Mante Jeanet, Abam Julian, Samineni Sai P, Pötzsch Isabel M, Beal Jacob, Myers Chris J
University of Colorado Boulder, Boulder, Colorado 80309, United States.
University of Cambridge, Cambridge CB2 3AP, U.K.
ACS Synth Biol. 2023 Jan 20;12(1):340-346. doi: 10.1021/acssynbio.2c00521. Epub 2023 Jan 3.
Standards support synthetic biology research by enabling the exchange of component information. However, using formal representations, such as the Synthetic Biology Open Language (SBOL), typically requires either a thorough understanding of these standards or a suite of tools developed in concurrence with the ontologies. Since these tools may be a barrier for use by many practitioners, the Excel-SBOL Converter was developed to facilitate the use of SBOL and integration into existing workflows. The converter consists of two Python libraries: one that converts Excel templates to SBOL and another that converts SBOL to an Excel workbook. Both libraries can be used either directly or via a SynBioHub plugin.
标准通过促进组件信息的交换来支持合成生物学研究。然而，使用形式化表示，如合成生物学开放语言（SBOL），通常需要对这些标准有透彻的理解，或者需要一套与本体同时开发的工具。由于这些工具可能会成为许多从业者使用的障碍，因此开发了Excel-SBOL转换器，以促进SBOL的使用并将其集成到现有工作流程中。该转换器由两个Python库组成：一个将Excel模板转换为SBOL，另一个将SBOL转换为Excel工作簿。这两个库都可以直接使用，也可以通过SynBioHub插件使用。
