methyAnalysis

methyAnalysis analyzes DNA methylation data from Methy-Seq experiments, providing estimation and visualization of methylation levels within the Bioconductor/R ecosystem.

Key Features:

• MethyGenoSet Class: Integrates chromosome location information with methylation data to preserve spatial genomic context.
• Estimation Functions: Specialized functions estimate methylation levels from Methy-Seq sequencing data.
• Visualization: Provides functions for visualization of DNA methylation profiles and results.
• Bioconductor Interoperability: Enables data exchange and combined analytical workflows with other Bioconductor packages.
• R-based Statistical Processing: Leverages R to process and analyze high-throughput sequencing datasets and large-scale methylation data.

Scientific Applications:

• Epigenetic profiling: Analysis of DNA methylation patterns to study epigenetic modifications across genomes.
• Gene regulation and development: Investigation of methylation-associated regulation in development and gene expression studies.
• Disease epigenomics (e.g., cancer): Characterization of methylation changes associated with disease processes such as cancer.

Methodology:

Implements R-based statistical routines to process high-throughput Methy-Seq data, estimate methylation levels, and combine methylation measurements with chromosomal locations via the MethyGenoSet class for downstream analysis and visualization.