Package: DropletUtils
Version: 1.2.2
Date: 2018-11-02
Title: Utilities for Handling Single-Cell Droplet Data
Authors@R: c(
    person("Aaron", "Lun", role = c("aut", "cre"), 
    email = "infinite.monkeys.with.keyboards@gmail.com"), 
    person("Jonathan", "Griffiths", role="ctb"), 
    person("Davis", "McCarthy", role="ctb"))
Depends: R (>= 3.5), BiocParallel, SingleCellExperiment
Imports: S4Vectors, Matrix, methods, utils, stats, edgeR, Rcpp, rhdf5,
        HDF5Array
Suggests: testthat, beachmat, knitr, BiocStyle, rmarkdown
biocViews: ImmunoOncology, SingleCell, Sequencing, RNASeq,
        GeneExpression, Transcriptomics, DataImport, Coverage
Description: Provides a number of utility functions for handling 
    single-cell (RNA-seq) data from droplet technologies such as 10X
    Genomics. This includes data loading, identification of cells from 
    empty droplets, removal of barcode-swapped pseudo-cells, and 
    downsampling of the count matrix.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
LinkingTo: Rcpp, beachmat, Rhdf5lib
SystemRequirements: C++11
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/DropletUtils
git_branch: RELEASE_3_8
git_last_commit: 1424ff5
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
Packaged: 2019-01-05 04:52:15 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Jonathan Griffiths [ctb],
  Davis McCarthy [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.5.2; i386-w64-mingw32; 2019-01-05 11:55:05 UTC; windows
Archs: i386, x64
