A Dirichlet process model for detecting positive selection in protein-coding DNA sequences.

@article{Huelsenbeck2006ADP,
  title={A Dirichlet process model for detecting positive selection in protein-coding DNA sequences.},
  author={John P. Huelsenbeck and Sonia Jain and Simon D. W. Frost and Sergei L. Kosakovsky Pond},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2006},
  volume={103 16},
  pages={
          6263-8
        }
}
Most methods for detecting Darwinian natural selection at the molecular level rely on estimating the rates or numbers of nonsynonymous and synonymous changes in an alignment of protein-coding DNA sequences. In some of these methods, the nonsynonymous rate of substitution is allowed to vary across the sequence, permitting the identification of single amino acid positions that are under positive natural selection. However, it is unclear which probability distribution should be used to describe… CONTINUE READING

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