The LFMM computer program includes an integrated framework based on population genetics, ecological modeling and statistical techniques for screening genomes for signatures of local adaptation.
It implements fast algorithms using latent factor mixed models based on a variant of Bayesian principal component analysis in which residual population structure is introduced via unobserved factors.
module spider lfmm to find out what environment modules are available for this application.
- HPC_LFMM_DIR - installation directory
- HPC_LFMM_BIN - executalbe directory
- HPC_LFMM_EXE - example directory
If you publish research that uses lfmm you have to cite it as follows:
E. Frichot, S.D. Schoville, G. Bouchard, O. François Testing for associations between loci and environmental gradients using latent factor mixed models Molecular Biology and Evolution, in press 2013. Link to MBE.