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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

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... Full description

Journal Title: Systematic Biology 2018-09-01, Vol.67 (5), p.901-904
Main Author: Rambaut, Andrew
Other Authors: Drummond, Alexei J , Xie, Dong , Baele, Guy , Suchard, Marc A
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: England: Oxford University Press
ID: ISSN: 1063-5157
Link: https://www.ncbi.nlm.nih.gov/pubmed/29718447
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recordid: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6101584
title: Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
format: Article
creator:
  • Rambaut, Andrew
  • Drummond, Alexei J
  • Xie, Dong
  • Baele, Guy
  • Suchard, Marc A
subjects:
  • Bayesian inference
  • Computation
  • Evolution
  • Markov chain Monte Carlo
  • phylogenetics
  • Software for Systematics
  • Software for Systematics and Evolution
  • Statistics
  • visualization
ispartof: Systematic Biology, 2018-09-01, Vol.67 (5), p.901-904
description: 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 (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. is open-source and available at http://beast.community/tracer.
language: eng
source:
identifier: ISSN: 1063-5157
fulltext: no_fulltext
issn:
  • 1063-5157
  • 1076-836X
url: Link


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descriptionBayesian 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 (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. is open-source and available at http://beast.community/tracer.
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subjectBayesian inference ; Computation ; Evolution ; Markov chain Monte Carlo ; phylogenetics ; Software for Systematics ; Software for Systematics and Evolution ; Statistics ; visualization
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abstractBayesian 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 (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. is open-source and available at http://beast.community/tracer.
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