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/.
Hi, are the images exported after an analysis of publication ready quality and resolution ? If not, what needs fixing in https://github.com/ipb-halle/MetFamily/blob/91d5774bb22af22415c9141dd5f2d430c1ad26b1/MetFamily/app_files/server_functionsDownloads.R#L366 and https://github.com/ipb-halle/MetFamily/blob/91d5774bb22af22415c9141dd5f2d430c1ad26b1/MetFamily/app_files/server_functionsDownloads.R#L455 to improve the resolution ? Yours, Steffen