Classification of molecular sequence data using Bayesian phylogenetic mixture models

  title={Classification of molecular sequence data using Bayesian phylogenetic mixture models},
  author={E. Loza-Reyes and M. A. Hurn and A. Robinson},
  journal={Comput. Stat. Data Anal.},
  • E. Loza-Reyes, M. A. Hurn, A. Robinson
  • Published 2014
  • Computer Science, Biology, Mathematics
  • Comput. Stat. Data Anal.
  • Rate variation among the sites of a molecular sequence is commonly found in applications of phylogenetic inference. Several approaches exist to account for this feature but they do not usually enable the investigator to pinpoint the sites that evolve under one or another rate of evolution in a straightforward manner. The focus is on Bayesian phylogenetic mixture models, augmented with allocation variables, as tools for site classification and quantification of classification uncertainty. The… CONTINUE READING
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