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Dataset Information

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


ABSTRACT:

Motivation

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.

Results

We proposed a method named MeConcord to measure local methylation concordance across reads and CpG sites, respectively. MeConcord showed the most stable performance in distinguishing distinct methylation patterns ('identical', 'uniform' and 'disordered') compared with other metrics. Applying MeConco

SUBMITTER: Zhang X 

PROVIDER: S-EPMC9235486 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature