• DocumentCode
    3379546
  • Title

    Confidence measures for evolutionary trees: applications to molecular epidemiology

  • Author

    Burr, Tom ; Skourikhine, Alexei ; Macken, Catherine ; Bruno, William

  • Author_Institution
    Safeguards Syst. Group, Los Alamos Nat. Lab., NM, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    107
  • Lastpage
    114
  • Abstract
    Recently there has been increased use of statistical hypothesis testing in settings where the phylogenetic (evolutionary) relationship among organisms (taxa) should be considered. For example, we have a current need to assess our confidence in assigning influenza sequences to the time period or species. We do so by using both: pattern recognition methods that do not explicitly account for the evolutionary relationships; and phylogenetic tree estimation methods that do explicitly estimate the evolutionary relationships (branching order) among the specified taxa. We compare our conclusions under both approaches for sequences from the Hemagglutinin gene of the human influenza RNA virus that are evenly distributed around the world from 1985 to 1996 and for sequences of the Nucleoprotein gene of the influenza RNA virus from three host species
  • Keywords
    biology computing; evolutionary computation; genetics; medical computing; pattern recognition; trees (mathematics); Hemagglutinin gene; Nucleoprotein gene; RNA; confidence measures; evolutionary relationships; evolutionary trees; influenza sequences; molecular epidemiology; pattern recognition; phylogenetic tree estimation methods; statistical hypothesis testing; Evolution (biology); Hip; Influenza; Laboratories; Maximum likelihood estimation; Phylogeny; RNA; Read only memory; Sequences; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    0-7695-0446-9
  • Type

    conf

  • DOI
    10.1109/ICIIS.1999.810231
  • Filename
    810231