• DocumentCode
    951992
  • Title

    SynPAM—A Distance Measure Based on Synonymous Codon Substitutions

  • Author

    Schneider, Adrian ; Gonnet, Gaston H. ; Cannarozzi, Gina M.

  • Author_Institution
    ETH Zurich, Zurich
  • Volume
    4
  • Issue
    4
  • fYear
    2007
  • Firstpage
    553
  • Lastpage
    560
  • Abstract
    Measuring evolutionary distances between DNA or protein sequences forms the basis of many applications in computational biology and evolutionary studies. Of particular interest are distances based on synonymous substitutions since these substitutions are considered to be under very little selection pressure and therefore assumed to accumulate in an almost clock-like manner. SynPAM, the method presented here, allows the estimation of distances between coding DNA sequences based on synonymous codon substitutions. The problem of estimating an accurate distance from the observed substitution pattern is solved by maximum likelihood with empirical codon substitution matrices employed for the underlying Markov model. Comparisons with established measures of synonymous distance indicate that SynPAM has less variance and yields useful results over a longer time range.
  • Keywords
    DNA; Markov processes; biology computing; evolutionary computation; maximum likelihood estimation; proteins; DNA; Markov model; SynPAM; computational biology; distance measure; evolutionary computation; maximum likelihood estimation; protein sequence; synonymous codon substitution; SynPAM; dS; evolutionary distance; molecular evolution; synonymous substitutions; Algorithms; Animals; Codon; Computational Biology; Computer Simulation; Databases, Genetic; Genome; Humans; Models, Genetic; Models, Statistical; Models, Theoretical; Phylogeny; Research Design; Software;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2007.1071
  • Filename
    4359866