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 outs...

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Bibliographic Details
Published in:Science (American Association for the Advancement of Science) Vol. 294; no. 5550; pp. 2310 - 2314
Main Authors: Huelsenbeck, John P., Ronquist, Fredrik, Nielsen, Rasmus, Bollback, Jonathan P.
Format: Journal Article
Language:English
Published: Washington, DC American Society for the Advancement of Science 14.12.2001
American Association for the Advancement of Science
The American Association for the Advancement of Science
Subjects:
Algorithms
Animals
Base Sequence
Bayes Theorem
Bayesian analysis
Bayesian inference
Bayesian statistical decision theory
Bayesian Statistics
Biological and medical sciences
Biological Evolution
Biology
Computational methods
Computer Simulation
Datasets
Decision trees
DNA - genetics
Evolution
Evolution (Biology)
Evolution, Molecular
Evolutionary biology
Fundamental and applied biological sciences. Psychology
Genetic aspects
Genetics
Genetics of eukaryotes. Biological and molecular evolution
Hemagglutinins, Viral - chemistry
Hemagglutinins, Viral - genetics
Inferences
Insecta - classification
Insecta - genetics
Likelihood Functions
Markov Chains
Markov Processes
Mathematical models
Mathematics
Maximum Likelihood Statistics
Modeling
Models, Biological
Monte Carlo Method
Orthomyxoviridae - genetics
Parametric models
Phylogenetics
Phylogeny
Plants - classification
Plants - genetics
Probability
Review
Selection, Genetic
Simulations
Software
Statistical methods
Stochastic analysis
United States
Molecular evolution
Phylogeny
Phylogenetic tree
DNA
Biological evolution
Natural selection
ISSN:0036-8075, 1095-9203
Online Access:Get full text
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Description
Summary: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.
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ISSN:0036-8075
1095-9203
DOI:10.1126/science.1065889