Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

Abstract

Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.

Keywords

MeSH Terms

Affiliated Institutions

• KU Leuven BE
• University of Auckland NZ
• University of California, Los Angeles US
• Rega Institute for Medical Research BE
• University of Edinburgh GB

Related Publications