Package: scater
Type: Package
Maintainer: Davis McCarthy <davis@ebi.ac.uk>
Author: Davis McCarthy
Authors@R: c(person("Davis", "McCarthy", role=c("aut", "cre"),
        email="davis@ebi.ac.uk"), person("Quin", "Wills",
        role=c("aut"), email="qilin@quinwills.net"), person("Kieran",
        "Campbell", role=c("aut"),
        email="kieran.campbell@sjc.ox.ac.uk"),  person("Vladimir",
        "Kiselev", role=c("ctb"),
        email="vk6@sanger.ac.uk"), person("Aaron", "Lun", role = c("ctb"), 
        email="aaron.lun@cruk.cam.ac.uk"))
Version: 1.2.0
Date: 2016-10-14
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 (>= 3.3), Biobase, ggplot2, methods
Imports: biomaRt, BiocGenerics, data.table, dplyr, edgeR, ggbeeswarm,
        grid, limma, matrixStats, parallel, plyr, reshape2, rhdf5,
        rjson, shiny, shinydashboard, stats, tximport, viridis
Suggests: BiocStyle, 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
RoxygenNote: 5.0.1
NeedsCompilation: yes
URL: https://github.com/davismcc/scater
BugReports: https://github.com/davismcc/scater/issues
Packaged: 2016-10-18 00:30:57 UTC; biocbuild
Built: R 3.3.1; i386-w64-mingw32; 2016-10-18 04:40:12 UTC; windows
Archs: i386, x64
