gnu: Add r-snprelate.
* gnu/packages/bioconductor.scm (r-snprelate): New variable.
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@ -20025,6 +20025,41 @@ segmented data for individual and multiple arrays.")
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;; Expanded from GPL
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(license (list license:gpl2+ license:gpl3+))))
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(define-public r-snprelate
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(package
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(name "r-snprelate")
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(version "1.34.1")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "SNPRelate" version))
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(sha256
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(base32
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"0js932qvhlwmnrr2jfvsch2zm6w6a1z5wydns3r1bw24r817dlgh"))))
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(properties `((upstream-name . "SNPRelate")))
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(build-system r-build-system)
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(propagated-inputs (list r-gdsfmt))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/zhengxwen/SNPRelate")
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(synopsis
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"Toolset for relatedness and Principal Component Analysis of SNP data")
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(description
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"Genome-wide association studies (GWAS) are widely used to investigate
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the genetic basis of diseases and traits, but they pose many computational
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challenges. The R package SNPRelate provides a binary format for
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single-nucleotide polymorphism (SNP) data in GWAS utilizing CoreArray Genomic
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Data Structure (GDS) data files. The GDS format offers the efficient
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operations specifically designed for integers with two bits, since a SNP could
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occupy only two bits. SNPRelate is also designed to accelerate two key
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computations on SNP data using parallel computing for multi-core symmetric
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multiprocessing computer architectures: Principal Component Analysis (PCA) and
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relatedness analysis using Identity-By-Descent measures. The SNP GDS format
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is also used by the GWASTools package with the support of S4 classes and
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generic functions. The extended GDS format is implemented in the SeqArray
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package to support the storage of single nucleotide variations (SNVs),
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insertion/deletion polymorphism (indel) and structural variation calls in
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whole-genome and whole-exome variant data.")
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(license license:gpl3)))
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(define-public r-snpstats
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(package
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(name "r-snpstats")
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