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authorNavid Afkhami <navid.afkhami@mdc-berlin.de>2023-03-10 16:16:12 +0000
committerRicardo Wurmus <rekado@elephly.net>2023-03-10 17:47:24 +0100
commitf7682c247504d252cf86b274ffe7b8f62670b497 (patch)
tree76d38c9d0e4d04ae77548520fa65a76a208035b6 /gnu/packages
parentf437b1118014b813b7c6cf8b9b0deb87108b807e (diff)
downloadguix-f7682c247504d252cf86b274ffe7b8f62670b497.tar.gz
guix-f7682c247504d252cf86b274ffe7b8f62670b497.zip
gnu: Add r-hdcytodata.
* gnu/packages/bioconductor.scm (r-hdcytodata): New variable. Co-authored-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu/packages')
-rw-r--r--gnu/packages/bioconductor.scm41
1 files changed, 41 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index d603bd42c1..5ed8eda3b9 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -1482,6 +1482,47 @@ genomation package. Included are Chip Seq, Methylation and Cage data,
downloaded from Encode.")
(license license:gpl3+)))
+(define-public r-hdcytodata
+ (package
+ (name "r-hdcytodata")
+ (version "1.18.0")
+ (source (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "HDCytoData" version 'experiment))
+ (sha256
+ (base32
+ "1fn8q6ds10z3ymdarkfyh88pcqnrry9yhzammp84vf86f0bl8mrc"))))
+ (properties `((upstream-name . "HDCytoData")))
+ (build-system r-build-system)
+ (arguments
+ (list
+ #:phases
+ '(modify-phases %standard-phases
+ (add-after 'unpack 'set-HOME
+ (lambda _
+ (setenv "HOME" "/tmp")))
+ (add-after 'unpack 'avoid-internet-access
+ (lambda _
+ (setenv "GUIX_BUILD" "yes")
+ (substitute* "R/zzz.R"
+ (("createHubAccessors.*" m)
+ (string-append
+ "if (Sys.getenv(\"GUIX_BUILD\") == \"\") {" m "}"))))))))
+ (propagated-inputs
+ (list r-experimenthub r-flowcore r-summarizedexperiment))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/lmweber/HDCytoData")
+ (synopsis
+ "Set of high-dimensional flow cytometry and mass cytometry benchmark datasets")
+ (description
+ "HDCytoData contains a set of high-dimensional cytometry benchmark
+datasets. These datasets are formatted into SummarizedExperiment and flowSet
+Bioconductor object formats, including all required metadata. Row metadata
+includes sample IDs, group IDs, patient IDs, reference cell population or
+cluster labels and labels identifying spiked in cells. Column metadata
+includes channel names, protein marker names, and protein marker classes.")
+ (license license:expat)))
+
(define-public r-italicsdata
(package
(name "r-italicsdata")