| Gene regulatory networks lie at the heart of cellular computation. They regulate the cell cycle, orchestrate cell development, and allow the integration of different intra- and extra-cellular signals. We use a combination of database analyses, computer simulations and theory to elucidate the design principles that allow gene regulatory networks to process information reliably. We show that the molecular character of the components makes gene regulatory networks intrinsically stochastic and thus prone to biochemical noise, yet also allow them to process information in a very sophisticated manner. |
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