argyle

argyle provides quality control, normalization, summarization, and format conversion for Illumina genotyping array data to enable genetic association, population genetics, and functional genomics analyses.

Key Features:

• Quality Control Tools: Functions for checking sample and probe integrity, detecting batch effects, and identifying outliers in genotyping array data.
• Normalization Procedures: Normalization techniques to improve reliability and comparability of array-derived genotype and intensity measures across samples and experiments.
• Data Summarization Utilities: Visual and statistical summarization methods, including plots and descriptive statistics, for exploratory analysis of genotyping data.
• Format Conversion Tools: Converters to interoperate with PLINK, R/qtl, and DOQTL file formats for downstream genetic analyses.
• R Implementation: Implemented as an R package leveraging R's statistical computing and data manipulation capabilities.
• Illumina Platform Compatibility: Tailored specifically for Illumina genotyping arrays to ensure compatibility with Illumina-derived data structures.

Scientific Applications:

• Genetic Association Studies: Preparing and QC'ing genotype data for identification of variants associated with traits or diseases.
• Population Genetics: Analyzing genetic variation within and between populations using cleaned and summarized array data.
• Functional Genomics: Enabling genotype-phenotype correlation analyses to explore gene function and regulation.

Methodology:

Implemented in R for statistical computing and data manipulation and specifically tailored for processing Illumina genotyping array data.