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• W3002421980 abstract "Abstract Population structure is a commonplace feature of genetic variation data, and it has importance in numerous application areas, including evolutionary genetics, conservation genetics, and human genetics. Understanding the structure in a sample is necessary before more sophisticated analyses are undertaken. Here we provide a protocol for running principal component analysis (PCA) and admixture proportion inference—two of the most commonly used approaches in describing population structure. Along with hands-on examples with CEPH-Human Genome Diversity Panel and pragmatic caveats, readers will learn to analyze and visualize population structure on their own data." @default.
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• W3002421980 date "2020-01-01" @default.
• W3002421980 modified "2023-09-27" @default.
• W3002421980 title "Exploring Population Structure with Admixture Models and Principal Component Analysis" @default.
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• W3002421980 doi "https://doi.org/10.1007/978-1-0716-0199-0_4" @default.
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