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author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2022-03-22 11:34:31 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2022-03-29 14:03:44 +0200 |
commit | d710f0195771a48a8c8c22f8da09bdac48efa951 (patch) | |
tree | 1a885f4878a99ba02668def58926ea3455d8bcad /gnu | |
parent | 6d5964e8049b141b447c020e699ecaddc29e28fd (diff) | |
download | guix-d710f0195771a48a8c8c22f8da09bdac48efa951.tar.gz |
gnu: Add r-cytobackbone.
* gnu/packages/bioinformatics.scm (r-cytobackbone): New variable. Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu')
-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 73b9ee6da8..590ada92f9 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -11813,6 +11813,47 @@ distributions. Homotypic doublet proportion estimation is achieved by finding the sum of squared cell annotation frequencies.") (license license:cc0)))) +;; There have been no releases. +(define-public r-cytobackbone + (let ((commit "4c1a0a35cc5ae1f8f516127cec92351d96fe26e7") + (revision "1")) + (package + (name "r-cytobackbone") + (version (git-version "1.0.0" revision commit)) + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/tchitchek-lab/CytoBackBone") + (commit commit))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "0ahiad14zcgdk42xzw5xryic2ibn2l8lkrcdvl2b5sz2js028yb3")))) + (properties `((upstream-name . "CytoBackBone"))) + (build-system r-build-system) + (propagated-inputs + (list r-flowcore + r-flowutils + r-fnn + r-ggplot2 + r-preprocesscore)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/tchitchek-lab/CytoBackBone") + (synopsis "Merge phenotype information from different cytometric profiles") + (description + "This package implements an algorithm which increases the number of +simultaneously measurable markers and in this way helps with study of the +immune responses. Thus, the present algorithm, named @code{CytoBackBone}, +allows combining phenotypic information of cells from different cytometric +profiles obtained from different cytometry panels. This computational +approach is based on the principle that each cell has its own phenotypic and +functional characteristics that can be used as an identification card. +@code{CytoBackBone} uses a set of predefined markers, that we call the +backbone, to define this identification card. The phenotypic information of +cells with similar identification cards in the different cytometric profiles +is then merged.") + (license license:gpl2)))) + (define-public gffread ;; We cannot use the tagged release because it is not in sync with gclib. ;; See https://github.com/gpertea/gffread/issues/26 |