upstream-name . "ExperimentHub")))
14395 (build-system r-build-system)
14396 (propagated-inputs
14397 (list r-annotationhub
14398 r-biocfilecache
14399 r-biocgenerics
14400 r-biocmanager
14401 r-curl
14402 r-rappdirs
14403 r-s4vectors))
14404 (native-inputs
14405 (list r-knitr))
14406 (home-page "https://bioconductor.org/packages/ExperimentHub/")
14407 (synopsis "Client to access ExperimentHub resources")
14408 (description
14409 "This package provides a client for the Bioconductor ExperimentHub web
14410 resource. ExperimentHub provides a central location where curated data from
14411 experiments, publications or training courses can be accessed. Each resource
14412 has associated metadata, tags and date of modification. The client creates
14413 and manages a local cache of files retrieved enabling quick and reproducible
14414 access.")
14415 (license license:artistic2.0)))
14416
14417 (define-public r-grohmm
14418 (package
14419 (name "r-grohmm")
14420 (version "1.30.1")
14421 (source
14422 (origin
14423 (method url-fetch)
14424 (uri (bioconductor-uri "groHMM" version))
14425 (sha256
14426 (base32
14427 "0v2mk7xcy483w2nygpmyjp73kj3v5pkk1kf1wr41n33dxqlddqai"))))
14428 (properties `((upstream-name . "groHMM")))
14429 (build-system r-build-system)
14430 (propagated-inputs
14431 (list r-genomeinfodb
14432 r-genomicalignments
14433 r-genomicranges
14434 r-iranges
14435 r-mass
14436 r-rtracklayer
14437 r-s4vectors))
14438 (home-page "https://github.com/Kraus-Lab/groHMM")
14439 (synopsis "GRO-seq analysis pipeline")
14440 (description
14441 "This package provides a pipeline for the analysis of GRO-seq data.")
14442 (license license:gpl3+)))
14443
14444 (define-public r-multiassayexperiment
14445 (package
14446 (name "r-multiassayexperiment")
14447 (version "1.22.0")
14448 (source
14449 (origin
14450 (method url-fetch)
14451 (uri (bioconductor-uri "MultiAssayExperiment" version))
14452 (sha256
14453 (base32
14454 "1wnp52l9vifxn1wzqgndzp9b6ih0s1cflxx1fhw32k32d05cw9q1"))))
14455 (properties
14456 `((upstream-name . "MultiAssayExperiment")))
14457 (build-system r-build-system)
14458 (propagated-inputs
14459 (list r-biobase
14460 r-biocgenerics
14461 r-genomicranges
14462 r-iranges
14463 r-s4vectors
14464 r-summarizedexperiment
14465 r-tidyr))
14466 (native-inputs
14467 (list r-knitr))
14468 (home-page "https://waldronlab.io/MultiAssayExperiment/")
14469 (synopsis "Integration of multi-omics experiments in Bioconductor")
14470 (description
14471 "MultiAssayExperiment harmonizes data management of multiple assays
14472 performed on an overlapping set of specimens. It provides a familiar
14473 Bioconductor user experience by extending concepts from
14474 @code{SummarizedExperiment}, supporting an open-ended mix of standard data
14475 classes for individual assays, and allowing subsetting by genomic ranges or
14476 rownames.")
14477 (license license:artistic2.0)))
14478
14479 (define-public r-bioconcotk
14480 (package
14481 (name "r-bioconcotk")
14482 (version "1.16.0")
14483 (source
14484 (origin
14485 (method url-fetch)
14486 (uri (bioconductor-uri "BiocOncoTK" version))
14487 (sha256
14488 (base32
14489 "1alplszw84vqa1mvzp996f94s40scmh4qwbrqhg43hrnyvbnq7pi"))))
14490 (properties `((upstream-name . "BiocOncoTK")))
14491 (build-system r-build-system)
14492 (propagated-inputs
14493 (list r-bigrquery
14494 r-car
14495 r-complexheatmap
14496 r-curatedtcgadata
14497 r-dbi
14498 r-dplyr
14499 r-dt
14500 r-genomicfeatures
14501 r-genomicranges
14502 r-ggplot2
14503 r-ggpubr
14504 r-graph
14505 r-httr
14506 r-iranges
14507 r-magrittr
14508 r-plyr
14509 r-rgraphviz
14510 r-rjson
14511 r-s4vectors
14512 r-scales
14513 r-shiny
14514 r-summarizedexperiment))
14515 (native-inputs
14516 (list r-knitr))
14517 (home-page "https://bioconductor.org/packages/BiocOncoTK")
14518 (synopsis "Bioconductor components for general cancer genomics")
14519 (description
14520 "The purpose of this package is to provide a central interface to various
14521 tools for genome-scale analysis of cancer studies.")
14522 (license license:artistic2.0)))
14523
14524 (define-public r-biocor
14525 (package
14526 (name "r-biocor")
14527 (version "1.20.0")
14528 (source
14529 (origin
14530 (method url-fetch)
14531 (uri (bioconductor-uri "BioCor" version))
14532 (sha256
14533 (base32
14534 "004mksswampwisljcdz6fswwbgdjdii3y86gjzib0gf8v4w7w4q3"))))
14535 (properties `((upstream-name . "BioCor")))
14536 (build-system r-build-system)
14537 (propagated-inputs
14538 (list r-biocparallel r-gseabase r-matrix))
14539 (native-inputs
14540 (list r-knitr))
14541 (home-page "https://llrs.github.io/BioCor/")
14542 (synopsis "Functional similarities")
14543 (description
14544 "This package provides tools to calculate functional similarities based
14545 on the pathways described on KEGG and REACTOME or in gene sets. These
14546 similarities can be calculated for pathways or gene sets, genes, or clusters
14547 and combined with other similarities. They can be used to improve networks,
14548 gene selection, testing relationships, and so on.")
14549 (license license:expat)))
14550
14551 (define-public r-biocpkgtools
14552 (package
14553 (name "r-biocpkgtools")
14554 (version "1.14.1")
14555 (source
14556 (origin
14557 (method url-fetch)
14558 (uri (bioconductor-uri "BiocPkgTools" version))
14559 (sha256
14560 (base32
14561 "0akryshjdn227a8ir8r0lb59v060h58rhy5vjmdxax8p81ajzxkd"))))
14562 (properties `((upstream-name . "BiocPkgTools")))
14563 (build-system r-build-system)
14564 (propagated-inputs
14565 (list r-biocfilecache
14566 r-biocmanager
14567 r-biocviews
14568 r-dplyr
14569 r-dt
14570 r-gh
14571 r-graph
14572 r-htmltools
14573 r-htmlwidgets
14574 r-httr
14575 r-igraph
14576 r-jsonlite
14577 r-magrittr
14578 r-rbgl
14579 r-readr
14580 r-rlang
14581 r-rvest
14582 r-stringr
14583 r-tibble
14584 r-tidyr
14585 r-tidyselect
14586 r-xml2))
14587 (native-inputs
14588 (list r-knitr))
14589 (home-page "https://github.com/seandavi/BiocPkgTools")
14590 (synopsis "Collection of tools for learning about Bioconductor packages")
14591 (description
14592 "Bioconductor has a rich ecosystem of metadata around packages, usage,
14593 and build status. This package is a simple collection of functions to access
14594 that metadata from R. The goal is to expose metadata for data mining and
14595 value-added functionality such as package searching, text mining, and
14596 analytics on packages.")
14597 (license license:expat)))
14598
14599 (define-public r-biocset
14600 (package
14601 (name "r-biocset")
14602 (version "1.10.0")
14603 (source
14604 (origin
14605 (method url-fetch)
14606 (uri (bioconductor-uri "BiocSet" version))
14607 (sha256
14608 (base32
14609 "1ghba7020inrdxlbrrgds9gjymjxjma2p89b9lgkjin89zalqglh"))))
14610 (properties `((upstream-name . "BiocSet")))
14611 (build-system r-build-system)
14612 (propagated-inputs
14613 (list r-annotationdbi
14614 r-biocio
14615 r-dplyr
14616 r-keggrest
14617 r-ontologyindex
14618 r-plyr
14619 r-rlang
14620 r-s4vectors
14621 r-tibble
14622 r-tidyr))
14623 (native-inputs
14624 (list r-knitr))
14625 (home-page
14626 "https://bioconductor.org/packages/BiocSet")
14627 (synopsis
14628 "Representing Different Biological Sets")
14629 (description
14630 "BiocSet displays different biological sets in a triple tibble format.
14631 These three tibbles are @code{element}, @code{set}, and @code{elementset}.
14632 The user has the ability to activate one of these three tibbles to perform
14633 common functions from the @code{dplyr} package. Mapping functionality and
14634 accessing web references for elements/sets are also available in BiocSet.")
14635 (license license:artistic2.0)))
14636
14637 (define-public r-biocworkflowtools
14638 (package
14639 (name "r-biocworkflowtools")
14640 (version "1.22.0")
14641 (source
14642 (origin
14643 (method url-fetch)
14644 (uri (bioconductor-uri "BiocWorkflowTools" version))
14645 (sha256
14646 (base32
14647 "1jj4icpkhrv9f6yx3vghkpdil1pfghf3yvc9756wmndvhs100r5l"))))
14648 (properties
14649 `((upstream-name . "BiocWorkflowTools")))
14650 (build-system r-build-system)
14651 (propagated-inputs
14652 (list r-biocstyle
14653 r-bookdown
14654 r-git2r
14655 r-httr
14656 r-knitr
14657 r-rmarkdown
14658 r-rstudioapi
14659 r-stringr
14660 r-usethis))
14661 (native-inputs
14662 (list r-knitr))
14663 (home-page "https://bioconductor.org/packages/BiocWorkflowTools/")
14664 (synopsis "Tools to aid the development of Bioconductor Workflow packages")
14665 (description
14666 "This package provides functions to ease the transition between
14667 Rmarkdown and LaTeX documents when authoring a Bioconductor Workflow.")
14668 (license license:expat)))
14669
14670 (define-public r-biodist
14671 (package
14672 (name "r-biodist")
14673 (version "1.68.0")
14674 (source
14675 (origin
14676 (method url-fetch)
14677 (uri (bioconductor-uri "bioDist" version))
14678 (sha256
14679 (base32
14680 "04nrvrcvpj0sn8p2i8n3ggsl2s7r4na576174i7bn1sj21vr0yb0"))))
14681 (properties `((upstream-name . "bioDist")))
14682 (build-system r-build-system)
14683 (propagated-inputs
14684 (list r-biobase r-kernsmooth))
14685 (home-page "https://bioconductor.org/packages/bioDist/")
14686 (synopsis "Different distance measures")
14687 (description
14688 "This package provides a collection of software tools for calculating
14689 distance measures.")
14690 (license license:artistic2.0)))
14691
14692 (define-public r-pcatools
14693 (package
14694 (name "r-pcatools")
14695 (version "2.8.0")
14696 (source
14697 (origin
14698 (method url-fetch)
14699 (uri (bioconductor-uri "PCAtools" version))
14700 (sha256
14701 (base32
14702 "03s4dh008fys2rrcpzanc0892p63f6jyyvzc9m42jbi1dlkyx26v"))))
14703 (properties `((upstream-name . "PCAtools")))
14704 (build-system r-build-system)
14705 (propagated-inputs
14706 (list r-beachmat
14707 r-bh
14708 r-biocparallel
14709 r-biocsingular
14710 r-cowplot
14711 r-delayedarray
14712 r-delayedmatrixstats
14713 r-dqrng
14714 r-ggplot2
14715 r-ggrepel
14716 r-lattice
14717 r-matrix
14718 r-rcpp
14719 r-reshape2))
14720 (native-inputs (list r-knitr))
14721 (home-page "https://github.com/kevinblighe/PCAtools")
14722 (synopsis "PCAtools: everything Principal Components Analysis")
14723 (description
14724 "@dfn{Principal Component Analysis} (PCA) extracts the fundamental
14725 structure of the data without the need to build any model to represent it.
14726 This \"summary\" of the data is arrived at through a process of reduction that
14727 can transform the large number of variables into a lesser number that are
14728 uncorrelated (i.e. the 'principal components'), while at the same time being
14729 capable of easy interpretation on the original data. PCAtools provides
14730 functions for data exploration via PCA, and allows the user to generate
14731 publication-ready figures. PCA is performed via @code{BiocSingular}; users
14732 can also identify an optimal number of principal components via different
14733 metrics, such as the elbow method and Horn's parallel analysis, which has
14734 relevance for data reduction in single-cell RNA-seq (scRNA-seq) and high
14735 dimensional mass cytometry data.")
14736 (license license:gpl3)))
14737
14738 (define-public r-rgreat
14739 (package
14740 (name "r-rgreat")
14741 (version "1.28.0")
14742 (source
14743 (origin
14744 (method url-fetch)
14745 (uri (bioconductor-uri "rGREAT" version))
14746 (sha256
14747 (base32
14748 "0px72r8mjimf5mxfwb9qz46kqpgjw5gaqq41hy0212ymjd8whaky"))))
14749 (properties `((upstream-name . "rGREAT")))
14750 (build-system r-build-system)
14751 (propagated-inputs
14752 (list r-genomicranges r-getoptlong r-iranges r-rcurl r-rjson))
14753 (native-inputs (list r-knitr))
14754 (home-page "https://github.com/jokergoo/rGREAT")
14755 (synopsis "Client for GREAT analysis")
14756 (description
14757 "This package makes GREAT (Genomic Regions Enrichment of Annotations
14758 Tool) analysis automatic by constructing a HTTP POST request according to
14759 user's input and automatically retrieving results from GREAT web server.")
14760 (license license:expat)))
14761
14762 (define-public r-m3c
14763 (package
14764 (name "r-m3c")
14765 (version "1.18.0")
14766 (source
14767 (origin
14768 (method url-fetch)
14769 (uri (bioconductor-uri "M3C" version))
14770 (sha256
14771 (base32
14772 "120gd7gkgc98d1l6hl2ij799b3jksdnga5iyb44ps9mbc79hl012"))))
14773 (properties `((upstream-name . "M3C")))
14774 (build-system r-build-system)
14775 (propagated-inputs
14776 (list r-cluster
14777 r-corpcor
14778 r-doparallel
14779 r-dosnow
14780 r-foreach
14781 r-ggplot2
14782 r-matrix
14783 r-matrixcalc
14784 r-rtsne
14785 r-umap))
14786 (native-inputs (list r-knitr))
14787 (home-page "https://bioconductor.org/packages/M3C")
14788 (synopsis "Monte Carlo reference-based consensus clustering")
14789 (description
14790 "M3C is a consensus clustering algorithm that uses a Monte Carlo
14791 simulation to eliminate overestimation of @code{K} and can reject the null
14792 hypothesis @code{K=1}.")
14793 (license license:agpl3+)))
14794
14795 (define-public r-icens
14796 (package
14797 (name "r-icens")
14798 (version "1.68.0")
14799 (source
14800 (origin
14801 (method url-fetch)
14802 (uri (bioconductor-uri "Icens" version))
14803 (sha256
14804 (base32
14805 "0jnbfv7js8bw0ginql90krrpk0p54whj9igw0zk3jc45jqvj2vyc"))))
14806 (properties `((upstream-name . "Icens")))
14807 (build-system r-build-system)
14808 (propagated-inputs
14809 (list r-survival))
14810 (home-page "https://bioconductor.org/packages/Icens")
14811 (synopsis "NPMLE for censored and truncated data")
14812 (description
14813 "This package provides many functions for computing the
14814 @dfn{nonparametric maximum likelihood estimator} (NPMLE) for censored and
14815 truncated data.")
14816 (license license:artistic2.0)))
14817
14818 ;; This is a CRAN package but it depends on r-icens, which is published on
14819 ;; Bioconductor.
