Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
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Implication
Computational study demonstrates interactive posterior analysis of MCMC samples in Bayesian phylogenetics, highlighting improved visualization of evolutionary trajectories.
Key Points
- Introduce Tracer version 1.7, an open-source graphical software package designed to analyze and summarize posterior distributions generated during Bayesian phylogenetic inference.
- Developed an interactive visualization platform to parse and evaluate Markov chain Monte Carlo (MCMC) trace files.
- Implemented analytic capabilities including kernel density estimation, multivariate visualization, demographic trajectory reconstruction, and conditional posterior distribution summaries.
- Tracer 1.7 enables comprehensive diagnostic assessment and qualitative exploration of complex parameter spaces sampled from molecular sequence data.
- The program provides an accessible, open-source workflow for demographic and evolutionary parameter estimation via the BEAST community platform.
Cite This Study
Rambaut et al. (2018) studied this question.