DMEAS (DNA Methylation Entropy Analysis Software) is a bioinformatics desktop application explicitly built to extract DNA methylation patterns and quantify epigenetic heterogeneity. Released as a breakthrough user-friendly tool, it moves past basic average methylation assessments by analyzing the variable distribution of cell-to-cell methylation across cell populations.
The program, user manual, and sample data sets are hosted publicly on the DMEAS SourceForge Repository. Core Purpose & Methodology
Traditional epigenomic workflows often compress cellular data down to a singular, average single-site baseline. DMEAS addresses within-sample heterogeneity (WSH) by shifting focus to multi-site sequencing fragments (epialleles):
Segment Scanning: DMEAS systematically scans mapping files to track continuous genomic regions containing at least four contiguous CpG dinucleotides.
Pattern Combinations: The software logs every permutation of methylation status (represented numerically as 0 for unmethylated, 1 for methylated, or 2 for unknown) across single sequencing reads.
Entropy Calculation: It measures cellular diversity within a sample population using methylation entropy. High entropy signifies chaotic, heavily mixed cell-to-cell variations, whereas low entropy implies uniform cellular structures. Input Capabilities
DMEAS provides a graphical user interface designed to handle two major data archetypes:
High-Throughput Alignment Profiles: Direct native support for data outputs parsed through Bismark Bisulfite Mapper. This accommodates both locus-specific target tracks and deep Whole-Genome Bisulfite Sequencing (WGBS) files.
User-Defined Locus Profiles: Customized tabular matrix configurations containing sample details, chromosomal tracking headers, and raw string/numerical methylation reads. Analytics & Visual Output
DMEAS streamlines multi-sample target evaluations via a dedicated suite of visual modules: (PDF) DMEAS: DNA methylation entropy analysis software
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