Bartley Bryan A
Raytheon BBN Technologies, Cambridge, Massachusetts 02138, United States.
ACS Synth Biol. 2022 Mar 18;11(3):1373-1376. doi: 10.1021/acssynbio.1c00450. Epub 2022 Feb 28.
As synthetic biology becomes increasingly automated and data-driven, tools that help researchers implement FAIR (findable-accessible-interoperable-reusable) data management practices are needed. Crucially, in order to support machine processing and reusability of data, it is important that data artifacts are appropriately annotated with metadata drawn from controlled vocabularies. Unfortunately, adopting standardized annotation practices is difficult for many research groups to adopt, given the set of specialized database science skills usually required to interface with ontologies. In response to this need, Take Your Terms from Ontologies (Tyto) is a lightweight Python tool that supports the use of controlled vocabularies in everyday scripting practice. While Tyto has been developed for synthetic biology applications, its utility may extend to users working in other areas of bioinformatics research as well. Tyto is available as a Python package distribution or available as source at https://github.com/SynBioDex/tyto.
随着合成生物学变得越来越自动化和数据驱动,需要有助于研究人员实施FAIR(可查找、可访问、可互操作、可重用)数据管理实践的工具。至关重要的是,为了支持数据的机器处理和可重用性,重要的是数据工件要用从受控词汇表中提取的元数据进行适当注释。不幸的是,鉴于与本体进行交互通常需要一套专业的数据库科学技能,许多研究团队难以采用标准化注释实践。为满足这一需求,“从本体中获取术语”(Tyto)是一个轻量级的Python工具,支持在日常脚本实践中使用受控词汇表。虽然Tyto是为合成生物学应用而开发的,但其效用可能也会扩展到从事生物信息学研究其他领域的用户。Tyto可作为Python包发行版获取,也可从https://github.com/SynBioDex/tyto获取源代码。