• DocumentCode
    2861081
  • Title

    Prediction of Transcription Factor Binding Sites Using Genetic Algorithm

  • Author

    Chang, Xiaoyu ; Zhou, Wengang ; Zhou, Chunguang ; Liang, Yanchun

  • Author_Institution
    Coll. of Comput. Sci., Jilin Univ., Changchun
  • fYear
    2006
  • fDate
    24-26 May 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Identification of transcription factor binding sites (TFBS) from the upstream region of genes remains a highly important and unsolved problem particularly in higher eukaryotic genomes. In this paper, we propose a new approach to predict TFBS. This approach uses position weight matrix (PWM) to represent binding sites and uses genetic algorithm (GA) to search the best matrix. A new coding method so called multiple-variable coding is proposed in GA. We apply it on two transcription factors rebl and mgl. The result shows that this approach can find most of the known sites, which indicates that this method is very effective
  • Keywords
    encoding; genetic algorithms; genetic engineering; matrix algebra; coding method; genetic algorithm; higher eukaryotic genomes; multiple-variable coding; position weight matrix; transcription factor binding sites; transcription factors; Bioinformatics; Computer science; Educational technology; Genetic algorithms; Genomics; Hidden Markov models; Knowledge engineering; Proteins; Pulse width modulation; Sequences; GA; PSSM; TFBS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2006 1ST IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9513-1
  • Electronic_ISBN
    0-7803-9514-X
  • Type

    conf

  • DOI
    10.1109/ICIEA.2006.257271
  • Filename
    4025872