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Detecting amino acid preference shifts with codon-level mutation-selection mixture models
2019
BMC Evolutionary Biology
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In recent years, increasing attention has been placed on the development of phylogeny-based statistical methodologies for uncovering site-specific changes in amino acid fitness profiles over time. The few available random-effects approaches, modelling across-site variation in amino acid profiles as random variables drawn from a statistical law, either lack a mechanistic codon-level formulation, or pose significant computational challenges.
doi:10.1186/s12862-019-1358-7
pmid:30808289
pmcid:PMC6390532
fatcat:flg7i63c3rff5f7ldquxxpzoya