The Evolutionary Bioinformatics Laboratory is part of the Department of Ecology and Evolution of the University of Lausanne. The laboratory investigates the evolution of animal genomes in the context of organismal function and development. New bioinformatic developments in the laboratory aim to help bridge the gap between genomic / bioinformatic approaches, and the study of the evolution of development ("Evo-Devo").

We are currently developing an ontology to represent homology relations, for the study of the evolution of evolution of development in animals. This includes classifying the different types of homology, and implementing homology relations between organs, tissues, developmental stages, and genes. We are applying this ontology to gene expression data from vertebrates.

(limited to papers describing bioinformatic methods)

• Parmentier, G., Robinson-Rechavi, M., BGee and OGee: A database and ontology for gene expression evolution. European Conference on Computational Biology, submitted.
• Ruau, D., Duarte, J., Ourjdal, T., Perriere, G., Laudet, V., Robinson-Rechavi, M., 2004. Update of nurebase: Nuclear hormone receptor functional genomics. Nucleic Acids Res 32, D165-167.
• Robinson-Rechavi, M., Laudet, V., 2003. Bioinformatics of nuclear receptors. Methods Enz 364, 95-118.
• Duarte, J., Perriere, G., Laudet, V., Robinson-Rechavi, M., 2002. Nurebase: Database of nuclear hormone receptors. Nucleic Acids Res 30, 364-368
• Robinson-Rechavi, M., Huchon, D., 2000. RRTree: Relative-rate tests between groups of sequences on a phylogenetic tree. Bioinformatics 16, 296-297.