14820 (define-public r-interval
14821 (package
14822 (name "r-interval")
14823 (version "1.1-0.8")
14824 (source
14825 (origin
14826 (method url-fetch)
14827 (uri (cran-uri "interval" version))
14828 (sha256
14829 (base32
14830 "0g0k9nri19p3y3s70ic1w3i3sxq8fbsxaikd7c4d6afqzr8hk2nl"))))
14831 (properties `((upstream-name . "interval")))
14832 (build-system r-build-system)
14833 (propagated-inputs
14834 (list r-icens r-mlecens r-perm r-survival))
14835 (home-page "https://cran.r-project.org/web/packages/interval/")
14836 (synopsis "Weighted Logrank tests and NPMLE for interval censored data")
14837 (description
14838 "This package provides functions to fit nonparametric survival curves,
14839 plot them, and perform logrank or Wilcoxon type tests.")
14840 (license license:gpl2+)))
14841
14842 ;; This is a CRAN package, but it depends on r-interval, which depends on a
14843 ;; Bioconductor package.
14844 (define-public r-fhtest
14845 (package
14846 (name "r-fhtest")
14847 (version "1.5")
14848 (source
14849 (origin
14850 (method url-fetch)
14851 (uri (cran-uri "FHtest" version))
14852 (sha256
14853 (base32
14854 "00mql2r4f5hxhdqf27q3x9s5rz2zzakx2myym97b1w1s7c5znl4q"))))
14855 (properties `((upstream-name . "FHtest")))
14856 (build-system r-build-system)
14857 (propagated-inputs
14858 (list r-interval r-kmsurv r-mass r-perm r-survival))
14859 (home-page "https://cran.r-project.org/web/packages/FHtest/")
14860 (synopsis "Tests for survival data based on the Fleming-Harrington class")
14861 (description
14862 "This package provides functions to compare two or more survival curves
14863 with:
14864
14865 @itemize
14866 @item The Fleming-Harrington test for right-censored data based on
14867 permutations and on counting processes.
14868 @item An extension of the Fleming-Harrington test for interval-censored data
14869 based on a permutation distribution and on a score vector distribution.
14870 @end itemize
14871 ")
14872 (license license:gpl2+)))
14873
14874 (define-public r-fourcseq
14875 (package
14876 (name "r-fourcseq")
14877 (version "1.24.0")
14878 (source
14879 (origin
14880 (method url-fetch)
14881 (uri (bioconductor-uri "FourCSeq" version))
14882 (sha256
14883 (base32 "1rwdphcj26xis47n8j1fiyc3k3qbsgn0bhf5bhgy5vm11yqyvicb"))))
14884 (properties `((upstream-name . "FourCSeq")))
14885 (build-system r-build-system)
14886 (propagated-inputs
14887 (list r-biobase
14888 r-biostrings
14889 r-deseq2
14890 r-fda
14891 r-genomicalignments
14892 r-genomicranges
14893 r-ggbio
14894 r-ggplot2
14895 r-gtools
14896 r-lsd
14897 r-matrix
14898 r-reshape2
14899 r-rsamtools
14900 r-rtracklayer
14901 r-summarizedexperiment))
14902 (native-inputs
14903 (list r-knitr))
14904 (home-page
14905 "https://bioconductor.org/packages/release/bioc/html/FourCSeq.html")
14906 (synopsis "Analysis of multiplexed 4C sequencing data")
14907 (description
14908 "This package is an R package dedicated to the analysis of (multiplexed)
14909 4C sequencing data. @code{r-fourcseq} provides a pipeline to detect specific
14910 interactions between DNA elements and identify differential interactions
14911 between conditions. The statistical analysis in R starts with individual bam
14912 files for each sample as inputs. To obtain these files, the package contains
14913 a Python script to demultiplex libraries and trim off primer sequences. With
14914 a standard alignment software the required bam files can be then be
14915 generated.")
14916 (license license:gpl3+)))
14917
14918 (define-public r-preprocesscore
14919 (package
14920 (name "r-preprocesscore")
14921 (version "1.58.0")
14922 (source
14923 (origin
14924 (method url-fetch)
14925 (uri (bioconductor-uri "preprocessCore" version))
14926 (sha256
14927 (base32
14928 "1sqpp00hhv6gypflrjw8qpqyqgdcp29m86gmi1di1574x8casdkf"))))
14929 (properties
14930 `((upstream-name . "preprocessCore")))
14931 (build-system r-build-system)
14932 (home-page "https://github.com/bmbolstad/preprocessCore")
14933 (synopsis "Collection of pre-processing functions")
14934 (description
14935 "This package provides a library of core pre-processing and normalization
14936 routines.")
14937 (license license:lgpl2.0+)))
14938
14939 (define-public r-s4vectors
14940 (package
14941 (name "r-s4vectors")
14942 (version "0.34.0")
14943 (source (origin
14944 (method url-fetch)
14945 (uri (bioconductor-uri "S4Vectors" version))
14946 (sha256
14947 (base32
14948 "0j3ybhzdhlhw8527nks3mjja28asjya2n0m0rjkh4bw66rkfys4k"))))
14949 (properties
14950 `((upstream-name . "S4Vectors")))
14951 (build-system r-build-system)
14952 (propagated-inputs
14953 (list r-biocgenerics))
14954 (home-page "https://bioconductor.org/packages/S4Vectors")
14955 (synopsis "S4 implementation of vectors and lists")
14956 (description
14957 "The S4Vectors package defines the @code{Vector} and @code{List} virtual
14958 classes and a set of generic functions that extend the semantic of ordinary
14959 vectors and lists in R. Package developers can easily implement vector-like
14960 or list-like objects as concrete subclasses of @code{Vector} or @code{List}.
14961 In addition, a few low-level concrete subclasses of general interest (e.g.
14962 @code{DataFrame}, @code{Rle}, and @code{Hits}) are implemented in the
14963 S4Vectors package itself.")
14964 (license license:artistic2.0)))
14965
14966 ;; This is a CRAN package, but it depends on preprocessorcore, which is a
14967 ;; Bioconductor package.
14968 (define-public r-wgcna
14969 (package
14970 (name "r-wgcna")
14971 (version "1.71")
14972 (source
14973 (origin
14974 (method url-fetch)
14975 (uri (cran-uri "WGCNA" version))
14976 (sha256
14977 (base32
14978 "027pkc4pyn9bifqbjs05318gvlm06mffw016j50n59wfi2g39x91"))))
14979 (properties `((upstream-name . "WGCNA")))
14980 (build-system r-build-system)
14981 (propagated-inputs
14982 (list r-annotationdbi
14983 r-doparallel
14984 r-dynamictreecut
14985 r-fastcluster
14986 r-foreach
14987 r-go-db
14988 r-hmisc
14989 r-impute
14990 r-rcpp
14991 r-survival
14992 r-matrixstats
14993 r-preprocesscore))
14994 (home-page
14995 "http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
14996 (synopsis "Weighted correlation network analysis")
14997 (description
14998 "This package provides functions necessary to perform Weighted
14999 Correlation Network Analysis on high-dimensional data. It includes functions
15000 for rudimentary data cleaning, construction and summarization of correlation
15001 networks, module identification and functions for relating both variables and
15002 modules to sample traits. It also includes a number of utility functions for
15003 data manipulation and visualization.")
15004 (license license:gpl2+)))
15005
15006 (define-public r-rgraphviz
15007 (package
15008 (name "r-rgraphviz")
15009 (version "2.40.0")
15010 (source
15011 (origin
15012 (method url-fetch)
15013 (uri (bioconductor-uri "Rgraphviz" version))
15014 (sha256
15015 (base32
15016 "1r6ff7w2bmyfl1vzjvpgnhb8f5arwjlpab8fw5ph8fgyiqbcx94l"))))
15017 (properties `((upstream-name . "Rgraphviz")))
15018 (build-system r-build-system)
15019 (arguments
15020 `(#:phases
15021 (modify-phases %standard-phases
15022 (add-after 'unpack 'make-reproducible
15023 (lambda _
15024 ;; The replacement value is taken from src/graphviz/builddate.h
15025 (substitute* "src/graphviz/configure"
15026 (("VERSION_DATE=.*")
15027 "VERSION_DATE=20200427.2341\n"))
15028 #t)))))
15029 ;; FIXME: Rgraphviz bundles the sources of an older variant of
15030 ;; graphviz. It does not build with the latest version of graphviz, so
15031 ;; we do not add graphviz to the inputs.
15032 (inputs (list zlib))
15033 (propagated-inputs
15034 (list r-graph))
15035 (native-inputs
15036 (list pkg-config))
15037 (home-page "https://bioconductor.org/packages/Rgraphviz")
15038 (synopsis "Plotting capabilities for R graph objects")
15039 (description
15040 "This package interfaces R with the graphviz library for plotting R graph
15041 objects from the @code{graph} package.")
15042 (license license:epl1.0)))
15043
15044 (define-public r-fishpond
15045 (package
15046 (name "r-fishpond")
15047 (version "2.2.0")
15048 (source (origin
15049 (method url-fetch)
15050 (uri (bioconductor-uri "fishpond" version))
15051 (sha256
15052 (base32
15053 "0svp4yh0srhzbbxy1grchzdd9yzchadjp3d2sy2n9xpwxzpkhrym"))))
15054 (properties `((upstream-name . "fishpond")))
15055 (build-system r-build-system)
15056 (inputs (list zlib))
15057 (propagated-inputs
15058 (list r-abind
15059 r-genomicranges
15060 r-gtools
15061 r-iranges
15062 r-jsonlite
15063 r-matrix
15064 r-matrixstats
15065 r-qvalue
15066 r-rcpp
15067 r-s4vectors
15068 r-singlecellexperiment
15069 r-summarizedexperiment
15070 r-svmisc))
15071 (native-inputs (list r-knitr))
15072 (home-page "https://github.com/mikelove/fishpond")
15073 (synopsis "Downstream methods and tools for expression data")
15074 (description
15075 "The @code{fishpond} package contains methods for differential transcript
15076 and gene expression analysis of RNA-seq data using inferential replicates for
15077 uncertainty of abundance quantification, as generated by Gibbs sampling or
15078 bootstrap sampling. Also the package contains a number of utilities for
15079 working with Salmon and Alevin quantification files.")
15080 (license license:gpl2)))
15081
15082 (define-public r-fithic
15083 (package
15084 (name "r-fithic")
15085 (version "1.22.0")
15086 (source (origin
15087 (method url-fetch)
15088 (uri (bioconductor-uri "FitHiC" version))
15089 (sha256
15090 (base32
15091 "0iv14yx3g7shzl8qrjknyxbmiylj51sbd1wzr1ff9lc5shgl55kq"))))
15092 (properties `((upstream-name . "FitHiC")))
15093 (build-system r-build-system)
15094 (propagated-inputs
15095 (list r-data-table r-fdrtool r-rcpp))
15096 (native-inputs
15097 (list r-knitr))
15098 (home-page "https://bioconductor.org/packages/FitHiC")
15099 (synopsis "Confidence estimation for intra-chromosomal contact maps")
15100 (description
15101 "Fit-Hi-C is a tool for assigning statistical confidence estimates to
15102 intra-chromosomal contact maps produced by genome-wide genome architecture
15103 assays such as Hi-C.")
15104 (license license:gpl2+)))
15105
15106 (define-public r-hitc
15107 (package
15108 (name "r-hitc")
15109 (version "1.40.0")
15110 (source (origin
15111 (method url-fetch)
15112 (uri (bioconductor-uri "HiTC" version))
15113 (sha256
15114 (base32
15115 "1pkshlrra26cad0hf8a54brlkazni6rsvrplh36azxapx5rpps4s"))))
15116 (properties `((upstream-name . "HiTC")))
15117 (build-system r-build-system)
15118 (propagated-inputs
15119 (list r-biostrings
15120 r-genomeinfodb
15121 r-genomicranges
15122 r-iranges
15123 r-matrix
15124 r-rcolorbrewer
15125 r-rtracklayer))
15126 (home-page "https://bioconductor.org/packages/HiTC")
15127 (synopsis "High throughput chromosome conformation capture analysis")
15128 (description
15129 "The HiTC package was developed to explore high-throughput \"C\" data
15130 such as 5C or Hi-C. Dedicated R classes as well as standard methods for
15131 quality controls, normalization, visualization, and further analysis are also
15132 provided.")
15133 (license license:artistic2.0)))
15134
15135 (define-public r-hdf5array
15136 (package
15137 (name "r-hdf5array")
15138 (version "1.24.2")
15139 (source
15140 (origin
15141 (method url-fetch)
15142 (uri (bioconductor-uri "HDF5Array" version))
15143 (sha256
15144 (base32
15145 "1dzx5463ig3ag72a47slc4jbq5id11w77cj0zgzr85h0dbxklrr9"))))
15146 (properties `((upstream-name . "HDF5Array")))
15147 (build-system r-build-system)
15148 (inputs
15149 (list zlib))
15150 (propagated-inputs
15151 (list r-biocgenerics
15152 r-delayedarray
15153 r-iranges
15154 r-matrix
15155 r-rhdf5
15156 r-rhdf5filters
15157 r-rhdf5lib
15158 r-s4vectors))
15159 (home-page "https://bioconductor.org/packages/HDF5Array")
15160 (synopsis "HDF5 back end for DelayedArray objects")
15161 (description "This package provides an array-like container for convenient
15162 access and manipulation of HDF5 datasets. It supports delayed operations and
15163 block processing.")
15164 (license license:artistic2.0)))
15165
15166 (define-public r-rhdf5lib
15167 (package
15168 (name "r-rhdf5lib")
15169 (version "1.18.2")
15170 (source
15171 (origin
15172 (method url-fetch)
15173 (uri (bioconductor-uri "Rhdf5lib" version))
15174 (sha256
15175 (base32
15176 "1jpb8h7c724yz51zjfqs90bsqxgmy1rry2ra9qamsgqpr2j9764g"))
15177 (modules '((guix build utils)))
15178 (snippet
15179 '(begin
15180 ;; Delete bundled binaries
15181 (delete-file-recursively "src/wininclude/")
15182 (delete-file-recursively "src/winlib/")
15183 (delete-file "src/hdf5small_cxx_hl_1.10.7.tar.gz")))))
15184 (properties `((upstream-name . "Rhdf5lib")))
15185 (build-system r-build-system)
15186 (arguments
15187 `(#:phases
15188 (modify-phases %standard-phases
15189 (add-after 'unpack 'do-not-use-bundled-hdf5
15190 (lambda* (#:key inputs #:allow-other-keys)
15191 (for-each delete-file '("configure" "configure.ac"))
15192 (substitute* "R/zzz.R"
15193 (("return\\(links\\)") "return(\" -lz\")"))
15194 (with-directory-excursion "src"
15195 (invoke "tar" "xvf" (assoc-ref inputs "hdf5-source"))
15196 (rename-file (string-append "hdf5-" ,(package-version hdf5-1.10))
15197 "hdf5")
15198 ;; Remove timestamp and host system information to make
15199 ;; the build reproducible.
15200 (substitute* "hdf5/src/libhdf5.settings.in"
15201 (("Configured on: @CONFIG_DATE@")
15202 "Configured on: Guix")
15203 (("Uname information:.*")
15204 "Uname information: Linux\n")
15205 ;; Remove unnecessary store reference.
