DPhil Physiology, Anatomy and Genetics
The University of Oxford
I am broadly interested in computational genomics, striving to extract biological information from large genomic datasets. At Oxford my research focusses on the application of computational and statistical methods to high-throughput RNA sequencing data. This has ranged from differential expression, to co-expression network and clustering analyses, seeking to gain insight into the biological processes underlying many different diseases and disorders, including influenza and autism.
Before joining the Ponting Group in 2012, I studied at the University of Nottingham reading for an MSci in Human Genetics. My undergraduate dissertation was centred around bioinformatics, and focussed on pattern-searching DNA for transcription factor binding sites using a Hidden Markov Model. I later gained a Genetics Society summer studentship for bioinformatic analysis of genome-wide data, and spent this time investigating the effect of anti-epileptic drugs on fetal DNA methylation. Similarly my masters thesis focussed on genome-wide data, detecting signatures of positive selection in cattle by applying various statistics through a sliding window algorithm. I also worked for the University of Nottingham as a bioinformatics intern, comparing microarray data from cancers in humans and dogs.
Identification of molecular signatures specific for distinct cranial sensory ganglia in the developing chick.
Patthey C. et al, (2016), Neural Dev, 11
Signatures of positive selection in East African Shorthorn Zebu: A genome-wide single nucleotide polymorphism analysis.
Bahbahani H. et al, (2015), Sci Rep, 5
Antiepileptic drugs and the fetal epigenome
Emes RD. et al, (2013), Epilepsia, 54, e16 - e19
Comparison of clustering methods for investigation of genome-wide methylation array data.
Clifford H. et al, (2011), Front Genet, 2