SIGLa: an adaptable LIMS for multiple laboratories

SIGLa: an adaptable LIMS for multiple laboratories
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DOI:
10.1186/1471-2164-11-s5-s8
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发表时间:
2010-12-22
期刊:
影响因子:
4.4
通讯作者:
Campos, Sergio
Campos, Sergio
中科院分区:
生物学2区
文献类型:
--
作者:
Melo, Alexandre;Faria-Campos, Alessandra;Campos, Sergio

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背景:管理大量数据的需求是当今实验室的明确需求。实验室信息管理系统(LIMS)的使用正在日益增长。LIMS是一个复杂的计算系统,用于管理实验室数据,重点是质量保证。目前有几个LIMS可用。然而,它们中的大多数都有专有代码,并且以很高的成本商业化。此外,由于其复杂性,LIMS通常被设计为符合一种实验室的需要,使得LIMS的重用非常困难。在这项工作中,我们描述了系统集成的Gerencia的Escheratorios(SIGLa),一个开源的LIMS与一种新的方法,旨在使其适应其活动和流程,以各种类型的laborators.Results:SIGLa采用了工作流管理系统,使其能够创建和管理定制的工作流。对于每个新实验室,都定义了工作流程及其活动、规则和程序。在执行过程中,对于创建的每个工作流,XPDL文件(描述工作流)中定义的属性值存储在SIGLa的数据库中,允许根据请求进行管理和检索。这些特性增加了系统的灵活性,并扩展了其可用性,以满足多种类型实验室的需求。为了构建SIGLa的主要功能,首先定义了蛋白质组学实验室的工作流程。为了验证SIGLa适应多个实验室的能力,本文研究了微阵列实验室的流程和需求,并定义了其工作流程。这个工作流程已被定义在一段时间内约两个星期,显示的效率和灵活性的tools.Conclusions:使用SIGLa,它已经可以构建一个微阵列LIMS在几天内说明了所提出的方法的灵活性和权力。随着SIGLa的发展,我们希望通过管理其大量数据,保证数据的一致性和提高实验室生产率,为实验室复杂数据的管理领域做出积极贡献。我们也希望能够使实验室的资源很少,以提供一个高层次的系统,复杂的数据管理。
Background: The need to manage large amounts of data is a clear demand for laboratories nowadays. The use of Laboratory Information Management Systems (LIMS) to achieve this is growing each day. A LIMS is a complex computational system used to manage laboratory data with emphasis in quality assurance. Several LIMS are available currently. However, most of them have proprietary code and are commercialized with a high cost. Moreover, due to its complexity, LIMS are usually designed to comply with the needs of one kind of laboratory, making it very difficult to reuse a LIMS. In this work we describe the Sistema Integrado de Gerencia de Laboratorios (SIGLa), an open source LIMS with a new approach designed to allow it to adapt its activities and processes to various types of laboratories.Results: SIGLa incorporates a workflow management system, making it possible to create and manage customized workflows. For each new laboratory a workflow is defined with its activities, rules and procedures. During the execution, for each workflow created, the values of attributes defined in a XPDL file (which describe the workflow) are stored in SIGLa's database, allowing then to be managed and retrieved upon request. These characteristics increase system's flexibility and extend its usability to include the needs of multiple types of laboratories. To construct the main functionalities of SIGLa a workflow of a proteomic laboratory was first defined. To validate the SIGLa capability of adapting to multiples laboratories, on this paper we study theprocess and the needs of a microarray laboratory and define its workflow. This workflow has been defined in a period of about two weeks, showing the efficiency and flexibility of the tool.Conclusions: Using SIGLa it has been possible to construct a microarray LIMS in a few days illustrating the flexibility and power of the method proposed. With SIGLa's development we hope to contribute positively to the area of management of complex data in laboratory by managing its large amounts of data, guaranteeing the consistence of the data and increasing the laboratory productivity. We also hope to make possible to laboratories with little resources to afford a high level system for complex data management.