Collaborative Mass Spectrometry Innovation Center, University of California, San Diego, La Jolla, CA, USA.
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
Nat Methods. 2020 Sep;17(9):901-904. doi: 10.1038/s41592-020-0916-7. Epub 2020 Aug 17.
We present ReDU ( https://redu.ucsd.edu/ ), a system for metadata capture of public mass spectrometry-based metabolomics data, with validated controlled vocabularies. Systematic capture of knowledge enables the reanalysis of public data and/or co-analysis of one's own data. ReDU enables multiple types of analyses, including finding chemicals and associated metadata, comparing the shared and different chemicals between groups of samples, and metadata-filtered, repository-scale molecular networking.
我们介绍了 ReDU(https://redu.ucsd.edu/),这是一个用于捕获基于公共质谱的代谢组学数据的元数据的系统,具有经过验证的受控词汇表。知识的系统捕获使得公共数据的重新分析和/或自身数据的共同分析成为可能。ReDU 支持多种类型的分析,包括发现化学物质和相关元数据、比较样本组之间的共享和不同的化学物质,以及元数据过滤、存储库规模的分子网络。