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Metabolonote: A Wiki-Based Database for Managing Hierarchical Metadata of Metabolome Analyses

机译:Metabolonote:基于Wiki的数据库,用于管理代谢物组分析的分层元数据

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Metabolomics—technology for comprehensive detection of small molecules in an organism—lags behind the other “omics” in terms of publication and dissemination of experimental data. Among the reasons for this are difficulty precisely recording information about complicated analytical experiments (metadata), existence of various databases with their own metadata descriptions, and low reusability of the published data, resulting in submitters (the researchers who generate the data) being insufficiently motivated. To tackle these issues, we developed Metabolonote, a Semantic MediaWiki-based database designed specifically for managing metabolomic metadata. We also defined a metadata and data description format, called “TogoMD,” with an ID system that is required for unique access to each level of the tree-structured metadata such as study purpose, sample, analytical method, and data analysis. Separation of the management of metadata from that of data and permission to attach related information to the metadata provide advantages for submitters, readers, and database developers. The metadata are enriched with information such as links to comparable data, thereby functioning as a hub of related data resources. They also enhance not only readers' understanding and use of data, but also submitters' motivation to publish the data. The metadata are computationally shared among other systems via APIs, which facilitates the construction of novel databases by database developers. A permission system that allows publication of immature metadata and feedback from readers also helps submitters to improve their metadata. Hence, this aspect of Metabolonote, as a metadata preparation tool, is complementary to high-quality and persistent data repositories such as MetaboLights. A total of 808 metadata for analyzed data obtained from 35 biological species are published currently. Metabolonote and related tools are available free of cost at http://metabolonote.kazusa.or.jp/.
机译:代谢组学是一种用于全面检测生物中小分子的技术,在出版和传播实验数据方面落后于其他“组学”。造成这种情况的原因包括难以准确记录有关复杂分析实验(元数据)的信息,存在具有自己的元数据描述的各种数据库以及已发布数据的可重用性低,导致提交者(生成数据的研究人员)缺乏积极性。为了解决这些问题,我们开发了Metabolonote,这是一种基于MediaWiki的语义数据库,专门用于管理代谢组元数据。我们还定义了一种元数据和数据描述格式,称为“ TogoMD”,它具有一个ID系统,该ID系统用于唯一访问树状结构元数据的各个级别,例如研究目的,样品,分析方法和数据分析。将元数据管理与数据管理分开,以及将相关信息附加到元数据的权限为提交者,阅读者和数据库开发人员提供了好处。元数据中充斥着诸如可比较数据的链接之类的信息,从而充当了相关数据资源的枢纽。它们不仅增强了读者对数据的理解和使用,而且还增强了提交者发布数据的动力。元数据通过API在其他系统之间以计算方式共享,这有助于数据库开发人员构建新颖的数据库。允许发布未成熟的元数据和来自读者的反馈的权限系统还可以帮助提交者改善其元数据。因此,作为元数据准备工具的Metabolonote的这一方面是对诸如MetaboLights之类的高质量且持久的数据存储库的补充。当前共发布了808个元数据,用于从35个生物物种获得的分析数据。可从http://metabolonote.kazusa.or.jp/免费获得Metabolonote和相关工具。

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