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Section V: Best Practices for Genomics Data Visualization

By brsanders, 8 November, 2024
Summary of Key Points

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).
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This work is supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number 1U24HG013013-01.