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).
LanceOtron: a deep learning peak caller for genome sequencing experiments.
Hentges LD. et al, (2022), Bioinformatics
The chromatin remodeller ATRX facilitates diverse nuclear processes, in a stochastic manner, in both heterochromatin and euchromatin.
Truch J. et al, (2022), Nat Commun, 13
Mental health needs of adolescents with HIV in Africa – Authors' reply
Gooden TE. et al, (2022), The Lancet HIV, 9, e376 - e377
Bioinformatics and the Metaverse: Are We Ready?
Taylor S. and Soneji S., (2022), Frontiers in Bioinformatics, 2
Antiretroviral pharmacology and drug–drug interactions
Page M. and Taylor S., (2022), Medicine (United Kingdom), 50, 220 - 227