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
Currently we have four available web tools located in our server:
|Statistical method for the classification of cancer samples using exome
|Support Vector Machine based method to predict
cancer-causing mutations (Beta version).
|Machine learning method for predicting the impact of SNVs in the dog genome.
|Meta-predictor of disease causing variants that uses
the output of PANTHER, PhD-SNP, SIFT and SNAP
|Support Vector Machine based method to discriminate between neutral
or disease-related single point protein mutations.
|Machine learning method for predicting pathogenic variants in coding and non-coding regions.
|Support Vector Machine method for the detection of
disease-related SNPs based on functional information
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.