MRC WIMM Group Leader
The aim of my group is to 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).
An integrated platform to systematically identify causal variants and genes for polygenic human traits
Downes D. et al, (2019)
Reconstruction of the Global Neural Crest Gene Regulatory Network In Vivo.
Williams RM. et al, (2019), Dev Cell, 51, 255 - 276.e7
Synergistic silencing of α-globin and induction of γ-globin by histone deacetylase inhibitor, vorinostat as a potential therapy for β-thalassaemia.
Mettananda S. et al, (2019), Sci Rep, 9
A Comprehensive Analysis of Key Immune Checkpoint Receptors on Tumor-Infiltrating T Cells From Multiple Types of Cancer.
Li X. et al, (2019), Front Oncol, 9
Low-Bias RNA Sequencing of the HIV-2 Genome from Blood Plasma.
James KL. et al, (2019), J Virol, 93