Emmanouela Repapi joined the Computational Biology Research Group in January 2014. Since then she has worked on a variety of projects ranging from studying splicing alterations in myelodysplastic syndromes to being involved in the analysis of datasets with the aim of understanding the mechanisms underlying the endothelial to hematopoietic transition. In her time in the Weatherall Institute of Molecular Medicine (WIMM) she has been focusing on the analysis of all types of RNA Sequencing data, including single-cell analysis. She has also been teaching the RNA-Seq course in the WIMM, along with Nicki Gray. Dr Repapi completed her DPhil at the Ludwig Institute for Cancer Research at the University of Oxford working on the identification and analysis of single nucleotide polymorphisms (SNPs) that affect cancer in humans. She was involved in numerous projects, working with clinical and genetic data of different types of cancer including chronic lymphocytic leukemia, melanoma and pancreatic cancer. Her first degree was in Applied Mathematics at the National Technical University of Athens before completing an MSc in Applied Statistics at the University of Oxford. Prior to her PhD, she worked as a training fellow in Genetic Epidemiology at the University of Leicester conducting a meta-analysis of Genome Wide Association Studies (GWAS) for pulmonary function.
Impact of spliceosome mutations on RNA splicing in myelodysplasia: dysregulated genes/pathways and clinical associations.
Pellagatti A. et al, (2018), Blood
Fundamental period of infilled reinforced concrete frame structures
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Characterization of age-related transcriptomic changes within the follicular unit: clues to the mechanisms underlying female reproductive ageing
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The U2AF1S34F mutation induces lineage-specific splicing alterations in myelodysplastic syndromes.
Yip BH. et al, (2017), J Clin Invest, 127, 2206 - 2221
M1-like monocytes are a major immunological determinant of severity in previously healthy adults with life-threatening influenza.
Cole SL. et al, (2017), JCI Insight, 2