Jones Andrew R, Lister Allyson L
Department of Pre-clinical Veterinary Science, Faculty of Veterinary Science, University of Liverpool, Liverpool, UK.
Methods Mol Biol. 2010;604:333-43. doi: 10.1007/978-1-60761-444-9_23.
Data management and sharing in omics science is highly challenging due to the constant evolution of experimental techniques, the range of instrument types and software used for analysis, and the high volumes of data produced. The Functional Genomics Experiment (FuGE) Model was created to provide a model for capturing descriptions of sample processing, experimental protocols and multidimensional data for any kind of omics experiment. FuGE has two modes of action: (a) as a storage architecture for experimental workflows and (b) as a framework for building new technology-specific data standards.FuGE is an object model that is converted into an XML implementation for data exchange. Software toolkits have been developed for data handling and for bridging between XML data files and relational database implementations. FuGE has been adopted by the Proteomics Standards Initiative (PSI, http://www.psidev.info ) for building several new data formats, and it is being used in a variety of other experimental contexts, thus allowing data to be integrated across a range of experimental types to support Systems Biology approaches. This chapter provides a practical guide for laboratories or groups wishing to manage their data, and for developers wishing to create new data formats using FuGE.
由于实验技术不断发展、用于分析的仪器类型和软件种类繁多,以及产生的数据量巨大,组学科学中的数据管理和共享极具挑战性。功能基因组学实验(FuGE)模型旨在为各种组学实验提供一个用于捕获样本处理、实验方案和多维数据描述的模型。FuGE有两种作用方式:(a)作为实验工作流程的存储架构;(b)作为构建新技术特定数据标准的框架。FuGE是一个对象模型,会被转换为用于数据交换的XML实现。已经开发了软件工具包用于数据处理以及在XML数据文件和关系数据库实现之间建立桥梁。FuGE已被蛋白质组学标准倡议组织(PSI,http://www.psidev.info )采用以构建多种新的数据格式,并且它正被用于各种其他实验环境中,从而允许跨一系列实验类型整合数据以支持系统生物学方法。本章为希望管理其数据的实验室或团队,以及希望使用FuGE创建新数据格式的开发者提供实用指南。