We are interested in the broad area of bioinformatics primarily Cancer Bioinformatics.We develop independent research projects to study important biological problems. We also collaborate actively with other investigators university-wide, nationally and internationally. Our current research topics are
Cancer bioinformatics
Noncoding RNA genes in cancer; gene fusion using Next-Gen sequencing technology; microarray gene expression profiling (GEP) in differnet cancer/tumors; GWAS analysis in cancer studies; methylation pattern in cancer cell lines or tumor tissues; and investigation of methylation status in tissue-specific genes.
Disease gene network/pathway analysis
Molecular mechanisms of complex diseases are much more complicated than previous thought. Rather than the traditional approaches to studying single genes or locus, we investigate gene networks/pathways in complex diseases especially in psychiatric disorders and cancer. This includes protein-protein interaction (PPI) networks, biological pathways, pathway crosstalk, molecular network analysis by combing PPIs and pathways, and regulatory networks (e.g. microRNA and transcription factor mediated networks).
Bioinformatics in psychiatric genetics

Study of gene structures of schizophrenia susceptibility genes (e.g. DTNBP1); design and establishment of a comprehensive bioinformatics system to efficiently manage various types of data; and development of computational tools for lab experimental support (e.g. selection of candidate genes or genetic markers).

Other areas

Comparative and evolutionary genomics

Human population genetics

Data mining and integration