Cancer Genomics, Computational biology and statistics
Our cancer research programmes, including cancer genetics and epigenetics, rely heavily on a wide variety of genomics-based approaches, which are strongly supported by the Centre for Computational Biology.
Several tracks of genomic data showing signal patterns across multiple cancer samples.
Explore our research and team
Our research group
Our research group
Our computational biologists are developing new statistical methods for the analysis of genome-wide data. Our translational research aims at the discovery of the molecular origins of human disease and the development of novel diagnostic and treatment intervention strategies.
Key researchers
Key researchers
Our statisticians located within the Cancer Research UK Clinical Trials Unit with play a vital role in the planning, running and evaluation of our clinical trials.
Key researchers
| Researcher | Research Group |
|---|---|
| Roland Arnold | Bioinformatics analyses of transcription in cancer |
| Andrew Beggs | Colorectal cancer genetics and biology |
| Lucinda Billingham | Biostatistics and clinical trials |
| Conny Bonifer | Epigenetics and gene regulation in blood cells |
| Rik Bryan | Bladder cancer biology and treatment |
| Peter Cockerill | Epigenetics and gene regulation in blood cells |
| George Gkoutos | Bioinformatics and mathematical modelling |
| Keith Wheatley | Cancer clinical trials |
| Chris Yau | Statistical machine learning and computational biology |