Genetic design automation

Authors:
Chris J. Myers;Nathan Barker;Hiroyuki Kuwahara;Kevin Jones;Curtis Madsen;Nam-Phuong D. Nguyen
Affiliations:
University of Utah;Southern Utah University;Carnegie Mellon University;University of Utah;University of Utah;University of Texas
Venue:
Proceedings of the 2009 International Conference on Computer-Aided Design
Year:
2009

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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.