• DocumentCode
    3232481
  • Title

    A DNA sequence distance measure approach for phylogenetic tree construction

  • Author

    Wei, Dan ; Jiang, Qingshan

  • Author_Institution
    Cognitive Sci. Dept., Xiamen Univ., Xiamen, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    204
  • Lastpage
    212
  • Abstract
    Distance measure is an important issue in phylogenetic analysis. Traditional measure approaches are time-consuming due to the fact that they require multiple sequence alignment, while the k-tuple distance is easy to compute and has been used in phylogenetic tree reconstruction. However, k-tuple distance is not effective for analysing identical sequences. Considering the occurrences of k-tuples and the sequence structure which may contain k-tuple locations as well as the order relation among them, we propose a new distance measure method to construct phylogenetic tree in this paper. The experimental results show that the new approach is capable of efficiently building phylogenetic trees.
  • Keywords
    DNA; biology computing; evolution (biological); genetics; sequences; trees (mathematics); DNA sequence distance measure approach; identical sequences; k-tuple distance; k-tuple locations; multiple sequence alignment; phylogenetic analysis; phylogenetic tree construction; sequence structure; Artificial neural networks; Bioinformatics; Genomics; Horses; Mice; Rodents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645329
  • Filename
    5645329