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. In particular, our expertise lies in searching algorithms, optimizing 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 2016

The OMA Browser is a SIB-funded, publicly available resource that provides orthology predictions among publicly available proteomes from all domains of life. The most recent release of the OMA Browser covers now 2,024 complete genomes. The OMA algorithm is available as a stand-alone program to analyze custom genome dataset.
The group is actively participating in several community benchmarking efforts focused on orthology and protein function prediction.
The group is engaged in teaching and supervising the advanced Master’s Degree in Computational Biology and Bioinformatics at ETH Zurich.

Main publications 2016

  • Altenhoff AM et al. Standardized benchmarking in the quest for orthologs. Nature Methods, 13(5):425-430, Apr 2016.
  • Yuxiang J et al. An expanded evaluation of protein function prediction methods shows an improvement in accuracy. Genome Biology, 2016, 17:184

Our research topics: