Ranking genomic features using an information-theoretic measure of epigenetic discordance.

ABSTRACT:

Background

Establishment and maintenance of DNA methylation throughout the genome is an important epigenetic mechanism that regulates gene expression whose disruption has been implicated in human diseases like cancer. It is therefore crucial to know which genes, or other genomic features of interest, exhibit significant discordance in DNA methylation between two phenotypes. We have previously proposed an approach for ranking genes based on methylation discordance within their promoter regions, determined by centering a window of fixed size at their transcription start sites. However, we cannot use this method to identify statistically significant genomic features and handle features of variable length and with missing data.

Results

We present a new approach for computing the

SUBMITTER: Jenkinson G 

PROVIDER: S-EPMC6454630 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature