An Implementation-Focused Bio/Algorithmic Workflow for Synthetic Biology
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22063857
- Type
- D - Journal article
- DOI
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10.1021/acssynbio.6b00029
- Title of journal
- ACS Synthetic Biology
- Article number
- -
- First page
- 1127
- Volume
- 5
- Issue
- 10
- ISSN
- 2161-5063
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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5
- Research group(s)
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B - Northumbria Social Computing (NorSC)
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work on a computational/laboratory workflow for synthetic biology, validated using results from biological experiments, provided foundational input into the case for the subsequent EU H2020 project award “BioRoboost: Fostering Synthetic Biology: standarisation through international collaboration”. Project has 24 partners from 16 different countries spanning Europe, China, Japan, USA and Singapore (Project ID 820699, €2.18M). The paper has been highlighted as a key development in several independent articles describing the importance of standardization in synthetic biology (e.g., Decoene, et al., Critical Reviews in Biotechnology 38:5, 2018; de Lorenzo and Schmidt, New Biotechnology 40, 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -