SUVA: splicing site usage variation analysis from RNA-seq data reveals highly conserved complex splicing biomarkers in liver cancer.
RNA Biol
; 18(sup1): 157-171, 2021 10 15.
Article
em En
| MEDLINE
| ID: mdl-34152934
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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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
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Biomarcadores Tumorais
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Regulação Neoplásica da Expressão Gênica
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Proteínas de Ligação a RNA
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Processamento Alternativo
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RNA-Seq
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Neoplasias Hepáticas
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
RNA Biol
Ano de publicação:
2021
Tipo de documento:
Article