The composition and quantitative assessment of possibly all metabolites in cells, and also in all cells, intercellular space, tissues, biofluids, incorporated and excreted materials, pathways and fluxes, as well as their temporal evolution in multicellular, complex living systems are subjects of metabolomics and metabonomics studies, respectively. Reliable and reproducible quantitative analytical measurements in combination with nonsupervised and supervised statistical analysis provide a key to find overall diagnostic information and make component level assessment to characterise these systems and their conditions. Integration of various analytical technologies across the '-omics' fields, especially when this integration is done using statistical tools offer an unprecedented and largely unbiased insight into the molecular processes. Diagnostic classification and component level analysis help to characterize various conditions, disease and response to treatment, and to understand better the fundamental biological principles of life.

Pelczer, I.; "High-resolution NMR for metabomics" Curr. Op. Drug Disc. Devel., 8(1)(2005)127-133

Hodavance, M. S., Ralston, S. R., Pelczer, I.; "Beyond Blood Sugar: The Potential of NMR-based Metabonomics for Human Diabetes Type 2 and the Horse as a Possible Model" Analytical and Bioanalytical Chemistry ("Metabonomics, Metabolomics and Metabolic Profiling" special issue) 387(2007)533-537

Nicholson JK; "Global systems biology, personalized medicine and molecular epidemiology" Molecular Systems Biology (3 October 2006), Editorial, p.1-6