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author | zimoun <zimon.toutoune@gmail.com> | 2021-05-21 22:25:53 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2021-05-31 15:37:58 +0200 |
commit | 32ae36e96f9b076901af94c723e3d156595d5bc5 (patch) | |
tree | 7d2befbe851bffff9285343af3e771507ac1a265 /gnu/packages/bioinformatics.scm | |
parent | 9644745692aa2407e66f2ce4671356c3231c462d (diff) | |
download | guix-patches-32ae36e96f9b076901af94c723e3d156595d5bc5.tar guix-patches-32ae36e96f9b076901af94c723e3d156595d5bc5.tar.gz |
gnu: r-fastseg: Move to (gnu packages bioconductor).
* gnu/packages/bioinformatics.scm (r-fastseg): Move from here...
* gnu/packages/bioconductor.scm (r-fastseg): ...to here.
Diffstat (limited to 'gnu/packages/bioinformatics.scm')
-rw-r--r-- | gnu/packages/bioinformatics.scm | 30 |
1 files changed, 0 insertions, 30 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index 104a37acaa..54c3945489 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -9196,36 +9196,6 @@ their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.") (license license:artistic2.0))) -(define-public r-fastseg - (package - (name "r-fastseg") - (version "1.36.0") - (source - (origin - (method url-fetch) - (uri (bioconductor-uri "fastseg" version)) - (sha256 - (base32 - "1ln6w93ag4wanp0nrm0pqngbfc88w95zq2kcj583hbxy885dkg4f")))) - (build-system r-build-system) - (propagated-inputs - `(("r-biobase" ,r-biobase) - ("r-biocgenerics" ,r-biocgenerics) - ("r-genomicranges" ,r-genomicranges) - ("r-iranges" ,r-iranges) - ("r-s4vectors" ,r-s4vectors))) - (home-page "https://www.bioinf.jku.at/software/fastseg/index.html") - (synopsis "Fast segmentation algorithm for genetic sequencing data") - (description - "Fastseg implements a very fast and efficient segmentation algorithm. -It can segment data from DNA microarrays and data from next generation -sequencing for example to detect copy number segments. Further it can segment -data from RNA microarrays like tiling arrays to identify transcripts. Most -generally, it can segment data given as a matrix or as a vector. Various data -formats can be used as input to fastseg like expression set objects for -microarrays or GRanges for sequencing data.") - (license license:lgpl2.0+))) - (define-public r-keggrest (package (name "r-keggrest") |