GAM specifications

Unique identifier:
Web user interface
Input data:
The analysis takes as input differential expression (DE) tables for genes and/or metabolites between two conditions of interest containing all expressed genes (whether they are differentially expressed or not).
Computer skills:
Genes And Metabolites
Restrictions to use:
Output data:
The output is the most regulated metabolic subnetwork of size controlled by false discovery rate parameters. The subnetworks are then visualized online and also can be downloaded in Cytoscape format for subsequent processing.

GAM distribution


GAM support


  • Alexey Sergushichev <>


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Computer Technologies Department, ITMO University, Saint Petersburg, Russia; Department of Pathology & Immunology, Washington University in St. Louis, St. Louis, MO, USA; Agios Pharmaceuticals, Cambridge, MA, USA; Goodman Cancer Research Centre, McGill University, Montreal, Canada; Department of Physiology, McGill University, Montreal, QC, Canada; General Metabolics, Winchester, MA, USA; Department of Immunometabolism, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany

Funding source(s)

Supported by Government of Russian Federation [074-U01]

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