My general research interests primarily focus on use of various computational tools, including development of new algorithms, software and databases, to address biological questions related with plant genomics, proteomics and metabolomics at different levels from individuals, populations, to ecosystems. While emphasizing traditional and experimental biology, my research is focused on computational biology by conducting biological experimentations in silico.

Currently, I am interested in transcriptome analysis for novel gene discovery and gene expression profiling study in plants using various bioinformatics solutions. The ongoing projects center in data processing, data integration and data mining for Expressed Sequence Tags (ESTs) and cDNA-based microarray. Particularly, I want to understand how gene expression profile changes in response to different genotypes, environmental conditions and developmental stages. Also, I am developing new algorithms, database infrastructures and software systems for clustering ESTs and exploring various EST features, including 3’ and 5’ UTR, SSR, SNP, protein coding domains, splice variants and so on.