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| author | Navid Afkhami <navid.afkhami@mdc-berlin.de> | 2023-04-16 12:28:12 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-04-17 11:14:30 +0200 |
| commit | 2b2068a083b8f5fa1436e25277b5373ab45f8bf0 (patch) | |
| tree | 555614ecf2e8b3d3c48802cc9dbbf83547b77e81 /gnu/packages/bioinformatics.scm | |
| parent | 83fb491e4458137c09c082830e78eb7526bbd7ec (diff) | |
| download | guix-2b2068a083b8f5fa1436e25277b5373ab45f8bf0.tar guix-2b2068a083b8f5fa1436e25277b5373ab45f8bf0.tar.gz | |
gnu: Add r-demultiplex2.
* gnu/packages/bioinformatics.scm (r-demultiplex2): New variable.
Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu/packages/bioinformatics.scm')
| -rw-r--r-- | gnu/packages/bioinformatics.scm | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 99cc056f9f..2b36539f15 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -9667,6 +9667,47 @@ includes software to ") (license license:cc0)))) +(define-public r-demultiplex2 + (let ((commit "e42bc8310c0ea035af100e6ccea59b46ad6385f5") + (revision "1")) + (package + (name "r-demultiplex2") + (version (git-version "1.0.0" revision commit)) + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/Gartner-Lab/deMULTIplex2") + (commit commit))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "15f3kshsdvm97w24ql9b1wjlfbabimdsam0482hg7jivlvpl8j9w")))) + (properties `((upstream-name . "deMULTIplex2"))) + (build-system r-build-system) + (propagated-inputs (list r-data-table + r-devtools + r-dplyr + r-ggextra + r-ggplot2 + r-gridextra + r-magrittr + r-mass + r-matrix + r-rcolorbrewer + r-shortread + r-stringdist + r-tidyr + r-uwot + r-viridis + r-xvector)) + (home-page "https://github.com/Gartner-Lab/deMULTIplex2") + (synopsis "Robust sample demultiplexing for scRNA-seq") + (description + "This package implements a bioinformatics algorithm for demultiplexing +multiplexed single cell datasets. It is built on a statistical model of tag +read counts derived from the physical mechanism of tag cross-contamination.") + (license license:cc0)))) + (define-public gdc-client (package (name "gdc-client") |