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authorMădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de>2022-06-28 17:00:44 +0200
committerRicardo Wurmus <rekado@elephly.net>2022-10-27 15:58:45 +0200
commit38cc09493c59da72b2858a3ee0bd5443b5e7af52 (patch)
tree2586f0c05d583fe79af1f75835eb9674b8784a91 /gnu
parent01944e0eb8a988a4ff26b93e95b3c04ca6935b14 (diff)
downloadguix-38cc09493c59da72b2858a3ee0bd5443b5e7af52.tar.gz
gnu: Add r-barcodetrackr.
* gnu/packages/bioconductor.scm (r-barcodetrackr): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/bioconductor.scm42
1 files changed, 42 insertions, 0 deletions
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")