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

Bioconductor version: Release (3.19)

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.

Author: Jeroen Gilis [aut, cre], Kristoffer Vitting-Seerup [ctb], Koen Van den Berge [ctb], Lieven Clement [ctb]

Maintainer: Jeroen Gilis <jeroen.gilis at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

satuRn - vignette HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, ExperimentalDesign, GeneExpression, MultipleComparison, RNASeq, Regression, Sequencing, SingleCell, Software, Transcriptomics, Visualization
Version 1.12.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License Artistic-2.0
Depends R (>= 4.1)
Imports locfdr, SummarizedExperiment, BiocParallel, limma, pbapply, ggplot2, boot, Matrix, stats, methods, graphics
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Suggests knitr, rmarkdown, testthat, covr, BiocStyle, AnnotationHub, ensembldb, edgeR, DEXSeq, stageR, DelayedArray
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Follow Installation instructions to use this package in your R session.

Source Package satuRn_1.12.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) satuRn_1.12.0.tgz
macOS Binary (arm64) satuRn_1.12.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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