15206 (("C Compiler:.*")
15207 "C Compiler: GCC\n"))
15208 (rename-file "hdf5/src/libhdf5.settings.in"
15209 "hdf5/src/libhdf5.settings")
15210 (rename-file "Makevars.in" "Makevars")
15211 (substitute* "Makevars"
15212 (("@BUILD_HDF5@") "")
15213 (("@COPY_SZIP@") "")
15214 (("@ZLIB_LIB@") "-lz")
15215 (("@ZLIB_INCLUDE@") "")
15216 (("HDF5_CXX_LIB=.*")
15217 (string-append "HDF5_CXX_LIB="
15218 (assoc-ref inputs "hdf5") "/lib/libhdf5_cpp.a\n"))
15219 (("HDF5_LIB=.*")
15220 (string-append "HDF5_LIB="
15221 (assoc-ref inputs "hdf5") "/lib/libhdf5.a\n"))
15222 (("HDF5_CXX_INCLUDE=.*") "HDF5_CXX_INCLUDE=./hdf5/c++/src\n")
15223 (("HDF5_INCLUDE=.*") "HDF5_INCLUDE=./hdf5/src\n")
15224 (("HDF5_HL_INCLUDE=.*") "HDF5_HL_INCLUDE=./hdf5/hl/src\n")
15225 (("HDF5_HL_CXX_INCLUDE=.*") "HDF5_HL_CXX_INCLUDE=./hdf5/hl/c++/src\n")
15226 (("HDF5_HL_LIB=.*")
15227 (string-append "HDF5_HL_LIB="
15228 (assoc-ref inputs "hdf5") "/lib/libhdf5_hl.a\n"))
15229 (("HDF5_HL_CXX_LIB=.*")
15230 (string-append "HDF5_HL_CXX_LIB="
15231 (assoc-ref inputs "hdf5") "/lib/libhdf5_hl_cpp.a\n"))
15232 ;; szip is non-free software
15233 (("cp \"\\$\\{SZIP_LIB\\}.*") "")
15234 (("PKG_LIBS =.*") "PKG_LIBS = -lz -lhdf5\n"))))))))
15235 (propagated-inputs
15236 (list hdf5-1.10 zlib))
15237 (native-inputs
15238 `(("hdf5-source" ,(package-source hdf5-1.10))
15239 ("r-knitr" ,r-knitr)))
15240 (home-page "https://bioconductor.org/packages/Rhdf5lib")
15241 (synopsis "HDF5 library as an R package")
15242 (description "This package provides C and C++ HDF5 libraries for use in R
15243 packages.")
15244 (license license:artistic2.0)))
15245
15246 (define-public r-beachmat
15247 (package
15248 (name "r-beachmat")
15249 (version "2.12.0")
15250 (source
15251 (origin
15252 (method url-fetch)
15253 (uri (bioconductor-uri "beachmat" version))
15254 (sha256
15255 (base32
15256 "0fc6vvjjq1mfjfj2zqkap3rwvinnfqjs0cpk1447sspvd1rjya8c"))))
15257 (build-system r-build-system)
15258 (propagated-inputs
15259 (list r-biocgenerics r-delayedarray r-matrix r-rcpp))
15260 (native-inputs
15261 (list r-knitr))
15262 (home-page "https://bioconductor.org/packages/beachmat")
15263 (synopsis "Compiling Bioconductor to handle each matrix type")
15264 (description "This package provides a consistent C++ class interface for a
15265 variety of commonly used matrix types, including sparse and HDF5-backed
15266 matrices.")
15267 (license license:gpl3)))
15268
15269 ;; This package includes files that have been taken from kentutils. Some
15270 ;; parts of kentutils are not released under a free license, but this package
15271 ;; only uses files that are also found in the free parts of kentutils.
15272 (define-public r-cner
15273 (package
15274 (name "r-cner")
15275 (version "1.32.0")
15276 (source
15277 (origin
15278 (method url-fetch)
15279 (uri (bioconductor-uri "CNEr" version))
15280 (sha256
15281 (base32 "05zvr5fv8nprxqh2wvvrlf737dq242i20p1rpyqjaxihl6xl62kq"))))
15282 (properties `((upstream-name . "CNEr")))
15283 (build-system r-build-system)
15284 (inputs (list zlib))
15285 (propagated-inputs
15286 (list r-annotate
15287 r-biocgenerics
15288 r-biostrings
15289 r-dbi
15290 r-genomeinfodb
15291 r-genomicalignments
15292 r-genomicranges
15293 r-ggplot2
15294 r-go-db
15295 r-iranges
15296 r-keggrest
15297 r-powerlaw
15298 r-r-utils
15299 r-readr
15300 r-reshape2
15301 r-rsqlite
15302 r-rtracklayer
15303 r-s4vectors
15304 r-xvector))
15305 (native-inputs
15306 (list r-knitr))
15307 (home-page "https://github.com/ge11232002/CNEr")
15308 (synopsis "CNE Detection and Visualization")
15309 (description
15310 "This package provides tools for large-scale identification and
15311 advanced visualization of sets of conserved noncoding elements.")
15312 ;; For all files in src/ucsc "license is hereby granted for all use -
15313 ;; public, private or commercial"; this includes those files that don't
15314 ;; have a license header, because they are included in the free parts of
15315 ;; the kentutils package.
15316 (license (list license:gpl2
15317 (license:non-copyleft
15318 "https://raw.githubusercontent.com/ucscGenomeBrowser/kent/v410_base/src/lib/LICENSE")))))
15319
15320 (define-public r-tfbstools
15321 (package
15322 (name "r-tfbstools")
15323 (version "1.34.0")
15324 (source
15325 (origin
15326 (method url-fetch)
15327 (uri (bioconductor-uri "TFBSTools" version))
15328 (sha256
15329 (base32
15330 "0l6j1r2cx7jfd39qzbyynk4jvzd81ys6yypzxjc97js4kkyrx29w"))))
15331 (properties `((upstream-name . "TFBSTools")))
15332 (build-system r-build-system)
15333 (propagated-inputs
15334 (list r-biobase
15335 r-biocgenerics
15336 r-biocparallel
15337 r-biostrings
15338 r-bsgenome
15339 r-catools
15340 r-cner
15341 r-dbi
15342 r-dirichletmultinomial
15343 r-genomeinfodb
15344 r-genomicranges
15345 r-gtools
15346 r-iranges
15347 r-rsqlite
15348 r-rtracklayer
15349 r-s4vectors
15350 r-seqlogo
15351 r-tfmpvalue
15352 r-xml
15353 r-xvector))
15354 (native-inputs (list r-knitr))
15355 (home-page "https://github.com/ge11232002/TFBSTools")
15356 (synopsis "Transcription factor binding site (TFBS) analysis")
15357 (description
15358 "TFBSTools is a package for the analysis and manipulation of
15359 transcription factor binding sites. It includes matrices conversion
15360 between @dfn{Position Frequency Matrix} (PFM), @dfn{Position Weight
15361 Matrix} (PWM) and @dfn{Information Content Matrix} (ICM). It can also
15362 scan putative TFBS from sequence/alignment, query JASPAR database and
15363 provides a wrapper of de novo motif discovery software.")
15364 (license license:gpl2)))
15365
15366 (define-public r-maftools
15367 (package
15368 (name "r-maftools")
15369 (version "2.12.0")
15370 (source
15371 (origin
15372 (method url-fetch)
15373 (uri (bioconductor-uri "maftools" version))
15374 (sha256
15375 (base32 "1gqfi95v4fs64n4walij0g2kds3fbbwp6lih5yakmgf6kj8fpkk6"))))
15376 (properties `((upstream-name . "maftools")))
15377 (build-system r-build-system)
15378 (propagated-inputs
15379 (list r-data-table
15380 r-dnacopy
15381 r-rcolorbrewer
15382 r-rhtslib
15383 r-survival
15384 r-zlibbioc))
15385 (native-inputs (list r-knitr))
15386 (home-page "https://github.com/PoisonAlien/maftools")
15387 (synopsis "Summarize, analyze and visualize MAF files")
15388 (description
15389 "Analyze and visualize Mutation Annotation Format (MAF) files from large
15390 scale sequencing studies. This package provides various functions to perform
15391 most commonly used analyses in cancer genomics and to create feature rich
15392 customizable visualzations with minimal effort.")
15393 (license license:expat)))
15394
15395 (define-public r-motifmatchr
15396 (package
15397 (name "r-motifmatchr")
15398 (version "1.18.0")
15399 (source
15400 (origin
15401 (method url-fetch)
15402 (uri (bioconductor-uri "motifmatchr" version))
15403 (sha256
15404 (base32
15405 "1ssn00mxwk23zr5na0vcmxvm69i68f0ga0wqlv1nk2isg0wpv878"))))
15406 (properties `((upstream-name . "motifmatchr")))
15407 (build-system r-build-system)
15408 (propagated-inputs
15409 (list r-biostrings
15410 r-bsgenome
15411 r-genomeinfodb
15412 r-genomicranges
15413 r-iranges
15414 r-matrix
15415 r-rcpp
15416 r-rcpparmadillo
15417 r-rsamtools
15418 r-s4vectors
15419 r-summarizedexperiment
15420 r-tfbstools))
15421 (native-inputs (list r-knitr))
15422 (home-page "https://bioconductor.org/packages/motifmatchr")
15423 (synopsis "Fast motif matching in R")
15424 (description
15425 "Quickly find motif matches for many motifs and many sequences.
15426 This package wraps C++ code from the MOODS motif calling library.")
15427 (license license:gpl3)))
15428
15429 (define-public r-chromvar
15430 (package
15431 (name "r-chromvar")
15432 (version "1.18.0")
15433 (source
15434 (origin
15435 (method url-fetch)
15436 (uri (bioconductor-uri "chromVAR" version))
15437 (sha256
15438 (base32 "0vhsvkm4kvln0002f13ayk57f9fmiz1kw9vwpsm1vds1vahd656m"))))
15439 (properties `((upstream-name . "chromVAR")))
15440 (build-system r-build-system)
15441 (propagated-inputs
15442 (list r-biocgenerics
15443 r-biocparallel
15444 r-biostrings
15445 r-bsgenome
15446 r-dt
15447 r-genomeinfodb
15448 r-genomicranges
15449 r-ggplot2
15450 r-iranges
15451 r-matrix
15452 r-miniui
15453 r-nabor
15454 r-plotly
15455 r-rcolorbrewer
15456 r-rcpp
15457 r-rcpparmadillo
15458 r-rsamtools
15459 r-rtsne
15460 r-s4vectors
15461 r-shiny
15462 r-summarizedexperiment
15463 r-tfbstools))
15464 (native-inputs (list r-knitr))
15465 (home-page "https://bioconductor.org/packages/release/bioc/html/chromVAR.html")
15466 (synopsis "Determine chromatin variation across regions")
15467 (description
15468 "This package @code{r-chromvar} determines variation in chromatin
15469 accessibility across sets of annotations or peaks. @code{r-chromvar} is
15470 designed primarily for single-cell or sparse chromatin accessibility data like
15471 single cell assay for transposase-accessible chromatin using
15472 sequencing (@code{scATAC-seq} or sparse bulk ATAC or deoxyribonuclease
15473 sequence (@code{DNAse-seq}) experiments.")
15474 (license license:expat)))
15475
15476 (define-public r-singlecellexperiment
15477 (package
15478 (name "r-singlecellexperiment")
15479 (version "1.18.0")
15480 (source
15481 (origin
15482 (method url-fetch)
15483 (uri (bioconductor-uri "SingleCellExperiment" version))
15484 (sha256
15485 (base32
15486 "0s1aqbvlfnzijzfywjfpinqmxqj269dq2d3zlgf4xw9c1nwwnv7p"))))
15487 (properties
15488 `((upstream-name . "SingleCellExperiment")))
15489 (build-system r-build-system)
15490 (propagated-inputs
15491 (list r-biocgenerics r-delayedarray r-genomicranges r-s4vectors
15492 r-summarizedexperiment))
15493 (native-inputs
15494 (list r-knitr))
15495 (home-page "https://bioconductor.org/packages/SingleCellExperiment")
15496 (synopsis "S4 classes for single cell data")
15497 (description "This package defines an S4 class for storing data from
15498 single-cell experiments. This includes specialized methods to store and
15499 retrieve spike-in information, dimensionality reduction coordinates and size
15500 factors for each cell, along with the usual metadata for genes and
15501 libraries.")
15502 (license license:gpl3)))
15503
15504 (define-public r-singler
15505 (package
15506 (name "r-singler")
15507 (version "1.10.0")
15508 (source
15509 (origin
15510 (method url-fetch)
15511 (uri (bioconductor-uri "SingleR" version))
15512 (sha256
15513 (base32 "0qbyc6ygw2xv3li9187i3axsw6ihwpa7pkvxvy9cagv7xck45c5y"))))
15514 (properties `((upstream-name . "SingleR")))
15515 (build-system r-build-system)
15516 (propagated-inputs
15517 (list r-beachmat
15518 r-biocneighbors
15519 r-biocparallel
15520 r-biocsingular
15521 r-delayedarray
15522 r-delayedmatrixstats
15523 r-matrix
15524 r-rcpp
15525 r-s4vectors
15526 r-summarizedexperiment))
15527 (native-inputs (list r-knitr))
15528 (home-page "https://github.com/LTLA/SingleR")
15529 (synopsis "Reference-based single-cell RNA-seq annotation")
15530 (description
15531 "This package performs unbiased cell type recognition from single-cell
15532 RNA sequencing data, by leveraging reference transcriptomic datasets of pure
15533 cell types to infer the cell of origin of each single cell independently.")
15534 (license license:gpl3)))
15535
15536 (define-public r-scuttle
15537 (package
15538 (name "r-scuttle")
15539 (version "1.6.3")
15540 (source
15541 (origin
15542 (method url-fetch)
15543 (uri (bioconductor-uri "scuttle" version))
15544 (sha256
15545 (base32
15546 "1w1jy5fqkp2d03lp84d49fsksnl0pcg0wgqyd49d5k1mipdw4671"))))
15547 (properties `((upstream-name . "scuttle")))
15548 (build-system r-build-system)
15549 (propagated-inputs
15550 (list r-beachmat
15551 r-biocgenerics
15552 r-biocparallel
15553 r-delayedarray
15554 r-delayedmatrixstats
15555 r-genomicranges
15556 r-matrix
15557 r-rcpp
15558 r-s4vectors
15559 r-singlecellexperiment
15560 r-summarizedexperiment))
15561 (native-inputs (list r-knitr))
15562 (home-page "https://bioconductor.org/packages/scuttle")
15563 (synopsis "Single-cell RNA-Seq analysis utilities")
15564 (description
15565 "This package provides basic utility functions for performing single-cell
15566 analyses, focusing on simple normalization, quality control and data
15567 transformations. It also provides some helper functions to assist development
15568 of other packages.")
15569 (license license:gpl3)))
15570
15571 (define-public r-scater
15572 (package
15573 (name "r-scater")
15574 (version "1.24.0")
15575 (source (origin
15576 (method url-fetch)
15577 (uri (bioconductor-uri "scater" version))
15578 (sha256
15579 (base32
15580 "0dqirggw7my5nq4ln9q0ya18ciqplkz9gx318ffias9ag3yii5rw"))))
15581 (build-system r-build-system)
15582 (propagated-inputs
15583 (list r-beachmat
15584 r-biocgenerics
15585 r-biocneighbors
15586 r-biocparallel
15587 r-biocsingular
15588 r-delayedarray
15589 r-delayedmatrixstats
15590 r-ggbeeswarm
15591 r-ggplot2
15592 r-ggrepel
15593 r-gridextra
15594 r-matrix
15595 r-rcolorbrewer
15596 r-rcppml
15597 r-rlang
15598 r-rtsne
15599 r-s4vectors
15600 r-scuttle
15601 r-singlecellexperiment
15602 r-summarizedexperiment
15603 r-viridis))
15604 (native-inputs
15605 (list r-knitr))
15606 (home-page "https://github.com/davismcc/scater")
15607 (synopsis "Single-cell analysis toolkit for gene expression data in R")
15608 (description "This package provides a collection of tools for doing
15609 various analyses of single-cell RNA-seq gene expression data, with a focus on
15610 quality control.")
