DOI: 10.18129/B9.bioc.scRNAseq  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see scRNAseq.

Collection of Public Single-Cell RNA-Seq Datasets

Bioconductor version: 3.16

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>

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


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biocViews ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData, SingleCellData
Version 2.12.0
License CC0
Depends SingleCellExperiment
Imports utils, methods, BiocGenerics, S4Vectors, GenomicRanges, SummarizedExperiment, ExperimentHub(>= 2.3.4), AnnotationHub(>= 3.3.6), AnnotationDbi, ensembldb, GenomicFeatures
Suggests BiocStyle, knitr, rmarkdown, BiocFileCache, testthat, rappdirs, tools
Depends On Me OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.workflows, SingleRBook
Imports Me singleCellTK
Suggests Me APL, batchelor, bluster, ccImpute, destiny, dittoSeq, Glimma, iSEE, iSEEhex, iSEEu, miQC, mumosa, scAnnotatR, scater, scDblFinder, scFeatureFilter, scone, scran, scTreeViz, scuttle, SingleCellExperiment, SingleR, SummarizedBenchmark, UCell, velociraptor, zellkonverter, zinbwave
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