Identifiability of a Markovian model of molecular evolution with Gamma-distributed rates

@inproceedings{Allman2007IdentifiabilityOA,
  title={Identifiability of a Markovian model of molecular evolution with Gamma-distributed rates},
  author={Elizabeth S. Allman and C{\'e}cile An{\'e} and John A. Rhodes},
  year={2007}
}
Inference of evolutionary trees and rates from biological sequences is commonly performed using continuous-time Markov models of character change. The Markov process evolves along an unknown tree while observations arise only from the tips of the tree. Rate heterogeneity is present in most real data sets and is accounted for by the use of flexible mixture models where each site is allowed its own rate. Very little has been rigorously established concerning the identifiability of the models… CONTINUE READING
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