Department of Computer Science, Aberystwyth University, Penglais, Aberystwyth, SY23 3DB, UK.
Bioinformatics. 2012 May 15;28(10):1390-7. doi: 10.1093/bioinformatics/bts140. Epub 2012 Mar 29.
Modern automated laboratories need substantial data management solutions to both store and make accessible the details of the experiments they perform. To be useful, a modern Laboratory Information Management System (LIMS) should be flexible and easily extensible to support evolving laboratory requirements, and should be based on the solid foundations of a robust, well-designed database. We have developed such a database schema to support an automated laboratory that performs experiments in systems biology and high-throughput screening.
We describe the design of the database schema (AutoLabDB), detailing the main features and describing why we believe it will be relevant to LIMS manufacturers or custom builders. This database has been developed to support two large automated Robot Scientist systems over the last 5 years, where it has been used as the basis of an LIMS that helps to manage both the laboratory and all the experiment data produced.
现代自动化实验室需要大量的数据管理解决方案来存储和访问它们执行的实验细节。为了有用,一个现代的实验室信息管理系统(LIMS)应该是灵活的,并且易于扩展以支持不断发展的实验室需求,并且应该基于一个健壮的、设计良好的数据库的坚实基础。我们已经开发了这样的数据库模式来支持一个自动化实验室,该实验室在系统生物学和高通量筛选中进行实验。
我们描述了数据库模式(AutoLabDB)的设计,详细说明了主要功能,并描述了为什么我们认为它将与 LIMS 制造商或定制构建者相关。这个数据库已经开发了 5 年,用于支持两个大型的自动化机器人科学家系统,它被用作一个 LIMS 的基础,帮助管理实验室和所有产生的实验数据。