 Krohs and Callebaut (2007) consider omics-disciplines a third dimension or root of systems biology due to the impact of data-rich modeling strategies on the development of the  approach.[2]  Omics fields allow for large-scale measurements of relations between vast number of molecular components (e.g., genes or associated protein concentrations). Since modeling tools in molecular biology have limited capacity for handling large quantitative datasets, researchers turned to the exploration and further development of mathematical and computational strategies developed in engineering and physics (Alberghina &amp; Westerhoff 2005).