Bioconductor version: Release (3.14)
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.
Author: Xiuwen Zheng [aut, cre]
Maintainer: Xiuwen Zheng <xiuwen.zheng at abbvie.com>
Citation (from within R,
enter citation("SCArray")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SCArray")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SCArray")
HTML | Overview | |
HTML | R Script | Single-cell RNA-seq data manipulation using GDS files |
Reference Manual | ||
Text | NEWS |
biocViews | DataImport, DataRepresentation, Infrastructure, RNASeq, SingleCell, Software |
Version | 1.2.1 |
In Bioconductor since | BioC 3.13 (R-4.1) (1 year) |
License | GPL-3 |
Depends | R (>= 3.5.0), gdsfmt(>= 1.27.4), methods, DelayedArray(>= 0.16.0) |
Imports | BiocGenerics, S4Vectors, IRanges, utils, SummarizedExperiment, SingleCellExperiment, DelayedMatrixStats |
LinkingTo | |
Suggests | Matrix, scater, uwot, RUnit, knitr, markdown, rmarkdown |
SystemRequirements | |
Enhances | |
URL | https://github.com/AbbVie-ComputationalGenomics/SCArray |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SCArray_1.2.1.tar.gz |
Windows Binary | SCArray_1.2.1.zip |
macOS 10.13 (High Sierra) | SCArray_1.2.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SCArray |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SCArray |
Package Short Url | https://bioconductor.org/packages/SCArray/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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