gnu: Add r-memes.
* gnu/packages/bioconductor.scm (r-memes): New variable. Change-Id: Ibdf5173d35ef81d27da6831148e66be83f856deb Signed-off-by: Ricardo Wurmus <rekado@elephly.net>master
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@ -2092,6 +2092,54 @@ gene expression indicate a role for enhancer priming in immune response\", publi
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in Nature Genetics, January 2018.")
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(license license:gpl2+)))
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;; This is available only in the devel branch of Bioconductor.
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(define-public r-memes
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(let ((commit "55f0df1fe65c8ead5252542fdc0da0ff2339049e")
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(revision "1"))
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(package
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(name "r-memes")
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(version (git-version "1.11.0" revision commit))
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/snystrom/memes")
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(commit commit)))
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(file-name (git-file-name name version))
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(sha256
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(base32 "0mp3a610v293prmyid3w1w8fkjkppjnim60h7p9vz2884d0wdvk4"))))
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(properties `((upstream-name . "memes")))
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(build-system r-build-system)
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(propagated-inputs (list r-biostrings
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r-cmdfun
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r-dplyr
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r-genomicranges
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r-ggplot2
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r-ggseqlogo
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r-magrittr
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r-matrixstats
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r-patchwork
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r-processx
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r-purrr
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r-readr
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r-rlang
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r-tibble
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r-tidyr
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r-universalmotif
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r-usethis
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r-xml2))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/snystrom/memes")
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(synopsis
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"Motif matching, comparison, and de novo discovery using the MEME Suite")
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(description
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"This package facilitates motif analysis using MEME Suite tools.
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Memes provides data aware utilities for using GRanges objects as
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entrypoints to motifanalysis, data structures for examining & editing
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motif lists, and novel data visualizations. Memes functions and data
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structures are amenable to both base R and tidyverse workflows.")
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(license license:expat))))
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(define-public r-methylclockdata
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(package
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(name "r-methylclockdata")
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