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Welcome to the Computational Biology Group (CBG)
News
May 1
Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.
Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.
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.
The Computational Biology Group is part of the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich located in Basel.
We are also affiliated with:
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