The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering
dc.contributor.author | McLaughlin, James Alastair | |
dc.contributor.author | Beal, Jacob | |
dc.contributor.author | Mısırlı, Göksel | |
dc.contributor.author | Grunberg, Raik | |
dc.contributor.author | Bartley, Bryan A. | |
dc.contributor.author | Scott-Brown, James | |
dc.contributor.author | Vaidyanathan, Prashant | |
dc.contributor.author | Fontanarrosa, Pedro | |
dc.contributor.author | Oberortner, Ernst | |
dc.contributor.author | Wipat, Anil | |
dc.contributor.author | Gorochowski, Thomas E. | |
dc.contributor.author | Myers, Chris J. | |
dc.date.accessioned | 2020-10-04T12:47:23Z | |
dc.date.available | 2020-10-04T12:47:23Z | |
dc.date.issued | 2020-09-11 | |
dc.date.submitted | 2020-05-29 | |
dc.identifier.citation | McLaughlin, J. A., Beal, J., Mısırlı, G., Grünberg, R., Bartley, B. A., Scott-Brown, J., … Myers, C. J. (2020). The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering. Frontiers in Bioengineering and Biotechnology, 8. doi:10.3389/fbioe.2020.01009 | |
dc.identifier.issn | 2296-4185 | |
dc.identifier.doi | 10.3389/fbioe.2020.01009 | |
dc.identifier.uri | http://hdl.handle.net/10754/665428 | |
dc.description.abstract | The Synthetic Biology Open Language (SBOL) is a community-developed data standard that allows knowledge about biological designs to be captured using a machine-tractable, ontology-backed representation that is built using Semantic Web technologies. While early versions of SBOL focused only on the description of DNA-based components and their sub-components, SBOL can now be used to represent knowledge across multiple scales and throughout the entire synthetic biology workflow, from the specification of a single molecule or DNA fragment through to multicellular systems containing multiple interacting genetic circuits. The third major iteration of the SBOL standard, SBOL3, is an effort to streamline and simplify the underlying data model with a focus on real-world applications, based on experience from the deployment of SBOL in a variety of scientific and industrial settings. Here, we introduce the SBOL3 specification both in comparison to previous versions of SBOL and through practical examples of its use. | |
dc.description.sponsorship | In addition to the listed authors, the development of SBOL3 has benefited greatly from discussions with many stakeholders throughout the user and developer community, including the SBOL developers mailing list, users and developers of the SBOL libraries and SBOL-enabled software tools, and the SBOL Industrial Consortium. Valuable support and guidance was also provided by members of the SBOL Editors and SBOL Steering Committee. | |
dc.publisher | Frontiers Media SA | |
dc.relation.url | https://www.frontiersin.org/article/10.3389/fbioe.2020.01009/full | |
dc.rights | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering | |
dc.type | Article | |
dc.contributor.department | Biological and Environmental Sciences and Engineering (BESE) Division | |
dc.identifier.journal | Frontiers in Bioengineering and Biotechnology | |
dc.eprint.version | Publisher's Version/PDF | |
dc.contributor.institution | School of Computing, Newcastle University, Newcastle-upon-Tyne, United Kingdom | |
dc.contributor.institution | Raytheon BBN Technologies, Cambridge, MA, United States | |
dc.contributor.institution | School of Mathematics and Computing, Keele University, Keele, United Kingdom | |
dc.contributor.institution | Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom | |
dc.contributor.institution | Microsoft Research, Cambridge, United Kingdom | |
dc.contributor.institution | Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States | |
dc.contributor.institution | Lawrence Berkeley National Laboratory, DOE Joint Genome Institute, Berkeley, CA, United States | |
dc.contributor.institution | School of Biological Sciences, University of Bristol, Bristol, United Kingdom | |
dc.contributor.institution | Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, CO, United States | |
dc.identifier.volume | 8 | |
kaust.person | Grunberg, Raik | |
dc.date.accepted | 2020-07-31 | |
dc.identifier.eid | 2-s2.0-85091506203 | |
refterms.dateFOA | 2020-10-04T12:48:31Z |
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