Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology

2001/12/14 by John P. Huelsenbeck, Fredrik Ronquist, Rasmus Nielsen +1 · 23 citations
Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · #Genetic diversity and population structure #Genomics and Phylogenetic Studies #Evolution and Paleontology Studies #Phylogenetics #Evolutionary biology #Phylogenetic tree #Bayesian inference #Inference #Bayesian probability #Biology #Natural selection #Data science #Computational biology #Computer science #Selection (genetic algorithm) #Artificial intelligence #Genetics #Gene

paper · doi:10.1126/science.1065889

openalex publication_date 2001/12/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

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.

Citations

• Equation of State Calculations by Fast Computing Machines
• Bayesian Phylogenetic Inference via Markov Chain Monte Carlo Methods
• Monte Carlo sampling methods using Markov chains and their applications
• Phylogenetics of Flowering Plants Based on Combined Analysis of Plastid atpB and rbcL Gene Sequences
• Probability distribution of molecular evolutionary trees: A new method of phylogenetic inference
• Statistical tests of models of DNA substitution

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