1. Challenges in detecting and quantifying intron retention from next generation sequencing data
- Author
-
Lucile Broseus and William Ritchie
- Subjects
Bioinformatics ,lcsh:Biotechnology ,Sequencing data ,Biophysics ,Review Article ,Computational biology ,Biology ,mRNA splicing ,Biochemistry ,DNA sequencing ,IR, Intron retention ,03 medical and health sciences ,0302 clinical medicine ,Structural Biology ,lcsh:TP248.13-248.65 ,Gene expression ,Genetics ,ComputingMethodologies_COMPUTERGRAPHICS ,030304 developmental biology ,Intron retention ,0303 health sciences ,Messenger RNA ,RNA-seq, RNA sequencing ,Intron ,RNA sequencing ,Computer Science Applications ,030220 oncology & carcinogenesis ,RNA splicing ,AS, alternative splicing ,Biotechnology - Abstract
Graphical 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.
- Published
- 2020
- Full Text
- View/download PDF