~ruther/guix-local

2b2068a083b8f5fa1436e25277b5373ab45f8bf0 — Navid Afkhami 3 years ago 83fb491
gnu: Add r-demultiplex2.

* gnu/packages/bioinformatics.scm (r-demultiplex2): New variable.

Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
1 files changed, 41 insertions(+), 0 deletions(-)

M gnu/packages/bioinformatics.scm
M gnu/packages/bioinformatics.scm => gnu/packages/bioinformatics.scm +41 -0
@@ 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")