MeConcord

MeConcord quantifies DNA methylation heterogeneity across sequencing reads and CpG sites to characterize local methylation concordance and distinguish 'identical', 'uniform', and 'disordered' methylation patterns in the human genome.

Key Features:

• Read- and CpG-level quantification: Provides quantitative characterization of DNA methylation heterogeneity across sequencing reads and CpG sites.
• Local concordance metric: Measures local methylation concordance to summarize read-level methylation patterns.
• Pattern classification: Classifies local methylation into 'identical', 'uniform', and 'disordered' categories.
• Noise robustness: Demonstrates superior stability in performance compared to other available metrics.
• Whole-genome applicability: Applied at the whole-genome scale in analyses of 25 cell lines, primary cells, and tissues.
• Focus on intermediate methylation: Targets intermediately methylated regions relevant to epigenetic regulation and cell-type deconvolution from bulk data.
• Region- and genome-level analysis: Enables investigation of local read-level methylation patterns across entire genomes and specific regions of interest.

Scientific Applications:

• Epigenetic regulation studies: Characterizes methylation heterogeneity in regions implicated in epigenetic regulation.
• Cell-type deconvolution from bulk data: Supports analysis of intermediate methylation patterns for cell-type deconvolution in bulk samples.
• Association with genomic features: Reveals associations between methylation patterns and CTCF binding sites and imprinted genes.
• CpG island hypermethylation analysis: Distinguishes CpG island hypermethylation patterns associated with senescence and tumorigenesis.
• Comparative studies across samples: Applied to whole-genome data from multiple cell lines, primary cells, and tissues to compare methylation patterns.

Methodology:

Computes local methylation concordance metrics across reads and CpG sites and classifies regions as 'identical', 'uniform', or 'disordered'.