Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Andrew RambautInstitute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, King’s Buildings, Edinburgh, EH9 3FL, UKAlexei J. DrummondCentre for Computational Evolution, University of Auckland, 303/38 Princes St, Auckland, 1010, NZDong XieCentre for Computational Evolution, University of Auckland, 303/38 Princes St, Auckland, 1010, NZGuy BaeleDepartment of Microbiology and Immunology, Rega Institute, KU Leuven - University of Leuven, Herestraat 49, 3000 Leuven, BelgiumMarc A. SuchardDepartment of Biostatistics, University of California, Los Angeles, 650 Charles E. Young Dr., Los Angeles, CA 90095, USA
2018en
ABI
Аннотация
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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