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| author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2021-10-30 17:55:06 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2021-11-27 10:36:27 +0100 |
| commit | aa2aaa65ced146fa62641dae6370fd3dd2548492 (patch) | |
| tree | 1fc042e9d9ffda3ad173078aedbf7eac23c7d8d2 | |
| parent | c96d8ce7208ea032383811b9b79dc57ce0e3ba07 (diff) | |
| download | guix-aa2aaa65ced146fa62641dae6370fd3dd2548492.tar.gz | |
gnu: Add r-xina.
* gnu/packages/bioconductor.scm (r-xina): New variable. Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
| -rw-r--r-- | gnu/packages/bioconductor.scm | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 527e549bc6..80c264dfcd 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -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") |