Litcius/Paper detail

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering

James Alastair McLaughlin, Jacob Beal, Göksel Mısırlı, Raik Grünberg, Bryan Bartley, James Scott-Brown, Prashant Vaidyanathan, Pedro Fontanarrosa, Ernst Oberortner, Anil Wipat, Thomas E. Gorochowski, Chris J. Myers

2020Frontiers in Bioengineering and Biotechnology70 citationsDOIOpen Access PDF

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.

Topics & Concepts

Computer scienceWorkflowSynthetic biologyVariety (cybernetics)OntologyRepresentation (politics)Data exchangeTheoretical computer scienceProgramming languageSemantic WebBiological dataSynthetic dataSoftware engineeringArtificial intelligenceComputational biologyWorld Wide WebBioinformaticsDatabaseBiologyPhilosophyPoliticsEpistemologyLawPolitical scienceGene Regulatory Network AnalysisMicrobial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks