Source: r-bioc-shortread Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille Section: gnu-r Testsuite: autopkgtest-pkg-r Priority: optional Build-Depends: debhelper-compat (= 13), architecture-is-64-bit, dh-r, r-base-dev, r-bioc-biocgenerics (>= 0.50.0), r-bioc-biocparallel (>= 1.38.0), r-bioc-biostrings (>= 2.72.1), r-bioc-rsamtools (>= 2.20.0), r-bioc-genomicalignments (>= 1.40.0), r-bioc-biobase (>= 2.64.0), r-bioc-s4vectors (>= 0.42.1), r-bioc-iranges (>= 2.38.1), r-bioc-genomeinfodb (>= 1.40.1), r-bioc-genomicranges (>= 1.56.1), r-cran-hwriter, r-bioc-zlibbioc (>= 1.50.0), r-cran-lattice, r-cran-latticeextra, r-bioc-xvector (>= 0.44.0), r-bioc-rhtslib (>= 3.0.0), r-bioc-pwalign (>= 1.0.0-2~0exp1) Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-shortread Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-shortread.git Homepage: https://bioconductor.org/packages/ShortRead/ Rules-Requires-Root: no Package: r-bioc-shortread Architecture: any Depends: ${R:Depends}, ${shlibs:Depends}, ${misc:Depends}, r-bioc-biocgenerics (>= 0.50.0), r-bioc-biocparallel (>= 1.38.0), r-bioc-biostrings (>= 2.72.1), r-bioc-rsamtools (>= 2.20.0), r-bioc-genomicalignments (>= 1.40.0), r-bioc-biobase (>= 2.64.0), r-bioc-s4vectors (>= 0.42.1), r-bioc-iranges (>= 2.38.1), r-bioc-genomeinfodb (>= 1.40.1), r-bioc-genomicranges (>= 1.56.1), r-bioc-zlibbioc (>= 1.50.0), r-bioc-xvector (>= 0.44.0), r-bioc-rhtslib (>= 3.0.0), r-bioc-pwalign (>= 1.0.0-2~0exp1) Recommends: ${R:Recommends} Suggests: ${R:Suggests}, r-bioc-biocstyle (>= 2.32.1), r-bioc-biomart (>= 2.60.1), r-bioc-genomicfeatures (>= 1.56.0) Description: GNU R classes and methods for high-throughput short-read sequencing data This BioConductor module is a package for input, quality assessment, manipulation and output of high-throughput sequencing data. ShortRead is provided in the R and Bioconductor environments, allowing ready access to additional facilities for advanced statistical analysis, data transformation, visualization and integration with diverse genomic resources.