Voegele C, Tavtigian S V, de Silva D, Cuber S, Thomas A, Le Calvez-Kelm F
International Agency for Research on Cancer, Lyon, France.
Bioinformatics. 2007 Sep 15;23(18):2504-6. doi: 10.1093/bioinformatics/btm365. Epub 2007 Aug 20.
High throughput mutation screening in an automated environment generates large data sets that have to be organized and stored reliably. Complex multistep workflows require strict process management and careful data tracking. We have developed a Laboratory Information Management Systems (LIMS) tailored to high throughput candidate gene mutation scanning and resequencing that respects these requirements. Designed with a client/server architecture, our system is platform independent and based on open-source tools from the database to the web application development strategy. Flexible, expandable and secure, the LIMS, by communicating with most of the laboratory instruments and robots, tracks samples and laboratory information, capturing data at every step of our automated mutation screening workflow. An important feature of our LIMS is that it enables tracking of information through a laboratory workflow where the process at one step is contingent on results from a previous step.
Script for MySQL database table creation and source code of the whole JSP application are freely available on our website: http://www-gcs.iarc.fr/lims/.
System server configuration, database structure and additional details on the LIMS and the mutation screening workflow are available on our website: http://www-gcs.iarc.fr/lims/
在自动化环境中进行高通量突变筛选会生成必须可靠组织和存储的大量数据集。复杂的多步骤工作流程需要严格的流程管理和仔细的数据跟踪。我们开发了一种专门针对高通量候选基因突变扫描和重测序的实验室信息管理系统(LIMS),该系统符合这些要求。我们的系统采用客户端/服务器架构设计,与平台无关,基于从数据库到Web应用程序开发策略的开源工具。该LIMS灵活、可扩展且安全,通过与大多数实验室仪器和机器人通信,跟踪样本和实验室信息,在自动化突变筛选工作流程的每个步骤捕获数据。我们LIMS的一个重要特性是,它能够在实验室工作流程中跟踪信息,其中一个步骤的过程取决于前一步骤的结果。
MySQL数据库表创建脚本和整个JSP应用程序的源代码可在我们的网站上免费获取:http://www-gcs.iarc.fr/lims/。
系统服务器配置、数据库结构以及有关LIMS和突变筛选工作流程的其他详细信息可在我们的网站上获取:http://www-gcs.iarc.fr/lims/