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SCArray

This is thereleased version of SCArray; for the devel version, seeSCArray.

Large-scale single-cell omics data manipulation with GDS files

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DOI: 10.18129/B9.bioc.SCArray


Bioconductor version: Release (3.22)

Provides large-scale single-cell omics 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]ORCID iD ORCID: 0000-0002-1390-0708

Maintainer: Xiuwen Zheng <xiuwen.zheng at abbvie.com>

Citation (from within R, entercitation("SCArray")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("SCArray")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SCArray")
OverviewHTML
Single-cell RNA-seq data manipulation using GDS filesHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDataImport,DataRepresentation,Infrastructure,RNASeq,SingleCell,Software
Version1.18.0
In Bioconductor sinceBioC 3.13 (R-4.1) (4.5 years)
LicenseGPL-3
DependsR (>= 3.5.0),gdsfmt(>= 1.36.0), methods,DelayedArray(>= 0.31.5)
ImportsS4Vectors, utils,Matrix,SparseArray(>= 1.5.13),BiocParallel,DelayedMatrixStats,SummarizedExperiment,SingleCellExperiment,BiocSingular
System Requirements
URLhttps://github.com/AbbVie-ComputationalGenomics/SCArray
See More
SuggestsBiocGenerics,scater,scuttle,uwot,RUnit,knitr,markdown,rmarkdown,rhdf5,HDF5Array
Linking To
Enhances
Depends On MeSCArray.sat
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSCArray_1.18.0.tar.gz
Windows Binary (x86_64) SCArray_1.18.0.zip (64-bit only)
macOS Binary (x86_64)SCArray_1.18.0.tgz
macOS Binary (arm64)SCArray_1.18.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SCArray
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SCArray
Bioc Package Browserhttps://code.bioconductor.org/browse/SCArray/
Package Short Urlhttps://bioconductor.org/packages/SCArray/
Package Downloads ReportDownload Stats

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