Computational Epigenetics and Systems Biology

The main focus in our lab is to apply machine learning algorithms and statistical methods to decipher the transcriptional regulatory codes in eukaryotic genomes. By working closely with bench-scientists, specifically, we will

1. identify functional elements in mammalian genomes using the ChIP-chip, ChIP-PET and ChIP-seq technologies;
2. construct transcriptional regulatory networks from gene expression, protein-DNA interaction and protein-protein interaction data;
3. understand genetic/epigenetic regulatory mechanisms in cancers and cancer stem cells.

Our investigation will not only fundamentally contribute to the understanding of genome/chromatin organization as well as gene/epigenetic regulation mechanisms, but also provide new approaches to the treatment of cancers.