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EpiRegio: analysis and retrieval of regulatory elements linked to genes
A current challenge in genomics is to interpret non-coding regions and their role in transcriptional regulation of possibly distant target genes. Genome-wide association studies show that a large part of genomic variants are found in those non-coding regions, but their mechanisms of gene regulation...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319550/ https://www.ncbi.nlm.nih.gov/pubmed/32459338 http://dx.doi.org/10.1093/nar/gkaa382 |
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author | Baumgarten, Nina Hecker, Dennis Karunanithi, Sivarajan Schmidt, Florian List, Markus Schulz, Marcel H |
author_facet | Baumgarten, Nina Hecker, Dennis Karunanithi, Sivarajan Schmidt, Florian List, Markus Schulz, Marcel H |
author_sort | Baumgarten, Nina |
collection | PubMed |
description | A current challenge in genomics is to interpret non-coding regions and their role in transcriptional regulation of possibly distant target genes. Genome-wide association studies show that a large part of genomic variants are found in those non-coding regions, but their mechanisms of gene regulation are often unknown. An additional challenge is to reliably identify the target genes of the regulatory regions, which is an essential step in understanding their impact on gene expression. Here we present the EpiRegio web server, a resource of regulatory elements (REMs). REMs are genomic regions that exhibit variations in their chromatin accessibility profile associated with changes in expression of their target genes. EpiRegio incorporates both epigenomic and gene expression data for various human primary cell types and tissues, providing an integrated view of REMs in the genome. Our web server allows the analysis of genes and their associated REMs, including the REM’s activity and its estimated cell type-specific contribution to its target gene’s expression. Further, it is possible to explore genomic regions for their regulatory potential, investigate overlapping REMs and by that the dissection of regions of large epigenomic complexity. EpiRegio allows programmatic access through a REST API and is freely available at https://epiregio.de/. |
format | Online Article Text |
id | pubmed-7319550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73195502020-07-01 EpiRegio: analysis and retrieval of regulatory elements linked to genes Baumgarten, Nina Hecker, Dennis Karunanithi, Sivarajan Schmidt, Florian List, Markus Schulz, Marcel H Nucleic Acids Res Web Server Issue A current challenge in genomics is to interpret non-coding regions and their role in transcriptional regulation of possibly distant target genes. Genome-wide association studies show that a large part of genomic variants are found in those non-coding regions, but their mechanisms of gene regulation are often unknown. An additional challenge is to reliably identify the target genes of the regulatory regions, which is an essential step in understanding their impact on gene expression. Here we present the EpiRegio web server, a resource of regulatory elements (REMs). REMs are genomic regions that exhibit variations in their chromatin accessibility profile associated with changes in expression of their target genes. EpiRegio incorporates both epigenomic and gene expression data for various human primary cell types and tissues, providing an integrated view of REMs in the genome. Our web server allows the analysis of genes and their associated REMs, including the REM’s activity and its estimated cell type-specific contribution to its target gene’s expression. Further, it is possible to explore genomic regions for their regulatory potential, investigate overlapping REMs and by that the dissection of regions of large epigenomic complexity. EpiRegio allows programmatic access through a REST API and is freely available at https://epiregio.de/. Oxford University Press 2020-07-02 2020-05-27 /pmc/articles/PMC7319550/ /pubmed/32459338 http://dx.doi.org/10.1093/nar/gkaa382 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Web Server Issue Baumgarten, Nina Hecker, Dennis Karunanithi, Sivarajan Schmidt, Florian List, Markus Schulz, Marcel H EpiRegio: analysis and retrieval of regulatory elements linked to genes |
title | EpiRegio: analysis and retrieval of regulatory elements linked to genes |
title_full | EpiRegio: analysis and retrieval of regulatory elements linked to genes |
title_fullStr | EpiRegio: analysis and retrieval of regulatory elements linked to genes |
title_full_unstemmed | EpiRegio: analysis and retrieval of regulatory elements linked to genes |
title_short | EpiRegio: analysis and retrieval of regulatory elements linked to genes |
title_sort | epiregio: analysis and retrieval of regulatory elements linked to genes |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319550/ https://www.ncbi.nlm.nih.gov/pubmed/32459338 http://dx.doi.org/10.1093/nar/gkaa382 |
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