A Gamma mixture model better accounts for among site rate heterogeneity

@article{Mayrose2005AGM,
  title={A Gamma mixture model better accounts for among site rate heterogeneity},
  author={Itay Mayrose and Nir Friedman and Tal Pupko},
  journal={Bioinformatics},
  year={2005},
  volume={21 Suppl 2},
  pages={ii151-8}
}
MOTIVATION Variation of substitution rates across nucleotide and amino acid sites has long been recognized as a characteristic of molecular sequence evolution. Evolutionary models that account for this rate heterogeneity usually use a gamma density function to model the rate distribution across sites. This density function, however, may not fit real datasets, especially when there is a multimodal distribution of rates. Here, we present a novel evolutionary model based on a mixture of gamma… CONTINUE READING