BioFolD - Biomolecules, Folding and Disease


In this page are reported information about the projects related to the annotation of the impact of Single Nucleotide Variants (SNVs) on human health. Currently we have four available web tools located in our server:

PhD-SNP Support Vector Machine based method to discriminate between neutral or disease-related single point protein mutations.
Meta-SNP Meta-predictor of disease causing variants that uses the output of PANTHER, PhD-SNP, SIFT and SNAP
WS-SNPs&GO Support Vector Machine method for the detection of disease-related SNPs based on functional information
DrCancer Support Vector Machine based method to predict cancer-causing mutations (Beta version).
ContastRank Statistical method for the classification of cancer samples using exome sequencing data.

The implementation of these web servers has been made possible with Marie Curie IOF funds of the Mut2Dis project (PIOF-GA-2009-237225).
Since October 2010, the log file of this server is monitored periodically and the tools' usage is mapped below. Better statistics about the usage of these resources are available on this web page.





University of Alabama at Birmingham. 619 19th St. South, WP220. Birmingham (AL), 35249 (USA).
BioFolD - Biomolecules, Folding and Disease