Functional Genomics workgroup is focusing on large-scale computational analysis of high-throughput genomic data to understand the molecular mechanism involved in complex physiological processes such as animal hibernation and circadian rhythm. In the past, we have successfully applied computational and statistical methods to identify the differentially expressed genes and key functional pathways during animal hibernation. Currently, we are developing computational methods to combine literature information, gene expression data, and promoter sequence data to construct gene regulatory networks for mammalian circadian rhythm. In the future, we will develop novel algorithms to analyze complex biological networks to identify functional modules and compare different networks. We will also use mathematical modeling and computer simulation to study the complex dynamics of these biological networks.