Development of the Golm Metabolome Database as a central plant metabolomics information resource.

代谢组学已成为研究细胞过程的核心技术。近年来，标准化的方法和计算方法已经开发，使代谢组学数据集获得不同的样品和不同的研究小组可比，并创造新的机会，他们的综合分析。这种潜力目前在代谢组学领域没有得到利用，重要的数据通常作为补充文件分散。充分的中央信息基础设施资源在很大程度上仍然缺乏。我们计划建立信息基础设施，使研究人员能够存款，查询以及分析代谢组学概况数据。我们将建立在已经开发的戈尔姆代谢组数据库（GMD），重点是植物代谢组学数据。我们建议进一步开发GMD，以整合代谢物谱数据集，并创建专门针对其基于网络的演示，集成和分析的基础设施。此外，我们计划整合和上传全面的植物代谢物分析数据集，作为其他研究人员的参考集（植物代谢物图谱（PMA））。因此，我们打算建立一个中央和广泛可用的植物代谢组学数据资源和分析平台。

Metabolomics has emerged as a central technology to study cellular processes. In recent years, standardized methodological and computational approaches have been developed rendering metabolomics datasets obtained for different samples and by different research groups comparable and creating new opportunities for their integrative analysis. This potential is currently not utilized in the metabolomics field and important data are typically dispersed as supplementary files. Adequate centralized information infrastructure resources are still largely missing. We plan to establish the information infrastructure that allows researchers to deposit, query as well as analyze metabolomic profile data. We will build upon the already developed Golm Metabolome Database (GMD) that is focused on plant metabolomic data. We propose to further develop the GMD to integrate metabolite profile datasets and to create the infrastructure specifically tailored towards their web-based presentation, integration and analysis. Furthermore, we plan to integrate and upload comprehensive plant metabolite profiling datasets to serve as reference sets (Plant Metabolite Atlas (PMA)) for other researchers. Thus, we intend to establish a central and broadly available plant-centric metabolomics profile data resource and analysis platform.