Nature Communications (Mar 2021)

Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence

  • Ryan Lusk,
  • Evan Stene,
  • Farnoush Banaei-Kashani,
  • Boris Tabakoff,
  • Katerina Kechris,
  • Laura M. Saba

DOI
https://doi.org/10.1038/s41467-021-21894-x
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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Short read RNA sequencing and DNA sequence contain useful information for profiling polyadenylation sites, but each also possesses inherent limitations when examined independently. Aptardi combines these data and significantly improves annotation of polyadenylation sites in the expressed transcriptome.