Modelling the conditional regulatory activity of methylated and bivalent promoters.

ABSTRACT:

Background

Predictive modelling of gene expression is a powerful framework for the in silico exploration of transcriptional regulatory interactions through the integration of high-throughput -omics data. A major limitation of previous approaches is their inability to handle conditional interactions that emerge when genes are subject to different regulatory mechanisms. Although chromatin immunoprecipitation-based histone modification data are often used as proxies for chromatin accessibility, the association between these variables and expression often depends upon the presence of other epigenetic markers (e.g. DNA methylation or histone variants). These conditional interactions are poorly handled by previous predictive models and reduce the reliability of downstream biological infe

SUBMITTER: Budden DM 

PROVIDER: S-EPMC4474576 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature