Reducing model complexity of the general Markov model of evolution.

  title={Reducing model complexity of the general Markov model of evolution.},
  author={Vivek Jayaswal and Faisal Ababneh and Lars S. Jermiin and John Robinson},
  journal={Molecular biology and evolution},
  volume={28 11},
The selection of an optimal model for data analysis is an important component of model-based molecular phylogenetic studies. Owing to the large number of Markov models that can be used for data analysis, model selection is a combinatorial problem that cannot be solved by performing an exhaustive search of all possible models. Currently, model selection is based on a small subset of the available Markov models, namely those that assume the evolutionary process to be globally stationary… CONTINUE READING

From This Paper

Figures and tables from this paper.


Publications citing this paper.
Showing 1-10 of 10 extracted citations

Efficient selection of branch-specific models of sequence evolution.

Molecular biology and evolution • 2012
View 8 Excerpts
Highly Influenced

New substitution models for rooting phylogenetic trees

Philosophical transactions of the Royal Society of London. Series B, Biological sciences • 2015


Publications referenced by this paper.
Showing 1-10 of 37 references

A new method for calculating evolutionary substitution rates

C Lanave, G Preparata, C Saccone, G. Serio
J Mol Evol. 20: 86–93. • 1984
View 3 Excerpts
Highly Influenced

Phylogenetic model evaluation.

Methods in molecular biology • 2008
View 3 Excerpts

jModelTest: phylogenetic model averaging.

Molecular biology and evolution • 2008
View 3 Excerpts

Similar Papers

Loading similar papers…