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Detecting genomic signatures of natural selection with principal component analysis: application to the 1000 Genomes data.
MOLECULAR BIOLOGY AND EVOLUTION, no. 4 (2016): 1082-1093
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摘要
To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis (PCA). We show that the common F-ST index of genetic differentiation between populations can be viewed as the proportion ...更多
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