TESS implements a Bayesian clustering algorithm for spatial population genetic analyses. It can perform both individual geographical assignment and admixture analysis. It is designed for seeking genetic discontinuities in continuous populations and estimating spatially varying individual admixture proportions.
the Computational and Mathematical Biology group in Grenoble
- MacOsX / Windows
:: MORE INFORMATION
C. Chen, E. Durand, F. Forbes, O. François (2007)
Bayesian clustering algorithms ascertaining spatial population structure: A new computer program and a comparison study,
Molecular Ecology Notes 7:747-756.