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Enrichment analysis with EpiAnnotator
MOTIVATION: Deciphering relevant biological insights from epigenomic data can be a challenging task. One commonly used approach is to perform enrichment analysis. However, finding, downloading and using the publicly available functional annotations require time, programming skills and IT infrastruct...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946894/ https://www.ncbi.nlm.nih.gov/pubmed/29329372 http://dx.doi.org/10.1093/bioinformatics/bty007 |
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author | Pageaud, Yoann Plass, Christoph Assenov, Yassen |
author_facet | Pageaud, Yoann Plass, Christoph Assenov, Yassen |
author_sort | Pageaud, Yoann |
collection | PubMed |
description | MOTIVATION: Deciphering relevant biological insights from epigenomic data can be a challenging task. One commonly used approach is to perform enrichment analysis. However, finding, downloading and using the publicly available functional annotations require time, programming skills and IT infrastructure. Here we describe the online tool EpiAnnotator for performing enrichment analyses on epigenomic data in a fast and user-friendly way. RESULTS: EpiAnnotator is an R Package accompanied by a web interface. It contains regularly updated annotations from 4 public databases: Blueprint, RoadMap, GENCODE and the UCSC Genome Browser. Annotations are hosted locally or in a server environment and automatically updated by scripts of our own design. Thousands of tracks are available, reflecting data on a variety of tissues, cell types and cell lines from the human and mouse genomes. Users need to upload sets of selected and background regions. Results are displayed in customizable and easily interpretable figures. AVAILABILITY AND IMPLEMENTATION: The R package and Shiny app are open source and available under the GPL v3 license. EpiAnnotator’s web interface is accessible at http://computational-epigenomics.com/en/epiannotator. |
format | Online Article Text |
id | pubmed-5946894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59468942018-05-15 Enrichment analysis with EpiAnnotator Pageaud, Yoann Plass, Christoph Assenov, Yassen Bioinformatics Applications Notes MOTIVATION: Deciphering relevant biological insights from epigenomic data can be a challenging task. One commonly used approach is to perform enrichment analysis. However, finding, downloading and using the publicly available functional annotations require time, programming skills and IT infrastructure. Here we describe the online tool EpiAnnotator for performing enrichment analyses on epigenomic data in a fast and user-friendly way. RESULTS: EpiAnnotator is an R Package accompanied by a web interface. It contains regularly updated annotations from 4 public databases: Blueprint, RoadMap, GENCODE and the UCSC Genome Browser. Annotations are hosted locally or in a server environment and automatically updated by scripts of our own design. Thousands of tracks are available, reflecting data on a variety of tissues, cell types and cell lines from the human and mouse genomes. Users need to upload sets of selected and background regions. Results are displayed in customizable and easily interpretable figures. AVAILABILITY AND IMPLEMENTATION: The R package and Shiny app are open source and available under the GPL v3 license. EpiAnnotator’s web interface is accessible at http://computational-epigenomics.com/en/epiannotator. Oxford University Press 2018-05-15 2018-01-10 /pmc/articles/PMC5946894/ /pubmed/29329372 http://dx.doi.org/10.1093/bioinformatics/bty007 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Pageaud, Yoann Plass, Christoph Assenov, Yassen Enrichment analysis with EpiAnnotator |
title | Enrichment analysis with EpiAnnotator |
title_full | Enrichment analysis with EpiAnnotator |
title_fullStr | Enrichment analysis with EpiAnnotator |
title_full_unstemmed | Enrichment analysis with EpiAnnotator |
title_short | Enrichment analysis with EpiAnnotator |
title_sort | enrichment analysis with epiannotator |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946894/ https://www.ncbi.nlm.nih.gov/pubmed/29329372 http://dx.doi.org/10.1093/bioinformatics/bty007 |
work_keys_str_mv | AT pageaudyoann enrichmentanalysiswithepiannotator AT plasschristoph enrichmentanalysiswithepiannotator AT assenovyassen enrichmentanalysiswithepiannotator |