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@ -5286,6 +5286,44 @@ Friendly and is now the main support package for a new book, \"Discrete Data
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Analysis with R\" by Michael Friendly and David Meyer (2015).")
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(license license:gpl2)))
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(define-public r-vcfr
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(package
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(name "r-vcfr")
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(version "1.12.0")
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(source (origin
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(method url-fetch)
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(uri (cran-uri "vcfR" version))
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(sha256
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(base32
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"0lhxb3ac4fafwik9q3cds46svzf0hyca8k54chw3dpk50c0zz1yx"))))
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(build-system r-build-system)
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(native-inputs
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`(("r-knitr" ,r-knitr)))
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(inputs
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`(("zlib" ,zlib)))
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(propagated-inputs
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`(("r-ape" ,r-ape)
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("r-dplyr" ,r-dplyr)
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("r-magrittr" ,r-magrittr)
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("r-memuse" ,r-memuse)
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("r-pinfsc50" ,r-pinfsc50)
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("r-rcpp" ,r-rcpp)
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("r-stringr" ,r-stringr)
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("r-tibble" ,r-tibble)
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("r-vegan" ,r-vegan)
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("r-viridislite" ,r-viridislite)))
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(home-page "https://github.com/knausb/vcfR")
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(synopsis "Manipulate and visualize VCF data")
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(description "This package facilitates easy manipulation of variant call
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format (VCF) data. Functions are provided to rapidly read from and write to
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VCF files. Once VCF data is read into R, a parser function extracts matrices
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of data. This information can then be used for quality control or other
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purposes. Additional functions provide visualization of genomic data. Once
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processing is complete data may be written to a VCF file. It also may be
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converted into other popular R objects. This package provides a link between
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VCF data and familiar R software.")
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(license license:gpl3)))
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(define-public r-ica
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(package
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(name "r-ica")
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