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scater

Single-Cell Analysis Toolkit for Gene Expression Data in R

Bioconductor version: 3.24 · Package version: 1.41.2

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

Installation

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

BiocManager::install("scater")

Details

MaintainerAlan O'Callaghan <alan.ocallaghan@outlook.com>
AuthorDavis 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: <https://orcid.org/0000-0001-5537-637X>), Tuomas Borman [ctb] (ORCID: <https://orcid.org/0000-0002-8563-8884>)
LicenseGPL-3
URLhttp://bioconductor.org/packages/scater/
Bug Reportshttps://support.bioconductor.org/
Downloads rank11044
Source branchdevel
biocViewsCoverage, DataImport, DataRepresentation, DimensionReduction, GeneExpression, ImmunoOncology, Infrastructure, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescater_1.41.2.tar.gz
Windows binary (x86_64)scater_1.41.2.zip
macOS binary (arm64)scater_1.41.2.tgz
macOS binary (x86_64)scater_1.41.2.tgz
Dependencies

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

Suggests: BiocStyle, DelayedMatrixStats, snifter, densvis, cowplot, biomaRt, knitr, scRNAseq, robustbase, rmarkdown, testthat, Biobase, scattermore, ggrastr, MASS

Reverse dependencies

Depends On Me (3): chevreulProcess, netSmooth, omicsGMF

Imports Me (35): airpart, augere.solo, BayesSpace, blase, CAESAR.Suite, CATALYST, CellMixS, chevreulPlot, ChromSCape, clustSIGNAL, distinct, DoReMiTra, epiregulon.extra, FLAMES, M3Drop, MEB, mia, miaDash, miaViz, muscat, peco, pipeComp, PRECAST, RegionalST, scDblFinder, scDotPlot, scMerge, scTreeViz, shinyDSP, singleCellTK, SpaceTrooper, Spaniel, spatialLIBD, tricycle, VAExprs

Suggests Me (115): alabaster.sfe, anglemania, APL, Banksy, BatChef, batchelor, BiocDuckDB, bluster, Canek, ccImpute, celda, CellMentor, CellTrails, Cepo, CiteFuse, coFAST, concordexR, Coralysis, corral, crumblr, curatedMetagenomicData, dandelionR, dbSequence, decontX, DeeDeeExperiment, dittoSeq, DOtools, dreamlet, DuoClustering2018, escheR, ExperimentSubset, futurize, ggsc, ggspavis, Glimma, GSABenchmark, hammers, harf, HCAData, HCATonsilData, HoloFoodR, HVP, Ibex, immLynx, InteractiveComplexHeatmap, iSEE, iSEEfier, iSEEhex, iSEEid, iSEEpathways, iSEEtree, iSEEu, jazzPanda, MAST, mbkmeans, MerfishData, MGnifyR, miaTime, miloR, miQC, monocle, MOSim, MouseAgingData, msqrob2, MuData, mumosa, muscData, Nebulosa, phylobar, ProFAST, raer, ReactomeGSA, SanityR, SC3, SCArray, scDiagnostics, scds, scellpam, scGraphVerse, schex, scHOT, scLANE, scLang, scone, scp, scPipe, scran, scRepertoire, Seqtometry, simPIC, simpleSingleCell, SingleCellAlleleExperiment, SingleCellMultiModal, sketchR, slalom, smartid, smoothclust, SpaNorm, spatialHeatmap, speckle, splatter, SPOTlight, StabMap, standR, SuperCell, SuperCellCyto, SVP, TabulaMurisData, tidySingleCellExperiment, tidySpatialExperiment, tuberculosis, UCell, velociraptor, Voyager, waddR