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authorMădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de>2022-08-22 12:59:41 +0200
committerGuix Patches Tester <>2022-08-22 12:02:25 +0100
commit3009c1cd864d0f8cba7ad3a991595d52900a008a (patch)
tree60b4d767cb60df02be51d45717a090c01e64e232
parentb8f2eb286ec52c97048e23d326d94ae5772797e8 (diff)
downloadguix-patches-3009c1cd864d0f8cba7ad3a991595d52900a008a.tar
guix-patches-3009c1cd864d0f8cba7ad3a991595d52900a008a.tar.gz
gnu: Add r-pcaexplorer.
* gnu/packages/bioconductor.scm (r-pcaexplorer): New variable.
-rw-r--r--gnu/packages/bioconductor.scm55
1 files changed, 55 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index 7d2ca413e9..cfcad75001 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -5049,6 +5049,61 @@ annotation packages each of which has its own schema by taking advantage of
the fact that each of these packages implements a select methods.")
(license license:artistic2.0)))
+(define-public r-pcaexplorer
+ (package
+ (name "r-pcaexplorer")
+ (version "2.22.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "pcaExplorer" version))
+ (sha256
+ (base32
+ "0xkafpi6y5n8hljdaj183hd5z4ik7lpbklg2cbx1hwfz4n4hh1bl"))))
+ (properties `((upstream-name . "pcaExplorer")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-annotationdbi
+ r-base64enc
+ r-biomart
+ r-deseq2
+ r-dt
+ r-genefilter
+ r-genomicranges
+ r-ggplot2
+ r-ggrepel
+ r-go-db
+ r-gostats
+ r-heatmaply
+ r-iranges
+ r-knitr
+ r-limma
+ r-nmf
+ r-pheatmap
+ r-plotly
+ r-plyr
+ r-rmarkdown
+ r-s4vectors
+ r-scales
+ r-shiny
+ r-shinyace
+ r-shinybs
+ r-shinydashboard
+ r-summarizedexperiment
+ r-threejs
+ r-tidyr
+ r-topgo))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/federicomarini/pcaExplorer")
+ (synopsis
+ "Interactive Visualization of RNA-seq Data Using a Principal Components Approach")
+ (description
+ "This package provides functionality for interactive visualization of RNA-seq
+datasets based on Principal Components Analysis. The methods provided allow for
+quick information extraction and effective data exploration. A Shiny
+application encapsulates the whole analysis.")
+ (license license:expat)))
+
(define-public r-pcamethods
(package
(name "r-pcamethods")