Poster Presentation 41st Lorne Genome Conference 2020

SpliSER: A simple yet powerful way to quantify splicing (#131)

Craig Dent 1 , Shilpi Singh 1 , Shikhar Mishra 2 , Nawar Shamaya 1 , Kok Loo 3 , Sridevi Sureshkumar 1 , David Powell 4 , Sureshkumar Balasubramanian 1
  1. School of Biological Sciences, Monsh University, Clayton, VIC, Australia
  2. Australian National University, Canberra, ACT, Australia
  3. Monash University, Clayton, VIC, Australia
  4. Monash Bioinformatics Platform, Monash University, Clayton, VIC, Australia

Alternative Splicing (AS) plays a critical role in conferring phenotypic diversity, and has the potential to contribute to environmental acclimation/adaptation in plants. Current efforts to quantify AS in short-read RNA-seq samples either attempt to estimate transcript isoform abundance, or compare occurrences of various mutually exclusive splicing events. In this work we describe the conceptual development of Splice-site Strength, an explicit quantification of splice site utilisation at the level of individual base pairs; and describe its transcriptome-wide implementation in the bioinformatic tool SpliSER (Splice-site Strength Estimate from RNA-seq). We further demonstrate multiple applications of SpliSER, which have major implications for our understanding of AS.