Detection of aberrant splicing events in RNA-seq data using FRASER

Aberrant splicing is a major contributor to rare disease, but detection accuracy using current methods is limited. Here, the authors develop an algorithm that detects aberrant splicing and intron retention events from RNA-seq data and apply it to diagnosis in mitochondrial disease.

Bibliographic Details
Main Authors: Christian Mertes, Ines F. Scheller, Vicente A. Yépez, Muhammed H. Çelik, Yingjiqiong Liang, Laura S. Kremer, Mirjana Gusic, Holger Prokisch, Julien Gagneur
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-20573-7