• DocumentCode
    1807626
  • Title

    Executable Biology

  • Author

    Fisher, Jasmin ; Henzinger, Thomas A.

  • Author_Institution
    Sch. of Comput. & Commun. Sci., Swiss Fed. Inst. of Technol., Lausanne
  • fYear
    2006
  • fDate
    3-6 Dec. 2006
  • Firstpage
    1675
  • Lastpage
    1682
  • Abstract
    Computational modeling of biological systems is becoming increasingly common as scientists attempt to understand biological phenomena in their full complexity. Here we distinguish between two types of biological models mathematical and computational - according to their different representations of biological phenomena and their diverse potential. We call the approach of constructing computational models of biological systems executable biology, as it focuses on the design of executable computer algorithms that mimic biological phenomena. We give an overview of the main modeling efforts in this direction, and discuss some of the new challenges that executable biology poses for computer science and biology. We argue that for executable biology to reach its full potential as a mainstream biological technique, formal and algorithmic approaches must be integrated into biological research, driving biology towards a more precise engineering discipline
  • Keywords
    algorithm theory; biocomputing; biological phenomena; biological systems; computational modeling; executable biology; executable computer algorithms; Algorithm design and analysis; Biological system modeling; Biological systems; Biological techniques; Biology computing; Computational biology; Computational modeling; Computational systems biology; Computer science; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2006. WSC 06. Proceedings of the Winter
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    1-4244-0500-9
  • Electronic_ISBN
    1-4244-0501-7
  • Type

    conf

  • DOI
    10.1109/WSC.2006.322942
  • Filename
    4117800