title: Phylogeny estimation: traditional and Bayesian approaches.
abstract: The construction of evolutionary trees is now a standard part of exploratory sequence analysis. Bayesian methods for estimating trees have recently been proposed as a faster method of incorporating the power of complex statistical models into the process. Researchers who rely on comparative analyses need to understand the theoretical and practical motivations that underlie these new techniques, and how they differ from previous methods. The ability of the new approaches to address previously intractable questions is making phylogenetic analysis an essential tool in an increasing number of areas of genetic research.
authors.affiliation: Department of Ecology and Evolutionary Biology, 75 North Eagleville Road, University of Connecticut, Storrs, Connecticut 06269-3043, USA. mholder@uconn.edu
authors.forename: Mark
authors.initials: M
authors.lastname: Holder
authors.forename: Paul O
authors.initials: PO
authors.lastname: Lewis
mesh_terms: D001499:Bayes Theorem; D005821:Genetic Techniques; D016013:Likelihood Functions; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D010802:Phylogeny