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Modeling and design automation of biological circuits and systems

Published: 05 November 2012 Publication History

Abstract

Circuit designers are increasingly more drawn to challenges in modeling and designing biological circuits and systems. While the principles of biological organization and architecture resemble those in systems that engineers are designing, the complexity of biological systems still seems to be beyond the designed ones. This session discusses state-of-the-art in tackling such challenges, and presents existing methods for automation of model development, design and analysis of biological circuits and systems. The speakers are experts from systems biology, synthetic biology, and design automation fields. The three talks will cover a range of topics that include rule-based modeling approach to model cell signaling networks, automation of genetic circuit design, and the importance and development of standards in synthetic biology.

Cited By

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  • (2013)Computer-aided design of electrical energy systemsProceedings of the International Conference on Computer-Aided Design10.5555/2561828.2561868(194-201)Online publication date: 18-Nov-2013
  • (2013)Computer-aided design of electrical energy systems2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)10.1109/ICCAD.2013.6691118(194-201)Online publication date: Nov-2013

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cover image ACM Conferences
ICCAD '12: Proceedings of the International Conference on Computer-Aided Design
November 2012
781 pages
ISBN:9781450315739
DOI:10.1145/2429384
  • General Chair:
  • Alan J. Hu
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2012

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Author Tags

  1. bio-design automation
  2. biological parts
  3. chemical reaction networks
  4. genetic circuits
  5. rule-based modeling
  6. synthetic biology
  7. systems biology

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ICCAD '12
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Overall Acceptance Rate 457 of 1,762 submissions, 26%

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Cited By

View all
  • (2013)Computer-aided design of electrical energy systemsProceedings of the International Conference on Computer-Aided Design10.5555/2561828.2561868(194-201)Online publication date: 18-Nov-2013
  • (2013)Computer-aided design of electrical energy systems2013 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)10.1109/ICCAD.2013.6691118(194-201)Online publication date: Nov-2013

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