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
Early Detection
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:
 Retrieving latest data from feed...

Symplectic Elements feed provided by Research Information, University of Cambridge


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.