15611 (license license:gpl2+)))
15612
15613 (define-public r-scran
15614 (package
15615 (name "r-scran")
15616 (version "1.24.1")
15617 (source
15618 (origin
15619 (method url-fetch)
15620 (uri (bioconductor-uri "scran" version))
15621 (sha256
15622 (base32
15623 "1a6vlq8i5gh7zxm6igmy75187pkx42z28qjag50m49xy5valw3ni"))))
15624 (build-system r-build-system)
15625 (propagated-inputs
15626 (list r-beachmat
15627 r-bh
15628 r-biocgenerics
15629 r-biocparallel
15630 r-biocsingular
15631 r-bluster
15632 r-delayedarray
15633 r-delayedmatrixstats
15634 r-dqrng
15635 r-edger
15636 r-igraph
15637 r-limma
15638 r-matrix
15639 r-metapod
15640 r-rcpp
15641 r-s4vectors
15642 r-scuttle
15643 r-singlecellexperiment
15644 r-statmod
15645 r-summarizedexperiment))
15646 (native-inputs
15647 (list r-knitr))
15648 (home-page "https://bioconductor.org/packages/scran")
15649 (synopsis "Methods for single-cell RNA-Seq data analysis")
15650 (description "This package implements a variety of low-level analyses of
15651 single-cell RNA-seq data. Methods are provided for normalization of
15652 cell-specific biases, assignment of cell cycle phase, and detection of highly
15653 variable and significantly correlated genes.")
15654 (license license:gpl3)))
15655
15656 (define-public r-sparsematrixstats
15657 (package
15658 (name "r-sparsematrixstats")
15659 (version "1.8.0")
15660 (source
15661 (origin
15662 (method url-fetch)
15663 (uri (bioconductor-uri "sparseMatrixStats" version))
15664 (sha256
15665 (base32
15666 "0p12kay7p5zbfm2589wdx0n9jhgpf5fb2fsmkhn3p4ck4xcy13x2"))))
15667 (properties
15668 `((upstream-name . "sparseMatrixStats")))
15669 (build-system r-build-system)
15670 (propagated-inputs
15671 (list r-matrix r-matrixgenerics r-matrixstats r-rcpp))
15672 (native-inputs (list r-knitr))
15673 (home-page "https://bioconductor.org/packages/sparseMatrixStats/")
15674 (synopsis "Summary statistics for rows and columns of sparse matrices")
15675 (description
15676 "This package provides high performance functions for row and column
15677 operations on sparse matrices. Currently, the optimizations are limited to
15678 data in the column sparse format.")
15679 (license license:expat)))
15680
15681 (define-public r-delayedmatrixstats
15682 (package
15683 (name "r-delayedmatrixstats")
15684 (version "1.18.1")
15685 (source
15686 (origin
15687 (method url-fetch)
15688 (uri (bioconductor-uri "DelayedMatrixStats" version))
15689 (sha256
15690 (base32
15691 "1kq643fmfzq1qjvpj3kc092ahc3qamqgx53layqsyvz5mil55jjv"))))
15692 (properties
15693 `((upstream-name . "DelayedMatrixStats")))
15694 (build-system r-build-system)
15695 (propagated-inputs
15696 (list r-delayedarray
15697 r-iranges
15698 r-matrix
15699 r-matrixgenerics
15700 r-matrixstats
15701 r-s4vectors
15702 r-sparsematrixstats))
15703 (native-inputs
15704 (list r-knitr))
15705 (home-page "https://github.com/PeteHaitch/DelayedMatrixStats")
15706 (synopsis "Functions that apply to rows and columns of DelayedMatrix objects")
15707 (description
15708 "This package provides a port of the @code{matrixStats} API for use with
15709 @code{DelayedMatrix} objects from the @code{DelayedArray} package. It
15710 contains high-performing functions operating on rows and columns of
15711 @code{DelayedMatrix} objects, e.g. @code{colMedians}, @code{rowMedians},
15712 @code{colRanks}, @code{rowRanks}, @code{colSds}, and @code{rowSds}. Functions
15713 are optimized per data type and for subsetted calculations such that both
15714 memory usage and processing time is minimized.")
15715 (license license:expat)))
15716
15717 (define-public r-mscoreutils
15718 (package
15719 (name "r-mscoreutils")
15720 (version "1.8.0")
15721 (source
15722 (origin
15723 (method url-fetch)
15724 (uri (bioconductor-uri "MsCoreUtils" version))
15725 (sha256
15726 (base32
15727 "077x1zcy27x8akmagjn75j97082cgnahrbfw0qx08q455m5x3xzh"))))
15728 (properties `((upstream-name . "MsCoreUtils")))
15729 (build-system r-build-system)
15730 (propagated-inputs
15731 (list r-clue r-mass r-rcpp r-s4vectors))
15732 (native-inputs
15733 (list r-knitr))
15734 (home-page "https://github.com/RforMassSpectrometry/MsCoreUtils")
15735 (synopsis "Core utils for mass spectrometry data")
15736 (description
15737 "This package defines low-level functions for mass spectrometry data and
15738 is independent of any high-level data structures. These functions include
15739 mass spectra processing functions (noise estimation, smoothing, binning),
15740 quantitative aggregation functions (median polish, robust summarisation,
15741 etc.), missing data imputation, data normalisation (quantiles, vsn, etc.) as
15742 well as misc helper functions, that are used across high-level data structure
15743 within the R for Mass Spectrometry packages.")
15744 (license license:artistic2.0)))
15745
15746 (define-public r-msfeatures
15747 (package
15748 (name "r-msfeatures")
15749 (version "1.4.0")
15750 (source
15751 (origin
15752 (method url-fetch)
15753 (uri (bioconductor-uri "MsFeatures" version))
15754 (sha256
15755 (base32 "111iqcq4q315pb4j8z427shin9b00p179m2s9h6dd7imvbd68yq3"))))
15756 (properties `((upstream-name . "MsFeatures")))
15757 (build-system r-build-system)
15758 (propagated-inputs
15759 (list r-mscoreutils r-protgenerics r-summarizedexperiment))
15760 (native-inputs
15761 (list r-knitr))
15762 (home-page "https://github.com/RforMassSpectrometry/MsFeatures")
15763 (synopsis "Functionality for mass spectrometry features")
15764 (description
15765 "The MsFeature package defines functionality for Mass Spectrometry
15766 features. This includes functions to group (LC-MS) features based on some of
15767 their properties, such as retention time (coeluting features), or correlation
15768 of signals across samples. This package hence can be used to group features, and
15769 its results can be used as an input for the @code{QFeatures} package which
15770 allows aggregating abundance levels of features within each group. This
15771 package defines concepts and functions for base and common data types,
15772 implementations for more specific data types are expected to be implemented in
15773 the respective packages (such as e.g. @code{xcms}).")
15774 (license license:artistic2.0)))
15775
15776 (define-public r-biocio
15777 (package
15778 (name "r-biocio")
15779 (version "1.6.0")
15780 (source
15781 (origin
15782 (method url-fetch)
15783 (uri (bioconductor-uri "BiocIO" version))
15784 (sha256
15785 (base32
15786 "16j826w4zrmbgpmq6nyglcrjailsfv48ih1rz1qn383g7v503ydp"))))
15787 (properties `((upstream-name . "BiocIO")))
15788 (build-system r-build-system)
15789 (propagated-inputs
15790 (list r-biocgenerics r-s4vectors))
15791 (native-inputs
15792 (list r-knitr))
15793 (home-page "https://bioconductor.org/packages/BiocIO")
15794 (synopsis "Standard input and output for Bioconductor packages")
15795 (description
15796 "This package implements `import()` and `export()` standard generics for
15797 importing and exporting biological data formats. `import()` supports
15798 whole-file as well as chunk-wise iterative import. The `import()` interface
15799 optionally provides a standard mechanism for 'lazy' access via `filter()` (on
15800 row or element-like components of the file resource), `select()` (on
15801 column-like components of the file resource) and `collect()`. The `import()`
15802 interface optionally provides transparent access to remote (e.g. via https)
15803 as well as local access. Developers can register a file extension, e.g.,
15804 `.loom` for dispatch from character-based URIs to specific `import()` /
15805 `export()` methods based on classes representing file types, e.g.,
15806 `LoomFile()`.")
15807 (license license:artistic2.0)))
15808
15809 (define-public r-msmseda
15810 (package
15811 (name "r-msmseda")
15812 (version "1.34.0")
15813 (source
15814 (origin
15815 (method url-fetch)
15816 (uri (bioconductor-uri "msmsEDA" version))
15817 (sha256
15818 (base32
15819 "0jnaq9ar4mnf3pfhka9hvk61p51ny9jws49xi8z29dq288b42b42"))))
15820 (properties `((upstream-name . "msmsEDA")))
15821 (build-system r-build-system)
15822 (propagated-inputs
15823 (list r-gplots r-mass r-msnbase r-rcolorbrewer))
15824 (home-page
15825 "https://bioconductor.org/packages/msmsEDA")
15826 (synopsis "Exploratory data analysis of LC-MS/MS data by spectral counts")
15827 (description
15828 "Exploratory data analysis to assess the quality of a set of LC-MS/MS
15829 experiments, and visualize de influence of the involved factors.")
15830 (license license:gpl2)))
15831
15832 (define-public r-msmstests
15833 (package
15834 (name "r-msmstests")
15835 (version "1.34.0")
15836 (source
15837 (origin
15838 (method url-fetch)
15839 (uri (bioconductor-uri "msmsTests" version))
15840 (sha256
15841 (base32
15842 "1wzdz0p9wmr243xkmymx9fwskafkyxgmlip4sd1fy2s06px7r0xi"))))
15843 (properties `((upstream-name . "msmsTests")))
15844 (build-system r-build-system)
15845 (propagated-inputs
15846 (list r-edger r-msmseda r-msnbase r-qvalue))
15847 (home-page
15848 "https://bioconductor.org/packages/msmsTests")
15849 (synopsis "Differential LC-MS/MS expression tests")
15850 (description
15851 "This package provides statistical tests for label-free LC-MS/MS data
15852 by spectral counts, to discover differentially expressed proteins between two
15853 biological conditions. Three tests are available: Poisson GLM regression,
15854 quasi-likelihood GLM regression, and the negative binomial of the edgeR
15855 package. The three models admit blocking factors to control for nuisance
15856 variables. To assure a good level of reproducibility a post-test filter is
15857 available, where we may set the minimum effect size considered biologicaly
15858 relevant, and the minimum expression of the most abundant condition.")
15859 (license license:gpl2)))
15860
15861 (define-public r-catalyst
15862 (package
15863 (name "r-catalyst")
15864 (version "1.20.1")
15865 (source
15866 (origin
15867 (method url-fetch)
15868 (uri (bioconductor-uri "CATALYST" version))
15869 (sha256
15870 (base32
15871 "05vfqwa9qsm16px77s9bzygs6zymcxshymmpvz86a9l1cy1yxbza"))))
15872 (properties `((upstream-name . "CATALYST")))
15873 (build-system r-build-system)
15874 (propagated-inputs
15875 (list r-circlize
15876 r-complexheatmap
15877 r-consensusclusterplus
15878 r-cowplot
15879 r-data-table
15880 r-dplyr
15881 r-drc
15882 r-flowcore
15883 r-flowsom
15884 r-ggplot2
15885 r-ggrepel
15886 r-ggridges
15887 r-gridextra
15888 r-magrittr
15889 r-matrix
15890 r-matrixstats
15891 r-nnls
15892 r-purrr
15893 r-rcolorbrewer
15894 r-reshape2
15895 r-rtsne
15896 r-s4vectors
15897 r-scales
15898 r-scater
15899 r-singlecellexperiment
15900 r-summarizedexperiment))
15901 (native-inputs
15902 (list r-knitr))
15903 (home-page "https://github.com/HelenaLC/CATALYST")
15904 (synopsis "Cytometry data analysis tools")
15905 (description
15906 "This package is @dfn{Cytometry dATa anALYSis Tools} (CATALYST). Mass
15907 cytometry like @dfn{Cytometry by time of flight} (CyTOF) uses heavy metal
15908 isotopes rather than fluorescent tags as reporters to label antibodies,
15909 thereby substantially decreasing spectral overlap and allowing for examination
15910 of over 50 parameters at the single cell level. While spectral overlap is
15911 significantly less pronounced in CyTOF than flow cytometry, spillover due to
15912 detection sensitivity, isotopic impurities, and oxide formation can impede
15913 data interpretability. @code{CATALYST} was designed to provide a pipeline for
15914 preprocessing of cytometry data, including:
15915
15916 @enumerate
15917 @item normalization using bead standards;
15918 @item single-cell deconvolution;
15919 @item bead-based compensation.
15920 @end enumerate
15921 ")
15922 (license license:gpl2+)))
15923
15924 (define-public r-erma
15925 (package
15926 (name "r-erma")
15927 (version "1.12.0")
15928 (source
15929 (origin
15930 (method url-fetch)
15931 (uri (bioconductor-uri "erma" version))
15932 (sha256
15933 (base32
15934 "1ilq01cr2ipxpmp422fikiz6nj4nasjhj0ikcagjn2zmmarpgi1b"))))
15935 (build-system r-build-system)
15936 (propagated-inputs
15937 (list r-annotationdbi
15938 r-biobase
15939 r-biocgenerics
15940 r-biocparallel
15941 r-genomeinfodb
15942 r-genomicfiles
15943 r-genomicranges
15944 r-ggplot2
15945 r-homo-sapiens
15946 r-iranges
15947 r-rtracklayer
15948 r-s4vectors
15949 r-shiny
15950 r-summarizedexperiment))
15951 (native-inputs
15952 (list r-knitr))
15953 (home-page "https://bioconductor.org/packages/erma")
15954 (synopsis "Epigenomic road map adventures")
15955 (description
15956 "The epigenomics road map describes locations of epigenetic marks in DNA
15957 from a variety of cell types. Of interest are locations of histone
15958 modifications, sites of DNA methylation, and regions of accessible chromatin.
15959 This package presents a selection of elements of the road map including
15960 metadata and outputs of the ChromImpute procedure applied to ENCODE cell lines
15961 by Ernst and Kellis.")
15962 (license license:artistic2.0)))
15963
15964 (define-public r-ggbio
15965 (package
15966 (name "r-ggbio")
15967 (version "1.44.1")
15968 (source
15969 (origin
15970 (method url-fetch)
15971 (uri (bioconductor-uri "ggbio" version))
15972 (sha256
15973 (base32
15974 "0iyhjalwq1jmldpn20iv8l2kmz6sm20ddry2yz2zn7yq0wszp3vg"))))
15975 (build-system r-build-system)
15976 (arguments
15977 `(#:phases
15978 (modify-phases %standard-phases
15979 ;; See https://github.com/tengfei/ggbio/issues/117
15980 ;; This fix will be included in the next release.
15981 (add-after 'unpack 'fix-typo
15982 (lambda _
15983 (substitute* "R/GGbio-class.R"
15984 (("fechable") "fetchable"))
15985 #t)))))
15986 (propagated-inputs
15987 (list r-annotationdbi
15988 r-annotationfilter
15989 r-biobase
15990 r-biocgenerics
15991 r-biostrings
15992 r-biovizbase
15993 r-bsgenome
15994 r-ensembldb
15995 r-genomeinfodb
15996 r-genomicalignments
15997 r-genomicfeatures
15998 r-genomicranges
15999 r-ggally
16000 r-ggplot2
16001 r-gridextra
16002 r-gtable
16003 r-hmisc
16004 r-iranges
16005 r-organismdbi
16006 r-reshape2
16007 r-rlang
16008 r-rsamtools
16009 r-rtracklayer
16010 r-s4vectors
16011 r-scales
16012 r-summarizedexperiment
16013 r-variantannotation))
16014 (native-inputs
16015 (list r-knitr))
16016 (home-page "http://www.tengfei.name/ggbio/")
16017 (synopsis "Visualization tools for genomic data")
16018 (description
16019 "The ggbio package extends and specializes the grammar of graphics for
16020 biological data. The graphics are designed to answer common scientific
16021 questions, in particular those often asked of high throughput genomics data.
