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MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data.
Modhukur, Vijayachitra; Iljasenko, Tatjana; Metsalu, Tauno; Lokk, Kaie; Laisk-Podar, Triin; Vilo, Jaak.
Afiliação
  • Modhukur V; Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia.
  • Iljasenko T; Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia.
  • Metsalu T; Institute of Computer Science, University of Tartu, 50409 Tartu, Estonia.
  • Lokk K; United Laboratories of Tartu University Hospital, Tartu University Hospital, 50406 Tartu, Estonia.
  • Laisk-Podar T; Competence Centre on Health Technologies, 50410 Tartu, Estonia.
  • Vilo J; Women's Clinic, Institute of Clinical Medicine, University of Tartu, 50406 Tartu, Estonia.
Epigenomics ; 10(3): 277-288, 2018 03.
Article em En | MEDLINE | ID: mdl-29264942
ABSTRACT

AIM:

To develop a web tool for survival analysis based on CpG methylation patterns. MATERIALS &

METHODS:

We utilized methylome data from 'The Cancer Genome Atlas' and used the Cox proportional-hazards model to develop an interactive web interface for survival analysis.

RESULTS:

MethSurv enables survival analysis for a CpG located in or around the proximity of a query gene. For further mining, cluster analysis for a query gene to associate methylation patterns with clinical characteristics and browsing of top biomarkers for each cancer type are provided. MethSurv includes 7358 methylomes from 25 different human cancers.

CONCLUSION:

The MethSurv tool is a valuable platform for the researchers without programming skills to perform the initial assessment of methylation-based cancer biomarkers.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / DNA de Neoplasias / Biologia Computacional / Metilação de DNA / Epigênese Genética / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / DNA de Neoplasias / Biologia Computacional / Metilação de DNA / Epigênese Genética / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article