Single Cell and Computational Genomics
The Single Cell and Computational Genomics Laboratory focuses on demonstrating the genomic mechanisms by which loci contribute to complex human diseases, and working towards early stage diagnosis methods and targeted therapeutics. To do so, we apply existing computational approaches, and develop our own statistical genetics methods for analysis of large-scale next generation sequencing data. Following in silico experiments, we perform functional validation of statistical observations using molecular techniques such as high-throughput genome editing and cell phenotyping.
We have a very significant focus on the use of single cell sequence data and technology, due to the phenomenal resolution it offers in being able to identify differences in the genomics processes between individual cells.
The laboratory drives projects in a number of areas of medical genomics research, but we also believe strongly in the value of collaboration between groups with differing expertise.