Maximum parsimony on subsets of taxa.

@article{Fischer2009MaximumPO,
  title={Maximum parsimony on subsets of taxa.},
  author={Mareike Fischer and Bhalchandra D. Thatte},
  journal={Journal of theoretical biology},
  year={2009},
  volume={260 2},
  pages={
          290-3
        }
}
  • Mareike Fischer, Bhalchandra D. Thatte
  • Published 2009
  • Biology, Medicine
  • Journal of theoretical biology
  • In this paper we investigate mathematical questions concerning the reliability (reconstruction accuracy) of Fitch's maximum parsimony algorithm for reconstructing the ancestral state given a phylogenetic tree and a character. In particular, we consider the question whether the maximum parsimony method applied to a subset of taxa can reconstruct the ancestral state of the root more accurately than when applied to all taxa, and we give an example showing that this indeed is possible. A surprising… CONTINUE READING

    Topics from this paper.

    Analysis on the reconstruction accuracy of the Fitch method for inferring ancestral states
    • 14
    • PDF
    On the Accuracy of Ancestral Sequence Reconstruction for Ultrametric Trees with Parsimony
    • 1
    • PDF
    Analyzing the Fitch Method for Reconstructing Ancestral States on Ultrametric Phylogenetic Trees
    • 11
    • Highly Influenced
    • PDF
    Accounting for ambiguity in ancestral sequence reconstruction
    • 2
    • PDF
    Ancestral sequence reconstruction with Maximum Parsimony and its accuracy in mathematical phylogenetics

    References

    Publications referenced by this paper.
    SHOWING 1-9 OF 9 REFERENCES
    Toward Defining the Course of Evolution: Minimum Change for a Specific Tree Topology
    • 6,055
    Ancestral state estimation and taxon sampling density.
    • 98
    • PDF
    Taxonomy with confidence
    • 194
    More taxa are not necessarily better for the reconstruction of ancestral character states.
    • 60
    • PDF
    Links between maximum likelihood and maximum parsimony under a simple model of site substitution.
    • 181
    A Probability Model for Inferring Evolutionary Trees
    • 210