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/.
Minimal example of testing the shiny app.
TODO:
[] Integrate into CI
[] few more tests
[] undo/avoid the ifelse in ui.R that avoids the changing timestamp under testing
sneumann
commented
5 months ago
Minimal example of testing the shiny app. TODO: [] Integrate into CI [] few more tests [] undo/avoid the
ifelsein ui.R that avoids the changing timestamp under testing