On the Use of Bootstrapped Topologies in Coalescent-Based Bayesian MCMC Inference: A Comparison of Estimation and Computational Efficiencies

Coalescent-based Bayesian Markov chain Monte Carlo (MCMC) inference generates estimates of evolutionary parameters and their posterior probability distributions. As the number of sequences increases, the length of time taken to complete an MCMC analysis increases as well. Here, we investigate an app...

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Príomhchruthaitheoirí: Allen G. Rodrigo, Peter Tsai, Helen Shearman
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: SAGE Publishing 2009-01-01
Sraith:Evolutionary Bioinformatics
Rochtain ar líne:https://doi.org/10.4137/EBO.S2765