Detection of significantly differentially methylated regions in targeted bisulfite sequencing data | Zendy

Katja Hebestreit | Zendy; Martin Dugas | Zendy; HansUlrich Klein | Zendy

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Detection of significantly differentially methylated regions in targeted bisulfite sequencing data

Author(s) -

Katja Hebestreit,

Martin Dugas,

HansUlrich Klein

Publication year - 2013

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/btt263

Subject(s) - bioconductor , bisulfite sequencing , bisulfite , dna methylation , false discovery rate , computational biology , biology , methylation , dna sequencing , differentially methylated regions , methylated dna immunoprecipitation , pipeline (software) , genetics , computer science , dna , gene , gene expression , programming language

Bisulfite sequencing is currently the gold standard to obtain genome-wide DNA methylation profiles in eukaryotes. In contrast to the rapid development of appropriate pre-processing and alignment software, methods for analyzing the resulting methylation profiles are relatively limited so far. For instance, an appropriate pipeline to detect DNA methylation differences between cancer and control samples is still required.

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