Pylluminator

Pylluminator implements essential analysis methods for Illumina Infinium BeadChip DNA methylation array data in Python, providing scalable pre-processing, quality control, differential methylation analysis, and visualizations.

Key Features:

• Pre-processing: Implements essential analysis methods for Illumina methylation array data based on established R packages SeSAMe and ChAMP.
• Quality Control: Provides quality control functionality for DNA methylation data analysis.
• Differential Methylation Analysis: Supports differential methylation analysis for comparing methylation patterns.
• Visualizations: Generates visualizations for DNA methylation data exploration and interpretation.

Scientific Applications:

• DNA Methylation Array Analysis: Processes data from Illumina Infinium BeadChip technology including EPICv2 arrays targeting approximately one million loci.
• Large-scale Methylation Studies: Provides scalable data processing solutions for growing data volumes from Illumina methylation array technology.

Methodology:

Pylluminator is based on established R packages SeSAMe and ChAMP, reimplemented in Python 3.12.