Many of the high-throughput experimental methods used to determine the function of genes and proteins are both expensive and error-prone. However, biologically-relevant patterns can still be discerned in the global network topology. Much analysis has been done on the topology of genomic networks in recent years. Our work focuses on using global network properties such as small-world or scale-free topology to gain specific biological insights from these experimentally-derived networks.