MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data.

By V. Modhukur, Tatjana Iljasenko, Tauno Metsalu, Kaie Lokk, T. Laisk-Podar, Jaak Vilo. Epigenomics, 2018

517 citations recorded by the source corpus.

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.

Subfields: Molecular Biology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/c05cccf0591c67b962f0424a4a29d1e73b708dd9