Functional Analysis through Hidden Markov Models (v2.3)


The Functional Analysis through Hidden Markov Models (fathmm) is 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 Protein Missense Variants


Use this option to return predictions capable of discriminating between disease-causing mutations and neutral polymorphisms. In addition, predictions on the molecular and phenotypic consequences of protein missense variants are also returned.

Analyze Cancer-Associated Variants


Use this option to return predictions capable of distinguishing between cancer-promoting/driver mutations, passenger mutations and other germline polymorphisms.