Accurate genome-scale percentage DNA methylation estimates from microarray data.

ABSTRACT: DNA methylation is a key regulator of gene function in a multitude of both normal and abnormal biological processes, but tools to elucidate its roles on a genome-wide scale are still in their infancy. Methylation sensitive restriction enzymes and microarrays provide a potential high-throughput, low-cost platform to allow methylation profiling. However, accurate absolute methylation estimates have been elusive due to systematic errors and unwanted variability. Previous microarray preprocessing procedures, mostly developed for expression arrays, fail to adequately normalize methylation-related data since they rely on key assumptions that are violated in the case of DNA methylation. We develop a normalization strategy tailored to DNA methylation data and an empirical Bayes percentage methylat

SUBMITTER: Aryee MJ 

PROVIDER: S-EPMC3062148 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature