podkat

podkat performs association testing on genetic variants, including very rare and private variants, to identify genotype–phenotype associations from Variant Call Format (VCF) files or pre-processed matrix data across whole-genome, whole-exome, or region-specific analyses.

Key Features:

• Handling Rare Variants: Handles very rare and private variants in association testing workflows.
• Data Flexibility: Accepts pre-processed matrix data and Variant Call Format (VCF) files as input.
• Comprehensive Analysis Options: Supports whole-genome, whole-exome, and region-specific association tests.
• Integration with Bioconductor: Integrated with Bioconductor and implemented in the R programming environment.

Scientific Applications:

• Rare variant association discovery: Detects associations involving very rare or private variants to investigate genetic predispositions and disease mechanisms.
• Genome-wide and targeted studies: Applicable to large-scale genome-wide association studies (GWAS) and targeted analyses of specific genomic regions.
• Raw and processed data analysis: Enables analysis directly from VCF files or from pre-processed matrices to support studies using raw or processed variant data.

Methodology:

Performs statistical association testing implemented in R, accepts VCF and pre-processed matrix inputs, and supports whole-genome, whole-exome, and region-specific testing while being integrated with Bioconductor.