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ModelFinder: fast model selection for accurate phylogenetic estimates.

Subha Kalyaanamoorthy1,2, Bui Quang Minh3, Thomas K F Wong1,4

  • 1Land &Water, CSIRO, Canberra, Australian Capital Territory, Australia.

Nature Methods
|May 9, 2017
PubMed
Summary
This summary is machine-generated.

ModelFinder accurately improves phylogenetic estimates by selecting better evolutionary models. This method incorporates new rate heterogeneity models and searches both model and tree spaces simultaneously.

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Area of Science:

  • Genomics
  • Molecular Phylogenetics
  • Computational Biology

Background:

  • Model-based molecular phylogenetics is crucial for genomic data comparison.
  • Accurate model selection is essential for reliable phylogenetic analyses.

Purpose of the Study:

  • To introduce ModelFinder, a novel and efficient method for selecting evolutionary models.
  • To enhance the accuracy of phylogenetic estimates through improved model selection.

Main Methods:

  • Developed ModelFinder, a fast model-selection tool.
  • Incorporated a previously unconsidered model of rate heterogeneity across sites.
  • Enabled concurrent searches of both model and tree spaces.

Main Results:

  • ModelFinder significantly improves the accuracy of phylogenetic estimates.
  • The new method offers a faster approach to model selection.

Conclusions:

  • ModelFinder represents a significant advancement in model selection for molecular phylogenetics.
  • The concurrent search strategy and novel heterogeneity model enhance phylogenetic inference accuracy.