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A platform to standardize, store, and visualize proteomics experimental data

机译:标准化,存储和可视化蛋白质组学实验数据的平台

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With the development of functional genomics research, large-scale proteomics studies are now widespread, presenting significant challenges for data storage, exchange, and analysis. Here we present the Integrated Proteomics Exploring Database (IPED) as a platform for managing proteomics experimental data (both process and result data). IPED is based on the schema of the Proteome Experimental Data Repository (PEDRo), and complies with the General Proteomics Standard (GPS) drafted by the Proteomics Standards Committee of the Human Proteome Organization. In our work, we developed three components for the IPED platform: the IPED client editor, IPED server software, and IPED web interface. The client editor collects experimental data and generates an extensible markup language (XML) data file compliant with PEDRo and GPS; the server software parses the XML data file and loads information into a core database; and the web interface displays experimental results, to provide a convenient graphic representation of data. Given software convenience and data abundance, IPED is a powerful platform for data exchange and presents an important resource for the proteomics community. In its current release, IPED is available at http://www.biosino.org/iped2.
机译:随着功能基因组学研究的发展,大规模的蛋白质组学研究现已广泛开展,对数据存储,交换和分析提出了重大挑战。在这里,我们介绍综合蛋白质组学探索数据库(IPED),作为管理蛋白质组学实验数据(过程数据和结果数据)的平台。 IPED基于蛋白质组实验数据存储库(PEDRo)的架构,并符合人类蛋白质组组织蛋白质组标准委员会起草的通用蛋白质组标准(GPS)。在我们的工作中,我们为IPED平台开发了三个组件:IPED客户端编辑器,IPED服务器软件和IPED Web界面。客户端编辑器收集实验数据并生成符合PEDRo和GPS的可扩展标记语言(XML)数据文件;服务器软件解析XML数据文件并将信息加载到核心数据库中;网络界面显示实验结果,以提供方便的数据图形表示。鉴于软件的便利性和数据量,IPED是强大的数据交换平台,并为蛋白质组学界提供了重要资源。在当前版本中,IPED可从http://www.biosino.org/iped2获得。

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  • 来源
    《Acta Biochimica et Biophysica Sinica》 |2009年第4期|p.273-279|共7页
  • 作者单位

    1Bioinformation Center, Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China 2School of Life Sciences, Fudan University, Shanghai 200433, China 3Shanghai Center for Bioinformation Technology, 100 Qinzhou Road, Shanghai 200235, China 4Graduate School of the Chinese Academy of Sciences, Beijing 100039, China 5Research Center for Proteome Analysis, Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;

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  • 入库时间 2022-08-18 01:11:38

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