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.
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@ -2441,6 +2441,36 @@ other types of genomic data that produce counts, including ChIP-seq, SAGE and
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CAGE.")
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(license license:gpl2+)))
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(define-public r-fastseg
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(package
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(name "r-fastseg")
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(version "1.36.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "fastseg" version))
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(sha256
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(base32
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"1ln6w93ag4wanp0nrm0pqngbfc88w95zq2kcj583hbxy885dkg4f"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-biobase" ,r-biobase)
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("r-biocgenerics" ,r-biocgenerics)
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("r-genomicranges" ,r-genomicranges)
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("r-iranges" ,r-iranges)
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("r-s4vectors" ,r-s4vectors)))
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(home-page "https://www.bioinf.jku.at/software/fastseg/index.html")
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(synopsis "Fast segmentation algorithm for genetic sequencing data")
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(description
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"Fastseg implements a very fast and efficient segmentation algorithm.
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It can segment data from DNA microarrays and data from next generation
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sequencing for example to detect copy number segments. Further it can segment
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data from RNA microarrays like tiling arrays to identify transcripts. Most
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generally, it can segment data given as a matrix or as a vector. Various data
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formats can be used as input to fastseg like expression set objects for
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microarrays or GRanges for sequencing data.")
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(license license:lgpl2.0+)))
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(define-public r-genefilter
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(package
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(name "r-genefilter")
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@ -9196,36 +9196,6 @@ their variance is independent of the mean, and they are usually more sensitive
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and specific in detecting differential transcription.")
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(license license:artistic2.0)))
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(define-public r-fastseg
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(package
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(name "r-fastseg")
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(version "1.36.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "fastseg" version))
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(sha256
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(base32
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"1ln6w93ag4wanp0nrm0pqngbfc88w95zq2kcj583hbxy885dkg4f"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-biobase" ,r-biobase)
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("r-biocgenerics" ,r-biocgenerics)
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("r-genomicranges" ,r-genomicranges)
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("r-iranges" ,r-iranges)
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("r-s4vectors" ,r-s4vectors)))
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(home-page "https://www.bioinf.jku.at/software/fastseg/index.html")
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(synopsis "Fast segmentation algorithm for genetic sequencing data")
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(description
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"Fastseg implements a very fast and efficient segmentation algorithm.
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It can segment data from DNA microarrays and data from next generation
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sequencing for example to detect copy number segments. Further it can segment
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data from RNA microarrays like tiling arrays to identify transcripts. Most
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generally, it can segment data given as a matrix or as a vector. Various data
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formats can be used as input to fastseg like expression set objects for
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microarrays or GRanges for sequencing data.")
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(license license:lgpl2.0+)))
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(define-public r-keggrest
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(package
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(name "r-keggrest")
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