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. 2013 Nov 18;8(11):e79667. doi: 10.1371/journal.pone.0079667

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© 2013 Matteo Fumagalli

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Accuracy of population structure inference, measured as the proportion of cells over a grid where sub-populations have been wrongly assigned from sequencing data compared to the case of known genotypes for all individuals (see Methods). Sequencing depths are , , , and and the corresponding sample sizes are , 60, 12, and 6 individuals. I simulated independent sites, with a probability of each site being variable in the population equal to 0.1. Populations were simulated with high genetic subdivision (left panel, 0.4 and 0.1), medium genetic subdivision (mid panel, 0.3 and 0.05), low genetic subdivision (right panel, 0.1 and 0.02).

Inline graphic — Accuracy of population structure inference, measured as the proportion of cells over a grid where sub-populations have been wrongly assigned from sequencing data compared to the case of known genotypes for all individuals (see Methods). Sequencing depths are , , , and and the corresponding sample sizes are , 60, 12, and 6 individuals. I simulated independent sites, with a probability of each site being variable in the population equal to 0.1. Populations were simulated with high genetic subdivision (left panel, 0.4 and 0.1), medium genetic subdivision (mid panel, 0.3 and 0.05), low genetic subdivision (right panel, 0.1 and 0.02).