• DocumentCode
    3009419
  • Title

    Genetic Algorithm Based Indicator Sequence Method for Exon Prediction

  • Author

    Biju, V.G. ; Mydhili, P.

  • Author_Institution
    Dept. of ECE, Coll. of Eng., Munnar, India
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    856
  • Lastpage
    858
  • Abstract
    Considerable research effort has been devoted in predicting the exon regions of genes. The binary indicator (BI), Electron ion interaction pseudo potential (EIIP), Filter method are some of the methods. All these methods make use of the period three behavior of the exon region. Even though the method suggested in this paper is similar to above mentioned methods , it introduces a set of sequences for mapping the nucleotides selected by applying genetic algorithm and found to be more promising .
  • Keywords
    DNA; biology computing; genetic algorithms; genetics; genomics; molecular biophysics; random sequences; DNA; binary indicator; electron ion interaction pseudopotential; exon prediction; filter method; genes; genetic algorithm; indicator sequence method; Genetic algorithms; Binary indicator (BI); Electron ion interaction pseudo potential (EIIP); Exon; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
  • Conference_Location
    Trivandrum, Kerala
  • Print_ISBN
    978-1-4244-5321-4
  • Electronic_ISBN
    978-0-7695-3915-7
  • Type

    conf

  • DOI
    10.1109/ACT.2009.217
  • Filename
    5375748