SynBio2Easy-a biologist-friendly tool for batch operations on SBOL designs with Excel inputs.

IF 2.6 Q2 BIOCHEMICAL RESEARCH METHODS
Tomasz Zieliński, Johnny Hay, Andrew Romanowski, Anja Nenninger, Alistair McCormick, Andrew J Millar
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引用次数: 1

Abstract

Practical delivery of Findable, Accessible, Reusable and Interoperable principles for research data management requires expertise, time resource, (meta)data standards and formats, software tools and public repositories. The Synthetic Biology Open Language (SBOL2) metadata standard enables FAIR sharing of the designs of synthetic biology constructs, notably in the repository of the SynBioHub platform. Large libraries of such constructs are increasingly easy to produce in practice, for example, in DNA foundries. However, manual curation of the equivalent libraries of designs remains cumbersome for a typical lab researcher, creating a barrier to data sharing. Here, we present a simple tool SynBio2Easy, which streamlines and automates operations on multiple Synthetic Biology Open Language (SBOL) designs using Microsoft Excel® tables as metadata inputs. The tool provides several utilities for manipulation of SBOL documents and interaction with SynBioHub: for example, generation of a library of plasmids based on an original design template, bulk deposition into SynBioHub, or annotation of existing SBOL component definitions with notes and authorship information. The tool was used to generate and deposit a collection of 3661 cyanobacterium Synechocystis plasmids into the public SynBioHub repository. In the process of developing the software and uploading these data, we evaluated some aspects of the SynBioHub platform and SBOL ecosystem, and we discuss proposals for improvement that could benefit the user community. With software such as SynBio2Easy, we aim to deliver a user-driven tooling to make FAIR a reality at all stages of the project lifecycle in synthetic biology research. Graphical Abstract.

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synbio2easy -一个生物学家友好的工具,用于批量操作SBOL设计与Excel输入。
研究数据管理的可查找、可访问、可重用和可互操作原则的实际交付需要专业知识、时间资源、(元)数据标准和格式、软件工具和公共存储库。合成生物学开放语言(shol2)元数据标准使合成生物学结构的设计能够公平共享,特别是在SynBioHub平台的存储库中。这种结构的大型库在实践中越来越容易生产,例如在DNA代工厂中。然而,对于一个典型的实验室研究人员来说,手动管理等效的设计库仍然很麻烦,这给数据共享造成了障碍。在这里,我们提出了一个简单的工具SynBio2Easy,它简化和自动化了多个合成生物学开放语言(SBOL)设计的操作,使用Microsoft Excel®表作为元数据输入。该工具为SBOL文档的操作和与SynBioHub的交互提供了几个实用程序:例如,基于原始设计模板生成质粒库,批量沉积到SynBioHub中,或者用注释和作者信息注释现有的SBOL组件定义。该工具用于生成3661个蓝藻胞囊质粒并将其存储到公共SynBioHub存储库中。在开发软件和上传这些数据的过程中,我们评估了SynBioHub平台和SBOL生态系统的一些方面,并讨论了可以使用户社区受益的改进建议。通过像SynBio2Easy这样的软件,我们的目标是提供一个用户驱动的工具,使FAIR在合成生物学研究项目生命周期的所有阶段都成为现实。图形抽象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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