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/.
The maximum number of components for the MS1 analysis is the number of samples minus one. However, the selectable number of components is fixed to 5 which can result in an error in case of a number of samples of five or less
The maximum number of components for the MS1 analysis is the number of samples minus one. However, the selectable number of components is fixed to 5 which can result in an error in case of a number of samples of five or less