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The EM algorithm performs best when the true frequency distribution has low entropy (nonuniform, with a few haplotypes at high frequencies, with the rest at low frequencies). The algorithm was run on simulated pooled 100-bp paired-end sequence data from 162 haplotypes at 200× coverage in a 200 kb region (550 replicates binned by Shannon entropy in natural log units).
