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authorAfkhami, Navid <Navid.Afkhami@mdc-berlin.de>2023-10-13 16:14:43 +0000
committerRicardo Wurmus <rekado@elephly.net>2023-10-17 14:25:36 +0200
commit48f9484483a6f5c4a12ac3dc8e8cd1e26df58f9b (patch)
tree3fef97694ab339e7911c2da48200ef5c52f3bd46 /gnu
parent54274a5a3bb5e2f637758d1d8797213d1ebaec20 (diff)
downloadguix-48f9484483a6f5c4a12ac3dc8e8cd1e26df58f9b.tar.gz
guix-48f9484483a6f5c4a12ac3dc8e8cd1e26df58f9b.zip
gnu: Add r-metacell.
* gnu/packages/bioinformatics.scm (r-metacell): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/bioinformatics.scm60
1 files changed, 60 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index cb0bdf766e..45afde699d 100644
--- a/gnu/packages/bioinformatics.scm
+++ b/gnu/packages/bioinformatics.scm
@@ -10285,6 +10285,66 @@ figures. This tool will create clean markdown reports about what you just
discovered.")
(license license:gpl3))))
+(define-public r-metacell
+ (let ((commit "d6a6926d103ee0cb34a611c753572429c94a53d9")
+ (revision "1"))
+ (package
+ (name "r-metacell")
+ (version (git-version "0.3.41" revision commit))
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/tanaylab/metacell/")
+ (commit commit)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32 "0zrsckr3y35x37mj3ibm6scyqx925s84wzrz1i42fnm9n3msc265"))))
+ (properties `((upstream-name . "metacell")))
+ (build-system r-build-system)
+ (propagated-inputs (list r-cluster
+ r-cowplot
+ r-data-table
+ r-dbscan
+ r-domc
+ r-dplyr
+ r-entropy
+ r-ggplot2
+ r-graph
+ r-igraph
+ r-kernsmooth
+ r-magrittr
+ r-matrix
+ r-matrixstats
+ r-pdist
+ r-pheatmap
+ r-plyr
+ r-rcolorbrewer
+ r-rcurl
+ r-rgraphviz
+ r-slam
+ r-singlecellexperiment
+ r-svglite
+ r-tgconfig
+ r-tgstat
+ r-tgutil
+ r-tidyr
+ r-umap
+ r-umap
+ r-zoo))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/tanaylab/metacell/")
+ (synopsis "Meta cell analysis for single cell RNA-seq data")
+ (description
+ "This package facilitates the analysis of single-cell RNA-seq UMI matrices.
+It does this by computing partitions of a cell similarity graph into
+small homogeneous groups of cells, which are defined as metacells (MCs).
+The derived MCs are then used for building different representations of
+the data, allowing matrix or 2D graph visualization forming a basis for
+analysis of cell types, subtypes, transcriptional gradients,cell-cycle
+variation, gene modules and their regulatory models and more.")
+ (license license:expat))))
+
(define-public r-snapatac
(package
(name "r-snapatac")