Source: r-cran-seurat
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Steffen Moeller <moeller@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-seuratobject (>= 5.0.2),
 r-cran-cluster,
 r-cran-cowplot,
 r-cran-fastdummies,
 r-cran-fitdistrplus,
 r-cran-future,
 r-cran-future.apply,
 r-cran-generics,
 r-cran-ggplot2,
 r-cran-ggrepel,
 r-cran-ggridges,
 r-cran-httr,
 r-cran-ica,
 r-cran-igraph,
 r-cran-irlba,
 r-cran-jsonlite,
 r-cran-kernsmooth,
 r-cran-lifecycle,
 r-cran-lmtest,
 r-cran-mass,
 r-cran-matrix,
 r-cran-matrixstats,
 r-cran-miniui,
 r-cran-patchwork,
 r-cran-pbapply,
 r-cran-plotly,
 r-cran-png,
 r-cran-progressr,
 r-cran-rann,
 r-cran-rcolorbrewer,
 r-cran-rcpp,
 r-cran-rcppannoy,
 r-cran-rcpphnsw,
 r-cran-reticulate,
 r-cran-rlang,
 r-cran-rocr,
 r-cran-rspectra,
 r-cran-rtsne,
 r-cran-scales,
 r-cran-scattermore (>= 1.2),
 r-cran-sctransform (>= 0.4.1),
 r-cran-shiny,
 r-cran-spatstat.explore,
 r-cran-spatstat.geom,
 r-cran-tibble,
 r-cran-uwot,
 r-cran-rcppeigen,
 r-cran-rcppprogress,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-seurat
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-seurat.git
Homepage: https://cran.r-project.org/package=Seurat

Package: r-cran-seurat
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Tools for Single Cell Genomics
 A toolkit for quality control, analysis, and exploration of single cell RNA
 sequencing data. 'Seurat' aims to enable users to identify and interpret
 sources of heterogeneity from single cell transcriptomic measurements,
 and to integrate diverse types of single cell data. See Satija R, Farrell J,
 Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R,
 et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A,
 et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020)
 <doi:10.1101/2020.10.12.335331> for more details.
