The maximum likelihood approach for phylogenetic prediction.

  title={The maximum likelihood approach for phylogenetic prediction.},
  author={David W. Mount},
  journal={CSH protocols},
INTRODUCTIONMaximum likelihood (ML) methods are especially useful for phylogenetic prediction when there is considerable variation among the sequences in the multiple sequence alignment (msa) to be analyzed. ML methods start with a simple model, in this case a model of rates of evolutionary change in nucleic acid or protein sequences and tree models that represent a pattern of evolutionary change, and then adjust the model until there is a best fit to the observed data. For phylogenetic… CONTINUE READING

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Phylogenetic inference

  • D. L. Swofford, G. J. Olsen, P. J. Waddell, D. M. Hillis
  • Molecular systematics, 2nd ed. (eds. D.M. Hillis…
  • 1996
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