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Population genetic analysis of bi-allelic structural variants from low-coverage sequence data with an expectation-maximization algorithm

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Population genetics and association studies usually rely on a set of known variable sites that are then genotyped in subsequent samples, because it is easier to genotype than to discover the variation. This is also true for structural variation detected from sequence data. |

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