Adaptive MCMC in Bayesian phylogenetics: an application to analyzing partitioned data in BEAST

@article{Baele2017AdaptiveMI,
  title={Adaptive MCMC in Bayesian phylogenetics: an application to analyzing partitioned data in BEAST},
  author={Guy Baele and Philippe Lemey and Andrew Rambaut and Marc A. Suchard},
  journal={Bioinformatics},
  year={2017},
  volume={33 12},
  pages={
          1798-1805
        }
}
Motivation Advances in sequencing technology continue to deliver increasingly large molecular sequence datasets that are often heavily partitioned in order to accurately model the underlying evolutionary processes. In phylogenetic analyses, partitioning strategies involve estimating conditionally independent models of molecular evolution for different genes and different positions within those genes, requiring a large number of evolutionary parameters that have to be estimated, leading to an… CONTINUE READING
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