Principal component analyses of progressively filtered on-target SNP datasets.
Clustering of the 96 arctic fox samples based on on-target SNPs throughout filtering steps. a) PCA of all on-target SNPs after filtering for MAF, missing-data, and biallelic SNPs (n = 2277) and b) PCA of all identified on-target F ST outlier SNPs prior to linkage pruning (n = 107). Arviat = black sq...
Main Authors: | , , , |
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Format: | Still Image |
Language: | unknown |
Published: |
2021
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Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pone.0258975.s003 |
Summary: | Clustering of the 96 arctic fox samples based on on-target SNPs throughout filtering steps. a) PCA of all on-target SNPs after filtering for MAF, missing-data, and biallelic SNPs (n = 2277) and b) PCA of all identified on-target F ST outlier SNPs prior to linkage pruning (n = 107). Arviat = black square; Chevak = yellow circle; Hooper Bay = blue triangle; Victoria Island = green diamond. (TIF) |
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