Data Integration and Mining for Synthetic Biology Design-Reference-Cited by-同舟云学术

Data Integration and Mining for Synthetic Biology Design

Published:2016-06-20 Issue:10 Volume:5 Page:1086-1097
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

Mısırlı Göksel¹,Hallinan Jennifer¹,Pocock Matthew¹²,Lord Phillip¹,McLaughlin James Alastair¹,Sauro Herbert³,Wipat Anil¹

Affiliation:

1. School of Computing Science, Newcastle University, NE1 7RU Newcastle upon Tyne, United Kingdom

2. Turing Ate My Hamster Ltd, NE27 0RT Newcastle upon Tyne, United Kingdom

3. Department of Bioengineering, University of Washington, Seattle, Washington 98105, United States

Funder

Engineering and Physical Sciences Research Council

Division of Biological Infrastructure

Division of Molecular and Cellular Biosciences

Publisher

American Chemical Society (ACS)

Subject

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

Link

http://pubs.acs.org/doi/pdf/10.1021/acssynbio.5b00295

Reference73 articles.

1. Synthetic biology: discovering new worlds and new words

2. Synthetic biology: exploring and exploiting genetic modularity through the design of novel biological networks

3. Hallinan, J. S., Park, S., and Wipat, A. (2012) Bridging the gap between design and reality – a dual evolutionary strategy for the design of synthetic genetic circuits,Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, pp263–268.

4. Foundations for engineering biology

5. The role of predictive modelling in rationally re-engineering biological systems

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