article

A property-driven methodology for formal analysis of synthetic biology systems

Editor: Ying Xu Authors:

Marian GheorgheAuthors Info & Claims

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 12, Issue 2

Pages 360 - 371

https://doi.org/10.1109/TCBB.2014.2362531

Published: 01 March 2015 Publication History

Abstract

This paper proposes a formal methodology to analyse bio-systems, in particular synthetic biology systems. An integrative analysis perspective combining different model checking approaches based on different property categories is provided. The methodology is applied to the synthetic pulse generator system and several verification experiments are carried out to demonstrate the use of our approach to formally analyse various aspects of synthetic biology systems.

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Cited By

Ipate FNiculescu ILefticaru RKonur SGheorghe M(2023)A model learning based testing approach for kernel P systemsTheoretical Computer Science10.1016/j.tcs.2023.113975965:COnline publication date: 18-Jul-2023
https://dl.acm.org/doi/10.1016/j.tcs.2023.113975
Webster MWestern DAraiza-Illan DDixon CEder KFisher MPipe A(2020)A corroborative approach to verification and validation of human–robot teamsInternational Journal of Robotics Research10.1177/027836491988333839:1(73-99)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1177/0278364919883338

Index Terms

A property-driven methodology for formal analysis of synthetic biology systems
1. Applied computing
  1. Life and medical sciences
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Published In

cover image IEEE/ACM Transactions on Computational Biology and Bioinformatics

IEEE/ACM Transactions on Computational Biology and Bioinformatics Volume 12, Issue 2

March/April 2015

247 pages

ISSN:1545-5963

Editor:
Ying Xu
Department of Biochemistry, Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, GA

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 March 2015

Accepted: 02 October 2014

Revised: 28 August 2014

Received: 07 July 2014

Published in TCBB Volume 12, Issue 2

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Cited By

Ipate FNiculescu ILefticaru RKonur SGheorghe M(2023)A model learning based testing approach for kernel P systemsTheoretical Computer Science10.1016/j.tcs.2023.113975965:COnline publication date: 18-Jul-2023
https://dl.acm.org/doi/10.1016/j.tcs.2023.113975
Webster MWestern DAraiza-Illan DDixon CEder KFisher MPipe A(2020)A corroborative approach to verification and validation of human–robot teamsInternational Journal of Robotics Research10.1177/027836491988333839:1(73-99)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1177/0278364919883338

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