New methods to evaluate the impact of single point protein mutation on human health.

The Single Nucleotide Polymorphisms (SNPs) are the main cause of the sequence variability in human. For this reason, the prediction of the impact of SNPs is one of the most challenging problems in computational biology and bioinformatics. The increasing growth of the genome-scale studies is providing a large amount of SNP data, allowing the application of rigorous statistical approaches for predicting whether a given single point mutation has an effect on human health.