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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...

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Detalles Bibliográficos
Autores principales: Pageaud, Yoann, Plass, Christoph, Assenov, Yassen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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
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