bioconductor-*: rm in favor of r-* copies (#49089)
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# Copyright Spack Project Developers. See COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class BioconductorDupradar(RPackage):
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"""Assessment of duplication rates in RNA-Seq datasets"""
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homepage = "https://bioconductor.org/packages/3.16/bioc/html/dupRadar.html"
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url = "https://bioconductor.org/packages/release/bioc/src/contrib/dupRadar_1.30.0.tar.gz"
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maintainers("pabloaledo")
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bioc = "dupradar"
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version(
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"1.30.0",
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sha256="a299d7a4578047dfc19237e34255b0f50f70ce41d29762ef9f5a7741ba35aa3d",
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deprecated=True,
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)
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depends_on("r-kernsmooth")
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depends_on("subread")
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depends_on("bioconductor-rsubread")
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# Copyright Spack Project Developers. See COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class BioconductorEbseq(RPackage):
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"""An R package for gene and isoform differential expression analysis of RNA-seq data.
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R/EBSeq is an R package for identifying genes and isoforms differentially
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expressed (DE) across two or more biological conditions in an RNA-seq
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experiment. Details can be found in Leng et al., 2013. It provides the syntax
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required for identifying DE genes and isoforms in a two-group RNA-seq
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experiment as well for identifying DE genes across more than two conditions
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(the commands for identifying DE isoforms across more than two conditions
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are the same as those required for gene-level analysis)."""
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homepage = "https://www.biostat.wisc.edu/~kendzior/EBSEQ/"
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url = "https://bioconductor.org/packages/release/bioc/src/contrib/EBSeq_1.40.0.tar.gz"
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maintainers("pabloaledo")
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bioc = "ebseq"
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version(
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"1.40.0",
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sha256="a5d3a88743d61062c6d68a426b19c53a4afd2fa216abc884d42c187780994378",
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deprecated=True,
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)
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depends_on("r-blockmodeling")
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depends_on("r-gplots")
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depends_on("r-testthat")
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# Copyright Spack Project Developers. See COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class BioconductorRsubread(RPackage):
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"""Mapping, quantification and variant analysis of sequencing data"""
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homepage = "https://bioconductor.org/packages/3.16/bioc/html/Rsubread.html"
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url = "https://bioconductor.org/packages/release/bioc/src/contrib/Rsubread_2.14.2.tar.gz"
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bioc = "rsubread"
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depends_on("r-matrix")
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depends_on("zlib-api")
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version(
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"2.14.2",
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sha256="ac8be0fad0eb2743443e3a60a9a94eec78c746638aaccca70e7166d034dcebb5",
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deprecated=True,
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)
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# Copyright Spack Project Developers. See COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class BioconductorTximeta(RPackage):
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"""Transcript Quantification Import with Automatic Metadata
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Transcript quantification import from Salmon and alevin with automatic
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attachment of transcript ranges and release information, and other associated
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metadata. De novo transcriptomes can be linked to the appropriate sources with
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linkedTxomes and shared for computational reproducibility."""
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homepage = "https://bioconductor.org/packages/release/bioc/html/tximeta.html"
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url = "https://bioconductor.org/packages/release/bioc/src/contrib/tximeta_1.18.1.tar.gz"
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bioc = "tximeta"
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version(
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"1.18.1",
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sha256="ee486fc4b2352e2998a3c0c2064449ebcf09b5815f982597ea58311dc8064408",
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deprecated=True,
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)
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depends_on("r", type=("build", "run"))
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depends_on("r-annotationdbi")
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depends_on("r-annotationhub")
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depends_on("r-biocfilecache")
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depends_on("r-biostrings")
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depends_on("r-ensembldb")
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depends_on("r-genomeinfodb")
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depends_on("r-genomicfeatures")
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depends_on("r-genomicranges")
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depends_on("r-iranges")
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depends_on("r-s4vectors")
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depends_on("r-summarizedexperiment")
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depends_on("r-tximport")
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depends_on("r-jsonlite")
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depends_on("r-matrix")
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depends_on("r-tibble")
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