Bioconductor – scRNAseq

DOI: 10.18129/B9.bioc.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")):

Installation

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

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

BiocManager::install("scRNAseq")

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

Documentation

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

browseVignettes("scRNAseq")

 

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData, SingleCellData
Version 2.2.0
License CC0
Depends SingleCellExperiment
Imports methods, BiocGenerics, S4Vectors, GenomicRanges, SummarizedExperiment, ExperimentHub
LinkingTo
Suggests BiocStyle, AnnotationHub, AnnotationDbi, GenomicFeatures, knitr, rmarkdown, BiocFileCache, testthat
SystemRequirements
Enhances
URL
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  

Package Archives

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

Read more here: Source link