scRNAseq

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see scRNAseq.

Collection of Public Single-Cell RNA-Seq Datasets


Bioconductor version: 3.10

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, cre, cph], Michael Cole [aut], Aaron Lun [ctb]

Maintainer: Davide Risso <risso.davide at gmail.com>

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

Installation

To install this package, start R (version "3.6") 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")
User's Guide HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData, SingleCellData
Version 2.0.2
License CC0
Depends SingleCellExperiment
Imports SummarizedExperiment, S4Vectors, BiocGenerics, ExperimentHub
System Requirements
URL
See More
Suggests BiocStyle, AnnotationHub, AnnotationDbi, knitr, rmarkdown, BiocFileCache, testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me batchelor, clusterExperiment, iSEE, scater, scFeatureFilter, scone, scran, SingleCellExperiment, singleCellTK, SingleR, SummarizedBenchmark, zinbwave
Links To Me
Build Report Build Report

Package Archives

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

Source Package scRNAseq_2.0.2.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/scRNAseq
Source Repository (Developer Access) git clone [email protected]:packages/scRNAseq
Package Short Url https://bioconductor.org/packages/scRNAseq/
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