Package: r-cran-seurat
Version: 5.5.1-1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 4432
Depends: r-api-4.0, 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 (>= 0.1.3), r-cran-ggplot2 (>= 3.3.0), 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 (>= 1.5-0), r-cran-matrixstats, r-cran-miniui, r-cran-patchwork, r-cran-pbapply, r-cran-plotly (>= 4.9.0), r-cran-png, r-cran-progressr, r-cran-rann, r-cran-rcolorbrewer, r-cran-rcpp (>= 1.0.7), r-cran-rcppannoy (>= 0.0.18), 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 (>= 0.1.10), r-cran-rcppeigen, r-cran-rcppprogress, libc6 (>= 2.38), libgcc-s1 (>= 3.0), libstdc++6 (>= 14)
Recommends: r-cran-ape, r-cran-arrow, r-cran-base64enc, r-bioc-biobase, r-bioc-biocgenerics, r-cran-data.table, r-bioc-deseq2, r-bioc-delayedarray, r-bioc-genomicranges, r-bioc-genomeinfodb, r-bioc-glmgampoi, r-cran-ggrastr, r-cran-hdf5r, r-bioc-iranges, r-cran-leidenbase, r-bioc-limma, r-cran-magrittr, r-cran-metap, r-cran-mixtools, r-bioc-monocle, r-cran-rsvd, r-cran-r.utils, r-bioc-rtracklayer, r-bioc-s4vectors, r-cran-sf (>= 1.0-0), r-cran-sp, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-cran-testthat, r-cran-vgam
Suggests: r-cran-sf (>= 1.0.0)
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=Seurat
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.
