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Identification of active regulatory regions from DNA methylation data.

ABSTRACT: We have recently shown that transcription factor binding leads to defined reduction in DNA methylation, allowing for the identification of active regulatory regions from high-resolution methylomes. Here, we present MethylSeekR, a computational tool to accurately identify such footprints from bisulfite-sequencing data. Applying our method to a large number of published human methylomes, we demonstrate its broad applicability and generalize our previous findings from a neuronal differentiation system to many cell types and tissues. MethylSeekR is available as an R package at www.bioconductor.org.

SUBMITTER: Burger L

PROVIDER: S-EPMC3763559 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

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Identification of active regulatory regions from DNA methylation data.

Burger Lukas L Gaidatzis Dimos D Schübeler Dirk D Stadler Michael B MB

Nucleic acids research 20130704 16

We have recently shown that transcription factor binding leads to defined reduction in DNA methylation, allowing for the identification of active regulatory regions from high-resolution methylomes. Here, we present MethylSeekR, a computational tool to accurately identify such footprints from bisulfite-sequencing data. Applying our method to a large number of published human methylomes, we demonstrate its broad applicability and generalize our previous findings from a neuronal differentiation sys ...[more]

PMID: 23828043

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