Bayesian estimation of past population dynamics in BEAST 1.10 using the Skygrid coalescent model.
Hill, Verity; Baele, Guy.
Mol Biol Evol;
2019 Jul 31.
Artículo
en Inglés
| MEDLINE | ID: mdl-31364710
Inferring past population dynamics over time from heterochronous molecular sequence data is often achieved using the Bayesian Skygrid model, a non-parametric coalescent model that estimates the effective population size over time. Available in BEAST, a cross-platform program for Bayesian analysis of molecular sequences using Markov chain Monte Carlo, this coalescent model is often estimated in conjunction with a molecular clock model to produce time-stamped phylogenetic trees. We here provide a practical guide to using BEAST and its accompanying applications for the purpose of drawing inference under these models. We focus on best practices, potential pitfalls and recommendations that can be generalized to other software packages for Bayesian inference. This protocol shows how to use TempEst, BEAUti and BEAST 1.10 (http//beast.community/), LogCombiner as well as Tracer in a complete workflow.
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