16022 All core Bioconductor data structures are supported, where appropriate. The
16023 package supports detailed views of particular genomic regions, as well as
16024 genome-wide overviews. Supported overviews include ideograms and grand linear
16025 views. High-level plots include sequence fragment length, edge-linked
16026 interval to data view, mismatch pileup, and several splicing summaries.")
16027 (license license:artistic2.0)))
16028
16029 (define-public r-gqtlbase
16030 (package
16031 (name "r-gqtlbase")
16032 (version "1.21.1")
16033 (source
16034 (origin
16035 (method url-fetch)
16036 (uri (bioconductor-uri "gQTLBase" version))
16037 (sha256
16038 (base32
16039 "0nipibm1bk9k70ajbw1f6vjmz0dh7gk21l17q3m54bnawxsggrfh"))))
16040 (properties `((upstream-name . "gQTLBase")))
16041 (build-system r-build-system)
16042 (arguments
16043 `(#:phases
16044 (modify-phases %standard-phases
16045 ;; This is an upstream bug.
16046 (add-after 'unpack 'fix-imports
16047 (lambda _
16048 (substitute* "NAMESPACE"
16049 ((".*maxffmode.*") "")
16050 (("importFrom\\(ff,.*") "import(ff)\n"))
16051 #t)))))
16052 (propagated-inputs
16053 (list r-batchjobs
16054 r-bbmisc
16055 r-biocgenerics
16056 r-bit
16057 r-doparallel
16058 r-ff
16059 r-ffbase
16060 r-foreach
16061 r-genomicfiles
16062 r-genomicranges
16063 r-rtracklayer
16064 r-s4vectors
16065 r-summarizedexperiment))
16066 (native-inputs
16067 (list r-knitr))
16068 (home-page "https://bioconductor.org/packages/gQTLBase")
16069 (synopsis "Infrastructure for eQTL, mQTL and similar studies")
16070 (description
16071 "The purpose of this package is to simplify the storage and interrogation
16072 of @dfn{quantitative trait loci} (QTL) archives, such as eQTL, mQTL, dsQTL,
16073 and more.")
16074 (license license:artistic2.0)))
16075
16076 (define-public r-gqtlstats
16077 (package
16078 (name "r-gqtlstats")
16079 (version "1.21.3")
16080 (source
16081 (origin
16082 (method url-fetch)
16083 (uri (bioconductor-uri "gQTLstats" version))
16084 (sha256
16085 (base32
16086 "1h78l23idf867djmdk97b02jxgmz4vfr2dai01fp648d0lsx5mkl"))))
16087 (properties `((upstream-name . "gQTLstats")))
16088 (build-system r-build-system)
16089 (propagated-inputs
16090 (list r-annotationdbi
16091 r-batchjobs
16092 r-bbmisc
16093 r-beeswarm
16094 r-biobase
16095 r-biocgenerics
16096 r-doparallel
16097 r-dplyr
16098 r-erma
16099 r-ffbase
16100 r-foreach
16101 r-genomeinfodb
16102 r-genomicfeatures
16103 r-genomicfiles
16104 r-genomicranges
16105 r-ggbeeswarm
16106 r-ggplot2
16107 r-gqtlbase
16108 r-hardyweinberg
16109 r-homo-sapiens
16110 r-iranges
16111 r-limma
16112 r-mgcv
16113 r-plotly
16114 r-reshape2
16115 r-s4vectors
16116 r-shiny
16117 r-snpstats
16118 r-summarizedexperiment
16119 r-variantannotation))
16120 (native-inputs
16121 (list r-knitr))
16122 (home-page "https://bioconductor.org/packages/gQTLstats")
16123 (synopsis "Computationally efficient analysis for eQTL and allied studies")
16124 (description
16125 "This package provides tools for the computationally efficient analysis
16126 of @dfn{quantitative trait loci} (QTL) data, including eQTL, mQTL, dsQTL, etc.
16127 The software in this package aims to support refinements and functional
16128 interpretation of members of a collection of association statistics on a
16129 family of feature/genome hypotheses.")
16130 (license license:artistic2.0)))
16131
16132 (define-public r-gviz
16133 (package
16134 (name "r-gviz")
16135 (version "1.40.1")
16136 (source
16137 (origin
16138 (method url-fetch)
16139 (uri (bioconductor-uri "Gviz" version))
16140 (sha256
16141 (base32
16142 "0as3sxhv21bqqrpvafcqim7798hhkzj3q40hy1rqyhv2lhj4rbvi"))))
16143 (properties `((upstream-name . "Gviz")))
16144 (build-system r-build-system)
16145 (propagated-inputs
16146 (list r-annotationdbi
16147 r-biobase
16148 r-biocgenerics
16149 r-biomart
16150 r-biostrings
16151 r-biovizbase
16152 r-bsgenome
16153 r-digest
16154 r-ensembldb
16155 r-genomeinfodb
16156 r-genomicalignments
16157 r-genomicfeatures
16158 r-genomicranges
16159 r-iranges
16160 r-lattice
16161 r-latticeextra
16162 r-matrixstats
16163 r-rcolorbrewer
16164 r-rsamtools
16165 r-rtracklayer
16166 r-s4vectors
16167 r-xvector))
16168 (native-inputs
16169 (list r-knitr))
16170 (home-page "https://bioconductor.org/packages/Gviz")
16171 (synopsis "Plotting data and annotation information along genomic coordinates")
16172 (description
16173 "Genomic data analyses requires integrated visualization of known genomic
16174 information and new experimental data. Gviz uses the biomaRt and the
16175 rtracklayer packages to perform live annotation queries to Ensembl and UCSC
16176 and translates this to e.g. gene/transcript structures in viewports of the
16177 grid graphics package. This results in genomic information plotted together
16178 with your data.")
16179 (license license:artistic2.0)))
16180
16181 (define-public r-gwascat
16182 (package
16183 (name "r-gwascat")
16184 (version "2.28.1")
16185 (source
16186 (origin
16187 (method url-fetch)
16188 (uri (bioconductor-uri "gwascat" version))
16189 (sha256
16190 (base32
16191 "19ymdxj8966i4yk0zalfw23938cpv4q7pywg4qb242p44na5y9sl"))))
16192 (build-system r-build-system)
16193 (propagated-inputs
16194 (list r-annotationdbi
16195 r-annotationhub
16196 r-biocfilecache
16197 r-biostrings
16198 r-genomeinfodb
16199 r-genomicfeatures
16200 r-genomicranges
16201 r-iranges
16202 r-readr
16203 r-s4vectors
16204 r-snpstats
16205 r-variantannotation))
16206 (native-inputs
16207 (list r-knitr))
16208 (home-page "https://bioconductor.org/packages/gwascat")
16209 (synopsis "Tools for data in the EMBL-EBI GWAS catalog")
16210 (description
16211 "This package provides tools for representing and modeling data in the
16212 EMBL-EBI GWAS catalog.")
16213 (license license:artistic2.0)))
16214
16215 (define-public r-kegggraph
16216 (package
16217 (name "r-kegggraph")
16218 (version "1.56.0")
16219 (source
16220 (origin
16221 (method url-fetch)
16222 (uri (bioconductor-uri "KEGGgraph" version))
16223 (sha256
16224 (base32 "15pq040pcg8hr18xixmjp59xb7mgvygjv6kisqk8yv99l1611ndx"))))
16225 (properties `((upstream-name . "KEGGgraph")))
16226 (build-system r-build-system)
16227 (propagated-inputs
16228 (list r-graph r-rcurl r-rgraphviz r-xml))
16229 (home-page "https://bioconductor.org/packages/KEGGgraph")
16230 (synopsis "Graph approach to Kegg Pathway database in R and Bioconductor")
16231 (description
16232 "@code{r-kegggraph} is an interface between Kegg Pathway database and graph
16233 object as well as a collection of tools to analyze, dissect and visualize these
16234 graphs. It parses the regularly updated kgml (Kegg XML) files into graph models
16235 maintaining all essential pathway attributes. The package offers
16236 functionalities including parsing, graph operation, visualization and etc.")
16237 (license license:gpl2+)))
16238
16239 (define-public r-ldblock
16240 (package
16241 (name "r-ldblock")
16242 (version "1.26.0")
16243 (source
16244 (origin
16245 (method url-fetch)
16246 (uri (bioconductor-uri "ldblock" version))
16247 (sha256
16248 (base32
16249 "08ss03b93czwb4x60hsi30ad4lmamvq5mxa8nj0g18z68qcraijm"))))
16250 (build-system r-build-system)
16251 (propagated-inputs
16252 (list r-biocgenerics
16253 r-ensdb-hsapiens-v75
16254 r-ensembldb
16255 r-genomeinfodb
16256 r-genomicfiles
16257 r-httr
16258 r-matrix
16259 r-rsamtools
16260 r-snpstats
16261 r-variantannotation))
16262 (native-inputs
16263 (list r-knitr))
16264 (home-page "https://bioconductor.org/packages/ldblock")
16265 (synopsis "Data structures for linkage disequilibrium measures in populations")
16266 (description
16267 "This package defines data structures for @dfn{linkage
16268 disequilibrium} (LD) measures in populations. Its purpose is to simplify
16269 handling of existing population-level data for the purpose of flexibly
16270 defining LD blocks.")
16271 (license license:artistic2.0)))
16272
16273 ;; This is a CRAN package, but it depends on r-snpstats, which is a
16274 ;; Bioconductor package.
16275 (define-public r-ldheatmap
16276 (package
16277 (name "r-ldheatmap")
16278 (version "1.0-6")
16279 (source
16280 (origin
16281 (method url-fetch)
16282 (uri (cran-uri "LDheatmap" version))
16283 (sha256
16284 (base32
16285 "0gr99kys1ahyl8s6cbj6rmh4vwid8kn92lcbjnwh0ahb73m2xjjc"))))
16286 (properties `((upstream-name . "LDheatmap")))
16287 (build-system r-build-system)
16288 (propagated-inputs
16289 (list r-genetics r-rcpp r-snpstats))
16290 (home-page "https://stat.sfu.ca/statgen/research/ldheatmap.html")
16291 (synopsis "Graphical display of pairwise linkage disequilibria between SNPs")
16292 (description
16293 "This package provides tools to produce a graphical display, as a heat
16294 map, of measures of pairwise linkage disequilibria between SNPs. Users may
16295 optionally include the physical locations or genetic map distances of each SNP
16296 on the plot.")
16297 (license license:gpl3)))
16298
16299 ;; This is a CRAN package, but it depends on r-rgraphviz, which is a
16300 ;; Bioconductor package.
16301 (define-public r-abn
16302 (package
16303 (name "r-abn")
16304 (version "2.7-1")
16305 (source
16306 (origin
16307 (method url-fetch)
16308 (uri (cran-uri "abn" version))
16309 (sha256
16310 (base32
16311 "1w3jns96m8b9scvaa4hcla3i88a0cfh9qis2l04yixvda5q91gpr"))))
16312 (build-system r-build-system)
16313 (inputs
16314 (list gsl))
16315 (propagated-inputs
16316 (list r-doparallel
16317 r-foreach
16318 r-graph
16319 r-lme4
16320 r-nnet
16321 r-rcpp
16322 r-rcpparmadillo
16323 r-rgraphviz
16324 r-rjags))
16325 (home-page "https://r-bayesian-networks.org/")
16326 (synopsis "Modelling multivariate data with additive bayesian networks")
16327 (description
16328 "Bayesian network analysis is a form of probabilistic graphical models
16329 which derives from empirical data a directed acyclic graph, DAG, describing
16330 the dependency structure between random variables. An additive Bayesian
16331 network model consists of a form of a DAG where each node comprises a
16332 @dfn{generalized linear model} (GLM). Additive Bayesian network models are
16333 equivalent to Bayesian multivariate regression using graphical modelling, they
16334 generalises the usual multivariable regression, GLM, to multiple dependent
16335 variables. This package provides routines to help determine optimal Bayesian
16336 network models for a given data set, where these models are used to identify
16337 statistical dependencies in messy, complex data.")
16338 (license license:gpl2+)))
16339
16340 ;; This is a CRAN package, but it depends on r-rsamtools, which is a
16341 ;; Bioconductor package.
16342 (define-public r-spp
16343 (package
16344 (name "r-spp")
16345 (version "1.16.0")
16346 (source (origin
16347 (method url-fetch)
16348 (uri (cran-uri "spp" version))
16349 (sha256
16350 (base32
16351 "08zxxgyp0h6733b08jmml7k4rhfd3mi5dda3jrzid0s184y0z29w"))))
16352 (build-system r-build-system)
16353 (inputs
16354 (list zlib))
16355 (propagated-inputs
16356 (list r-bh r-catools r-rcpp r-rsamtools))
16357 (home-page "https://cran.r-project.org/web/packages/spp/")
16358 (synopsis "ChIP-Seq processing pipeline")
16359 (description "This package provides tools for analysis of ChIP-seq and
16360 other functional sequencing data.")
16361 (license license:gpl2)))
16362
16363 (define-public r-pathview
16364 (package
16365 (name "r-pathview")
16366 (version "1.36.1")
16367 (source
16368 (origin
16369 (method url-fetch)
16370 (uri (bioconductor-uri "pathview" version))
16371 (sha256
16372 (base32 "11g4zhy4qfq0gmy588334f7s2w1acs2dz9kimax5ya2b8jjibk71"))))
16373 (properties `((upstream-name . "pathview")))
16374 (build-system r-build-system)
16375 (propagated-inputs
16376 (list r-annotationdbi
16377 r-graph
16378 r-kegggraph
16379 r-keggrest
16380 r-org-hs-eg-db
16381 r-png
16382 r-rgraphviz
16383 r-xml))
16384 (home-page "https://pathview.uncc.edu/")
16385 (synopsis "Tool set for pathway based data integration and visualization")
16386 (description
16387 "@code{r-pathview} is a tool set for pathway based data integration and
16388 visualization. It maps and renders a wide variety of biological data on
16389 relevant pathway graphs. All users need is to supply their data and specify
16390 the target pathway. This package automatically downloads the pathway graph
16391 data, parses the data file, maps user data to the pathway, and render pathway
16392 graph with the mapped data. In addition, @code{r-pathview} also seamlessly
16393 integrates with pathway and gene set (enrichment) analysis tools for
16394 large-scale and fully automated analysis.")
16395 (license license:gpl3+)))
16396
16397 (define-public r-snpstats
16398 (package
16399 (name "r-snpstats")
16400 (version "1.46.0")
16401 (source
16402 (origin
16403 (method url-fetch)
16404 (uri (bioconductor-uri "snpStats" version))
16405 (sha256
16406 (base32
16407 "0a5b5nqc7n965jk45ijwkzbn416ib4gfhp8xl39z8f2bdskip4a2"))))
16408 (properties `((upstream-name . "snpStats")))
16409 (build-system r-build-system)
16410 (inputs (list zlib))
16411 (propagated-inputs
16412 (list r-biocgenerics r-matrix r-survival r-zlibbioc))
16413 (home-page "https://bioconductor.org/packages/snpStats")
16414 (synopsis "Methods for SNP association studies")
16415 (description
16416 "This package provides classes and statistical methods for large
16417 @dfn{single-nucleotide polymorphism} (SNP) association studies. This extends
16418 the earlier snpMatrix package, allowing for uncertainty in genotypes.")
