Background: Despite 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. Results: We present the diffUTR Bioconductor package which streamlines and improves upon differential exon usage (DEU) analyses, and leverages existing DEU tools and alternative poly-adenylation 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. Conclusions: diffUTR enables differential 3′ UTR analysis and more generally facilitates DEU and the exploration of their results.
CITATION STYLE
Gerber, S., Schratt, G., & Germain, P. L. (2021). Streamlining differential exon and 3′ UTR usage with diffUTR. BMC Bioinformatics, 22(1). https://doi.org/10.1186/s12859-021-04114-7
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