scater : Single-cell analysis toolkit for gene expression data in R

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"))
Version: 1.0.4
Date: 2016-05-19
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, grid, limma,
matrixStats, parallel, plyr, reshape2, rhdf5, rjson, shiny,
shinydashboard, tximport, viridis
Suggests: BiocStyle, cowplot, cluster, destiny, knitr, monocle,
mvoutlier, rmarkdown, Rtsne, testthat, magrittr
VignetteBuilder: knitr
LazyData: true
biocViews: RNASeq, QualityControl, Preprocessing, Normalization,
Visualization, DimensionReduction, Transcriptomics,
GeneExpression, Sequencing, Software, DataImport,
DataRepresentation, Infrastructure
RoxygenNote: 5.0.1
NeedsCompilation: no
URL: https://github.com/davismcc/scater
BugReports: https://github.com/davismcc/scater/issues
Packaged: 2016-06-13 05:48:39 UTC; biocbuild