Ohana, a tool set for population genetic analyses of admixture components

MotivationStructure methods are highly used population genetic methods for classifying individuals in a sample fractionally into discrete ancestry components.\n\nContributionWe introduce a new optimization algorithm of the classical Structure model in a maximum likelihood framework. Using analyses of real data we show that the new optimization algorithm finds higher likelihood values than the state-of-the-art method in the same computational time. We also present a new method for estimating population trees from ancestry components using a Gaussian approximation. Using coalescence simulations modeling populations evolving in a tree-like fashion, we explore the adequacy of the Structure model