Stephan Christian, Eisenacher Martin, Kohl Michael, Meyer Helmut E
Medizinisches Proteom-Center (MPC), Ruhr-Universitaet Bochum, Bochum, Germany.
Methods Mol Biol. 2010;604:345-68. doi: 10.1007/978-1-60761-444-9_24.
In Proteomics, fast enhancements with regard to technology are responsible for the creation of huge data sets. Consequently, in 2006 the European Commission funded a Coordination Action named ProDaC (Proteomics Data Collection) within the 6th EU Framework Programme to foster a community-wide data collection and data sharing. The aims of ProDaC were the development of documentation and storage standards, setup of a standardized data submission pipeline and collection of data.To reach these goals, the necessary work was structured in six thematic fields (work packages): Standards for Proteomics Data Representation, Standards Implementation, Data Integration Tools, Proteomics Repository Adaptation, Data Flow Management, and Proteomics Data Exploitation. The methods building the basis of the respective fields and the achieved results are described in the following sections.
在蛋白质组学中，技术的快速进步催生了海量数据集。因此，2006年欧盟委员会在第六个欧盟框架计划内资助了一项名为ProDaC（蛋白质组学数据收集）的协调行动，以促进全社区的数据收集和数据共享。ProDaC的目标是制定文档和存储标准、建立标准化的数据提交流程以及收集数据。为实现这些目标，必要的工作被划分为六个主题领域（工作包）：蛋白质组学数据表示标准、标准实施、数据集成工具、蛋白质组学知识库适配、数据流管理以及蛋白质组学数据利用。构建各个领域基础的方法和取得的成果将在以下各节中描述。