16419 (license license:gpl3)))
16420
16421 (define-public r-chromstar
16422 (package
16423 (name "r-chromstar")
16424 (version "1.22.0")
16425 (source
16426 (origin
16427 (method url-fetch)
16428 (uri (bioconductor-uri "chromstaR" version))
16429 (sha256
16430 (base32
16431 "1xjwmnr4hk8v3nwvhqd6ixk5qr2dv0n4mb9wd6nl7cgjfhjsdgj7"))))
16432 (properties `((upstream-name . "chromstaR")))
16433 (build-system r-build-system)
16434 (propagated-inputs
16435 (list r-bamsignals
16436 r-biocgenerics
16437 r-chromstardata
16438 r-doparallel
16439 r-foreach
16440 r-genomeinfodb
16441 r-genomicalignments
16442 r-genomicranges
16443 r-ggplot2
16444 r-iranges
16445 r-mvtnorm
16446 r-reshape2
16447 r-rsamtools
16448 r-s4vectors))
16449 (native-inputs (list r-knitr))
16450 (home-page "https://github.com/ataudt/chromstaR")
16451 (synopsis "Chromatin state analysis for ChIP-Seq data")
16452 (description
16453 "This package implements functions for combinatorial and differential
16454 analysis of ChIP-seq data. It includes uni- and multivariate peak-calling,
16455 export to genome browser viewable files, and functions for enrichment
16456 analyses.")
16457 (license license:artistic2.0)))
16458
16459 (define-public r-guitar
16460 (package
16461 (name "r-guitar")
16462 (version "2.12.0")
16463 (source
16464 (origin
16465 (method url-fetch)
16466 (uri (bioconductor-uri "Guitar" version))
16467 (sha256
16468 (base32
16469 "09grsasnnk7rmlzjh4lhas9r5spzcsrvmdqj6fx1dk22sckcqahh"))))
16470 (properties `((upstream-name . "Guitar")))
16471 (build-system r-build-system)
16472 (propagated-inputs
16473 (list r-annotationdbi
16474 r-dplyr
16475 r-genomicfeatures
16476 r-genomicranges
16477 r-ggplot2
16478 r-knitr
16479 r-magrittr
16480 r-rtracklayer))
16481 (native-inputs
16482 (list r-knitr))
16483 (home-page "https://bioconductor.org/packages/Guitar")
16484 (synopsis "Visualize genomic features")
16485 (description
16486 "This package is designed for visualization of RNA-related genomic
16487 features with respect to the landmarks of RNA transcripts, i.e., transcription
16488 starting site, start codon, stop codon and transcription ending site.")
16489 (license license:gpl2)))
16490
16491 (define-public r-sushi
16492 (package
16493 (name "r-sushi")
16494 (version "1.34.0")
16495 (source (origin
16496 (method url-fetch)
16497 (uri (bioconductor-uri "Sushi" version))
16498 (sha256
16499 (base32
16500 "0adswrbzd93rhy3q56ypwkrk6155vd4zxapvznswyjlxp8ha813q"))))
16501 (properties `((upstream-name . "Sushi")))
16502 (build-system r-build-system)
16503 (propagated-inputs
16504 (list r-biomart r-zoo))
16505 (home-page "https://bioconductor.org/packages/Sushi")
16506 (synopsis "Tools for visualizing genomics data")
16507 (description
16508 "This package provides flexible, quantitative, and integrative genomic
16509 visualizations for publication-quality multi-panel figures.")
16510 (license license:gpl2+)))
16511
16512 (define-public r-ballgown
16513 (package
16514 (name "r-ballgown")
16515 (version "2.28.0")
16516 (source
16517 (origin
16518 (method url-fetch)
16519 (uri (bioconductor-uri "ballgown" version))
16520 (sha256
16521 (base32
16522 "0l8q3fymskxmsi5jcikzjz5xi66lpzgv7bjymir4izah2v68z708"))))
16523 (properties `((upstream-name . "ballgown")))
16524 (build-system r-build-system)
16525 (propagated-inputs
16526 (list r-biobase
16527 r-genomeinfodb
16528 r-genomicranges
16529 r-iranges
16530 r-limma
16531 r-rcolorbrewer
16532 r-rtracklayer
16533 r-s4vectors
16534 r-sva))
16535 (native-inputs
16536 (list r-knitr))
16537 (home-page "https://bioconductor.org/packages/ballgown")
16538 (synopsis "Flexible, isoform-level differential expression analysis")
16539 (description
16540 "This package provides tools for statistical analysis of assembled
16541 transcriptomes, including flexible differential expression analysis,
16542 visualization of transcript structures, and matching of assembled transcripts
16543 to annotation.")
16544 (license license:artistic2.0)))
16545
16546 (define-public r-megadepth
16547 (package
16548 (name "r-megadepth")
16549 (version "1.6.0")
16550 (source
16551 (origin
16552 (method url-fetch)
16553 (uri (bioconductor-uri "megadepth" version))
16554 (sha256
16555 (base32
16556 "0qq82dmd3drr2bhn51bgbc6ml40klfmmhj6wdj72n9ya6n60lwy8"))))
16557 (properties `((upstream-name . "megadepth")))
16558 (build-system r-build-system)
16559 (inputs (list megadepth))
16560 (propagated-inputs
16561 (list r-cmdfun
16562 r-dplyr
16563 r-fs
16564 r-genomicranges
16565 r-magrittr
16566 r-readr
16567 r-xfun))
16568 (native-inputs
16569 (list r-knitr))
16570 (home-page "https://github.com/LieberInstitute/megadepth")
16571 (synopsis "BigWig and BAM related utilities")
16572 (description
16573 "This package provides an R interface to Megadepth. It is particularly
16574 useful for computing the coverage of a set of genomic regions across bigWig or
16575 BAM files. With this package, you can build base-pair coverage matrices for
16576 regions or annotations of your choice from BigWig files.")
16577 (license license:artistic2.0)))
16578
16579 (define-public r-beclear
16580 (package
16581 (name "r-beclear")
16582 (version "2.12.0")
16583 (source
16584 (origin
16585 (method url-fetch)
16586 (uri (bioconductor-uri "BEclear" version))
16587 (sha256
16588 (base32
16589 "0x43yfnmb2d782g3g52nqdfs90i3zrrlqz8qy3ybmgv5f8n92p15"))))
16590 (properties `((upstream-name . "BEclear")))
16591 (build-system r-build-system)
16592 (propagated-inputs
16593 (list r-abind
16594 r-biocparallel
16595 r-data-table
16596 r-dixontest
16597 r-futile-logger
16598 r-matrix
16599 r-rcpp
16600 r-rdpack))
16601 (native-inputs
16602 (list r-knitr))
16603 (home-page "https://github.com/uds-helms/BEclear")
16604 (synopsis "Correction of batch effects in DNA methylation data")
16605 (description
16606 "This package provides functions to detect and correct for batch effects
16607 in DNA methylation data. The core function is based on latent factor models
16608 and can also be used to predict missing values in any other matrix containing
16609 real numbers.")
16610 (license license:gpl3)))
16611
16612 (define-public r-bgeecall
16613 (package
16614 (name "r-bgeecall")
16615 (version "1.12.2")
16616 (source
16617 (origin
16618 (method url-fetch)
16619 (uri (bioconductor-uri "BgeeCall" version))
16620 (sha256
16621 (base32
16622 "0l6smwy55mm4clb71l4bpch3bayyyf87nq1asbrv6s6fd22mmwil"))))
16623 (properties `((upstream-name . "BgeeCall")))
16624 (build-system r-build-system)
16625 (propagated-inputs
16626 (list kallisto
16627 r-biomart
16628 r-biostrings
16629 r-data-table
16630 r-dplyr
16631 r-genomicfeatures
16632 r-jsonlite
16633 r-rhdf5
16634 r-rslurm
16635 r-rtracklayer
16636 r-sjmisc
16637 r-tximport))
16638 (native-inputs (list r-knitr))
16639 (home-page "https://github.com/BgeeDB/BgeeCall")
16640 (synopsis "RNA-Seq present/absent gene expression calls generation")
16641 (description
16642 "BgeeCall allows generating present/absent gene expression calls without
16643 using an arbitrary cutoff like TPM<1. Calls are generated based on reference
16644 intergenic sequences. These sequences are generated based on expression of
16645 all RNA-Seq libraries of each species integrated in Bgee.")
16646 (license license:gpl3)))
16647
16648 (define-public r-bgeedb
16649 (package
16650 (name "r-bgeedb")
16651 (version "2.22.3")
16652 (source
16653 (origin
16654 (method url-fetch)
16655 (uri (bioconductor-uri "BgeeDB" version))
16656 (sha256
16657 (base32
16658 "1f6lrazaibbz21sqvj59rq6ps9m1riw2y0kyidbn29mxf4ibwh3k"))))
16659 (properties `((upstream-name . "BgeeDB")))
16660 (build-system r-build-system)
16661 (propagated-inputs
16662 (list r-biobase
16663 r-curl
16664 r-data-table
16665 r-digest
16666 r-dplyr
16667 r-graph
16668 r-r-utils
16669 r-rcurl
16670 r-rsqlite
16671 r-tidyr
16672 r-topgo))
16673 (native-inputs (list r-knitr))
16674 (home-page "https://github.com/BgeeDB/BgeeDB_R")
16675 (synopsis "Annotation and gene expression data retrieval from Bgee database")
16676 (description
16677 "This package provides a package for the annotation and gene expression
16678 data download from Bgee database, and TopAnat analysis: GO-like enrichment of
16679 anatomical terms, mapped to genes by expression patterns.")
16680 (license license:gpl3)))
16681
16682 (define-public r-biobtreer
16683 (package
16684 (name "r-biobtreer")
16685 (version "1.8.0")
16686 (source
16687 (origin
16688 (method url-fetch)
16689 (uri (bioconductor-uri "biobtreeR" version))
16690 (sha256
16691 (base32
16692 "0cx46hdqqm6mbj0vp4y86axv0qccd4sgk2jwwjvnqp5pynq9bbqa"))))
16693 (properties `((upstream-name . "biobtreeR")))
16694 (build-system r-build-system)
16695 (propagated-inputs
16696 (list r-httpuv r-httr r-jsonlite r-stringi))
16697 (native-inputs (list r-knitr))
16698 (home-page "https://github.com/tamerh/biobtreeR")
16699 (synopsis "Use biobtree tool from R")
16700 (description
16701 "The biobtreeR package provides an interface to biobtree, a tool which
16702 covers large sets of bioinformatics datasets and allows search and chain
16703 mappings functionalities.")
16704 (license license:expat)))
16705
16706 (define-public r-minet
16707 (package
16708 (name "r-minet")
16709 (version "3.54.0")
16710 (source
16711 (origin
16712 (method url-fetch)
16713 (uri (bioconductor-uri "minet" version))
16714 (sha256
16715 (base32
16716 "0q6jw2jqkl9qynjpzaygz45c7dmx1l5y2d8s1illpcf87siawcam"))))
16717 (properties `((upstream-name . "minet")))
16718 (build-system r-build-system)
16719 (propagated-inputs
16720 (list r-infotheo))
16721 (home-page "http://minet.meyerp.com")
16722 (synopsis "Mutual information networks")
16723 (description
16724 "This package implements various algorithms for inferring mutual
16725 information networks from data.")
16726 (license license:artistic2.0)))
16727
16728 (define-public r-genetclassifier
16729 (package
16730 (name "r-genetclassifier")
16731 (version "1.36.0")
16732 (source
16733 (origin
16734 (method url-fetch)
16735 (uri (bioconductor-uri "geNetClassifier" version))
16736 (sha256
16737 (base32
16738 "1kh7mp5h0n7yd1klcd7w4v7i3fh9pkmvgf7189wangfzbcsr4f70"))))
16739 (properties
16740 `((upstream-name . "geNetClassifier")))
16741 (build-system r-build-system)
16742 (propagated-inputs
16743 (list r-biobase r-e1071 r-ebarrays r-minet))
16744 (home-page "https://www.cicancer.org")
16745 (synopsis "Classify diseases and build gene networks using expression profiles")
16746 (description
16747 "This is a comprehensive package to automatically train and validate a
16748 multi-class SVM classifier based on gene expression data. It provides
16749 transparent selection of gene markers, their coexpression networks, and an
16750 interface to query the classifier.")
16751 (license license:gpl2+)))
16752
16753 (define-public r-dir-expiry
16754 (package
16755 (name "r-dir-expiry")
16756 (version "1.4.0")
16757 (source
16758 (origin
16759 (method url-fetch)
16760 (uri (bioconductor-uri "dir.expiry" version))
16761 (sha256
16762 (base32
16763 "098wzm8hlpy70c99k2sl4k8z2dllhw7rwdj8dhcskr7kaw71k3sq"))))
16764 (properties `((upstream-name . "dir.expiry")))
16765 (build-system r-build-system)
16766 (propagated-inputs (list r-filelock))
16767 (native-inputs (list r-knitr))
16768 (home-page "https://bioconductor.org/packages/dir.expiry")
16769 (synopsis "Managing expiration for cache directories")
16770 (description
16771 "This package implements an expiration system for access to versioned
16772 directories. Directories that have not been accessed by a registered function
16773 within a certain time frame are deleted. This aims to reduce disk usage by
16774 eliminating obsolete caches generated by old versions of packages.")
16775 (license license:gpl3)))
16776
16777 (define-public r-basilisk-utils
16778 (package
16779 (name "r-basilisk-utils")
16780 (version "1.8.0")
16781 (source
16782 (origin
16783 (method url-fetch)
16784 (uri (bioconductor-uri "basilisk.utils" version))
16785 (sha256
16786 (base32
16787 "1jnqv0rlljkq27rd4ixl763v335f2aanm4fzr386yc81fj4vnmhk"))))
16788 (properties
16789 `((upstream-name . "basilisk.utils")))
16790 (build-system r-build-system)
16791 (propagated-inputs
16792 (list r-dir-expiry))
16793 (native-inputs (list r-knitr))
16794 (home-page "https://bioconductor.org/packages/basilisk.utils")
16795 (synopsis "Basilisk installation utilities")
16796 (description
16797 "This package implements utilities for installation of the basilisk
16798 package, primarily for creation of the underlying Conda instance.")
16799 (license license:gpl3)))
16800
16801 (define-public r-basilisk
16802 (package
16803 (name "r-basilisk")
16804 (version "1.8.1")
16805 (source
16806 (origin
16807 (method url-fetch)
16808 (uri (bioconductor-uri "basilisk" version))
16809 (sha256
16810 (base32
16811 "134xix2iq5l7783dng2jjklxd3m5lh4snb7bjhslrs2r1j3p8jpk"))))
16812 (properties `((upstream-name . "basilisk")))
16813 (build-system r-build-system)
16814 (propagated-inputs
16815 (list r-basilisk-utils r-dir-expiry r-reticulate))
16816 (native-inputs (list r-knitr))
16817 (home-page "https://bioconductor.org/packages/basilisk")
16818 (synopsis "Freeze Python dependencies inside Bioconductor packages")
16819 (description
16820 "This package installs a self-contained Conda instance that is managed by
16821 the R/Bioconductor installation machinery. This aims to provide a consistent
16822 Python environment that can be used reliably by Bioconductor packages.
16823 Functions are also provided to enable smooth interoperability of multiple
16824 Python environments in a single R session.")
16825 (license license:gpl3)))
16826
16827 (define-public r-biocthis
16828 (package
16829 (name "r-biocthis")
16830 (version "1.6.0")
16831 (source
16832 (origin
16833 (method url-fetch)
16834 (uri (bioconductor-uri "biocthis" version))
16835 (sha256
16836 (base32
16837 "1hdgjp00d2si3mr7m1d289i9wn7g927z6n8n27d5sm94lb91qln0"))))
16838 (properties `((upstream-name . "biocthis")))
16839 (build-system r-build-system)
16840 (arguments
16841 `(#:phases
16842 (modify-phases %standard-phases
16843 (add-after 'unpack 'set-HOME
16844 (lambda _ (setenv "HOME" "/tmp"))))))
16845 (propagated-inputs
16846 (list r-biocmanager
16847 r-fs
16848 r-glue
16849 r-rlang
16850 r-styler
16851 r-usethis))
16852 (native-inputs (list r-knitr))
16853 (home-page "https://github.com/lcolladotor/biocthis")
16854 (synopsis "Automate package and project setup for Bioconductor packages")
16855 (description
16856 "This package expands the @code{usethis} package with the goal of helping
16857 automate the process of creating R packages for Bioconductor or making them
16858 Bioconductor-friendly.")
16859 (license license:artistic2.0)))
16860
16861 (define-public r-biocdockermanager
16862 (package
16863 (name "r-biocdockermanager")
16864 (version "1.8.1")
16865 (source
16866 (origin
16867 (method url-fetch)
16868 (uri (bioconductor-uri "BiocDockerManager" version))
16869 (sha256
16870 (base32
16871 "0a4dcga18bw5mvzmsml28bf4zclz32pp9iflnbvps7pdxvhmmg9d"))))
16872 (properties
16873 `((upstream-name . "BiocDockerManager")))
16874 (build-system r-build-system)
16875 (propagated-inputs
16876 (list docker
16877 r-dplyr
16878 r-httr
16879 r-memoise
16880 r-readr
16881 r-whisker))
16882 (native-inputs (list r-knitr))
16883 (home-page "https://bioconductor.org/packages/BiocDockerManager")
16884 (synopsis "Access and manage Bioconductor Docker images")
16885 (description
16886 "This package works analogous to BiocManager but for Docker images. Use
16887 the BiocDockerManager package to install and manage Docker images provided by
16888 the Bioconductor project.")
