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We here present two new methods for inferring population structure and admixture proportions in low depth next-generation sequencing data. Inference of population structure is essential in both population genetics and association studies and is often performed using principal component analysis or clustering-based approaches. Next-generation sequencing methods provide large amounts of genetic data but are associated with statistical uncertainty for especially low depth sequencing data. Modelsdoi:10.1101/302463 fatcat:jbjgl6essvdzzfqwyptnott7fm