Relevant Group Publications: BMC Syst Biol 2009

While details about many GRNs are emerging, their extent of completeness is unknown. This uncertainty stems from limited experimental data, which is the main bottleneck for creating detailed dynamical models of cellular processes. We developed a method, based on random parameter estimations through Monte-Carlo simulations to measure completeness grades of GRNs which we applied on the californian sea urchin Endomesoderm GRN [1]. Our method could be especially useful for GRNs involved in human diseases, where often the amount of connectivity is unknown and/or many genes/interactions are missing.