Computational Cancer Genomics
We are a computational biology group at Genome Institute of Singapore (GIS). We are particularly interested in developing and applying relevant computational and statistical approaches to solve emerging problems in cancer research. To accomplish this we work closely with excellent clinical research groups in Singapore and abroad.
Non-coding Cancer GenomeNon-protein-coding regulatory elements and transcripts take up a large fraction of the human genome, but their function and disease relevance are not well understood. We use computational approaches to identify and characterize cancer-causing non-coding elements from large cohorts of tumor genomes and molecular profiles.
Tumor Systems Biology
Signaling between cancer and non-malignant cells of the tumor microenvironment is critical in many aspects of tumor progression. However, there is a lack of approaches to study this phenomenon at scale in tumors. We are developing integrated experimental and computational techniques to study tumors at a systems level.
See Google Scholar for a complete list of publications.