We also use reverse engineering approaches to look into organization and operations of gene regulation networks. We are especially interested in understanding the function of network motifs with presence of noise and temporal dynamics. In this line of work, we mostly employ theoretical and computational approaches by borrowing concepts from nonlinear dynamics and statistics.