16889 (license license:artistic2.0)))
16890
16891 (define-public r-biodb
16892 (package
16893 (name "r-biodb")
16894 (version "1.4.2")
16895 (source
16896 (origin
16897 (method url-fetch)
16898 (uri (bioconductor-uri "biodb" version))
16899 (sha256
16900 (base32
16901 "0f3clqmrpaawhjjyb4x5mnbhsam56r0av05b5cl5p4waylp8qbs1"))))
16902 (properties `((upstream-name . "biodb")))
16903 (build-system r-build-system)
16904 (propagated-inputs
16905 (list r-biocfilecache
16906 r-chk
16907 r-jsonlite
16908 r-lgr
16909 r-lifecycle
16910 r-openssl
16911 r-plyr
16912 r-progress
16913 r-r6
16914 r-rappdirs
16915 r-rcpp
16916 r-rcurl
16917 r-rsqlite
16918 r-stringr
16919 r-testthat
16920 r-withr
16921 r-xml
16922 r-yaml))
16923 (native-inputs (list r-knitr))
16924 (home-page "https://bioconductor.org/packages/biodb")
16925 (synopsis "Library for connecting to chemical and biological databases")
16926 (description
16927 "The biodb package provides access to standard remote chemical and
16928 biological databases (ChEBI, KEGG, HMDB, ...), as well as to in-house local
16929 database files (CSV, SQLite), with easy retrieval of entries, access to web
16930 services, search of compounds by mass and/or name, and mass spectra matching
16931 for LCMS and MSMS. Its architecture as a development framework facilitates
16932 the development of new database connectors for local projects or inside
16933 separate published packages.")
16934 (license license:agpl3+)))
16935
16936 (define-public r-biomformat
16937 (package
16938 (name "r-biomformat")
16939 (version "1.24.0")
16940 (source
16941 (origin
16942 (method url-fetch)
16943 (uri (bioconductor-uri "biomformat" version))
16944 (sha256
16945 (base32
16946 "12wqjipxhngmlnrdmx329dqmkmy2wa4nkkrhwaqv2nwy90dncs9n"))))
16947 (properties `((upstream-name . "biomformat")))
16948 (build-system r-build-system)
16949 (propagated-inputs
16950 (list r-jsonlite r-matrix r-plyr r-rhdf5))
16951 (native-inputs (list r-knitr))
16952 (home-page "https://github.com/joey711/biomformat/")
16953 (synopsis "Interface package for the BIOM file format")
16954 (description
16955 "This is an R package for interfacing with the BIOM format. This package
16956 includes basic tools for reading biom-format files, accessing and subsetting
16957 data tables from a biom object (which is more complex than a single table), as
16958 well as limited support for writing a biom-object back to a biom-format file.
16959 The design of this API is intended to match the Python API and other tools
16960 included with the biom-format project, but with a decidedly \"R flavor\" that
16961 should be familiar to R users. This includes S4 classes and methods, as well
16962 as extensions of common core functions/methods.")
16963 (license license:gpl2)))
16964
16965 (define-public r-mvcclass
16966 (package
16967 (name "r-mvcclass")
16968 (version "1.70.0")
16969 (source
16970 (origin
16971 (method url-fetch)
16972 (uri (bioconductor-uri "MVCClass" version))
16973 (sha256
16974 (base32
16975 "0apcjlq4i2mg8mlfqgvlcsqkiy51whzid3nd0m830jff0ywgh47g"))))
16976 (properties `((upstream-name . "MVCClass")))
16977 (build-system r-build-system)
16978 (home-page "https://bioconductor.org/packages/MVCClass")
16979 (synopsis "Model-View-Controller (MVC) classes")
16980 (description
16981 "This package contains classes used in model-view-controller (MVC)
16982 design.")
16983 (license license:lgpl2.1+)))
16984
16985 (define-public r-biomvcclass
16986 (package
16987 (name "r-biomvcclass")
16988 (version "1.64.0")
16989 (source
16990 (origin
16991 (method url-fetch)
16992 (uri (bioconductor-uri "BioMVCClass" version))
16993 (sha256
16994 (base32
16995 "078pnyygbvbfxziqspfr1nn78w67xyb4qmiwc34czga5psblvfwz"))))
16996 (properties `((upstream-name . "BioMVCClass")))
16997 (build-system r-build-system)
16998 (propagated-inputs
16999 (list r-biobase r-graph r-mvcclass r-rgraphviz))
17000 (home-page "https://bioconductor.org/packages/BioMVCClass")
17001 (synopsis "Model-View-Controller (MVC) classes that use Biobase")
17002 (description
17003 "This package contains classes used in model-view-controller (MVC)
17004 design.")
17005 (license license:lgpl2.1+)))
17006
17007 (define-public r-biomvrcns
17008 (package
17009 (name "r-biomvrcns")
17010 (version "1.36.0")
17011 (source
17012 (origin
17013 (method url-fetch)
17014 (uri (bioconductor-uri "biomvRCNS" version))
17015 (sha256
17016 (base32
17017 "0i576g7pkivqaxff1pkb760mdpx8v9fh071aic1mwfnlfa7k87ln"))))
17018 (properties `((upstream-name . "biomvRCNS")))
17019 (build-system r-build-system)
17020 (propagated-inputs
17021 (list r-genomicranges r-gviz r-iranges r-mvtnorm))
17022 (home-page "https://bioconductor.org/packages/biomvRCNS")
17023 (synopsis "Copy number study and segmentation for multivariate biological data")
17024 (description
17025 "In this package, a @dfn{Hidden Semi Markov Model} (HSMM) and one
17026 homogeneous segmentation model are designed and implemented for segmentation
17027 genomic data, with the aim of assisting in transcripts detection using high
17028 throughput technology like RNA-seq or tiling array, and copy number analysis
17029 using aCGH or sequencing.")
17030 (license license:gpl2+)))
17031
17032 (define-public r-bionero
17033 (package
17034 (name "r-bionero")
17035 (version "1.4.2")
17036 (source
17037 (origin
17038 (method url-fetch)
17039 (uri (bioconductor-uri "BioNERO" version))
17040 (sha256
17041 (base32
17042 "0dsznfnhidbmf52rv8l26f1ms2k9yy4q4c6cf3x8ylc79c1sjrcp"))))
17043 (properties `((upstream-name . "BioNERO")))
17044 (build-system r-build-system)
17045 (propagated-inputs
17046 (list r-biocparallel
17047 r-complexheatmap
17048 r-dynamictreecut
17049 r-genie3
17050 r-ggnetwork
17051 r-ggnewscale
17052 r-ggplot2
17053 r-ggrepel
17054 r-igraph
17055 r-intergraph
17056 r-matrixstats
17057 r-minet
17058 r-netrep
17059 r-networkd3
17060 r-patchwork
17061 r-rcolorbrewer
17062 r-reshape2
17063 r-summarizedexperiment
17064 r-sva
17065 r-wgcna))
17066 (native-inputs
17067 (list r-knitr))
17068 (home-page "https://github.com/almeidasilvaf/BioNERO")
17069 (synopsis "Biological network reconstruction omnibus")
17070 (description
17071 "BioNERO aims to integrate all aspects of biological network inference in
17072 a single package, including data preprocessing, exploratory analyses, network
17073 inference, and analyses for biological interpretations. BioNERO can be used
17074 to infer gene coexpression networks (GCNs) and gene regulatory networks (GRNs)
17075 from gene expression data. Additionally, it can be used to explore
17076 topological properties of protein-protein interaction (PPI) networks. GCN
17077 inference relies on the popular WGCNA algorithm. GRN inference is based on
17078 the \"wisdom of the crowds\" principle, which consists in inferring GRNs with
17079 multiple algorithms (here, CLR, GENIE3 and ARACNE) and calculating the average
17080 rank for each interaction pair. As all steps of network analyses are included
17081 in this package, BioNERO makes users avoid having to learn the syntaxes of
17082 several packages and how to communicate between them. Finally, users can also
17083 identify consensus modules across independent expression sets and calculate
17084 intra and interspecies module preservation statistics between different
17085 networks.")
17086 (license license:gpl3)))
17087
17088 (define-public r-bionet
17089 (package
17090 (name "r-bionet")
17091 (version "1.56.0")
17092 (source
17093 (origin
17094 (method url-fetch)
17095 (uri (bioconductor-uri "BioNet" version))
17096 (sha256
17097 (base32
17098 "0kcw71j4nmdkn373wk21ak6h0v4gycivnfrklb72kk1qcmsy1wrm"))))
17099 (properties `((upstream-name . "BioNet")))
17100 (build-system r-build-system)
17101 (propagated-inputs
17102 (list r-annotationdbi r-biobase r-graph r-igraph r-rbgl))
17103 (home-page "http://bioconductor.org/packages/release/bioc/html/BioNet.html")
17104 (synopsis "Functional analysis of biological networks")
17105 (description
17106 "This package provides functions for the integrated analysis of
17107 protein-protein interaction networks and the detection of functional modules.
17108 Different datasets can be integrated into the network by assigning p-values of
17109 statistical tests to the nodes of the network. E.g. p-values obtained from
17110 the differential expression of the genes from an Affymetrix array are assigned
17111 to the nodes of the network. By fitting a beta-uniform mixture model and
17112 calculating scores from the p-values, overall scores of network regions can be
17113 calculated and an integer linear programming algorithm identifies the maximum
17114 scoring subnetwork.")
17115 (license license:gpl2+)))
17116
17117 (define-public r-bionetstat
17118 (package
17119 (name "r-bionetstat")
17120 (version "1.16.1")
17121 (source
17122 (origin
17123 (method url-fetch)
17124 (uri (bioconductor-uri "BioNetStat" version))
17125 (sha256
17126 (base32
17127 "0zs6pymvxb95sji0rnnzaz3whj7hsvj2kl4n4gzj7w1q0prbfpb2"))))
17128 (properties `((upstream-name . "BioNetStat")))
17129 (build-system r-build-system)
17130 (propagated-inputs
17131 (list r-biocparallel
17132 r-dt
17133 r-ggplot2
17134 r-hmisc
17135 r-igraph
17136 r-knitr
17137 r-markdown
17138 r-pathview
17139 r-pheatmap
17140 r-plyr
17141 r-psych
17142 r-rcolorbrewer
17143 r-rjsonio
17144 r-rmarkdown
17145 r-shiny
17146 r-shinybs
17147 r-whisker
17148 r-yaml))
17149 (native-inputs
17150 (list r-knitr))
17151 (home-page "https://github.com/jardimViniciusC/BioNetStat")
17152 (synopsis "Biological network analysis")
17153 (description
17154 "This package provides a package to perform differential network
17155 analysis, differential node analysis (differential coexpression analysis),
17156 network and metabolic pathways view.")
17157 (license license:gpl3+)))
17158
17159 (define-public r-bioqc
17160 (package
17161 (name "r-bioqc")
17162 (version "1.24.0")
17163 (source
17164 (origin
17165 (method url-fetch)
17166 (uri (bioconductor-uri "BioQC" version))
17167 (sha256
17168 (base32
17169 "0vb2nnzqvyv25pw8qshcmijravswafg0858pkgqjgiv7wsr2mn3m"))))
17170 (properties `((upstream-name . "BioQC")))
17171 (build-system r-build-system)
17172 (propagated-inputs
17173 (list r-biobase r-edger r-rcpp))
17174 (native-inputs
17175 (list r-knitr))
17176 (home-page "https://accio.github.io/BioQC/")
17177 (synopsis "Detect tissue heterogeneity in expression profiles with gene sets")
17178 (description
17179 "BioQC performs quality control of high-throughput expression data based
17180 on tissue gene signatures. It can detect tissue heterogeneity in gene
17181 expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is
17182 optimised for high performance.")
17183 (license license:gpl3+)))
17184
17185 (define-public r-biotip
17186 (package
17187 (name "r-biotip")
17188 (version "1.10.0")
17189 (source
17190 (origin
17191 (method url-fetch)
17192 (uri (bioconductor-uri "BioTIP" version))
17193 (sha256
17194 (base32
17195 "1sihi5zy7mlabh3ix1wvdqz8ibfq1avl8bnxjhvxyzq40zbcklh6"))))
17196 (properties `((upstream-name . "BioTIP")))
17197 (build-system r-build-system)
17198 (propagated-inputs
17199 (list r-cluster
17200 r-genomicranges
17201 r-igraph
17202 r-mass
17203 r-psych
17204 r-scran
17205 r-stringr))
17206 (native-inputs
17207 (list r-knitr))
17208 (home-page "https://github.com/xyang2uchicago/BioTIP")
17209 (synopsis "R package for characterization of biological tipping-point")
17210 (description
17211 "This package adopts tipping-point theory to transcriptome profiles to
17212 help unravel disease regulatory trajectory.")
17213 (license license:gpl2)))
17214
17215 (define-public r-biotmle
17216 (package
17217 (name "r-biotmle")
17218 (version "1.20.0")
17219 (source
17220 (origin
17221 (method url-fetch)
17222 (uri (bioconductor-uri "biotmle" version))
17223 (sha256
17224 (base32
17225 "1frig90krvfdk6nwpmslpj0pvligyzwzfwwci7hzwcmbglk5jj22"))))
17226 (properties `((upstream-name . "biotmle")))
17227 (build-system r-build-system)
17228 (propagated-inputs
17229 (list r-assertthat
17230 r-biocgenerics
17231 r-biocparallel
17232 r-dplyr
17233 r-drtmle
17234 r-ggplot2
17235 r-ggsci
17236 r-limma
17237 r-s4vectors
17238 r-summarizedexperiment
17239 r-superheat
17240 r-tibble))
17241 (native-inputs
17242 (list r-knitr))
17243 (home-page "https://code.nimahejazi.org/biotmle/")
17244 (synopsis "Targeted learning with moderated statistics for biomarker discovery")
17245 (description
17246 "This package provides tools for differential expression biomarker
17247 discovery based on microarray and next-generation sequencing data that
17248 leverage efficient semiparametric estimators of the average treatment effect
17249 for variable importance analysis. Estimation and inference of the (marginal)
17250 average treatment effects of potential biomarkers are computed by targeted
17251 minimum loss-based estimation, with joint, stable inference constructed across
17252 all biomarkers using a generalization of moderated statistics for use with the
17253 estimated efficient influence function. The procedure accommodates the use of
17254 ensemble machine learning for the estimation of nuisance functions.")
