Centre for Computational Biology
The Duke-NUS Centre for Computational Biology (CCB) provides a nucleus for expertise in computational biology and bioinformatics within Duke-NUS and SingHealth.
• Biomedical research that depends heavily on computational biology and bioinformatics and research on methods for computational biology and bioinformatics. We pursue research projects that have substantive scientific impact and have published > 140 scientific papers since 2011.
• Collaborative research, including providing a source of computational biology and bioinformatics expertise for funding proposals. CCB members provide computational biology and bioinformatics expertise and collaboration within Duke-NUS and SingHealth. In some cases, our faculty may be an integral part of the scientific team (e.g. co-investigators on grant applications). In other cases, Duke-NUS or SingHealth investigators can approach the Director or CCB to engage, on a part-time basis, non-faculty CCB staff to support the conduct of their projects. We work closely with the Duke Genome Biology Facility.
Areas of expertise:
Next generation sequencing study design and analysis, including
• Genetic variation discovery and analysis (in germ-line and in cancers)
• RNA seq
• CHIP seq
Microarray study design and analysis
• Gene expression, microRNA, DNA methylation, SNP chips
• Elucidation of molecular signatures and modeling for diagnostic and prognostic purposes
Integrated analyses of genomics data for system biology approaches
•“Pathway” and “gene set” enrichment analysis
•Genomic approaches for therapeutics
•Other genomics and genetics analyses
• We supervise students in the Duke-NUS Integrated Biology and Medicine PhD programme and the Duke-NUS Integrated Biostatistics and Bioinformatics PhD programme.
• We offer the Bioinformatics Seminar Series and tutorial talks on computational biology and bioinformatics
• We offer an annual week-long RNA-seq and ChIP-seq analysis workshop
• We provide one-to-one mentoring of faculty, postdoctoral fellows, research staff, and students in computational biology and bioinformatics
Selected Recent Publications from the Centre for Computational Biology and Collaborations2016