scRNAseq

DOI: 10.18129/B9.bioc.scRNAseq    

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see scRNAseq.

Collection of Public Single-Cell RNA-Seq Datasets

Bioconductor version: 3.14

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], Alan O'Callaghan [ctb], Jens Preussner [ctb], Charlotte Soneson [ctb], Stephany Orjuela [ctb], Daniel Bunis [ctb], Milan Malfait [ctb]

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 "4.1") 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.

Documentation

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

browseVignettes("scRNAseq")

 

HTML R Script User's Guide
PDF   Reference Manual
Text   NEWS

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData, SingleCellData
Version 2.8.0
License CC0
Depends SingleCellExperiment
Imports utils, methods, BiocGenerics, S4Vectors, GenomicRanges, SummarizedExperiment, ExperimentHub, AnnotationHub, AnnotationDbi, ensembldb, GenomicFeatures
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, BiocFileCache, testthat, rappdirs, tools
SystemRequirements
Enhances
URL
Depends On Me OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.workflows
Imports Me singleCellTK
Suggests Me batchelor, bluster, destiny, dittoSeq, Glimma, iSEE, iSEEu, miQC, mumosa, scAnnotatR, scater, scClassifR, scDblFinder, scFeatureFilter, scone, scran, scTreeViz, scuttle, SingleCellExperiment, SingleR, snifter, SummarizedBenchmark, velociraptor, zellkonverter, zinbwave
Links To Me
Build Report  

Package Archives

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

Source Package scRNAseq_2.8.0.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

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