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The expected number of neutral regions mis-classified as sweeps (soft or hard) compared to the number of sweeps reported by Schrider & Kern [11].

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Figshare2019-01-17 更新2026-04-29 收录
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https://figshare.com/articles/dataset/The_expected_number_of_neutral_regions_mis-classified_as_sweeps_soft_or_hard_compared_to_the_number_of_sweeps_reported_by_Schrider_Kern_11_/7530491
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Using the mis-classification proportions reported in their S1 Table and the total number of genomic windows analyzed (n = 16,066 in the unfiltered dataset, n = 13,968 in the filtered dataset), one may calculate the number of mis-classified windows expected under neutrality. This represents something of a best case scenario in which the true demographic model is assumed to be known (i.e., that inferred by Auton et al. [17]). Comparing these results with those reported by Schrider and Kern [11], it is clear that the majority of the observed sweep regions can be accounted for by the number of expected false-positives. Populations presented are from individuals sampled in North America of Northern and Western European ancestry (CEU), Gambia (GWD), Japan (JPT), Kenya (LWK), Peru (PEL), and Nigeria (YRI).
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2019-01-17
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