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
- identify functional elements in mammalian genomes using the ChIP-chip, ChIP-PET and ChIP-seq technologies;
- construct transcriptional regulatory networks from gene expression, protein-DNA interaction and protein-protein interaction data;
- 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.