► Yeast protein interaction network.
Currently, I am developing method to cluster highthrough-put results in the context of yeast protein interaction network. Through the integration of interaction data and co-expression data, more biological pertinent results can be obtained. For this work, I have written a C++ package. See http://bioinformatics.org/bna/

► Signature of selection in genomes.
Sequences under selection are often functional informative. Hence, detecting sequences under selection is an important genome annotation method. I have applied changing-point method to detect spatial sequence pattern that are significantly different from neutral expectations. I am now trying to predict operons based on this method.

► Natural variation in life span.
Using yeast as a model system, we investigate the natural variation in its replicative and chronological life span. This project takes advantage of the genetic power and short life span of yeast. I have found a natural allele that affect life span segregation in a Mendelian fashion. I am now generating gene expression data for the short-lived and long-lived segregants. The expression difference will be evaluated in the context of the yeast protein interaction network.