Skip to main content
Fig. 1 | BMC Bioinformatics

Fig. 1

From: Application of the geographic population structure (GPS) algorithm for biogeographical analyses of wild and captive gorillas

Fig. 1

Principal Component Analysis (PCA) of gorilla genomes. PCA plot showing genetic differentiation among gorilla genomes. PCA was performed in PLINK v1.9 and the top four principal components (PCs) were extracted. Top two PCs (PC1 and PC2), explaining the highest variance of the data were plotted in R v3.2.3. The colors of the gorilla genomes in the PCA plots corresponds to the location geographic location, they belonged to. The red squares represent gorilla genomes with unknown geographic origin. The X-axis (PC1), depicting eastern-western gorilla differentiation, explains 45% variance while the Y-axis (PC2), indicating clustering among western gorillas, explains 23% variance of the data

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us