Robustness analysis and tuning of synthetic gene networks | Zendy

Grégory Batt | Zendy; Boyan Yordanov | Zendy; Ron Weiss | Zendy; Călin Belta | Zendy

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Robustness analysis and tuning of synthetic gene networks

Author(s) -

Grégory Batt,

Boyan Yordanov,

Ron Weiss,

Călin Belta

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm362

Subject(s) - robustness (evolution) , cascade , computer science , synthetic biology , synthetic data , biological network , construct (python library) , data mining , machine learning , algorithm , computational biology , biology , gene , engineering , programming language , biochemistry , chemical engineering

The goal of synthetic biology is to design and construct biological systems that present a desired behavior. The construction of synthetic gene networks implementing simple functions has demonstrated the feasibility of this approach. However, the design of these networks is difficult, notably because existing techniques and tools are not adapted to deal with uncertainties on molecular concentrations and parameter values.

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