Goñi-Moreno Angel, de Lorenzo Víctor
School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Centro Nacional de Biotecnología, CSIC, Madrid, 28049, Spain.
Methods Mol Biol. 2018;1772:363-372. doi: 10.1007/978-1-4939-7795-6_20.
A synthetic biology workflow covers the roadmap from conceptualization of a genetic device to its construction and measurement. It is composed of databases that provide DNA parts/plasmids, wet-lab methods , software tools to design circuits, simulation packages , and tools to analyze circuit performance. The interdisciplinary nature of such a workflow requires that experimental results and their in-silico counterparts proceed alongside, with constant feedback between them. We present an end-to-end use case for engineering a simple synthetic device, where information standards maintain coherence throughout the workflow. These are the Standard European Vector Architecture (SEVA), the Synthetic Biology Open Language (SBOL), and the Systems Biology Markup Language (SBML).
合成生物学工作流程涵盖了从基因元件概念化到其构建与测量的路线图。它由提供DNA部件/质粒的数据库、湿实验室方法、用于设计电路的软件工具、模拟软件包以及用于分析电路性能的工具组成。这种工作流程的跨学科性质要求实验结果及其计算机模拟结果并行推进,且两者之间要有持续的反馈。我们展示了一个用于设计简单合成装置的端到端用例,其中信息标准在整个工作流程中保持一致性。这些标准包括欧洲标准载体架构(SEVA)、合成生物学开放语言(SBOL)和系统生物学标记语言(SBML)。