BMC Bioinformatics. 2014;15 Suppl 1(Suppl 1):S13. doi: 10.1186/1471-2105-15-S1-S13. Epub 2014 Jan 10.
In recent years, the experimental aspects of the laboratory activities have been growing in complexity in terms of amount and diversity of data produced, equipment used, of computer-based workflows needed to process and analyze the raw data generated. To enhance the level of quality control over the laboratory activities and efficiently handle the large amounts of data produced, a Laboratory Management Information System (LIMS) is highly-recommended. A LIMS is a complex software platform that helps researchers to have a complete knowledge of the laboratory activities at each step encouraging them to adopt good laboratory practices.
We have designed and implemented Quality and TRacEability Data System--QTREDS, a software platform born to address the specific needs of the CRS4 Sequencing and Genotyping Platform (CSGP). The system written in the Ruby programming language and developed using the Rails framework is based on four main functional blocks: a sample handler, a workflow generator, an inventory management system and a user management system. The wizard-based sample handler allows to manage one or multiple samples at a time, tracking the path of each sample and providing a full chain of custody. The workflow generator encapsulates a user-friendly JavaScript-based visual tool that allows users to design customized workflows even for those without a technical background. With the inventory management system, reagents, laboratory glassware and consumables can be easily added through their barcodes and minimum stock levels can be controlled to avoid shortages of essential laboratory supplies. QTREDS provides a system for privileges management and authorizations to create different user roles, each with a well-defined access profile.
Tracking and monitoring all the phases of the laboratory activities can help to identify and troubleshoot problems more quickly, reducing the risk of process failures and their related costs. QTREDS was designed to address the specific needs of the CSGP laboratory, where it has been successfully used for over a year, but thanks to its flexibility it can be easily adapted to other "omics" laboratories. The software is freely available for academic users from http://qtreds.crs4.it.
近年来,实验室活动的实验方面在数量和产生的数据多样性、所使用的设备、处理和分析生成的原始数据所需的基于计算机的工作流程方面变得越来越复杂。为了提高对实验室活动的质量控制水平,并高效处理产生的大量数据,强烈推荐使用实验室管理信息系统(LIMS)。LIMS 是一个复杂的软件平台,可帮助研究人员在每个步骤中全面了解实验室活动,鼓励他们采用良好的实验室实践。
我们设计并实现了质量和可追溯性数据系统——QTREDS,这是一个软件平台,旨在满足 CRS4 测序和基因分型平台(CSGP)的特定需求。该系统采用 Ruby 编程语言编写,并使用 Rails 框架开发,基于四个主要功能模块:样本处理程序、工作流程生成器、库存管理系统和用户管理系统。基于向导的样本处理程序允许一次管理一个或多个样本,跟踪每个样本的路径,并提供完整的监管链。工作流程生成器封装了一个用户友好的基于 JavaScript 的可视化工具,允许用户设计定制的工作流程,即使是没有技术背景的用户也可以使用。通过库存管理系统,可以通过其条形码轻松添加试剂、实验室玻璃器皿和消耗品,并可以控制最低库存水平,以避免关键实验室用品短缺。QTREDS 提供了一个特权管理和授权系统,用于创建不同的用户角色,每个角色都具有明确定义的访问配置文件。
跟踪和监控实验室活动的所有阶段有助于更快地识别和解决问题,降低过程故障及其相关成本的风险。QTREDS 是为 CSGP 实验室的特定需求而设计的,已经在该实验室成功使用了一年多,但由于其灵活性,它可以很容易地适应其他“组学”实验室。该软件可从 http://qtreds.crs4.it 免费获取,供学术用户使用。