What we investigate

Our research in computational biology, bioinformatics, and biostatistics is at the interface of mathematics, statistics, and computer science with biology and medicine. It includes statistical, evolutionary, and network modeling of molecular and clinical data to support the rational design of medical interventions.

bioinformatics, cancer data science, computational biology, tumor evolution

Single-cell tumor phylogeny <em>(left)</em> and corresponding single-cell mutation calls <em>(right)</em>. From Singer <em>et al.</em>, 2018.
Single-cell tumor phylogeny (left) and corresponding single-cell mutation calls (right). From Singer et al., 2018.
Our research in more detail

Biology and biomedicine strive for an integral understanding of cells, organisms, and populations, in order to develop novel diagnostic and therapeutic measures. Research in the Computational Biology Group aims at supporting the rational design of medical interventions in complex and rapidly evolving biosystems. To achieve this goal, we develop models and algorithms for the statistical analysis of high-throughput molecular data, we reconstruct and analyze biological networks and predict the effect of perturbations, and we design evolutionary models of rapidly adapting disease-causing agents. We are engaged in several personalized medicine efforts, particularly in oncology and virology.

Prof. Niko Beerenwinkel

Prof. Niko Beerenwinkel
ETH Zurich
Department of Biosystems Science and Engineering
Mattenstrasse 26
4058 Basel

Email   Website

Selected publications

SKINTEGRITY.CH Principal Investigators are in bold:

  • Singer J, Kuipers J, Jahn K, and Beerenwinkel N (2018). Single-cell mutation identification via phylogenetic inference. Nat Commun, 9: 5144.
  • Dimitrakopoulos C, Hindupur SK, Häfliger L, Behr J, Montazeri H, Hall MH, and Beerenwinkel N (2018). Network-based integration of multi-omics data for prioritizing cancer genes. Bioinformatics 34: 2441-2448.
  • Singer J, Irmisch A, Ruscheweyh H-J, Singer F, Toussaint NC, Levesque MP, Stekhoven DJ, and Beerenwinkel N (2019). Bioinformatics for Precision Oncology. Briefings in Bioinformatics, 20: 778-788.
  • Noble R, Burri D, Kather JN, and Beerenwinkel N (2020). Spatial structure governs the mode of tumour evolution. https://doi.org/10.1101/586735.