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scuttle

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

All Bioconductor versions of scuttle

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

Legacy Utilities for Single-Cell RNA-Seq Analysis

Bioconductor version: 3.23 · Package version: 1.22.0

Provides some legacy utility functions for performing single-cell analyses. Most of these functions are deprecated in favor of newer, more performant alternatives. We just keep this package around for back-compatibility and to point to the replacement functions.

Author: Aaron Lun [aut, cre], Davis McCarthy [aut]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

DOI: 10.18129/B9.bioc.scuttle

Citation

From within R, enter citation("scuttle"):

Aaron Lun, Davis McCarthy. scuttle: Legacy Utilities for Single-Cell RNA-Seq Analysis. doi:10.18129/B9.bioc.scuttle, R package version 1.22.0, https://bioconductor.org/packages/scuttle.

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("scuttle")

For older versions of R, please refer to the appropriate Bioconductor release.

Details

Version1.22.0
LicenseGPL-3
System RequirementsC++17
Last updated2026-04-28
In Bioconductor sinceBioC 3.12 (R-4.0) (5 years)
Downloads rank64 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDataImport, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Package Short Url https://bioconductor.org/packages/scuttle/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scuttle")
Legacy utilities for single-cell RNA-seq analysis HTML R Script
Reference ManualPDF
NEWSText

Download

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

Source packagescuttle_1.22.0.tar.gz
Windows binary (x86_64)scuttle_1.22.0.zip
macOS binary (arm64)scuttle_1.22.0.tgz
macOS binary (x86_64)scuttle_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scuttle
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scuttle
Package Downloads ReportDownload Stats
Dependencies

Depends: SingleCellExperiment

Imports: methods, utils, stats, Matrix, Rcpp, BiocGenerics, S4Vectors, BiocParallel, GenomicRanges, SummarizedExperiment, S4Arrays, MatrixGenerics, SparseArray, DelayedArray, beachmat

LinkingTo: Rcpp, beachmat, assorthead

Suggests: BiocStyle, knitr, scRNAseq, rmarkdown, testthat, sparseMatrixStats, DelayedMatrixStats, scran

Reverse dependencies

Depends On Me (3): omicsGMF, scater, scran

Imports Me (26): BASiCS, BASiCStan, batchelor, chevreulPlot, chevreulProcess, ClusterGVis, DESpace, DropletUtils, epiregulon, FLAMES, miaDash, mixhvg, mumosa, muscat, SanityR, scDblFinder, simPIC, singIST, singleCellTK, SpaceTrooper, SpatialArtifacts, spatialLIBD, splatter, SplineDV, spoon, velociraptor

Suggests Me (36): Banksy, bluster, CSOA, dreamlet, epiregulon.extra, escheR, futurize, ggsc, GSABenchmark, hammers, HCAData, iSEEde, iSEEfier, iSEEpathways, LISTO, mastR, mia, miloR, MouseThymusAgeing, raer, ReactomeGSA, SCArray, scConform, scCustomize, scDiagnostics, scDotPlot, schex, Seqtometry, SingleCellAlleleExperiment, sketchR, smoothclust, SpotSweeper, StatescopeR, SVP, tpSVG, TSCAN

Links To Me (2): DropletUtils, scran