SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology
- Submitting institution
-
University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 366
- Type
- D - Journal article
- DOI
-
10.1021/acssynbio.7b00403
- Title of journal
- ACS Synthetic Biology
- Article number
- -
- First page
- 682
- Volume
- 7
- Issue
- 2
- ISSN
- 2161-5063
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
https://pubs.acs.org/doi/10.1021/acssynbio.7b00403
- 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
-
7
- Research group(s)
-
-
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Misirli's contribution to this highly-cited paper is the development of the novel approach, using Semantic Web and data federation, and the mechanisms to support computational workflows. synbiohub.org, the repository instance created from this research, is now integrated with the SBOL synthetic biology data standard (e.g. https://doi.org/f9tdcs). Further repository instances include the US living computing project (NSF 1522074), SEVA plasmid standardisation (https://doi.org/ff5w), and University of Utah instance (https://doi.org/ff5x). Tools that access and contribute to SynBioHub repositories include pySBOL (https://doi.org/ff72), Utah's iBioSim and SBOLDesigner (e.g. https://sboldesigner.github.io/), and the Virtual Parts Repository tools (virtualparts.org)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -