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The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering
James Alastair McLaughlin1, Jacob Beal2, Göksel Mısırlı3
1School of Computing, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
Frontiers in Bioengineering and Biotechnology
|October 5, 2020
Summary
The Synthetic Biology Open Language (SBOL) standard, now in version 3, simplifies representing biological designs for synthetic biology workflows. SBOL3 focuses on real-world applications, improving data capture from molecules to multicellular systems.
Area of Science:
- Synthetic Biology
- Bioinformatics
- Data Standards
Background:
- The Synthetic Biology Open Language (SBOL) is a community-developed data standard for representing biological designs.
- Early SBOL versions focused on DNA components, limiting broader synthetic biology workflow representation.
- Previous SBOL deployments highlighted the need for a streamlined data model.
Purpose of the Study:
- Introduce the SBOL3 specification.
- Compare SBOL3 to previous SBOL versions.
- Provide practical examples of SBOL3 implementation in synthetic biology.
Main Methods:
- Description of the SBOL3 data model.
- Comparative analysis of SBOL3 against SBOL1 and SBOL2.
- Illustrative use cases demonstrating SBOL3 capabilities.
Main Results:
- SBOL3 offers a streamlined and simplified data model compared to prior versions.
- The standard now supports representation across multiple scales, from molecular components to multicellular systems.
- SBOL3 is designed for practical application in diverse scientific and industrial synthetic biology settings.
Conclusions:
- SBOL3 represents a significant advancement in standardizing synthetic biology data.
- The new version enhances the representation of complex biological designs and workflows.
- SBOL3 facilitates broader adoption and application of synthetic biology principles through improved data tractability.

