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Updated: Nov 9, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
Streamlining differential exon and 3' UTR usage with diffUTR
Stefan Gerber1,2, Gerhard Schratt2, Pierre-Luc Germain3,4,5
1Group of Computational Neurogenomics, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
A new tool, diffUTR, enhances the analysis of differential 3' untranslated region (UTR) usage from standard transcriptomic data. This method improves upon existing differential exon usage (DEU) analyses for better biological insights.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Alternative poly-adenylation and 3' UTR length are crucial for biological processes.
- Current transcriptomic data analysis methods have limitations in detecting 3' UTR changes.
Purpose of the Study:
- To introduce the diffUTR Bioconductor package for differential 3' UTR usage analysis.
- To improve upon and streamline differential exon usage (DEU) analyses.
Main Methods:
- Leveraging existing DEU tools and alternative poly-adenylation site databases.
- Developing the diffUTR Bioconductor package for enhanced analysis.
Main Results:
- diffUTR demonstrates greater flexibility and accuracy compared to current state-of-the-art methods.
- Validation performed through both simulations and real biological data.
Conclusions:
- diffUTR facilitates differential 3' UTR analysis.
- The package broadly supports DEU analysis and the exploration of associated results.
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