PTMsnp: A Web Server for the Identification of Driver Mutations That Affect Protein Post-translational Modification.

ABSTRACT: High-throughput sequencing technologies have identified millions of genetic mutations in multiple human diseases. However, the interpretation of the pathogenesis of these mutations and the discovery of driver genes that dominate disease progression is still a major challenge. Combining functional features such as protein post-translational modification (PTM) with genetic mutations is an effective way to predict such alterations. Here, we present PTMsnp, a web server that implements a Bayesian hierarchical model to identify driver genetic mutations targeting PTM sites. PTMsnp accepts genetic mutations in a standard variant call format or tabular format as input and outputs several interactive charts of PTM-related mutations that potentially affect PTMs. Additional functional annotations are

SUBMITTER: Peng D 

PROVIDER: S-EPMC7683509 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature