Evaluating the ability of Bayesian clustering methods to detect hybridization and introgression using an empirical red wolf data set.

@article{Bohling2013EvaluatingTA,
  title={Evaluating the ability of Bayesian clustering methods to detect hybridization and introgression using an empirical red wolf data set.},
  author={Justin H. Bohling and Jennifer R. Adams and Lisette P Waits},
  journal={Molecular ecology},
  year={2013},
  volume={22 1},
  pages={74-86}
}
Bayesian clustering methods have emerged as a popular tool for assessing hybridization using genetic markers. Simulation studies have shown these methods perform well under certain conditions; however, these methods have not been evaluated using empirical data sets with individuals of known ancestry. We evaluated the performance of two clustering programs, baps and structure, with genetic data from a reintroduced red wolf (Canis rufus) population in North Carolina, USA. Red wolves hybridize… CONTINUE READING
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A multi-faceted molecular approach to red wolf (Canis rufus) conservation and management

  • JR Adams
  • PhD Dissertation,
  • 2006
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