• DocumentCode
    2526971
  • Title

    Whole genome phylogeny based on clustered signature string composition

  • Author

    Wu, Xiaomeng ; Lin, Guohui ; Wan, Xiu-Feng ; Xu, Dong

  • Author_Institution
    Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    53
  • Lastpage
    54
  • Abstract
    Peptide compositions constructed out of whole sets of protein sequences can be used as species signatures for phylogenetic analysis. To account for point mutations, an amino acid substitution model is integrated into the complete composition vectors through a novel peptide clustering algorithm. Such a refined signature is expected to highlight deeper evolutionary relationships among the species and employed into the whole genome phylogenetic analysis to define a new evolutionary distance measure. Computational experiments have been set up to validate the effectiveness of this new measure and a vertebrate evolutionary tree using a dataset of 832 proteins for 64 vertebrates is reported.
  • Keywords
    biochemistry; biology computing; evolution (biological); genetics; molecular biophysics; pattern clustering; proteins; statistical analysis; amino acid substitution model; clustered signature string composition; composition vectors; evolutionary distance measure; genome phylogeny; peptide clustering algorithm; peptide composition; phylogenetic analysis; point mutation; protein sequence; vertebrate evolutionary tree; Amino acids; Bioinformatics; Frequency; Genetic mutations; Genomics; Information analysis; Peptides; Phylogeny; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.143
  • Filename
    1540537