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author | Ricardo Wurmus <rekado@elephly.net> | 2019-09-15 20:42:41 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-09-15 20:42:41 +0200 |
commit | 853211a51b63315b096c98371618eec243feae38 (patch) | |
tree | 123559ff6d6e20117ca5135f78a5a5a8ad042055 /gnu | |
parent | 739b2d10f0701f0df9a6cae411e02376d3e23813 (diff) | |
download | guix-853211a51b63315b096c98371618eec243feae38.tar guix-853211a51b63315b096c98371618eec243feae38.tar.gz |
gnu: Add r-timeseriesexperiment.
* gnu/packages/bioconductor.scm (r-timeseriesexperiment): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/bioconductor.scm | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index baa1f71524..b458c62dbc 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -5505,3 +5505,42 @@ computing. While wavClusteR was designed for PAR-CLIP data analysis, it can be applied to the analysis of other NGS data obtained from experimental procedures that induce nucleotide substitutions (e.g. BisSeq).") (license license:gpl2))) + +(define-public r-timeseriesexperiment + (package + (name "r-timeseriesexperiment") + (version "1.2.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "TimeSeriesExperiment" version)) + (sha256 + (base32 + "1j11g7a2p0yk38fx6wd6152l1xynghj01pfxihalw601jwf1bl0y")))) + (properties + `((upstream-name . "TimeSeriesExperiment"))) + (build-system r-build-system) + (propagated-inputs + `(("r-deseq2" ,r-deseq2) + ("r-dplyr" ,r-dplyr) + ("r-dynamictreecut" ,r-dynamictreecut) + ("r-edger" ,r-edger) + ("r-ggplot2" ,r-ggplot2) + ("r-hmisc" ,r-hmisc) + ("r-limma" ,r-limma) + ("r-magrittr" ,r-magrittr) + ("r-proxy" ,r-proxy) + ("r-s4vectors" ,r-s4vectors) + ("r-summarizedexperiment" ,r-summarizedexperiment) + ("r-tibble" ,r-tibble) + ("r-tidyr" ,r-tidyr) + ("r-vegan" ,r-vegan) + ("r-viridis" ,r-viridis))) + (home-page "https://github.com/nlhuong/TimeSeriesExperiment/") + (synopsis "Analysis for short time-series data") + (description + "This package is a visualization and analysis toolbox for short time +course data which includes dimensionality reduction, clustering, two-sample +differential expression testing and gene ranking techniques. The package also +provides methods for retrieving enriched pathways.") + (license license:lgpl3+))) |