MeConcord: a new metric to quantitatively characterize DNA methylation heterogeneity across reads and CpG sites | Zendy

Xianglin Zhang | Zendy; Xiaowo Wang | Zendy

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MeConcord: a new metric to quantitatively characterize DNA methylation heterogeneity across reads and CpG sites

Author(s) -

Xianglin Zhang,

Xiaowo Wang

Publication year - 2022

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btac248

Subject(s) - dna methylation , cpg site , biology , methylation , epigenetics , genome , computational biology , genetics , ctcf , differentially methylated regions , gene , gene expression , enhancer

Intermediately methylated regions occupy a significant fraction of the human genome and are closely associated with epigenetic regulations or cell-type deconvolution of bulk data. However, these regions show distinct methylation patterns, corresponding to different biological mechanisms. Although there have been some metrics developed for investigating these regions, the high noise sensitivity limits the utility for distinguishing distinct methylation patterns.

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