SBROME: A Scalable Optimization and Module Matching Framework for Automated Biosystems Design-Reference-Cited by-同舟云学术

SBROME: A Scalable Optimization and Module Matching Framework for Automated Biosystems Design

Published:2013-03-11 Issue:5 Volume:2 Page:263-273
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Huynh Linh¹,Tsoukalas Athanasios¹,Köppe Matthias¹,Tagkopoulos Ilias¹

Affiliation:

1. Department of Computer Science and UC Davis Genome Center and ‡Department of Mathematics, University of California, Davis, California 95616 United States

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/sb300095m

Reference54 articles.

1. The second wave of synthetic biology: from modules to systems

2. Standard virtual biological parts: a repository of modular modeling components for synthetic biology

3. Modular model-based design for heterologous bioproduction in bacteria

4. Environmental signal integration by a modular AND gate

5. Engineering modular and orthogonal genetic logic gates for robust digital-like synthetic biology

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