Fig. 1.
Genomic DNA regions show different methylation status. a) This plot shows the variance explained by principal components (PCs) in a PCA. “fviz_pca_var” (library factoextra, R) was used to visualize the variance associated with each PC rather than the actual data projection. The colors indicate the contribution of each variable to the PCs. b) NRMSD values motif-wise scaled. Notably, this approach reaffirms GANTC as the most consistently observed motif, displaying nearly zero variation across the diverse strains examined. c) NRMSD values for DNA region-wise scaled. tIG showed the highest variation, with both the highest and lowest NRMSD values. For both b) and c), the order of motifs derived from a hierarchical clustering analysis performed with the “pheatmap” R package.

Genomic DNA regions show different methylation status. a) This plot shows the variance explained by principal components (PCs) in a PCA. “fviz_pca_var” (library factoextra, R) was used to visualize the variance associated with each PC rather than the actual data projection. The colors indicate the contribution of each variable to the PCs. b) NRMSD values motif-wise scaled. Notably, this approach reaffirms GANTC as the most consistently observed motif, displaying nearly zero variation across the diverse strains examined. c) NRMSD values for DNA region-wise scaled. tIG showed the highest variation, with both the highest and lowest NRMSD values. For both b) and c), the order of motifs derived from a hierarchical clustering analysis performed with the “pheatmap” R package.

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