Dr Moritz Gerstung

European Bioinformatics Institute

Position: Research group leader
Personal home page: http://www.ebi.ac.uk/research/gerstung

PubMed journal articles - click here

Dr Moritz Gerstung is pleased to consider applications from prospective PhD students.

Research description: 

Computational Cancer Biology

Clinical decision support
Evolution
Mutational processes

Research Programme or Virtual Institute: 
Early Cancer Institute
Methods and technologies: 
Bioinformatics
Clinical trials
Computational modelling
DNA sequencing
Epidemiology
Gene expression profiling
Genomics
Microarray
Public health
Statistical analysis
Tumour type interests: 
Breast
Kidney
Leukemia
Melanoma
Multiple myeloma
Oesophagus
Oral
mg778
Recent publications:
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Key publications: 

E. Papaemmanuil, M. Gerstung, L. Bullinger, et al. (2016). Genomic Classification and Prognosis in Acute Myeloid Leukemia. New England Journal of Medicine, 374:2209--21. http://dx.doi.org/10.1056/NEJMoa1516192
L. R. Yates, M. Gerstung, S. Knappskog, et al. (2015). Subclonal diversification of primary breast cancer revealed by multiregion sequencing. Nat Med, 21:751-9. http://dx.doi.org/10.1038/nm.3886
M. Gerstung, A. Pellagatti, L. Malcovati, et al. (2015). Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes. Nat Commun, 6:5901. http://dx.doi.org/10.1038/ncomms6901
N. Beerenwinkel, R. F. Schwarz, M. Gerstung, et al. (2015). Cancer evolution: mathematical models and computational inference. Syst Biol, 64:e1-e25. http://dx.doi.org/10.1093/sysbio/syu081
M. Gerstung, E. Papaemmanuil, and P. J. Campbell (2014). Subclonal variant calling with multiple samples and prior knowledge. Bioinformatics, 30:1198-1204. http://dx.doi.org/10.1093/bioinformatics/btt750

Individual risk estimates for 384 patients with acute myeloid leukaemia, split by the nature of the risk factors.