GeneticsMakie.jl

GeneticsMakie.jl provides high-performance visualization of locus-level genetic and genomic datasets to enable integrative analysis of genome-wide association studies (GWAS) and functional genomics data.

Key Features:

• High-Performance Visualization: Leverages Makie.jl to render large-scale plots rapidly and to visualize hundreds of association results concurrently.
• Scalability and Flexibility: Supports scalable plotting for large datasets and offers customizable, extensible plot layouts suitable for complex locus-level figures.
• Integration with Genomic Annotations: Allows overlaying multiple genomic annotations on association results for multi-layer locus visualization.

Scientific Applications:

• Locus-level exploratory analysis: Visualizing multiple association results within a genomic locus to examine local genetic architecture.
• GWAS interpretation: Comparing GWAS association signals across traits and loci to identify candidate variants and signal colocalization.
• Functional genomics integration: Integrating genomic annotations with association results to assess potential functional implications of variants.

Methodology:

Integrates with Makie.jl plotting and layout utilities to create customizable visualizations and optimize performance for large genetic and genomic datasets.