FASTRUCT: model-based clustering made faster

Bayesian model-based clustering programs have gained increased popularity in studies of population structure since the publication of the software STRUCTURE. These programs are generally acknowledged as performing well, but their running-time may be prohibitive. FASTRUCT is a non-Bayesian implementation of the classical model with no-admixture uncorrelated allele frequencies. This new program relies on the expectation-maximization principle, and produces assignment rivalling other model-based clustering programs. In addition, it can be manyfold faster than Bayesian implementations. The software consists of a command-line engine, which is suitable for batch analysis of data, and a graphical interface, which is convenient for exploring data.