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Dataset Information

MethylAction: detecting differentially methylated regions that distinguish biological subtypes.


ABSTRACT: DNA methylation differences capture substantial information about the molecular and gene-regulatory states among biological subtypes. Enrichment-based next generation sequencing methods such as MBD-isolated genome sequencing (MiGS) and MeDIP-seq are appealing for studying DNA methylation genome-wide in order to distinguish between biological subtypes. However, current analytic tools do not provide optimal features for analyzing three-group or larger study designs. MethylAction addresses this need by detecting all possible patterns of statistically significant hyper- and hypo- methylation in comparisons involving any number of groups. Crucially, significance is established at the level of differentially methylated regions (DMRs), and bootstrapping determines false discovery rates (FDRs) ass

SUBMITTER: Bhasin JM 

PROVIDER: S-EPMC4705678 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature