► 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.
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