Genetic design automation

Chris J. Myers, Nathan Barker, Hiroyuki Kuwahara, Kevin Jones, Curtis Madsen, Nam-Phuong D. Nguyen
November 2009
DOI

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.

Type
Conference paper
Publication
2009 IEEE/ACM International Conference on Computer-Aided Design - Digest of Technical Papers
synthetic biology Design automation stochastic processes genetics genetic engineering stochastic simulation integrated circuit design genetic design automation DNA electronic design automation genetic circuit Electronic circuits Electronic design automation and methodology electronic design automation tool circuit simulation genetic circuit design biological system modeling circuit complex integrated circuit stochastic logic microorganisms
Nathan Barker
Nathan Barker
Southern Utah University, Department Chair of Computer Science & Information Systems
Hiroyuki Kuwahara
Hiroyuki Kuwahara
King Abdullah University of Science and Technology, Computational Bioscience Research Center Research Scientist
Kevin Jones
Kevin Jones
Lockheed Martin, Senior Cyber Applied Research Scientist
Curtis Madsen
Curtis Madsen
Sandia National Laboratories, R&D S&E, Computer Science

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