Gaston Gonnet
Computational Biochemistry Research Group
ETH Zurich
Group Webpage

What do we do?

At the Computational Biochemistry Research Group we are interested in the modelling and analysis of biological problems at the molecular level. Our expertise lies in particular in searching algorithms, optimization algorithms, mathematical modelling, and computational systems. Most of our research efforts are concentrated on the Orthologous MAtrix (OMA) project. This particular project aims to produce, automatically, reliable orthologous groups of proteins that are derived from entire genomes. We offer the results and general services through the internet and through the distribution of the Darwin system for bioinformatics computations.

Highlights 2015

The OMA Browser is a SIB-funded, publicly available resource that provides orthology predictions among publicly available proteomes from all domains of life. During 2015, two new releases of the OMA database were made public, in which the number of covered genomes has steadily increased. The database now covers 1970 (+284) genomes.
The group is very engaged in teaching and supervising the advanced Master’s Degree in Computational Biology and Bioinformatics at ETH Zurich.

Main publications 2015

  • Altenhoff AM et al. The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements. Nucl Acids Res 2015;43(D1):D240-D249.
  • Ravenhall M et al. Inferring horizontal gene transfer. PLOS Comput Biol 2015;11(5):e1004095.
  • Škunca N et al. Phylogenetic profiling: how much input data is enough? PLUS ONE 2015;10 (2):e0114701.

Our research topics: