Download presentation
Presentation is loading. Please wait.
Published byEmory Juniper Lyons Modified over 6 years ago
2
the goal of Bayesian divergence time estimation
Markov chain Monte Carlo (MCMC)—to eliminate the difficult task of calculating the marginal probability of the data.
3
Five different parametric distributions that can be applied as priors on the age of a calibrated node.
4
BEAUti — BEAUti is a utility program with a graphical user interface for creating BEAST and *BEAST input files which must be written in the eXtensible Markup Language (XML). Tracer — Tracer can be used for visual inspection and assessment of convergence and it also calculates 95% credible intervals and effective sample sizes (ESS) of parameters. LogCombiner — LogCombiner can be used to combine the parameter log files or tree files into a single file that can then be summarized using Tracer (log files) or TreeAnnotator (tree files). TreeAnnotator — TreeAnnotator is used to summarize the posterior sample of trees to produce a maximum clade credibility tree.
5
Practical: Divergence Time Estimation using BEAST v2.*
Dating Species Divergences with the Fossilized Birth-Death Process Download data and pre-cooked output files from: bears_irbp_fossils.nex and bears_cytb_fossils.nex
7
.nex → .xml → .log .trees → .combined.trees → .summary.tree
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.