2000/06/01 by Shuying Li, Dennis K. Pearl, Hani Doss · 2 citations
Biochemistry, Genetics and Molecular Biology · #Genomics and Phylogenetic Studies #Fractal and DNA sequence analysis #Genome Rearrangement Algorithms
paper · doi:10.1080/01621459.2000.10474227
openalex publication_date 2000/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
We describe a Bayesian method based on Markov chain simulation to study the phylogenetic relationship in a group of DNA sequences. Under simple models of mutational events, our method produces a Markov chain whose stationary distribution is the conditional distribution of the phylogeny given the observed sequences. Our algorithm strikes a reasonable balance between the desire to move globally through the space of phylogenies and the need to make computationally feasible moves in areas of high probability. Because phylogenetic information is described by a tree, we have created new diagnostics to handle this type of data structure. An important byproduct of the Markov chain Monte Carlo phylogeny building technique is that it provides estimates and corresponding measures of variability for any aspect of the phylogeny under study.