GeneticsDesign

GeneticsDesign performs power and sample-size calculations to support experimental design for genetics studies in genomics and molecular biology.

Key Features:

• Power and sample-size calculations: Provides functions for determining statistical power and required sample sizes for genetics studies.
• Integration with Bioconductor: Interoperates with Bioconductor packages for incorporation into broader genomic data analysis workflows handling high-throughput data.
• R-based framework: Implements analysis within the R environment for statistical computation and visualization.

Scientific Applications:

• Genome-wide association studies (GWAS): Supports planning and sample-size assessment for GWAS to evaluate power to detect genetic associations.
• Linkage analyses: Assists in estimating power and sample-size requirements for linkage studies.
• High-throughput genomics experimental design: Informs sample-size and power considerations for experiments generating high-throughput genomic or molecular biology data.

Methodology:

Statistical modeling of genetic data scenarios and power/sample-size calculations grounded in established statistical principles.