Functional Analysis through Hidden Markov Models (v2.2)
A high-throughput web-server capable of predicting the functional, molecular and phenotypic consequences of protein missense variants using hidden Markov models (HMMs) representing the alignment of homologous sequences and conserved protein domains.
Analyze dbSNP/Protein Missense Variants
Obtain instant predictions capable of discriminating between disease-causing mutations and neutral polymorphisms - including predictions on the molecular and phenotypic consequences of protein missense variants.
Analyze Cancer-Associated Variants
Obtain instant predictions capable of distinguishing between cancer-promoting/driver mutations, passenger mutations and other germline polymorphisms.