TY - JOUR
T1 - The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering
AU - McLaughlin, James Alastair
AU - Beal, Jacob
AU - Mısırlı, Göksel
AU - Grunberg, Raik
AU - Bartley, Bryan A.
AU - Scott-Brown, James
AU - Vaidyanathan, Prashant
AU - Fontanarrosa, Pedro
AU - Oberortner, Ernst
AU - Wipat, Anil
AU - Gorochowski, Thomas E.
AU - Myers, Chris J.
N1 - KAUST Repository Item: Exported on 2020-10-05
Acknowledgements: 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.
PY - 2020/9/11
Y1 - 2020/9/11
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/665428
UR - https://www.frontiersin.org/article/10.3389/fbioe.2020.01009/full
UR - http://www.scopus.com/inward/record.url?scp=85091506203&partnerID=8YFLogxK
U2 - 10.3389/fbioe.2020.01009
DO - 10.3389/fbioe.2020.01009
M3 - Article
C2 - 33015004
SN - 2296-4185
VL - 8
JO - Frontiers in Bioengineering and Biotechnology
JF - Frontiers in Bioengineering and Biotechnology
ER -