Article
Improved methods for RNAseq-based alternative splicing analysis.
Scientific reports - 24 May 2021
Halperin Rebecca F, Hegde Apurva, Lang Jessica D, Raupach Elizabeth A, Legendre Christophe, Liang Winnie S, LoRusso Patricia M, Sekulic Aleksandar, Sosman Jeffrey A, Trent Jeffrey M, Rangasamy Sampathkumar, Pirrotte Patrick, Schork Nicholas J
Abstract excerpt
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 detection and differential splicing analysis. Our approach tests for differences in the percentages of sequence reads...
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