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Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq

Bioconductor version: Release (3.19)

The package provides two frameworks. One for the differential transcript usage analysis between different conditions and one for the tuQTL analysis. Both are based on modeling the counts of genomic features (i.e., transcripts) with the Dirichlet-multinomial distribution. The package also makes available functions for visualization and exploration of the data and results.

Author: Malgorzata Nowicka [aut, cre]

Maintainer: Malgorzata Nowicka <gosia.nowicka.uzh at>

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


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:

Differential transcript usage and transcript usage QTL analyses in RNA-seq with the DRIMSeq package PDF R Script
Reference Manual PDF


biocViews AlternativeSplicing, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, ImmunoOncology, MultipleComparison, RNASeq, SNP, Sequencing, Software, WorkflowStep
Version 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>= 3)
Depends R (>= 3.4.0)
Imports utils, stats, MASS, GenomicRanges, IRanges, S4Vectors, BiocGenerics, methods, BiocParallel, limma, edgeR, ggplot2, reshape2
System Requirements
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Suggests PasillaTranscriptExpr, GeuvadisTranscriptExpr, grid, BiocStyle, knitr, testthat
Linking To
Depends On Me rnaseqDTU
Imports Me BANDITS
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Follow Installation instructions to use this package in your R session.

Source Package DRIMSeq_1.32.0.tar.gz
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macOS Binary (x86_64) DRIMSeq_1.32.0.tgz
macOS Binary (arm64) DRIMSeq_1.32.0.tgz
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Source Repository (Developer Access) git clone
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