Computational Methods for Predicting Changes in 3-D Chromosome Re-arrangement and Gene Deregulation in Human Disease

Professor Nick Gilbert

This projects aim is to develop computational methods to predict how genomic alterations in disease will affect 3-D genome organisation and interactions. This project is split between the Marenduzzo Lab in the School of Physics and Astronomy, who use chromosome modelling techniques based on polymer physics and the Gilbert lab at the IGMM, experts in chromatin structure and 3-D organisation. The project will integrate genomic data with chromatin folding simulations as a predictive model that will be tested and refined using experimental approaches. The goal is a system which can be applied to future cancer studies to focus experimental resources.