Package: DropletUtils
Version: 1.4.3
Date: 2019-08-06
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: SingleCellExperiment
Imports: S4Vectors, BiocParallel, Rcpp, Matrix, methods, utils, stats,
        edgeR, rhdf5, HDF5Array, R.utils, dqrng
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 from count matrices or molecule information files, 
    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, BH, dqrng
SystemRequirements: C++11
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/DropletUtils
git_branch: RELEASE_3_9
git_last_commit: c74dbae
git_last_commit_date: 2019-08-06
Date/Publication: 2019-08-07
Packaged: 2019-08-08 04:53:51 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Jonathan Griffiths [ctb],
  Davis McCarthy [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.6.1; i386-w64-mingw32; 2019-08-08 13:02:24 UTC; windows
Archs: i386, x64
