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author | Ricardo Wurmus <rekado@elephly.net> | 2019-03-29 22:42:19 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-03-30 08:55:46 +0100 |
commit | 50d91770513bb52bd693080661758d8fd6aab89f (patch) | |
tree | 5c4ec4ee81ec49a295f638f9975a94b65c6b2d11 | |
parent | a6e1eb1a96799212815eda7b0408d778b7000022 (diff) | |
download | gnu-guix-50d91770513bb52bd693080661758d8fd6aab89f.tar gnu-guix-50d91770513bb52bd693080661758d8fd6aab89f.tar.gz |
gnu: Add r-xbseq.
* gnu/packages/bioconductor.scm (r-xbseq): New variable.
-rw-r--r-- | gnu/packages/bioconductor.scm | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index d87d9135ff..c276f000b6 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -3943,3 +3943,40 @@ large RNA-seq experiments.") sites, comparing two biological conditions, starting from known alternative sites and alignments obtained from standard RNA-seq experiments.") (license license:gpl3))) + +(define-public r-xbseq + (package + (name "r-xbseq") + (version "1.14.1") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "XBSeq" version)) + (sha256 + (base32 + "0na0jiqfy40bzl243gqc2214k4hibv6v4ndiqwq0c5f78cyr6lph")))) + (properties `((upstream-name . "XBSeq"))) + (build-system r-build-system) + (propagated-inputs + `(("r-biobase" ,r-biobase) + ("r-deseq2" ,r-deseq2) + ("r-dplyr" ,r-dplyr) + ("r-ggplot2" ,r-ggplot2) + ("r-locfit" ,r-locfit) + ("r-magrittr" ,r-magrittr) + ("r-matrixstats" ,r-matrixstats) + ("r-pracma" ,r-pracma) + ("r-roar" ,r-roar))) + (home-page "https://github.com/Liuy12/XBSeq") + (synopsis "Test for differential expression for RNA-seq data") + (description + "XBSeq is a novel algorithm for testing RNA-seq @dfn{differential +expression} (DE), where a statistical model was established based on the +assumption that observed signals are the convolution of true expression +signals and sequencing noises. The mapped reads in non-exonic regions are +considered as sequencing noises, which follows a Poisson distribution. Given +measurable observed signal and background noise from RNA-seq data, true +expression signals, assuming governed by the negative binomial distribution, +can be delineated and thus the accurate detection of differential expressed +genes.") + (license license:gpl3+))) |