Package: SCArray
Type: Package
Title: Large-scale single-cell RNA-seq data manipulation with GDS files
Version: 1.4.0
Date: 2022-04-20
Depends: R (>= 3.5.0), gdsfmt (>= 1.27.4), methods, DelayedArray (>=
        0.16.0)
Imports: BiocGenerics, S4Vectors, IRanges, utils, SummarizedExperiment,
        SingleCellExperiment, DelayedMatrixStats
Suggests: Matrix, scater, uwot, RUnit, knitr, markdown, rmarkdown,
        rhdf5, HDF5Array
Authors@R: c(person("Xiuwen", "Zheng", role=c("aut", "cre"),
        email="xiuwen.zheng@abbvie.com",
        comment=c(ORCID="0000-0002-1390-0708")))
Description: Provides large-scale single-cell RNA-seq data manipulation using
        Genomic Data Structure (GDS) files. It combines dense and sparse
        matrices stored in GDS files and the Bioconductor infrastructure
        framework (SingleCellExperiment and DelayedArray) to provide
        out-of-memory data storage and large-scale manipulation using the R
        programming language.
License: GPL-3
VignetteBuilder: knitr
ByteCompile: TRUE
URL: https://github.com/AbbVie-ComputationalGenomics/SCArray
biocViews: Infrastructure, DataRepresentation, DataImport, SingleCell,
        RNASeq
git_url: https://git.bioconductor.org/packages/SCArray
git_branch: RELEASE_3_15
git_last_commit: d6dbbc3
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: yes
Packaged: 2022-04-27 01:10:24 UTC; biocbuild
Author: Xiuwen Zheng [aut, cre] (<https://orcid.org/0000-0002-1390-0708>)
Maintainer: Xiuwen Zheng <xiuwen.zheng@abbvie.com>
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-04-27 14:39:33 UTC; unix
