snpStats

snpStats performs statistical analysis of single nucleotide polymorphism (SNP) data to support large-scale SNP association studies and to account for genotype uncertainty.

Key Features:

• Handling Uncertainty in Genotypes: Implements statistical methods that account for uncertainty and potential errors in genotype data to improve the robustness of association analyses.
• Integration with Bioconductor: Interoperates with the Bioconductor ecosystem for compatibility with genomic data structures and other Bioconductor packages.
• Statistical Programming in R: Executes analyses within the R programming language to leverage R's statistical computation capabilities.
• Formal Review and Testing: Is subject to formal initial review and continuous automated testing under Bioconductor package standards.

Scientific Applications:

• Large-scale SNP association studies: Performs association analyses of SNP data to detect genetic variants associated with traits or diseases.
• Genetic association analysis with genotype uncertainty: Enables association testing that incorporates genotype uncertainty to reduce false positives and negatives due to genotyping inaccuracies.

Methodology:

Applies statistical techniques that explicitly model and account for genotype uncertainty when performing SNP association analyses.