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gnu: Add r-xina.

* gnu/packages/bioconductor.scm (r-xina): New variable.

Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
master
Mădălin Ionel Patrașcu 2021-10-30 17:55:06 +02:00 committed by Ricardo Wurmus
parent c96d8ce720
commit aa2aaa65ce
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@ -4695,6 +4695,42 @@ their variance is independent of the mean, and they are usually more sensitive
and specific in detecting differential transcription.")
(license license:artistic2.0)))
(define-public r-xina
(package
(name "r-xina")
(version "1.12.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "XINA" version))
(sha256
(base32 "14j1rn3p7i0rlqkbbg0a6pyhb97ifzvsbw6vfxw9pna7zv7rbhsp"))))
(properties `((upstream-name . "XINA")))
(build-system r-build-system)
(propagated-inputs
`(("r-alluvial" ,r-alluvial)
("r-ggplot2" ,r-ggplot2)
("r-gridextra" ,r-gridextra)
("r-igraph" ,r-igraph)
("r-mclust" ,r-mclust)
("r-plyr" ,r-plyr)
("r-stringdb" ,r-stringdb)))
(native-inputs `(("r-knitr" ,r-knitr)))
(home-page "https://git.bioconductor.org/packages/XINA")
(synopsis "Identifying proteins that exhibit similar patterns")
(description
"The aim of @code{XINA} is to determine which proteins exhibit similar
patterns within and across experimental conditions, since proteins with
co-abundance patterns may have common molecular functions. @code{XINA} imports
multiple datasets, tags dataset in silico, and combines the data for subsequent
subgrouping into multiple clusters. The result is a single output depicting
the variation across all conditions. @code{XINA} not only extracts
coabundance profiles within and across experiments, but also incorporates
protein-protein interaction databases and integrative resources such as
@dfn{Kyoto encyclopedia of genes and genomes} (KEGG) to infer interactors and
molecular functions, respectively, and produces intuitive graphical outputs.")
(license license:gpl3)))
(define-public r-xvector
(package
(name "r-xvector")