Section V: Best Practices for Genomics Data Visualization

When creating genomic visualizations, it’s essential to follow some best practices:

• Use Appropriate Color Palettes: For categorical data (e.g., alleles, chromosomes), use distinct color palettes to differentiate between groups.
• Label Axes and Legends: Always include clear labels and legends for the x and y axes, and indicate what different colors or symbols represent.
• Log Transformations: When visualizing p-values (as in GWAS), consider using log transformations to better display significance (e.g., -log10(p)).
• Handle Large Datasets Carefully: Genomics data can be large. Use libraries that handle large data efficiently or generate plots from summary statistics (e.g., allele frequencies, p-values).