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Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

Andrew Rambaut; Alexei J. Drummond; Dong Xie; Guy Baele; Marc A. Suchard · Systematic Biology · 2018

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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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APA 7

Rambaut, A, Drummond, A. J, Xie, D, Baele, G, & Suchard, M. A. (2018). Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7. https://doi.org/10.1093/sysbio/syy032

MLA

Rambaut, Andrew, et al. "Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7." 2018. https://doi.org/10.1093/sysbio/syy032.

Chicago

Rambaut, Andrew, Alexei J. Drummond, Dong Xie, Guy Baele, and Marc A. Suchard. 2018. "Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.". https://doi.org/10.1093/sysbio/syy032.

Harvard

Rambaut, A. et al. 2018, Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7, Systematic Biology, available at: https://doi.org/10.1093/sysbio/syy032 [Accessed 8 Aug. 2026].

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Title
Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Author / contributors
Andrew Rambaut; Alexei J. Drummond; Dong Xie; Guy Baele; Marc A. Suchard
Publisher
Systematic Biology
Publication year
2018
Language
English

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