BioinformaticsBioinformaticsPeer-reviewed journal article
ELMER v.2: An R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
Tiago C. SilvaiD, Simon G. CoetzeeiD, Nicole GulliD, Lijing Yao, Dennis J. HazelettiD, Houtan NoushmehriD, De‐Chen LiniD, Benjamin P. BermaniD
Abstract
MotivationDNA 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.\n\nResultsWe 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 this approach can identify GRNs associated with many new Master Regulators including KLF5 in breast cancer.\n\nAvailabilityELMER v.2 is available as an R/Bioconductor package at http://bioconductor.org/packages/ELMER/
- assay: DNA methylation
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 137
- FWCI
- 3.82
- Field percentile
- top 5%
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