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Current methods for genotype imputation and phasing exploit the volume of data in haplotype reference panels and rely on hidden Markov models (HMMs). Existing programs all have essentially the same imputation accuracy, are computationally intensive and generally require prephasing the typed markers.

A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl