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We aim to provide bioinformatics solutions to analyse and interpret the increasing wealth of data, primarily sequencing

Many of the DNA variants that increase the risk of disease control gene regulation.

By analysing publicly available and in-house generated epigenomic and transcriptomic datasets, such as ChIP-Seq, ATAC-Seq and RNA-Seq, we are developing methods to integrate and interpret this data.

This will allow us to further understand how disease risk relates to the biology of the disease and inform treatment selection and development