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Bioconductor 3.22 Released

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scRNAseq

This is thereleased version of scRNAseq; for the devel version, seescRNAseq.

Collection of Public Single-Cell RNA-Seq Datasets

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DOI: 10.18129/B9.bioc.scRNAseq


Bioconductor version: Release (3.22)

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, entercitation("scRNAseq")):

Installation

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

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

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("scRNAseq")
User's GuideHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsExperimentData,ExperimentHub,ExpressionData,RNASeqData,SequencingData,SingleCellData
Version2.24.0
LicenseCC0
DependsSingleCellExperiment
Importsutils, methods,Matrix,BiocGenerics,S4Vectors,SparseArray,DelayedArray,GenomicRanges,SummarizedExperiment,ExperimentHub(>= 2.3.4),AnnotationHub(>= 3.3.6),AnnotationDbi,ensembldb,GenomicFeatures,alabaster.base,alabaster.matrix,alabaster.sce,gypsum,jsonlite,DBI,RSQLite
System Requirements
URL
See More
SuggestsBiocStyle,knitr,rmarkdown,testthat,jsonvalidate,BiocManager
Linking To
Enhances
Depends On MeOSCA.advanced, OSCA.basic, OSCA.intro, OSCA.workflows, SingleRBook
Imports MesingleCellTK, OSTA
Suggests MeAPL,BASiCS,batchelor,bluster,ccImpute,ClusterFoldSimilarity,Coralysis,CSOA,destiny,dittoSeq,Glimma,iSEE,iSEEfier,iSEEhex,iSEEindex,iSEEu,looking4clusters,miloR,miQC,mumosa,ReactomeGSA,scAnnotatR,scater,scDblFinder,scDiagnostics,scDotPlot,scFeatureFilter,scone,scran,scrapper,scTreeViz,scuttle,SingleCellExperiment,SingleR,SplineDV,UCell,velociraptor,zellkonverter,zinbwave,scStability,speakeasyR
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescRNAseq_2.24.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/scRNAseq
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scRNAseq
Package Short Urlhttps://bioconductor.org/packages/scRNAseq/
Package Downloads ReportDownload Stats

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