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scater

This is the released version of scater; for the devel version, see scater.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

Single-Cell Analysis Toolkit for Gene Expression Data in R


Bioconductor version: Release (3.23)

A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control and visualization.

Author: Davis McCarthy [aut], Kieran Campbell [aut], Aaron Lun [aut, ctb], Quin Wills [aut], Vladimir Kiselev [ctb], Felix G.M. Ernst [ctb], Alan O'Callaghan [ctb, cre], Yun Peng [ctb], Leo Lahti [ctb] ORCID iD ORCID: 0000-0001-5537-637X , Tuomas Borman [ctb] ORCID iD ORCID: 0000-0002-8563-8884

Maintainer: Alan O'Callaghan <alan.ocallaghan at outlook.com>

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

Davis McCarthy, Kieran Campbell, Aaron Lun, Quin Wills. scater: Single-Cell Analysis Toolkit for Gene Expression Data in R. doi:10.18129/B9.bioc.scater, R package version 1.40.2, https://bioconductor.org/packages/scater.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("scater")

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("scater")
Single-cell analysis toolkit for expression in R HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Coverage, DataImport, DataRepresentation, DimensionReduction, GeneExpression, ImmunoOncology, Infrastructure, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization
Version1.40.2
In Bioconductor sinceBioC 3.3 (R-3.3) (10.5 years)
License GPL-3
Depends SingleCellExperiment, scuttle, ggplot2
Imports stats, utils, methods, Matrix, BiocGenerics, S4Vectors, SummarizedExperiment, MatrixGenerics, SparseArray, DelayedArray, beachmat, BiocNeighbors, BiocSingular, BiocParallel, rlang, ggbeeswarm, viridis, Rtsne, RColorBrewer, RcppML, uwot, pheatmap, ggrepel
System Requirements
URLhttp://bioconductor.org/packages/scater/
Bug Reportshttps://support.bioconductor.org/
See More
Suggests BiocStyle, DelayedMatrixStats, snifter, densvis, cowplot, biomaRt, knitr, scRNAseq, robustbase, rmarkdown, testthat, Biobase, scattermore, ggrastr, MASS
Linking To
Enhances
Depends On Me chevreulProcess, netSmooth, omicsGMF
Imports Me airpart, BayesSpace, blase, CAESAR.Suite, CATALYST, celda, CelliD, CellMixS, chevreulPlot, ChromSCape, clustSIGNAL, decontX, distinct, DoReMiTra, epiregulon.extra, FLAMES, M3Drop, MEB, mia, miaDash, miaViz, muscat, peco, pipeComp, PRECAST, RegionalST, scDblFinder, scDotPlot, scMerge, scTreeViz, scviR, shinyDSP, singleCellTK, SpaceTrooper, Spaniel, spatialLIBD, tricycle, VAExprs
Suggests Me alabaster.sfe, anglemania, APL, Banksy, BatChef, batchelor, bluster, Canek, ccImpute, CellMentor, CellTrails, Cepo, CiteFuse, coFAST, concordexR, Coralysis, corral, crumblr, curatedMetagenomicData, dandelionR, DeeDeeExperiment, dittoSeq, DOtools, dreamlet, DuoClustering2018, epiregulon, escheR, ExperimentSubset, futurize, ggsc, ggspavis, Glimma, GSABenchmark, hammers, harf, HCAData, HCATonsilData, HoloFoodR, HVP, Ibex, immLynx, InteractiveComplexHeatmap, iSEE, iSEEfier, iSEEhex, iSEEpathways, iSEEtree, iSEEu, jazzPanda, MAST, mbkmeans, MerfishData, MGnifyR, miaTime, miloR, miQC, monocle, MOSim, MouseAgingData, msqrob2, MuData, mumosa, muscData, Nebulosa, ProFAST, raer, ReactomeGSA, SanityR, SC3, SCArray, scDiagnostics, scds, scellpam, scGraphVerse, schex, scHOT, scLANE, scLang, scone, scp, scPipe, scran, scrapper, scRepertoire, Seqtometry, simPIC, simpleSingleCell, SingleCellAlleleExperiment, SingleCellMultiModal, sketchR, slalom, smartid, smoothclust, SpaNorm, SpatialFeatureExperiment, spatialHeatmap, speckle, splatter, SPOTlight, StabMap, standR, SuperCell, SuperCellCyto, SVP, TabulaMurisData, tidySingleCellExperiment, tidySpatialExperiment, tuberculosis, UCell, velociraptor, Voyager, waddR
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package scater_1.40.2.tar.gz
Windows Binary (x86_64) scater_1.40.2.zip
macOS Binary (big-sur-x86_64) scater_1.40.2.tgz
macOS Binary (sonoma-arm64) scater_1.40.2.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scater
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scater
Package Short Url https://bioconductor.org/packages/scater/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.23Source Archive