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Our Research Group

We research in the areas of computational biology, biostatistics, and systems biology. Our activities include the development of mathematical and statistical models, their implementation in computer programs, and application to biomedical problems. We have active research projects on HIV drug resistance, the somatic evolution of cancer, haplotype inference from ultra-deep sequencing data, and reconstruction of signaling pathways from RNAi screens.

CBG News


Advances in understanding tumour evolution through single-cell sequencing

Jack and Katharina's review paper on computational advances in reconstructing tumour histories from single-cell sequencing data has been published at BBA Reviews on Cancer, and is available at: Read more 


Automated Design of Synthetic Cell Classifier Circuits Using a Two-Step Optimization Strategy

Pejman's paper about the design of synthetic cell classifier circuits was published in Cell Systems and is available online at His approach can be used to generate candidate gene circuits  for experimental testing in therapeutic settings that require precise cell targeting, such as cancer therapy. Read more 


Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers

Ariane’s paper about the comparison of somatic variant callers for cancer data was published in BMC Bioinformatics and is available at Read more 

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