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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

  • CSynth - 3D genome modelling and visualisation of chromatin conformation capture data such as Hi-C and Capture-C (in collaboration with Goldsmiths University)
  • MedicalXR - Various projects using Virtual Reality (VR) and Augmented Reality (AR) within the Medical Sciences. In collaboration with academics and clinicians across Oxford, these different projects span research, preoperative investigation, training, patient therapy and public engagement
  • MIG - high throughput genome browser and data mining portal
  • Multi Locus View (MLV) - a web-based tool for the visualisation, analysis and annotation of Next Generation Sequencing data sets. It is also being developed to aid the analysis of high dimensional data sets from single cell RNA-Seq, single cell ATAC-Seq, CITE-Seq and CyTOF datasets
  • Zegami - visualisation and management of large datasets (now an Oxford University spin out company) 


Our team

Selected publications

Public Engagement

In July 2017 we took our research to the Royal Society Summer Exhibition. Find out more about our stand "DNA Origami: How to fold a genome”. Our research also featured in the news section of the Oxford University website.

Virtual reality

At the MRC Weatherall Institute of Molecular Medicine, Steve Taylor has developed prototype software called BabelVR, to allow the import of 3D images from a variety of medical..... [read more]