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EIGENSOFT

Description

eigensoft website

EIGENSOFT uses PCA to correct for population stratification in medical association studies (EIGENSTRAT, Price et al. 2006) and to detect and analyze population structure (SMARTPCA, Patterson et al. 2006).

Environment Modules

Run module spider eigensoft to find out what environment modules are available for this application.

Environment Variables

  • HPC_EIGENSOFT_DIR - installation directory
  • HPC_EIGENSOFT_BIN - executable directory

Citation

If you publish research that uses eigensoft you have to cite it as follows:

Price, Alkes L., et al. "Principal components analysis corrects for stratification in genome-wide association studies." Nature genetics 38.8 (2006): 904-909.

and

Patterson, Nick, Alkes L. Price, and David Reich. "Population structure and eigenanalysis." PLoS genetics 2.12 (2006): e190.

Categories

biology