The Metabolic Network Segmentation (MNS) toolbox contains algorithms employing Markov random fields to identify sites and sequential order of metabolic regulations from large-scale metabolomics datasets and genome-scale metabolic network reconstructions. In version 2 we added the possibility to extract active metabolic modules, i.e. subgraphs, from metabolomics or mixed metabolomics, transcriptomics data. The toolbox is implemented in Matlab and calls specific C++ functions of the OpenGM toolbox (http://hciweb2.iwr.uni-heidelberg.de/opengm/). The toolbox can be run on Windows and Mac operating systems.
Copy/unpack the MNS toolbox on your hard drive. IMPORTANT: Make sure that the path in which you install the MNS toolbox has no blank character otherwise the toolbox won’t run in Matlab. Start Matlab, go to the folder of the MNS toolbox and initialize the toolbox by executing
Detailed documentation for MNS toolbox v1 can be found in the doc subfolder
Application examples for different applications are in the example subfolder
Kuehne A, Mayr U, Sévin DC, Claassen M, Zamboni N (2017) Metabolic network segmentation: A probabilistic graphical modeling approach to identify the sites and sequential order of metabolic regulation from non-targeted metabolomics data. PLoS Comput Biol 13(6): e1005577. https://doi.org/10.1371/journal.pcbi.1005577