GWASTool

GWASTool encapsulates the heterogeneity of genome-wide association study algorithms within a unified framework for detecting SNP-phenotype associations, including simulation, detection, visualization, and comparison.

Key Features:

• Simulation data generation: Generates simulated data for testing GWAS workflows.
• Associated loci detection: Detects associations between individual SNPs or SNP interactions and phenotypes.
• Result visualization: Provides visualization of GWAS analysis results.
• Analysis and comparison: Enables statistical and biological analysis and comparison of results from different algorithms.
• Plugin-able framework: Supports integration of diverse GWAS algorithms through a unified, extensible architecture.

Scientific Applications:

• SNP-phenotype association detection: Identifies associations between individual SNPs or SNP interactions and phenotypes to decipher genetic mechanisms.
• GWAS algorithm benchmarking: Compares outputs from different GWAS analysis methods under a standardized framework.

Methodology:

GWASTool is implemented in Java.