Improved methods for RNAseq-based alternative splicing analysis

Improved methods for RNAseq-based alternative splicing analysis

Abstract The robust detection of disease-associated splice events from RNAseq data is challenging due to the potential confounding effect of gene expression levels and the often limited number of patients with relevant RNAseq data. Here we present a novel statistical approach to splicing outlier det...

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Bibliographic Details
Main Authors: Rebecca F. Halperin, Apurva Hegde, Jessica D. Lang, Elizabeth A. Raupach, C4RCD Research Group, Christophe Legendre, Winnie S. Liang, Patricia M. LoRusso, Aleksandar Sekulic, Jeffrey A. Sosman, Jeffrey M. Trent, Sampathkumar Rangasamy, Patrick Pirrotte, Nicholas J. Schork
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-89938-2

Internet

https://doi.org/10.1038/s41598-021-89938-2

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