Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation

This work used simulated data to evaluate the performance of three Bayesian clustering software programs at levels of population differentiation below FST=0.1, and suggested that FST must be at least 0.05 to reach an assignment accuracy of greater than 97%.