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ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles

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 approac...

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Autores principales: Silva, Tiago C, Coetzee, Simon G, Gull, Nicole, Yao, Lijing, Hazelett, Dennis J, Noushmehr, Houtan, Lin, De-Chen, Berman, Benjamin P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546131/
https://www.ncbi.nlm.nih.gov/pubmed/30364927
http://dx.doi.org/10.1093/bioinformatics/bty902
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author Silva, Tiago C
Coetzee, Simon G
Gull, Nicole
Yao, Lijing
Hazelett, Dennis J
Noushmehr, Houtan
Lin, De-Chen
Berman, Benjamin P
author_facet Silva, Tiago C
Coetzee, Simon G
Gull, Nicole
Yao, Lijing
Hazelett, Dennis J
Noushmehr, Houtan
Lin, De-Chen
Berman, Benjamin P
author_sort Silva, Tiago C
collection PubMed
description 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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spelling pubmed-65461312019-06-13 ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles Silva, Tiago C Coetzee, Simon G Gull, Nicole Yao, Lijing Hazelett, Dennis J Noushmehr, Houtan Lin, De-Chen Berman, Benjamin P Bioinformatics Applications Notes 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. Oxford University Press 2019-06-01 2018-10-26 /pmc/articles/PMC6546131/ /pubmed/30364927 http://dx.doi.org/10.1093/bioinformatics/bty902 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Silva, Tiago C
Coetzee, Simon G
Gull, Nicole
Yao, Lijing
Hazelett, Dennis J
Noushmehr, Houtan
Lin, De-Chen
Berman, Benjamin P
ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
title ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
title_full ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
title_fullStr ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
title_full_unstemmed ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
title_short ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
title_sort elmer v.2: an r/bioconductor package to reconstruct gene regulatory networks from dna methylation and transcriptome profiles
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546131/
https://www.ncbi.nlm.nih.gov/pubmed/30364927
http://dx.doi.org/10.1093/bioinformatics/bty902
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