People in the Computational and Molecular Population Genetics (CMPG) lab use molecular techniques, theoretical developments, and computer simulations to reconstruct the demographic history of populations and species from genetic data, and to test between alternative evolutionary scenarios.
We explore the genomic diversity of voles and humans in order to discover which genes have recently responded to selection, for instance to adapt to new environments.
We are also interested in quantifying the effect of range expansions and colonisation processes on genetic diversity, since these demographic events can lead to molecular signatures resembling those of selection.
We also develop and maintain computer programs to study and simulate the genetic diversity of populations, infer demographic parameters under complex scenarios, and detect loci under selection from genome scan.
The CMPG lab is affiliated to the Swiss Institute of Bioinformatics.
Laurent Excoffier recognized by Thomson Reuters
Laurent Excoffier has just been listed in the Essential Science Indicators (ESI) developed by Thomson Reuters, in the field of computer science.
This list is based on is based on journal article publication counts and citation data from Web of Science™ and serves as an indicator of the influence a researcher has in the scientific world.