DexSeq
DEXSeq is an R/Bioconductor package for the analysis of differential exon usage from high-throughput sequencing data. It extends the DESeq methodology from gene-level count analysis to exon-level count analysis, enabling users to identify exons that are used differently between conditions or time points. DEXSeq is particularly useful for studying alternative splicing and transcript regulation from RNA-seq data.
Key benefits
Detects differential exon usage between experimental conditions
Supports analysis of alternative exon inclusion and exclusion
Builds on the established DESeq statistical framework
Models exon-level count data using the Gamma-Poisson distribution
Available as an R/Bioconductor package for reproducible workflows
Applications
Differential exon usage analysis from RNA-seq data
Investigation of alternative splicing events
Identification of condition-specific exon inclusion or exclusion
Analysis of transcript regulation beyond gene-level expression
Comparison of exon usage across conditions, treatments, or time points
Intended use
DEXSeq is intended for bioinformaticians, transcriptomics researchers, genomics researchers, and molecular biologists who want to analyse exon-level changes in RNA-seq data. It is particularly suited for users interested in alternative splicing, differential exon usage, and transcript-level regulation within the R/Bioconductor ecosystem.
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