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DESCRIPTION
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36 lines (36 loc) · 1.7 KB
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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: 1.5.11
Date: 2017-08-30
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, SingleCellExperiment, SummarizedExperiment
Imports: biomaRt, BiocGenerics, data.table, dplyr, edgeR, ggbeeswarm, graphics, 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
LinkingTo: Rhdf5lib, Rcpp, beachmat
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
URL: http://bioconductor.org/packages/scater/
BugReports: https://support.bioconductor.org/