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authorRicardo Wurmus <rekado@elephly.net>2017-01-16 12:21:38 +0100
committerRicardo Wurmus <rekado@elephly.net>2017-01-17 21:46:50 +0100
commit66da3a9f319293f42906117388814b98ddb71b79 (patch)
tree4e3ea5fbfe5b43be8e8679a08ab5150764e2b59a /gnu/packages/bioinformatics.scm
parent11879284cbbcc045029f328b7a20a4af4796cb2c (diff)
downloadpatches-66da3a9f319293f42906117388814b98ddb71b79.tar
patches-66da3a9f319293f42906117388814b98ddb71b79.tar.gz
gnu: Add r-msnid.
* gnu/packages/bioinformatics.scm (r-msnid): New variable.
Diffstat (limited to 'gnu/packages/bioinformatics.scm')
-rw-r--r--gnu/packages/bioinformatics.scm39
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index abe5c92949..c60bedce43 100644
--- a/gnu/packages/bioinformatics.scm
+++ b/gnu/packages/bioinformatics.scm
@@ -8463,3 +8463,42 @@ structure (pcaRes) to provide a common interface to the PCA results.")
"This package provides basic plotting, data manipulation and processing
of MS-based proteomics data.")
(license license:artistic2.0)))
+
+(define-public r-msnid
+ (package
+ (name "r-msnid")
+ (version "1.8.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "MSnID" version))
+ (sha256
+ (base32
+ "0fkk3za39cxi0jyxmagmycjdslr2xf6vg3ylz14jyffqi0blw9d5"))))
+ (properties `((upstream-name . "MSnID")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-biobase" ,r-biobase)
+ ("r-data-table" ,r-data-table)
+ ("r-doparallel" ,r-doparallel)
+ ("r-dplyr" ,r-dplyr)
+ ("r-foreach" ,r-foreach)
+ ("r-iterators" ,r-iterators)
+ ("r-msnbase" ,r-msnbase)
+ ("r-mzid" ,r-mzid)
+ ("r-mzr" ,r-mzr)
+ ("r-protgenerics" ,r-protgenerics)
+ ("r-r-cache" ,r-r-cache)
+ ("r-rcpp" ,r-rcpp)
+ ("r-reshape2" ,r-reshape2)))
+ (home-page "http://bioconductor.org/packages/MSnID")
+ (synopsis "Utilities for LC-MSn proteomics identifications")
+ (description
+ "This package extracts MS/MS ID data from mzIdentML (leveraging the mzID
+package) or text files. After collating the search results from multiple
+datasets it assesses their identification quality and optimize filtering
+criteria to achieve the maximum number of identifications while not exceeding
+a specified false discovery rate. It also contains a number of utilities to
+explore the MS/MS results and assess missed and irregular enzymatic cleavages,
+mass measurement accuracy, etc.")
+ (license license:artistic2.0)))