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SIB workshop on Computational Biology at Biology18

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Wagner Andreas

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Andreas Wagner
Evolutionary Systems Biology Group
University of Zurich
Group Webpage

What do we do?

In the Evolutionary Systems Biology Group, we study the evolution and evolvability of biological systems at all levels of biological organization, from genes and genomes to biological networks and whole organisms. We develop bioinformatics tools to integrate data from a variety of sources, including comparative whole-genome sequence data, microarray expression data, and high-throughput protein interaction data. Our work uses comparative analysis of genomic data, laboratory evolution experiments and mathematical modelling.

Main publications 2017

  • Aguilar Rodriguez J et al. 1000 empirical adaptive landscapes and their navigability. Nat Ecol Evol. 1. 2017; 0045
  • Bratulic S et al. Mistranslation benefits adaptive evolution through purging of deleterious mutations. Nat Commun. 8. 2017; 15410.
  • Fortuna MA et al. The genotype-phenotype map of an evolving digital organism. PLoS Comput Biol.13 (2), e1005414

Our main research topic: