scRNAseq

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see scRNAseq.

Collection of Public Single-Cell RNA-Seq Datasets

Bioconductor version: 3.11

Gene-level counts for a collection of public scRNA-seq datasets, provided as SingleCellExperiment objects with cell- and gene-level metadata.

Author: Davide Risso [aut, cph], Michael Cole [aut], Aaron Lun [ctb, cre]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

Citation (from within R, enter citation("scRNAseq")):

To install this package, start R (version "4.0") and enter:


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

BiocManager::install("scRNAseq")

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("scRNAseq")

biocViews	ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData, SingleCellData
Version	2.2.0
License	CC0
Depends	SingleCellExperiment
Imports	methods, BiocGenerics, S4Vectors, GenomicRanges, SummarizedExperiment, ExperimentHub
System Requirements
URL

Suggests	BiocStyle, AnnotationHub, AnnotationDbi, GenomicFeatures, knitr, rmarkdown, BiocFileCache, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me	batchelor, clusterExperiment, dittoSeq, iSEE, iSEEu, scater, scFeatureFilter, scone, scran, SingleCellExperiment, singleCellTK, SingleR, SummarizedBenchmark, zinbwave
Links To Me
Build Report	Build Report

Follow Installation instructions to use this package in your R session.

Source Package	scRNAseq_2.2.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/scRNAseq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/scRNAseq
Package Short Url	https://bioconductor.org/packages/scRNAseq/
Package Downloads Report	Download Stats