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The goal of the in silico network challenge is to reverse engineer gene regulation networks from simulated steady-state and time-series data. Participants are challenged to infer the network structure from the given in silico gene expression datasets. Optionally, participants may also predict the response of the networks to a set of novel perturbations that were not included in the provided datasets.