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satuRn

Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications

Bioconductor version: 3.23 · Package version: 1.20.0

satuRn provides a higly performant and scalable framework for performing differential transcript usage analyses. The package consists of three main functions. The first function, fitDTU, fits quasi-binomial generalized linear models that model transcript usage in different groups of interest. The second function, testDTU, tests for differential usage of transcripts between groups of interest. Finally, plotDTU visualizes the usage profiles of transcripts in groups of interest.

Installation

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

BiocManager::install("satuRn")

Details

MaintainerJeroen Gilis <jeroen.gilis@ugent.be>
AuthorJeroen Gilis [aut, cre], Kristoffer Vitting-Seerup [ctb], Koen Van den Berge [ctb], Lieven Clement [ctb]
LicenseArtistic-2.0
URLhttps://github.com/statOmics/satuRn
Bug Reportshttps://github.com/statOmics/satuRn/issues
Downloads rank787
Source branchRELEASE_3_23
biocViewsDifferentialExpression, ExperimentalDesign, GeneExpression, MultipleComparison, RNASeq, Regression, Sequencing, SingleCell, Software, Transcriptomics, Visualization

Documentation

Download

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

Source packagesatuRn_1.20.0.tar.gz
Windows binary (x86_64)satuRn_1.20.0.zip
macOS binary (arm64)satuRn_1.20.0.tgz
macOS binary (x86_64)satuRn_1.20.0.tgz
Dependencies

Depends: R (>= 4.1)

Imports: locfdr, SummarizedExperiment, BiocParallel, limma, pbapply, ggplot2, boot, Matrix, stats, methods, graphics

Suggests: knitr, rmarkdown, testthat, covr, BiocStyle, AnnotationHub, ensembldb, edgeR, DEXSeq, stageR, DelayedArray

Reverse dependencies

Depends On Me (1): IsoformSwitchAnalyzeR