decorate: Differential Epigenetic Coregulation Test

Abstract

Motivation: Identifying coregulated epigenetic features and finding differences in coregulation between individuals with disease compared to controls can give novel insight into disease biology. This framework has been successful in analysis of gene expression data, but application to epigenetic data has been limited by the computational cost and lack of scalable software.

Results: Decorate, differential epigenetic coregulation test, identifies coregulated epigenetic features and finds clusters of features that are differentially coregulated between cases and controls. The software scales to genome-wide datasets of epigenetic assays including histone modifications, chromatin accessibility and DNA methylation on hundreds of individuals.