DEXSeq
DEXSeq is an extension of DESeq for the analysis of alternative exon usage, allowing researchers to identify differential exon usage between conditions or time points.
Key Features
- Alternative Exon Usage Analysis: DEXSeq provides a comprehensive toolset for analyzing alternative exon usage from high-throughput sequencing data.
- Extension of DESeq: DEXSeq builds upon the popular DESeq package, which is widely used for differential expression analysis of high-throughput sequencing assays.
Methodology: DEXSeq uses a similar approach to DESeq2, but instead of modeling gene-level counts, it models exon-level counts using the Gamma-Poisson distribution. This allows researchers to identify exons that are differentially used between conditions or time points.
Use Cases
- Alternative Splicing Analysis: Use DEXSeq to analyze alternative splicing events from RNA-seq data and identify exons that are differentially included or excluded between conditions.
- Differential Exon Usage Analysis: Apply DEXSeq to identify differential exon usage between conditions or time points, providing insights into the regulation of gene expression.
Availability
DEXSeq is available as an R/Bioconductor package and can be downloaded from the Bioconductor website.
Find this service in BioTools here.
Part of the Human Omics Analysis Toolbox.
Website
Funding: Neither development nor maintenance funded by de.NBI