 Metabolomics is a rapidly growing field of study that uses advanced analytical methods to measure the chemical composition of living organisms. It has the potential to provide valuable insight into the underlying mechanisms of disease and drug response, as well as providing novel biomarkers for diagnosis and treatment. Recent developments in the analysis of metabolomic data include the use of Gaussian graphical models and independent component analysis, ICA. These techniques are able to identify patterns in metabolite concentrations that would otherwise remain hidden, allowing for more accurate interpretation of the data. This article was authored by George Bartle, Jan Krumsek, and Fabian J. Tice.