SUVA: Splicing Site Usage Variation Analysis from RNA-seq Data Reveals Highly Conserved Complex Splicing Biomarkers in Liver Cancer

Overview

Journal RNA Biol

Specialty Molecular Biology

Date 2021 Jun 21

PMID 34152934

Citations 11

Authors

Chao Cheng

Lei Liu

Yongli Bao

Jingwen Yi

Weili Quan

Yaqiang Xue

Luguo Sun

Yi Zhang

Affiliations

Soon will be listed here.

Abstract

Most of the current alternative splicing (AS) analysis tools are powerless to analyse complex splicing. To address this, we developed SUVA (Splice sites Usage Variation Analysis) that decomposes complex splicing events into five types of splice junction pairs. By analysing real and simulated data, SUVA showed higher sensitivity and accuracy in detecting AS events than the compared methods. Notably, SUVA detected extensive complex AS events and screened out 69 highly conserved and dominant AS events associated with cancer. The cancer-associated complex AS events in FN1 and the co-regulated RNA-binding proteins were significantly correlated with patient survival.

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