Improvement of phylogenetic method to analyze compositional heterogeneity.

ABSTRACT:

Background

Phylogenetic analysis is a key way to understand current research in the biological processes and detect theory in evolution of natural selection. The evolutionary relationship between species is generally reflected in the form of phylogenetic trees. Many methods for constructing phylogenetic trees, are based on the optimization criteria. We extract the biological data via modeling features, and then compare these characteristics to study the biological evolution between species.

Results

Here, we use maximum likelihood and Bayesian inference method to establish phylogenetic trees; multi-chain Markov chain Monte Carlo sampling method can be used to select optimal phylogenetic tree, resolving local optimum problem. The correlation model of phylogenetic analysis assu

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC5615240 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature