Research Description
His research has been focused on (1) statistical methods for evolutionary genomics for understanding the genome complexity, and (2) high throughput comparative genomics analysis. Achievements of our research group are: Develop statistical methods and bioinformatics software for predicting functional divergence of a protein family, statistical analysis for expression divergence between duplicate genes, and statistical modeling for gene gain and loss during genomic evolution. Analyze across-species model organism genomes, from yeasts, plants, vertebrates to primates. Recently, our research is exploring the new area of Systems Biology and Evolution: Understanding gene pleiotrophy, genetic robustness, genome complexity and gene network evolution.