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="aaron.lun@cruk.cam.ac.uk"), person("Quin", "Wills",
        role=c("aut"), email="qilin@quinwills.net"), 
        person("Vladimir", "Kiselev", role=c("ctb"),
        email="vk6@sanger.ac.uk"))
Maintainer: Davis McCarthy <davis@ebi.ac.uk>
Version: 1.6.3
Date: 2018-02-13
License: GPL (>= 2)
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.
Depends: R (>= 3.4), Biobase, ggplot2, SingleCellExperiment,
        SummarizedExperiment
Imports: biomaRt, BiocGenerics, data.table, dplyr, edgeR, ggbeeswarm,
        grid, limma, Matrix, matrixStats, methods, parallel, plyr,
        reshape2, rhdf5, rjson, S4Vectors, shiny, shinydashboard,
        stats, tximport, utils, viridis, Rcpp
Suggests: BiocStyle, beachmat, cowplot, cluster, destiny, knitr,
        monocle, mvoutlier, rmarkdown, Rtsne, testthat, magrittr
VignetteBuilder: knitr
LazyData: true
biocViews: SingleCell, RNASeq, QualityControl, Preprocessing,
        Normalization, Visualization, DimensionReduction,
        Transcriptomics, GeneExpression, Sequencing, Software,
        DataImport, DataRepresentation, Infrastructure, Coverage
LinkingTo: Rhdf5lib, Rcpp, beachmat
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
URL: http://bioconductor.org/packages/scater/
BugReports: https://support.bioconductor.org/
Packaged: 2018-02-14 02:03:49 UTC; biocbuild
Author: Davis McCarthy [aut, cre],
  Kieran Campbell [aut],
  Aaron Lun [aut, ctb],
  Quin Wills [aut],
  Vladimir Kiselev [ctb]
Built: R 3.4.3; i386-w64-mingw32; 2018-02-14 08:08:01 UTC; windows
Archs: i386, x64
