• DocumentCode
    507384
  • Title

    Genetic design automation

  • Author

    Myers, Chris J. ; Barker, Nathan ; Kuwahara, Hiroyuki ; Jones, Kevin ; Madsen, Curtis ; Nguyen, Nam Phuong D

  • Author_Institution
    Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2009
  • fDate
    2-5 Nov. 2009
  • Firstpage
    713
  • Lastpage
    716
  • Abstract
    Electronic design automation (EDA) tools have facilitated the design of ever more complex integrated circuits each year. Synthetic biology would also benefit from the development of genetic design automation (GDA) tools. Existing GDA tools require biologists to design genetic circuits at the molecular level, roughly equivalent to designing electronic circuits at the layout level. Analysis of these circuits is also performed at this very low level. This paper presents the background and issues involved in the development of such a GDA tool for modeling, analysis, and design.
  • Keywords
    electronic design automation; genetic engineering; integrated circuit design; complex integrated circuits; electronic design automation tool; genetic circuits design; genetic design automation; synthetic biology; Biological system modeling; Circuit simulation; DNA; Design automation; Electronic circuits; Electronic design automation and methodology; Genetics; Microorganisms; Stochastic processes; Synthetic biology; genetic circuits; stochastic simulation; synthetic biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design - Digest of Technical Papers, 2009. ICCAD 2009. IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-60558-800-1
  • Electronic_ISBN
    1092-3152
  • Type

    conf

  • Filename
    5361217