Sign in
BioinformaticsBMC Bioinformatics
Peer-reviewed journal article

Streamlining differential exon and 3 UTR usage with diffUTR

Stefan Gerber, Gerhard M. SchrattiD, Pierre‐Luc GermainiD

Abstract

BackgroundDespite the importance of alternative poly-adenylation and 3 UTR length for a variety of biological phenomena, there are limited means of detecting UTR changes from standard transcriptomic data. ResultsWe present the diffUTR Bioconductor package which streamlines and improves upon differential exon usage (DEU) analyses, and leverages existing DEU tools and alternative polyadenylation site databases to enable differential 3 UTR usage analysis. We demonstrate the diffUTR features and show that it is more flexible and more accurate than state-of-the-art alternatives, both in simulations and in real data. ConclusionsdiffUTR enables differential 3 UTR analysis and more generally facilitates DEU and the exploration of their results.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
7
FWCI
0.39
Field percentile
top 50%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHaese-Hill '23Fahmi '22Lio '25Routh '19Pham '25Bürri '21
59% semantic matchBioinformatics
William A. Haese-Hill, Kathryn Crouch, Thomas D. Otto·Bioinformatics·Mar 1, 2023· 23 citations