Hierarchical cluster analysis made easy. eSOMet is a new software that combines established algorithms like hierarchical cluster analysis (HCA) with modern methods like emergent self-organizing maps (ESOMs) and integrates those in an analysis pipeline for metabolome analysis and visualization. Underlying relationships within a series of metabolomics data are deduced. The functionality of the tool covers the ability of biomarker discovery, detection of statistical outliers and the automatic mapping of detected metabolic differences onto KEGG metabolic pathway maps Biomarkers are metabolites with a characteristic concentration pattern for an analyzed environmental condition or genetic background.

Requirements:
* Java

The license of this software is Free, you can free download and free use this graphing software.