• DocumentCode
    2638320
  • Title

    From Bio-inspired Computing to E-Biology

  • Author

    Perrin, Dimitri ; Ruskin, Heather J.

  • Author_Institution
    Centre for Sci. Comput. & Complex Syst. Modelling, Dublin City Univ., Dublin, Ireland
  • fYear
    2009
  • fDate
    19-22 Jan. 2009
  • Firstpage
    111
  • Lastpage
    118
  • Abstract
    Several algorithms and techniques widely used in Computer Science have been adapted from, or inspired by, known biological phenomena. This is a consequence of the multidisciplinary background of most early computer scientists. The field has now matured, and permits development of tools and collaborative frameworks which play a vital role in advancing current biomedical research. In this paper, we briefly present examples of the former, and elaborate upon two of the latter, applied to immunological modelling and as a new paradigm in gene expression.
  • Keywords
    biology computing; genetics; groupware; bio-inspired computing; biological phenomena; collaborative frameworks; computer science; e-biology; gene expression; immunological modelling; Application software; Biological system modeling; Biology computing; Biomedical computing; Computer science; DNA; Gene expression; Genetic algorithms; Physics; Sequences; Bio-inspired Computing; Computational Biology; Parallel Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Creating, Connecting and Collaborating through Computing, 2009. C5 '09. Seventh International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-0-7695-3620-0
  • Type

    conf

  • DOI
    10.1109/C5.2009.23
  • Filename
    5350252