The Computational and Systems Biology group seeks to integrate and analyze large complex data sets in order to derive a systems understanding of biological processes.  These datasets involve genome sequences, structural and nucleotide variations, gene expression changes, chromatin state, transcription factor binding sites, and phenotypic information. Our scientists bring to bear a range of expertise in biology, computer science, mathematics, and statistics to solve problems in genomic biology.

As an integral part of the Genome Institute of Singapore, the Computational and Systems Biology group collaborates closely with experimental groups working on cancer, stem cells and differentiation, early development in mouse and zebrafish, human genetics and human pathogens. In addition to these collaborations with vertebrate biology labs, labs within the Computational and Systems Biology group also generate experimental data using unicellular model organisms, specifically yeast (gene regulation and regulatory networks) and algae (metabolism and its control).