Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

Overview

Journal Syst Biol

Publisher Oxford University Press

Specialty Biology

Date 2018 May 3

PMID 29718447

Citations 2994

Authors

Andrew Rambaut

Alexei J Drummond

Dong Xie

Guy Baele

Marc A Suchard

Affiliations

Soon will be listed here.

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.

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