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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:
Bayesian inference
Computation
Evolution
Markov chain Monte Carlo
phylogenetics
Software for Systematics
Software for Systematics and Evolution
Statistics
visualization
Publisher: England: Oxford University Press
ID: ISSN: 1063-5157
Link: https://www.ncbi.nlm.nih.gov/pubmed/29718447
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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
ispartofSystematic Biology, 2018-09-01, Vol.67 (5), p.901-904
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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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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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