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).
Defining genome architecture at base-pair resolution
Hua P. et al, (2021), Nature
Multi Locus View: an extensible web-based tool for the analysis of genomic data.
Sergeant MJ. et al, (2021), Commun Biol, 4
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium None. et al, (2021)
Chromatin accessibility governs the differential response of cancer and T cells to arginine starvation.
Crump NT. et al, (2021), Cell Rep, 35
LanceOtron: a deep learning peak caller for ATAC-seq, ChIP-seq, and DNase-seq
Hentges LD. et al, (2021)