McLaughlin James Alastair, Beal Jacob, Mısırlı Göksel, Grünberg Raik, Bartley Bryan A, Scott-Brown James, Vaidyanathan Prashant, Fontanarrosa Pedro, Oberortner Ernst, Wipat Anil, Gorochowski Thomas E, Myers Chris J
School of Computing, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
Raytheon BBN Technologies, Cambridge, MA, United States.
Front Bioeng Biotechnol. 2020 Sep 11;8:1009. doi: 10.3389/fbioe.2020.01009. eCollection 2020.
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.
合成生物学开放语言(SBOL)是一种由社区开发的数据标准,它允许使用基于语义网技术构建的、机器可处理的、有本体支持的表示法来捕获有关生物设计的知识。虽然SBOL的早期版本仅专注于基于DNA的组件及其子组件的描述,但现在SBOL可用于跨多个尺度以及在整个合成生物学工作流程中表示知识,从单个分子或DNA片段的规格说明到包含多个相互作用遗传回路的多细胞系统。SBOL标准的第三次重大迭代SBOL3,是基于SBOL在各种科学和工业环境中部署的经验,致力于简化基础数据模型并侧重于实际应用。在此,我们通过与SBOL以前版本的比较以及其实际使用示例来介绍SBOL3规范。