• DocumentCode
    1571533
  • Title

    Algorithms for acceptor sites recognition in DNA sequences

  • Author

    Zhang, Yong ; Ruan, Xiaogang

  • Author_Institution
    Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., China
  • Volume
    4
  • fYear
    2004
  • Firstpage
    3076
  • Abstract
    Recognition of acceptor sites is a part of splice sites recognition and is an important step in gene recognition. In this paper, we develop motif models for acceptor site and a pattern match algorithm. Using the Motif models, we can mine out the pattern information from acceptor site sequences. The recognition results show that this model can correctly recognize 88.50% of the total true acceptor sites and 91.50% of the total false acceptor sites the correlation coefficient is 0.8004.
  • Keywords
    DNA; pattern recognition; DNA sequences; Motif models; acceptor sites recognition; gene recognition; pattern match algorithm; Art; Control engineering; DNA; Databases; Educational institutions; Frequency; Hidden Markov models; Pattern matching; Sequences; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1343085
  • Filename
    1343085