Bayesian inference of phylogeny and its impact on evolutionary biology.
As a discipline, phylogenetics is becoming transformed by a flood of molecular data. These data allow broad questions to be asked about the history of life, but also present difficult statistical and computational problems. Bayesian inference of phylogeny brings a new perspective to a number of outstanding issues in evolutionary biology, including the analysis of large phylogenetic trees and complex evolutionary models and the detection of the footprint of natural selection in DNA sequences.
Huelsenbeck
J P
JP
Department of Biology, University of Rochester, Rochester, NY 14627, USA. johnh@brahms.biology.rochester.edu
Ronquist
F
F
Nielsen
R
R
Bollback
J P
JP
D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D001499:Bayes Theorem; D005075:Biological Evolution; D003198:Computer Simulation; D004247:DNA / Q000235:genetics; D019143:Evolution, Molecular; D006389:Hemagglutinins, Viral / Q000737:chemistry / Q000235:genetics; D007313:Insecta / Q000145:classification / Q000235:genetics; D016013:Likelihood Functions; D008390:Markov Chains; D008954:Models, Biological; D009010:Monte Carlo Method; D009975:Orthomyxoviridae / Q000235:genetics; D010802:Phylogeny; D010944:Plants / Q000145:classification / Q000235:genetics; D011336:Probability; D012641:Selection, Genetic; D012984:Software
D006389:Hemagglutinins, Viral; D004247:DNA