A proposed framework for the description of plant metabolomics experiments and their results
A proposed framework for the description of plant metabolomics experiments and their results
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DOI：
10.1038/nbt1041
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发表时间：
2004-12-01
影响因子：
46.9
通讯作者：
Kell, DB
中科院分区：
文献类型：
--
作者：
Jenkins, H;Hardy, N;Kell, DB
对生物样品的代谢物补体（称为代谢组学）的研究正在创建大量数据，并且需要支持处理这些数据集的支持，以促进有意义的分析，以回答生物学问题。我们提出了一种被称为Ambet的植物代谢组学的数据模型（代谢组学的结构）。它涵盖了从实验定义和生物源材料的描述，通过样品生长和制备到化学分析结果的整个实验时间线。指定完整实验环境的这种形式数据描述可以对数据集进行原则比较，可以正确解释实验结果，允许重复实验，并为数据存储和传输的系统设计提供了基础。当前的设计和示例实现是免费可用的（http://www.armet.org/）。我们试图提高讨论和社区的采用代谢组学标准，该标准将促进实验数据的原则收集，存储和传输。
The study of the metabolite complement of biological samples, known as metabolomics, is creating large amounts of data, and support for handling these data sets is required to facilitate meaningful analyses that will answer biological questions. We present a data model for plant metabolomics known as ArMet (architecture for metabolomics). It encompasses the entire experimental time line from experiment definition and description of biological source material, through sample growth and preparation to the results of chemical analysis. Such formal data descriptions, which specify the full experimental context, enable principled comparison of data sets, allow proper interpretation of experimental results, permit the repetition of experiments and provide a basis for the design of systems for data storage and transmission. The current design and example implementations are freely available (http://www.armet.org/). We seek to advance discussion and community adoption of a standard for metabolomics, which would promote principled collection, storage and transmission of experiment data.