Related Experiment Video
Updated: Dec 23, 2025
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
MIAMI--a tool for non-targeted detection of metabolic flux changes for mode of action identification
Christian-Alexander Dudek1, Carsten Reuse1, Regine Fuchs2
1Department of Bioinformatics and Biochemistry, Technische Universität Braunschweig, Braunschweig 38106, Germany.
Summary:
Mass isotopolome analysis for mode of action identification (MIAMI) combines the strengths of targeted and non-targeted approaches to detect metabolic flux changes in gas chromatography/mass spectrometry datasets. Based on stable isotope labeling experiments, MIAMI determines a mass isotopomer distribution-based (MID) similarity network and incorporates the data into metabolic reference networks. By identifying MID variations of all labeled compounds between different conditions, targets of metabolic changes can be detected.
Availability And Implementation:
We implemented the data processing in C++17 with Qt5 back-end using MetaboliteDetector and NTFD libraries. The data visualization is implemented as web application. Executable binaries and visualization are freely available for Linux operating systems, the source code is licensed under General Public License version 3.
