Searching for the optimal data partitioning strategy in mitochondrial phylogenomics: a phylogeny of Acridoidea (Insecta: Orthoptera: Caelifera) as a case study.

@article{Leavitt2013SearchingFT,
  title={Searching for the optimal data partitioning strategy in mitochondrial phylogenomics: a phylogeny of Acridoidea (Insecta: Orthoptera: Caelifera) as a case study.},
  author={James R Leavitt and Kevin D. Hiatt and Michael F. Whiting and Hojun Song},
  journal={Molecular phylogenetics and evolution},
  year={2013},
  volume={67 2},
  pages={
          494-508
        }
}
One of the main challenges in analyzing multi-locus phylogenomic data is to find an optimal data partitioning strategy to account for variable evolutionary histories of different loci for any given dataset. Although a number of studies have addressed the issue of data partitioning in a Bayesian phylogenetic framework, such studies in a maximum likelihood framework are comparatively lacking. Furthermore, a rigorous statistical exploration of possible data partitioning schemes has not been… CONTINUE READING

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