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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6546131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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