• DocumentCode
    1762202
  • Title

    Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method

  • Author

    Dasarathy, Gautam ; Nowak, Robert ; Roch, Sebastien

  • Author_Institution
    Wisconsin Inst. for Discovery, Madison, WI, USA
  • Volume
    12
  • Issue
    2
  • fYear
    2015
  • fDate
    March-April 2015
  • Firstpage
    422
  • Lastpage
    432
  • Abstract
    We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full data-requirement analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel reconstruction algorithm that provably improves over all previous methods in a regime of interest.
  • Keywords
    bioinformatics; data analysis; evolution (biological); genetic algorithms; genetics; molecular biophysics; molecular configurations; trees (mathematics); data requirement; distance method; estimation errors; evolutionary history estimation; finite length molecular sequences; full data-requirement analysis; gene trees; multiple loci; phylogenetic inference; regime-of-interest; species tree reconstruction algorithm; Bioinformatics; History; Phylogeny; Reconstruction algorithms; Sociology; Statistics; Vegetation; Phylogenetic inference; distance methods; incomplete lineage sorting; molecular clock; multispecies coalescent; phylogenetic inference; sample complexity;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2014.2361685
  • Filename
    6917051