| Literature DB >> 31278662 |
Stéphane Aris-Brosou1,2, Nicolas Rodrigue3,4,5.
Abstract
In this chapter, we give a not-so-long and self-contained introduction to computational molecular evolution. In particular, we present the emergence of the use of likelihood-based methods, review the standard DNA substitution models, and introduce how model choice operates. We also present recent developments in inferring absolute divergence times and rates on a phylogeny, before showing how state-of-the-art models take inspiration from diffusion theory to link population genetics, which traditionally focuses at a taxonomic level below that of the species, and molecular evolution. Although this is not a cookbook chapter, we try and point to popular programs and implementations along the way.Keywords: Bayes; Divergence times; Likelihood; Model choice; Phylogenetics
Year: 2019 PMID: 31278662 DOI: 10.1007/978-1-4939-9074-0_3
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745