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05/05: gnu: Add r-barcodetrackr.


From: guix-commits
Subject: 05/05: gnu: Add r-barcodetrackr.
Date: Thu, 27 Oct 2022 10:00:31 -0400 (EDT)

rekado pushed a commit to branch master
in repository guix.

commit 38cc09493c59da72b2858a3ee0bd5443b5e7af52
Author: Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de>
AuthorDate: Tue Jun 28 17:00:44 2022 +0200

    gnu: Add r-barcodetrackr.
    
    * gnu/packages/bioconductor.scm (r-barcodetrackr): New variable.
---
 gnu/packages/bioconductor.scm | 42 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)

diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index c7d759d15b..65f4debbac 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -2564,6 +2564,48 @@ using a Bayesian model coded with @code{rstan}.  It 
provides as output the
 estimates for each correlation element.")
     (license license:expat)))
 
+(define-public r-barcodetrackr
+  (package
+    (name "r-barcodetrackr")
+    (version "1.4.0")
+    (source (origin
+              (method url-fetch)
+              (uri (bioconductor-uri "barcodetrackR" version))
+              (sha256
+               (base32
+                "0yxa15xkgqazw31vq4wm8v747bw4qb18m6i602pvynk0n5bgg3d3"))))
+    (properties `((upstream-name . "barcodetrackR")))
+    (build-system r-build-system)
+    (propagated-inputs
+     (list r-circlize
+           r-cowplot
+           r-dplyr
+           r-ggdendro
+           r-ggplot2
+           r-ggridges
+           r-magrittr
+           r-plyr
+           r-proxy
+           r-rcolorbrewer
+           r-rlang
+           r-s4vectors
+           r-scales
+           r-shiny
+           r-summarizedexperiment
+           r-tibble
+           r-tidyr
+           r-vegan
+           r-viridis))
+    (native-inputs (list r-knitr))
+    (home-page "https://github.com/dunbarlabNIH/barcodetrackR";)
+    (synopsis "Functions for analyzing cellular barcoding data")
+    (description
+     "This package is developed for the analysis and visualization of clonal
+tracking data.  The required data is formed by samples and tag abundances in
+matrix form, usually from cellular barcoding experiments, integration site
+retrieval analyses, or similar technologies.")
+    (license license:cc0)))
+
 (define-public r-biocversion
   (package
     (name "r-biocversion")



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