gnu: Add r-atacseqqc.

* gnu/packages/bioconductor.scm (r-atacseqqc): New variable.
This commit is contained in:
Ricardo Wurmus 2019-03-29 15:40:22 +01:00
parent e5bff3079d
commit 32e0f906d7
No known key found for this signature in database
GPG Key ID: 197A5888235FACAC
1 changed files with 44 additions and 0 deletions

View File

@ -3302,3 +3302,47 @@ type and symbol colors.")
"This package provides infrastructure to store and access genome-wide "This package provides infrastructure to store and access genome-wide
position-specific scores within R and Bioconductor.") position-specific scores within R and Bioconductor.")
(license license:artistic2.0))) (license license:artistic2.0)))
(define-public r-atacseqqc
(package
(name "r-atacseqqc")
(version "1.6.4")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "ATACseqQC" version))
(sha256
(base32
"1rblvqar11fib6ip2hq0756vqi6qmncf90jw6i5p5lrgzmaxy8hn"))))
(properties `((upstream-name . "ATACseqQC")))
(build-system r-build-system)
(propagated-inputs
`(("r-biocgenerics" ,r-biocgenerics)
("r-biostrings" ,r-biostrings)
("r-bsgenome" ,r-bsgenome)
("r-chippeakanno" ,r-chippeakanno)
("r-genomeinfodb" ,r-genomeinfodb)
("r-genomicalignments" ,r-genomicalignments)
("r-genomicranges" ,r-genomicranges)
("r-genomicscores" ,r-genomicscores)
("r-iranges" ,r-iranges)
("r-kernsmooth" ,r-kernsmooth)
("r-limma" ,r-limma)
("r-motifstack" ,r-motifstack)
("r-preseqr" ,r-preseqr)
("r-randomforest" ,r-randomforest)
("r-rsamtools" ,r-rsamtools)
("r-rtracklayer" ,r-rtracklayer)
("r-s4vectors" ,r-s4vectors)))
(home-page "https://bioconductor.org/packages/ATACseqQC/")
(synopsis "ATAC-seq quality control")
(description
"ATAC-seq, an assay for Transposase-Accessible Chromatin using
sequencing, is a rapid and sensitive method for chromatin accessibility
analysis. It was developed as an alternative method to MNase-seq, FAIRE-seq
and DNAse-seq. The ATACseqQC package was developed to help users to quickly
assess whether their ATAC-seq experiment is successful. It includes
diagnostic plots of fragment size distribution, proportion of mitochondria
reads, nucleosome positioning pattern, and CTCF or other Transcript Factor
footprints.")
(license license:gpl2+)))