Statistical Design of Experiments for Synthetic Biology
Author:
Affiliation:
1. Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH8 9YL, U.K.
Funder
Engineering and Physical Sciences Research Council
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/acssynbio.0c00385
Reference161 articles.
1. Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation
2. Contextualizing context for synthetic biology - identifying causes of failure of synthetic biological systems
3. Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway
4. Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineering
5. Synthetic and systems biology for microbial production of commodity chemicals
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