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| author | Navid Afkhami <navid.afkhami@mdc-berlin.de> | 2023-04-16 12:09:48 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2023-04-17 11:16:30 +0200 |
| commit | b95cd3f969d709a3bf20cf5d176bb9b7c42e7dc8 (patch) | |
| tree | f523ad255230cd50ae58e6494af1537460bb91e2 /gnu | |
| parent | 2b2068a083b8f5fa1436e25277b5373ab45f8bf0 (diff) | |
| download | guix-b95cd3f969d709a3bf20cf5d176bb9b7c42e7dc8.tar.gz | |
gnu: Add r-demuxmix.
* gnu/packages/bioinformatics.scm (r-demuxmix): New variable. Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/bioinformatics.scm | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 2b36539f15..b27e12a5b4 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -9708,6 +9708,37 @@ 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 r-demuxmix + (let ((commit "09a7918ca6e0cd23e6bbaed2b97388bc499e248e") + (revision "1")) + (package + (name "r-demuxmix") + (version (git-version "1.1.1" revision commit)) + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/huklein/demuxmix") + (commit commit))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "03kfnns7m2447jsc3xplyv9qx8hvvdjmii7j837g3bb6smyxss96")))) + (properties `((upstream-name . "demuxmix"))) + (build-system r-build-system) + (propagated-inputs (list r-ggplot2 r-gridextra r-mass r-matrix)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/huklein/demuxmix") + (synopsis + "Demultiplexing oligo-barcoded scRNA-seq data using regression mixture models") + (description + "This package is used for demultiplexing single-cell sequencing +experiments of pooled cells. These cells are labeled with barcode +oligonucleotides. The package implements methods to fit regression mixture +models for a probabilistic classification of cells, including multiplet +detection. Demultiplexing error rates can be estimated, and methods for +quality control are provided.") + (license license:artistic2.0)))) + (define-public gdc-client (package (name "gdc-client") |