decorate

decorate performs differential epigenetic correlation analysis to identify and compare correlations among DNA methylation, ATAC-seq, and histone modification ChIP-seq features across sample groups.

Key Features:

• Identification of Correlated Epigenetic Features: Identifies correlations among DNA methylation, ATAC-seq, and histone modification ChIP-seq features.
• Differential Correlation Analysis: Detects clusters of epigenetic features whose correlations differ between defined groups, such as disease versus control cohorts.
• Scalability: Handles genome-wide datasets encompassing hundreds of samples.
• Robust Statistical Framework: Implements a robust, scalable statistical framework tailored for epigenetic correlation testing.

Scientific Applications:

• Disease Biology: Characterizes differential epigenetic correlations between diseased and control cohorts to inform studies of disease mechanisms.
• Epigenetic Research: Explores interactions among DNA methylation, chromatin accessibility (ATAC-seq), and histone modifications to study gene regulation and cellular function.

Methodology:

Performs differential epigenetic correlation tests using a robust, scalable statistical framework to identify correlated features and assess differences across defined sample subsets in genome-wide DNA methylation, ATAC-seq, and histone modification ChIP-seq datasets.