17255 (license license:expat)))
17256
17257 (define-public r-bsseq
17258 (package
17259 (name "r-bsseq")
17260 (version "1.32.0")
17261 (source
17262 (origin
17263 (method url-fetch)
17264 (uri (bioconductor-uri "bsseq" version))
17265 (sha256
17266 (base32
17267 "1jpfib2vb6hd7pgh3d33jgch24lba175zmbalwsbgvlmmyyf1ki5"))))
17268 (properties `((upstream-name . "bsseq")))
17269 (build-system r-build-system)
17270 (propagated-inputs
17271 (list r-beachmat
17272 r-biobase
17273 r-biocgenerics
17274 r-biocparallel
17275 r-biostrings
17276 r-bsgenome
17277 r-data-table
17278 r-delayedarray
17279 r-delayedmatrixstats
17280 r-genomeinfodb
17281 r-genomicranges
17282 r-gtools
17283 r-hdf5array
17284 r-iranges
17285 r-limma
17286 r-locfit
17287 r-permute
17288 r-r-utils
17289 r-rcpp
17290 r-rhdf5
17291 r-s4vectors
17292 r-scales
17293 r-summarizedexperiment))
17294 (native-inputs
17295 (list r-knitr))
17296 (home-page "https://github.com/hansenlab/bsseq")
17297 (synopsis "Analyze, manage and store bisulfite sequencing data")
17298 (description
17299 "This package provides a collection of tools for analyzing and
17300 visualizing bisulfite sequencing data.")
17301 (license license:artistic2.0)))
17302
17303 (define-public r-dada2
17304 (package
17305 (name "r-dada2")
17306 (version "1.24.0")
17307 (source (origin
17308 (method url-fetch)
17309 (uri (bioconductor-uri "dada2" version))
17310 (sha256
17311 (base32
17312 "0nvjnmcjh0i660y8s3rh9b3zl163wxdx7qm2n36m6vf0iy987l4x"))))
17313 (properties `((upstream-name . "dada2")))
17314 (build-system r-build-system)
17315 (propagated-inputs
17316 (list r-biocgenerics
17317 r-biostrings
17318 r-ggplot2
17319 r-iranges
17320 r-rcpp
17321 r-rcppparallel
17322 r-reshape2
17323 r-shortread
17324 r-xvector))
17325 (native-inputs (list r-knitr))
17326 (home-page "https://benjjneb.github.io/dada2/")
17327 (synopsis
17328 "Accurate, high-resolution sample inference from amplicon sequencing data")
17329 (description
17330 "The dada2 package infers exact @dfn{amplicon sequence variants} (ASVs)
17331 from high-throughput amplicon sequencing data, replacing the coarser and less
17332 accurate OTU clustering approach. The dada2 pipeline takes as input
17333 demultiplexed fastq files, and outputs the sequence variants and their
17334 sample-wise abundances after removing substitution and chimera errors.
17335 Taxonomic classification is available via a native implementation of the RDP
17336 naive Bayesian classifier, and species-level assignment to 16S rRNA gene
17337 fragments by exact matching.")
17338 (license license:lgpl2.0)))
17339
17340 (define-public r-dmrseq
17341 (package
17342 (name "r-dmrseq")
17343 (version "1.16.0")
17344 (source
17345 (origin
17346 (method url-fetch)
17347 (uri (bioconductor-uri "dmrseq" version))
17348 (sha256
17349 (base32
17350 "1c99l62fi26bnbvpzrlsvvs722za0l5vfhddcrhzzzasabhccb4n"))))
17351 (properties `((upstream-name . "dmrseq")))
17352 (build-system r-build-system)
17353 (propagated-inputs
17354 (list r-annotationhub
17355 r-annotatr
17356 r-biocparallel
17357 r-bsseq
17358 r-bumphunter
17359 r-delayedmatrixstats
17360 r-genomeinfodb
17361 r-genomicranges
17362 r-ggplot2
17363 r-iranges
17364 r-locfit
17365 r-matrixstats
17366 r-nlme
17367 r-outliers
17368 r-rcolorbrewer
17369 r-rtracklayer
17370 r-s4vectors))
17371 (native-inputs
17372 (list r-knitr))
17373 (home-page "https://bioconductor.org/packages/dmrseq")
17374 (synopsis "Detection and inference of differentially methylated regions")
17375 (description
17376 "This package implements an approach for scanning the genome to detect
17377 and perform accurate inference on differentially methylated regions from Whole
17378 Genome Bisulfite Sequencing data. The method is based on comparing detected
17379 regions to a pooled null distribution, that can be implemented even when as
17380 few as two samples per population are available. Region-level statistics are
17381 obtained by fitting a @dfn{generalized least squares} (GLS) regression model
17382 with a nested autoregressive correlated error structure for the effect of
17383 interest on transformed methylation proportions.")
17384 (license license:expat)))
17385
17386 (define-public r-omicade4
17387 (package
17388 (name "r-omicade4")
17389 (version "1.36.0")
17390 (source (origin
17391 (method url-fetch)
17392 (uri (bioconductor-uri "omicade4" version))
17393 (sha256
17394 (base32
17395 "1l7w3sczsimg640klq8navgdcwjj090wjqd40n4mw76pny2xj2lj"))))
17396 (properties `((upstream-name . "omicade4")))
17397 (build-system r-build-system)
17398 (propagated-inputs (list r-ade4 r-biobase r-made4))
17399 (home-page "https://bioconductor.org/packages/omicade4")
17400 (synopsis "Multiple co-inertia analysis of omics datasets")
17401 (description
17402 "This package performes multiple co-inertia analysis of omics datasets.")
17403 (license license:gpl2)))
17404
17405 (define-public r-omnipathr
17406 (package
17407 (name "r-omnipathr")
17408 (version "3.4.0")
17409 (source
17410 (origin
17411 (method url-fetch)
17412 (uri (bioconductor-uri "OmnipathR" version))
17413 (sha256
17414 (base32 "0vk0fv09j3ql78mzzhdxwxb2b83qqdz2qfd8wpp1vydmcx2vvgni"))))
17415 (properties `((upstream-name . "OmnipathR")))
17416 (build-system r-build-system)
17417 (arguments
17418 `(#:phases
17419 (modify-phases %standard-phases
17420 (add-after 'unpack 'set-HOME
17421 (lambda _ (setenv "HOME" "/tmp"))))))
17422 (propagated-inputs
17423 (list r-checkmate
17424 r-crayon
17425 r-curl
17426 r-digest
17427 r-dplyr
17428 r-httr
17429 r-igraph
17430 r-jsonlite
17431 r-later
17432 r-logger
17433 r-magrittr
17434 r-progress
17435 r-purrr
17436 r-rappdirs
17437 r-readr
17438 r-readxl
17439 r-rlang
17440 r-stringr
17441 r-tibble
17442 r-tidyr
17443 r-tidyselect
17444 r-withr
17445 r-xml2
17446 r-yaml))
17447 (native-inputs (list r-knitr))
17448 (home-page "https://saezlab.github.io/OmnipathR/")
17449 (synopsis "OmniPath web service client and more")
17450 (description
17451 "This package provides a client for the OmniPath web service and many
17452 other resources. It also includes functions to transform and pretty print
17453 some of the downloaded data, functions to access a number of other resources.
17454 Furthermore, OmnipathR features a close integration with the NicheNet method
17455 for ligand activity prediction from transcriptomics data.")
17456 (license license:expat)))
17457
17458 (define-public r-biscuiteer
17459 (package
17460 (name "r-biscuiteer")
17461 (version "1.10.0")
17462 (source
17463 (origin
17464 (method url-fetch)
17465 (uri (bioconductor-uri "biscuiteer" version))
17466 (sha256
17467 (base32
17468 "0y7vbdaafiga16yr0d22w1v4p0jmczndcar0r0km06f5y1b74amr"))))
17469 (properties `((upstream-name . "biscuiteer")))
17470 (build-system r-build-system)
17471 (propagated-inputs
17472 (list r-biobase
17473 r-biocgenerics
17474 r-biocparallel
17475 r-biscuiteerdata
17476 r-bsseq
17477 r-data-table
17478 r-delayedmatrixstats
17479 r-dmrseq
17480 r-genomeinfodb
17481 r-genomicranges
17482 r-gtools
17483 r-hdf5array
17484 r-homo-sapiens
17485 r-impute
17486 r-iranges
17487 r-matrix
17488 r-matrixstats
17489 r-mus-musculus
17490 r-qdnaseq
17491 r-qualv
17492 r-r-utils
17493 r-readr
17494 r-rsamtools
17495 r-rtracklayer
17496 r-s4vectors
17497 r-summarizedexperiment
17498 r-variantannotation))
17499 (native-inputs
17500 (list r-knitr))
17501 (home-page "https://github.com/trichelab/biscuiteer")
17502 (synopsis "Convenience functions for the Biscuit package")
17503 (description
17504 "This package provides a test harness for bsseq loading of Biscuit
17505 output, summarization of WGBS data over defined regions and in mappable
17506 samples, with or without imputation, dropping of mostly-NA rows, age
17507 estimates, etc.")
17508 (license license:gpl3)))
17509
17510 (define-public r-tcgabiolinks
17511 (package
17512 (name "r-tcgabiolinks")
17513 (version "2.24.3")
17514 (source
17515 (origin
17516 (method url-fetch)
17517 (uri (bioconductor-uri "TCGAbiolinks" version))
17518 (sha256
17519 (base32 "0visvfhzaf0p1rb5vjkmw1c91zfxpks8nl9nbl9xlnpm8lkmmkms"))))
17520 (properties `((upstream-name . "TCGAbiolinks")))
17521 (build-system r-build-system)
17522 (propagated-inputs
17523 (list r-biomart
17524 r-data-table
17525 r-downloader
17526 r-dplyr
17527 r-genomicranges
17528 r-ggplot2
17529 r-httr
17530 r-iranges
17531 r-jsonlite
17532 r-knitr
17533 r-plyr
17534 r-purrr
17535 r-r-utils
17536 r-readr
17537 r-rvest
17538 r-s4vectors
17539 r-stringr
17540 r-summarizedexperiment
17541 r-tcgabiolinksgui-data
17542 r-tibble
17543 r-tidyr
17544 r-xml
17545 r-xml2))
17546 (native-inputs (list r-knitr))
17547 (home-page "https://github.com/BioinformaticsFMRP/TCGAbiolinks")
17548 (synopsis "Integrative analysis with GDC data")
17549 (description
17550 "The aim of TCGAbiolinks is:
17551
17552 @enumerate
17553 @item facilitate GDC open-access data retrieval;
17554 @item prepare the data using the appropriate pre-processing strategies;
17555 @item provide the means to carry out different standard analyses, and;
17556 @item to easily reproduce earlier research results.
17557 @end enumerate
17558
17559 In more detail, the package provides multiple methods for analysis (e.g.,
17560 differential expression analysis, identifying differentially methylated
17561 regions) and methods for visualization (e.g., survival plots, volcano plots,
17562 starburst plots) in order to easily develop complete analysis pipelines.")
17563 (license license:gpl3+)))
17564
17565 (define-public r-tricycle
17566 (package
17567 (name "r-tricycle")
17568 (version "1.4.0")
17569 (source (origin
17570 (method url-fetch)
17571 (uri (bioconductor-uri "tricycle" version))
17572 (sha256
17573 (base32
17574 "0bjkajcz6xcfak6071d0ihakrvgf7s0pmkn6vqkjd6yxbfld7zln"))))
17575 (properties `((upstream-name . "tricycle")))
17576 (build-system r-build-system)
17577 (propagated-inputs
17578 (list r-annotationdbi
17579 r-circular
17580 r-dplyr
17581 r-genomicranges
17582 r-ggnewscale
17583 r-ggplot2
17584 r-iranges
17585 r-rcolorbrewer
17586 r-s4vectors
17587 r-scater
17588 r-scattermore
17589 r-singlecellexperiment
17590 r-summarizedexperiment))
17591 (native-inputs (list r-knitr))
17592 (home-page "https://github.com/hansenlab/tricycle")
17593 (synopsis "Transferable representation and inference of cell cycle")
17594 (description
17595 "The package contains functions to infer and visualize cell cycle process
17596 using Single-cell RNA-Seq data. It exploits the idea of transfer learning,
17597 projecting new data to the previous learned biologically interpretable space.
17598 The @code{tricycle} provides a pre-learned cell cycle space, which could be
17599 used to infer cell cycle time of human and mouse single cell samples. In
17600 addition, it also offer functions to visualize cell cycle time on different
17601 embeddings and functions to build new reference.")
17602 (license license:gpl3)))
17603
17604 (define-public r-tximeta
17605 (package
17606 (name "r-tximeta")
17607 (version "1.14.1")
17608 (source
17609 (origin
17610 (method url-fetch)
17611 (uri (bioconductor-uri "tximeta" version))
17612 (sha256
17613 (base32
17614 "0hxq5lkrdiz0a3xpl88adrv4m55jr6g46a5m9pamc0w4bxddirr8"))))
17615 (properties `((upstream-name . "tximeta")))
17616 (build-system r-build-system)
17617 (propagated-inputs
17618 (list r-annotationdbi
17619 r-annotationhub
17620 r-biocfilecache
17621 r-biostrings
17622 r-ensembldb
17623 r-genomeinfodb
17624 r-genomicfeatures
17625 r-genomicranges
17626 r-iranges
17627 r-jsonlite
17628 r-matrix
17629 r-s4vectors
17630 r-summarizedexperiment
17631 r-tibble
17632 r-tximport))
17633 (native-inputs
17634 (list r-knitr))
17635 (home-page "https://github.com/mikelove/tximeta")
17636 (synopsis "Transcript quantification import with automatic metadata")
17637 (description
17638 "This package implements transcript quantification import from Salmon and
17639 alevin with automatic attachment of transcript ranges and release information,
17640 and other associated metadata. De novo transcriptomes can be linked to the
17641 appropriate sources with linkedTxomes and shared for computational
17642 reproducibility.")
17643 (license license:gpl2)))
17644
17645 (define-public r-phyloseq
17646 (package
17647 (name "r-phyloseq")
17648 (version "1.40.0")
17649 (source
17650 (origin
17651 (method url-fetch)
17652 (uri (bioconductor-uri "phyloseq" version))
17653 (sha256
17654 (base32 "0hcyv4ziyaw74mc9vf7bad3q9izi9p0whg3hspbs6w8b3hp34y2k"))))
17655 (properties `((upstream-name . "phyloseq")))
17656 (build-system r-build-system)
17657 (propagated-inputs
17658 (list r-ade4
17659 r-ape
17660 r-biobase
17661 r-biocgenerics
17662 r-biomformat
17663 r-biostrings
17664 r-cluster
17665 r-data-table
17666 r-foreach
17667 r-ggplot2
17668 r-igraph
17669 r-multtest
17670 r-plyr
17671 r-reshape2
17672 r-scales
17673 r-vegan))
17674 (native-inputs
17675 (list r-knitr))
17676 (home-page "https://github.com/joey711/phyloseq")
17677 (synopsis "Handling and analysis of high-throughput microbiome census data")
17678 (description
17679 "Phyloseq provides a set of classes and tools to facilitate the import,
17680 storage, analysis, and graphical display of microbiome census data.")
17681 (license license:agpl3)))
17682
17683 ;;;
17684 ;;; Avoid adding new packages to the end of this file. To reduce the chances
17685 ;;; of a merge conflict, place them above by existing packages with similar
17686 ;;; functionality or similar names.
17687 ;;;