An article published in GenomeBiology presents REPAC: an accurate, easy, and convenient framework for the analysis of alternative polyadenylation from RNA-sequencing data.
REPAC enables fast and streamlined exploration of public domain data
The REPAC method and associated R package were designed to take advantage of our recently published recount3 resource []. The recount3 project processed and analyzed data from over 750,000 samples of human and mouse origin publicly available in SRA in a standardized manner. The REPAC package extends recount3 to enable the extraction of expression estimates for thousands of PA sites within a few seconds per sample.
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