DESCRIPTION

Package: scater
Type: Package
Authors@R: c(
        person("Davis", "McCarthy", role=c("aut", "cre"), email="davis@ebi.ac.uk"),
        person("Kieran", "Campbell", role=c("aut"), email="kieran.campbell@sjc.ox.ac.uk"),
        person("Aaron", "Lun", role = c("aut", "ctb"), email="infinite.monkeys.with.keyboards@gmail.com"),
        person("Quin", "Wills", role=c("aut"), email="qilin@quinwills.net"),
        person("Vladimir", "Kiselev", role=c("ctb"), email="vk6@sanger.ac.uk"))
Version: 1.13.9
Date: 2019-07-08
License: GPL-3
Title: Single-Cell Analysis Toolkit for Gene Expression Data in R
Description: A collection of tools for doing various analyses of
        single-cell RNA-seq gene expression data, with a focus on
        quality control and visualization.
Depends: 
    R (>= 3.5), 
    SingleCellExperiment, 
    ggplot2
Imports: 
    BiocGenerics, 
    SummarizedExperiment, 
    Matrix, 
    ggbeeswarm, 
    grid, 
    DelayedArray, 
    DelayedMatrixStats, 
    methods, 
    S4Vectors, 
    stats, 
    utils, 
    viridis, 
    Rcpp, 
    BiocNeighbors, 
    BiocSingular, 
    BiocParallel
Suggests: 
    BiocStyle, 
    biomaRt, 
    beachmat, 
    cowplot, 
    destiny, 
    knitr, 
    robustbase, 
    rmarkdown, 
    Rtsne, 
    uwot, 
    testthat, 
    pheatmap, 
    Biobase, 
    limma
VignetteBuilder: knitr
LazyData: true
biocViews: ImmunoOncology, SingleCell, RNASeq, QualityControl, Preprocessing, Normalization,
        Visualization, DimensionReduction, Transcriptomics,
        GeneExpression, Sequencing, Software, DataImport,
        DataRepresentation, Infrastructure, Coverage
LinkingTo: Rcpp, beachmat
SystemRequirements: C++11
RoxygenNote: 6.1.1
NeedsCompilation: yes
URL: http://bioconductor.org/packages/scater/
BugReports: https://support.bioconductor.org/