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List of prospective supervisors and example projects
Director:Professor Simon Tavaré
Statistical and experimental methods for assessing tumour heterogeneity
Deputy Directors:
Professor Richard Durbin
Functional genetic analysis using whole genome sequence data from human population cohorts
Dr Gos Micklem
Prioritisation of genes identified by Genome Wide Association Studies.
Professor John Todd
Aetiology of autoimmune diabetes
Potential advisors include:
Dr Boris Adryan
Computational and genomics approaches to transcriptional regulation in metazoan development
Dr Carl Anderson
Using next generation sequencing and high-throughput genotyping to unravel the genetic architecture of autoimmune disease
Dr Julie Ahringer
Investigating chromatin regulation through the analysis of high-throughput deep sequencing data
Dr Jeffrey Barrett
Determining causality in complex immune disease genetics via next generation functional sequence data
Dr Inês Barroso
Improving functional annotation of rare variants identified by exome and genome sequencing of disease cases (diabetes, obesity and extreme forms of these diseases)
Dr James Brenton
Inferring driver mutations and intra-tumoural heterogeneity from next generation sequence analysis of ovarian cancer
Professor Kevin Brindle
Imaging metabolism with hyperpolarized C-13 magnetic resonance spectroscopic imaging: Turning our understanding of metabolism into new imaging biomarkers.
Professor Carlos Caldas
Systems level integration of aCGH, mRNA, miRNA and sequencing data from over 1000 breast cancers
Dr Damian Crowther
Neuroscience
Using 3D locomotor trajectories to predict the severity of disease-related phenotypes in Drosophila models of neurodegenerative diseases
Professor John Danesh
Genome-wide gene-gene interaction in cardiovascular disease Genome-wide haplotype analysis in cardiovascular disease
Professor Philip Dawid
Statistical methods for inferring genetic causality
Professor Zoubin Ghahramani
Bayesian nonparametric machine learning methods for Genomics and Medicine
Dr Bertie Gottgens
Reconstruction of gene regulatory networks in normal and leukaemic blood stem cells.
Dr Frank Jiggins
The molecular evolution of disease vector immune systems
Dr Pietro Liò
Robustness and trade-offs in energy metabolism (machine learning and optimisation)
Dr Matthew Hurles
Application of statistical approaches to infer causality by integrating diverse sources of evidence, to provide more accurate genetic diagnoses in a clinical setting
Professor Ottoline Leyser
Investigating the genetic architecture of developmental plasticity in Arabidopsis shoot branching
Dr Florian Markowetz
Comparative analysis of pathway activity in different cancer types
Dr Eric Miska
Quantitative miRNA biology/microevolution of miRNA regulatory networks/small RNA response to environment and pathogens
Dr Duncan Odom
The mechanisms and evolution of tissue-specific transcription and transcriptional evolution in mammals
Professor Steve Oliver
Modelling and simulation of compartmentation and metabolic flux in health and disease
Professor Stephen O'Rahilly
Genomic variation predisposing to obesity and related metabolic disease
Dr Paul Pharoah
Finding rare ovarian cancer susceptibility alleles through analysis of exome resequencing data
Dr. David Sargan
Mapping and classifying cancer predispositions in veterinary models using array based techniques.
Professor Ben Simons
Mechanisms of dysregulation and tumour progression in epithelia
Professor Ken Smith
Applying array data to biomarker and pathway discovery in immune-mediated disease
Dr Chris Tyler-Smith
Positive selection in humans using information from population and functional genomics
Dr Michele Vendruscolo
Sequence-based prediction of cytotoxicity of protein aggregates
Dr John Welch
Host-induced mutagenesis and viral adaptation: Understanding the evolutionary dynamics
Professor Lorenz Wernisch
Inference of transcriptional control from high-throughput sequencing data (with Bertie Gottgens)
Dr Eleftheria Zeggini
Next-generation association studies for complex phenotypes, and development of robust analytical methodologies.
Dr. Daniel Gaffney
Computational approaches to understanding population genetic variation in transcriptional regulation
