DNA methylation occurs when chemical methyl groups attach to DNA and this influences how cells interpret the underlying DNA sequence. Changes in DNA methylation can have harmful consequences, with unusual methylation patterns being associated with disease. A greater understanding of the processes involved in the development and maintenance of methylation patterns will help in understanding the currently unknown causes and consequences of the unusual patterns associated with disease.

The aim of this project is to use mathematical modelling, statistical techniques and data analysis to study DNA methylation systems. In particular, we will consider models describing methylated clusters within DNA that can undergo six processes: birth, death, growth, decay, coagulation and fragmentation. Combined with experimental data from cutting-edge sequencing technologies, these models will be used to extract currently unknown information regarding DNA methylation and demethylation processes.

Throughout the project, the student will have the opportunity to develop skills in fields such as mathematical modelling, statistical analysis, Bayesian inference and data science. There will also be opportunities for the student to interact and visit biological experts in the field of DNA methylation (Dr Duncan Sproul, Institute of Genetics and Cancer, University of Edinburgh).

While prior biological experience is not necessary, applicants should have a keen interest in learning about biological systems and in applying mathematical and statistical techniques to biological problems. The project will also involve data analysis and computational work, meaning that experience using a programming language such as R, Matlab, Mathematica or Python would be advantageous, though not necessary.Informal enquiries should be addressed to Dr Lyndsay Kerr (lyndsay.kerr@strath.ac.uk)