Computational Biology and Chemistry – A novel empirical mutual information approach to identify co-evolving amino acid positions of influenza A viruses
See on Scoop.it – Virology and Bioinformatics from Virology.ca
Mutual information (MI) is an approach commonly used to estimate the evolutionary correlation of 2 amino acid sites. Although several MI methods exist, prior to our contribution no systematic method had been developed to assess their performance, or to establish numerical thresholds to detect co-evolving amino acid sites. The current study performed a Markov chain Monte Carlo (MCMC) algorithm on influenza viral sequences to capture their evolutionary characteristics.
See on www.sciencedirect.com
