• DocumentCode
    1900263
  • Title

    Threshold Logic Gene Regulatory Networks

  • Author

    Gowda, Tejaswi ; Leshner, Samuel ; Vrudhula, Sarma ; Kim, Seungchan

  • Author_Institution
    Arizona State Univ., Tempe
  • fYear
    2007
  • fDate
    10-12 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Gene regulation is an important modeling problem in biology. The deluge of data generated by improved techniques of gene sequencing will not be of much use until we develop accurate and efficient gene regulatory network (GRN) models. In this paper a novel threshold logic gene regulatory model is proposed. This model has been demonstrated to be powerful enough to explain gene interaction and cellular processes. A novel programmable hardware implementation to speed up the gene network simulation is presented. Some insights into the extension of this model are provided.
  • Keywords
    biochemistry; biology computing; cellular biophysics; genetics; molecular biophysics; molecular configurations; physiological models; cellular processes; gene interaction; gene network simulation; gene sequencing; programmable hardware; threshold logic gene regulatory networks; Bioinformatics; Biological system modeling; Biology computing; Boolean functions; Computational biology; Genomics; Hardware; Logic; Power system modeling; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on
  • Conference_Location
    Tuusula
  • Print_ISBN
    978-1-4244-0998-3
  • Electronic_ISBN
    978-1-4244-0999-0
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2007.4365826
  • Filename
    4365826