Source: r-bioc-scater
Section: gnu-r
Priority: optional
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Steffen Moeller <moeller@debian.org>
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-scater
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-scater.git
Homepage: https://bioconductor.org/packages/scater/
Standards-Version: 4.6.2
Rules-Requires-Root: no
Build-Depends: debhelper-compat (= 13),
               dh-r,
               r-base-dev,
               r-bioc-singlecellexperiment (>= 1.26.0),
               r-bioc-scuttle (>= 1.14.0),
               r-cran-ggplot2,
               r-cran-matrix,
               r-bioc-biocgenerics (>= 0.50.0),
               r-bioc-s4vectors (>= 0.42.1),
               r-bioc-summarizedexperiment (>= 1.34.0),
               r-bioc-delayedarray (>= 0.30.1),
               r-bioc-matrixgenerics (>= 1.16.0),
               r-bioc-beachmat (>= 2.20.0),
               r-bioc-biocneighbors (>= 1.22.0),
               r-bioc-biocsingular (>= 1.20.0),
               r-bioc-biocparallel (>= 1.38.0),
               r-cran-rlang,
               r-cran-ggbeeswarm,
               r-cran-viridis,
               r-cran-rtsne,
               r-cran-rcolorbrewer,
               r-cran-rcppml,
               r-cran-uwot,
               r-cran-pheatmap,
               r-cran-ggrepel,
               r-cran-ggrastr
Testsuite: autopkgtest-pkg-r

Package: r-bioc-scater
Architecture: all
Depends: ${R:Depends},
         ${misc:Depends},
         r-bioc-singlecellexperiment (>= 1.26.0),
         r-bioc-scuttle (>= 1.14.0),
         r-bioc-biocgenerics (>= 0.50.0),
         r-bioc-s4vectors (>= 0.42.1),
         r-bioc-summarizedexperiment (>= 1.34.0),
         r-bioc-delayedarray (>= 0.30.1),
         r-bioc-matrixgenerics (>= 1.16.0),
         r-bioc-beachmat (>= 2.20.0),
         r-bioc-biocneighbors (>= 1.22.0),
         r-bioc-biocsingular (>= 1.20.0),
         r-bioc-biocparallel (>= 1.38.0)
Recommends: ${R:Recommends}
Suggests: ${R:Suggests},
          r-bioc-biocstyle (>= 2.32.1),
          r-bioc-densvis (>= 1.14.0),
          r-bioc-biomart (>= 2.60.1),
          r-bioc-scrnaseq (>= 2.18.0),
          r-bioc-biobase (>= 2.64.0)
Description: Single-Cell Analysis Toolkit for Gene Expression Data in R
 A collection of tools for doing various analyses of
 single-cell RNA-seq gene expression data, with a focus on
 quality control and visualization.