WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

2013361 citationsJournal Articlegold Open Access

Authors

Emidio Capriotti · University of Alabama at Birmingham

Remo Calabrese

Piero Fariselli · University of Bologna

Pier Luigi Martelli · University of Bologna

Russ B. Altman · Stanford University

Rita Casadio · University of Bologna

Abstract

WS-SNPs&GO is a valuable tool that includes in a unique framework information derived from protein sequence, structure, evolutionary profile, and protein function. WS-SNPs&GO is freely available at http://snps.biofold.org/snps-and-go.

Topics & Keywords

Machine Learning in Bioinformatics Genomics and Phylogenetic Studies RNA and protein synthesis mechanisms

Publication Details

Published in: BMC Genomics

Volume 14, Issue Suppl 3, pp. S6-S6

DOI: 10.1186/1471-2164-14-s3-s6

Field-Weighted Citation Impact: 4.49

Command Palette

WS-SNPs&amp;GO: a web server for predicting the deleterious effect of human protein variants using functional annotation

Authors

Abstract

Topics & Keywords

Publication Details

WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation