ELMER v.2: AN R/BIOCONDUCTOR PACKAGE TO RECONSTRUCT GENE REGULATORY NETWORKS FROM DNA METHYLATION AND TRANSCRIPTOME PROFILES 

This is an update to methods presented in an early paper where we showed how methylation levels correlated with nearby gene expression can be leveraged to uncover the regulatory networks in cancer.

Abstract

MOTIVATION:

DNA methylation has been used to identify functional changes at transcriptional enhancers and other cis-regulatory modules (CRMs) in tumors and other disease tissues. Our R/Bioconductor package ELMER (Enhancer Linking by Methylation/Expression Relationships) provides a systematic approach that reconstructs altered gene regulatory networks (GRNs) by combining enhancer methylation and gene expression data derived from the same sample set.

RESULTS:

We present a completely revised version 2 of ELMER that provides numerous new features including an optional web-based interface and a new Supervised Analysis mode to use pre-defined sample groupings. We show that Supervised mode significantly increases statistical power and identifies additional GRNs and associated Master Regulators, such as SOX11 and KLF5 in Basal-like breast cancer.

AVAILABILITY AND IMPLEMENTATION:

ELMER v.2 is available as an R/Bioconductor package at http://bioconductor.org/packages/ELMER/.

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

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