@@ 4765,6 4765,45 @@ regions. GAs can be run sequentially or in parallel, using an explicit
master-slave parallelisation or a coarse-grain islands approach.")
(license license:gpl2+)))
+(define-public r-grandr
+ (package
+ (name "r-grandr")
+ (version "0.2.6")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "grandR" version))
+ (sha256
+ (base32 "058cvcjrqhgm14vyhlm1mdhs3z0kfpjlfc3msadsvlhlb7p676sn"))))
+ (properties `((upstream-name . "grandR")))
+ (build-system r-build-system)
+ (propagated-inputs (list r-cowplot
+ r-ggplot2
+ r-labeling
+ r-lfc
+ r-mass
+ r-matrix
+ r-minpack-lm
+ r-numderiv
+ r-patchwork
+ r-plyr
+ r-rcurl
+ r-reshape2
+ r-rlang
+ r-scales))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/erhard-lab/grandR")
+ (synopsis
+ "Comprehensive analysis of nucleotide conversion sequencing data")
+ (description
+ "Nucleotide conversion sequencing experiments have been developed to add
+a temporal dimension to RNA-seq and single-cell RNA-seq. Such experiments
+require specialized tools for primary processing such as GRAND-SLAM, and
+specialized tools for downstream analyses. @code{grandR} provides a
+comprehensive toolbox for quality control, kinetic modeling, differential gene
+expression analysis and visualization of such data.")
+ (license license:asl2.0)))
+
(define-public r-greg
(package
(name "r-greg")