Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
Tested on:
Windows 10 Pro Version 1809 / Firefox 65
Windows 10 Pro Version 1809 / Chrome 72
Windows 10 Pro Version 1809 / Edge 44
Windows 10 Pro Version 1809 / Opera 58
Ubuntu 16.04 / Firefox 64
Ubuntu 16.04 / Chrome 72
Ubuntu 16.04 / Opera 58
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