What we do

At the interface of biology and computer science, we seek to better understand evolutionary and functional relationships between genes, genomes and species. Key underlying questions are:

  1. How can we extrapolate current biological knowledge, concentrated in a few model organisms, to the rest of life?
  2. Conversely, how can we exploit the wealth and diversity of life to better grasp an organism of interest?
  3. Can we summarize the evolutionary history of species as a sparse mixture of tree topologies?

Our activities are divided between bioinformatics methods and resource development, and their application – typically with experimentalists.

The group develops the OMA resource (part of SwissOrthology), the Phylo.io tree viewer, and the ALF genome evolution simulator.

Find out more about the Group’s activities

Main publications 2019

  • Altenhoff A M et al.
    OMA standalone: orthology inference among public and custom genomes and transcriptomes
    Genome Research, doi: 10.1101/gr.243212.118
  • Sima AC et al.
    Enabling semantic queries across federated bioinformatics databases
    Database, doi: 10.1093/database/baz106
  • Piližota I et al.
    Phylogenetic approaches to identifying fragments of the same gene, with application to the wheat genome.
    Bioinformatics, doi: 10.1093/bioinformatics/bty772