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Our group is responsible for the development and implementation of new ways to analyse, integrate, query and visualise large biomedical datasets. We work in collaboration with a wide variety of research groups both in and outside the MRC WIMM. We develop new methods and apply the latest bioinformatics techniques to public and in-house generated data including (but not limited to) genomics, genetics, transcriptomics, proteomics and imaging.


The aim of our group is to use and develop state-of-the-art methods to understand biomedical data in new ways, thereby providing research scientists with advanced computational software tools and expertise to work on their own data efficiently. Working with these groups, we provide insights into molecular and cellular processes in health and disease. We have a strong track record of developing and modifying software that has been successfully applied to whole genome/exome sequencing including long-range sequencing. More recently, we have applied methods for analysing data produced from the newly established MRC WIMM platforms including single cell RNA sequencing, chromosome conformation capture, and standard and super-resolution imaging. A key component of our work is integrating and visualizing these data with easy to use software and we have invented tools such as Zegami for the visualisation and management of large datasets (now an Oxford University spin out company), CSynth (3D genome visualisation using Virtual Reality in collaboration with Goldsmiths University), and MIG software (high throughput genome browser and data mining portal).

Our team

Selected publications