G2P

G2P simulates genotype and phenotype data and evaluates the statistical power of Genome-Wide Association Study (GWAS) methods.

Key Features:

• Efficient Simulation Capabilities: Simulates large-scale datasets of up to 1 million samples and 2 million markers in approximately five hours with minimal memory usage.
• Comprehensive Data Simulation: Generates both genotype and phenotype data for testing GWAS methods and for mapping genetic markers associated with human diseases and agricultural traits.
• Pipeline-based Workflows: Supports pipeline-based workflows for large-scale simulation and evaluation tasks.
• Power Evaluation Functionality: Evaluates statistical power of GWAS methods to inform and optimize study design.
• Algorithmic Optimization: Uses advanced algorithms optimized for computational efficiency when handling extensive datasets.

Scientific Applications:

• Method validation: Testing and validating new statistical and GWAS methods under controlled simulated conditions.
• Study design optimization: Assessing statistical power to optimize sample size, marker density, and analysis strategies for GWAS.
• Genetic mapping research: Simulating scenarios for mapping genetic markers linked to complex traits in human disease and agricultural studies.

Methodology:

Implements advanced algorithms optimized for computational efficiency to simulate genotype and phenotype data and to evaluate the statistical power of GWAS methods.