Craig Thomas, Holland Richard, D'Amore Rosalinda, Johnson James R, McCue Hannah V, West Anthony, Zulkower Valentin, Tekotte Hille, Cai Yizhi, Swan Daniel, Davey Robert P, Hertz-Fowler Christiane, Hall Anthony, Caddick Mark
GeneMill, University of Liverpool , Liverpool L69 7ZB, U.K.
New Forest Ventures Ltd. , Fordingbridge SP6 1QX, U.K.
ACS Synth Biol. 2017 Dec 15;6(12):2273-2280. doi: 10.1021/acssynbio.7b00212. Epub 2017 Sep 13.
This paper presents Leaf LIMS, a flexible laboratory information management system (LIMS) designed to address the complexity of synthetic biology workflows. At the project's inception there was a lack of a LIMS designed specifically to address synthetic biology processes, with most systems focused on either next generation sequencing or biobanks and clinical sample handling. Leaf LIMS implements integrated project, item, and laboratory stock tracking, offering complete sample and construct genealogy, materials and lot tracking, and modular assay data capture. Hence, it enables highly configurable task-based workflows and supports data capture from project inception to completion. As such, in addition to it supporting synthetic biology it is ideal for many laboratory environments with multiple projects and users. The system is deployed as a web application through Docker and is provided under a permissive MIT license. It is freely available for download at https://leaflims.github.io .
本文介绍了Leaf LIMS，这是一个灵活的实验室信息管理系统（LIMS），旨在应对合成生物学工作流程的复杂性。在项目启动时，缺乏专门针对合成生物学流程设计的LIMS，大多数系统专注于下一代测序或生物样本库以及临床样本处理。Leaf LIMS实现了集成的项目、物品和实验室库存跟踪，提供完整的样本和构建谱系、材料和批次跟踪以及模块化检测数据捕获。因此，它支持高度可配置的基于任务的工作流程，并支持从项目启动到完成的数据捕获。因此，除了支持合成生物学外，它对于许多有多个项目和用户的实验室环境来说也是理想之选。该系统通过Docker作为Web应用程序进行部署，并根据宽松的MIT许可提供。可在https://leaflims.github.io上免费下载。
