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Challenges in detecting and quantifying intron retention from next generation sequencing data

Authors :
Lucile Broseus
William Ritchie
Source :
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 501-508 (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Intron retention (IR) occurs when an intron is transcribed into pre-mRNA and remains in the final mRNA. An increasing body of literature has demonstrated a major role for IR in numerous biological functions and in disease. Here we give an overview of the different computational approaches for detecting IR events from sequencing data. We show that these are based on different biological and computational assumptions that may lead to dramatically different results. We describe the various approaches for mitigating errors in detecting intron retention and for discovering IR signatures between different conditions.

Details

Language :
English
ISSN :
20010370
Volume :
18
Issue :
501-508
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.fd21c79c38904c859e562c1fa45cc28f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2020.02.010