Häkkinen Jari, Levander Fredrik
Department of Oncology, Clinical Sciences, Lund University, Lund, Sweden.
Methods Mol Biol. 2011;696:79-92. doi: 10.1007/978-1-60761-987-1_5.
Proteomic experiments can be difficult to handle because of the large amount of data in different formats that is generated. Samples need to be managed and generated, data needs to be integrated with samples and annotation information. A laboratory information management system (LIMS) can be used to overcome some of the data handling problems. In this chapter, we discuss the role of a LIMS in the proteomics laboratory, and show two step-by-step examples of usage of the Proteios Software Environment (ProSE) to handle two different proteomics workflows.
蛋白质组学实验由于会生成大量不同格式的数据而可能难以处理。样本需要进行管理和生成，数据需要与样本及注释信息进行整合。实验室信息管理系统（LIMS）可用于克服一些数据处理问题。在本章中，我们将讨论LIMS在蛋白质组学实验室中的作用，并展示两个逐步示例，说明如何使用蛋白质组学软件环境（ProSE）来处理两种不同的蛋白质组学工作流程。
