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eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data
SUMMARY: The Illumina Infinium EPIC BeadChip is a new high-throughput array for DNA methylation analysis, extending the earlier 450k array by over 400 000 new sites. Previously, a method named eFORGE was developed to provide insights into cell type-specific and cell-composition effects for 450k data...
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/PMC6853678/ https://www.ncbi.nlm.nih.gov/pubmed/31161210 http://dx.doi.org/10.1093/bioinformatics/btz456 |
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author | Breeze, Charles E Reynolds, Alex P van Dongen, Jenny Dunham, Ian Lazar, John Neph, Shane Vierstra, Jeff Bourque, Guillaume Teschendorff, Andrew E Stamatoyannopoulos, John A Beck, Stephan |
author_facet | Breeze, Charles E Reynolds, Alex P van Dongen, Jenny Dunham, Ian Lazar, John Neph, Shane Vierstra, Jeff Bourque, Guillaume Teschendorff, Andrew E Stamatoyannopoulos, John A Beck, Stephan |
author_sort | Breeze, Charles E |
collection | PubMed |
description | SUMMARY: The Illumina Infinium EPIC BeadChip is a new high-throughput array for DNA methylation analysis, extending the earlier 450k array by over 400 000 new sites. Previously, a method named eFORGE was developed to provide insights into cell type-specific and cell-composition effects for 450k data. Here, we present a significantly updated and improved version of eFORGE that can analyze both EPIC and 450k array data. New features include analysis of chromatin states, transcription factor motifs and DNase I footprints, providing tools for epigenome-wide association study interpretation and epigenome editing. AVAILABILITY AND IMPLEMENTATION: eFORGE v2.0 is implemented as a web tool available from https://eforge.altiusinstitute.org and https://eforge-tf.altiusinstitute.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6853678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68536782019-11-19 eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data Breeze, Charles E Reynolds, Alex P van Dongen, Jenny Dunham, Ian Lazar, John Neph, Shane Vierstra, Jeff Bourque, Guillaume Teschendorff, Andrew E Stamatoyannopoulos, John A Beck, Stephan Bioinformatics Applications Notes SUMMARY: The Illumina Infinium EPIC BeadChip is a new high-throughput array for DNA methylation analysis, extending the earlier 450k array by over 400 000 new sites. Previously, a method named eFORGE was developed to provide insights into cell type-specific and cell-composition effects for 450k data. Here, we present a significantly updated and improved version of eFORGE that can analyze both EPIC and 450k array data. New features include analysis of chromatin states, transcription factor motifs and DNase I footprints, providing tools for epigenome-wide association study interpretation and epigenome editing. AVAILABILITY AND IMPLEMENTATION: eFORGE v2.0 is implemented as a web tool available from https://eforge.altiusinstitute.org and https://eforge-tf.altiusinstitute.org/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-11-15 2019-06-04 /pmc/articles/PMC6853678/ /pubmed/31161210 http://dx.doi.org/10.1093/bioinformatics/btz456 Text en © The Author(s) 2019. 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 Breeze, Charles E Reynolds, Alex P van Dongen, Jenny Dunham, Ian Lazar, John Neph, Shane Vierstra, Jeff Bourque, Guillaume Teschendorff, Andrew E Stamatoyannopoulos, John A Beck, Stephan eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data |
title | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data |
title_full | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data |
title_fullStr | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data |
title_full_unstemmed | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data |
title_short | eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data |
title_sort | eforge v2.0: updated analysis of cell type-specific signal in epigenomic data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853678/ https://www.ncbi.nlm.nih.gov/pubmed/31161210 http://dx.doi.org/10.1093/bioinformatics/btz456 |
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