What we do

The Computational Biology Group is involved in research and teaching 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 their application to biomedical problems. We are conducting active research projects on HIV drug resistance, the somatic evolution of cancer, haplotype inference from ultra-deep sequencing data, reconstruction of signalling pathways from perturbation screens, and computational analysis single-cell sequencing data.

The group develops the V-Pipe tool.

Highlights 2017

Our 2017 highlights include the development and release of (i) algorithms and computational tools for the automated design of synthetic cell classifier circuits, (ii) a statistical model for single-cell sequencing data that revealed widespread recurrence and loss of mutational hits in the life histories of tumours, and (iii) a new mathematical framework for inferring genetic interactions from comparative fitness data.

Find out more about the Group’s activities

Main publications 2017

  • Mohammadi P et al. Automated design of synthetic cell classifier circuits using a two-step optimization strategy. Cell Systems 2017; 4:1-12
  • Kuipers J et al. Single-cell sequencing data reveals widespread recurrence and loss of mutational hits in the life histories of tumors. Genome Research 2017; 27:1885-1894.
  • Crona K et al. Inferring genetic interactions from comparative fitness data. eLife 2017

University basel

Niko Beerenwinkel
Computational Biology Group
ETH Zurich, D-BSSE, Basel
Group Webpage

Domains of activity:

  • Genes and genomes
  • Biostatistics
  • Drug resistance
  • Evolutionary biology
  • Infectious diseases
  • Next generation sequencing
  • Oncology
  • Phylogeny
  • Personalised medicine
  • Single-cell biology
  • Software engineering

Domain of application:

  • Medicine and health

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