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
Link To Document :
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