Research Area: Bioinformatics and Computational Biology

Advances have been made over the last decade in our understanding of how genes influence phenotypes and contribute to disease susceptibility. It has become increasingly clear that the underlying mechanisms have a complex basis in which observed clinical outcomes result from a diverse range of causes interconnected through networks of genetic, biological and environmental interactions.

Subareas: Computational Genetics, Computational Immunology, Proteomics, Statistical Genetics, Single-Cell Bioinformatics

The advances in high-throughput genotyping and sequencing have generated massive amounts of data that allow genome-wide analysis to be performed at much finer resolution than before, but at the same time posed great computational challenges. We have investigated a wide range of problems including haplotype inference, imputation, genome-wide association study, alternative splicing analysis, copy number variation detection, methylation, genome annotation and visualization. Immunology.

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