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Enhort: a platform for deep analysis of genomic positions
The rise of high-throughput methods in genomic research greatly expanded our knowledge about the functionality of the genome. At the same time, the amount of available genomic position data increased massively, e.g., through genome-wide profiling of protein binding, virus integration or DNA methylat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924414/ https://www.ncbi.nlm.nih.gov/pubmed/33816851 http://dx.doi.org/10.7717/peerj-cs.198 |
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author | Menzel, Michael Koch, Peter Glasenhardt, Stefan Gogol-Döring, Andreas |
author_facet | Menzel, Michael Koch, Peter Glasenhardt, Stefan Gogol-Döring, Andreas |
author_sort | Menzel, Michael |
collection | PubMed |
description | The rise of high-throughput methods in genomic research greatly expanded our knowledge about the functionality of the genome. At the same time, the amount of available genomic position data increased massively, e.g., through genome-wide profiling of protein binding, virus integration or DNA methylation. However, there is no specialized software to investigate integration site profiles of virus integration or transcription factor binding sites by correlating the sites with the diversity of available genomic annotations. Here we present Enhort, a user-friendly software tool for relating large sets of genomic positions to a variety of annotations. It functions as a statistics based genome browser, not focused on a single locus but analyzing many genomic positions simultaneously. Enhort provides comprehensive yet easy-to-use methods for statistical analysis, visualization, and the adjustment of background models according to experimental conditions and scientific questions. Enhort is publicly available online at enhort.mni.thm.de and published under GNU General Public License. |
format | Online Article Text |
id | pubmed-7924414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79244142021-04-02 Enhort: a platform for deep analysis of genomic positions Menzel, Michael Koch, Peter Glasenhardt, Stefan Gogol-Döring, Andreas PeerJ Comput Sci Bioinformatics The rise of high-throughput methods in genomic research greatly expanded our knowledge about the functionality of the genome. At the same time, the amount of available genomic position data increased massively, e.g., through genome-wide profiling of protein binding, virus integration or DNA methylation. However, there is no specialized software to investigate integration site profiles of virus integration or transcription factor binding sites by correlating the sites with the diversity of available genomic annotations. Here we present Enhort, a user-friendly software tool for relating large sets of genomic positions to a variety of annotations. It functions as a statistics based genome browser, not focused on a single locus but analyzing many genomic positions simultaneously. Enhort provides comprehensive yet easy-to-use methods for statistical analysis, visualization, and the adjustment of background models according to experimental conditions and scientific questions. Enhort is publicly available online at enhort.mni.thm.de and published under GNU General Public License. PeerJ Inc. 2019-06-10 /pmc/articles/PMC7924414/ /pubmed/33816851 http://dx.doi.org/10.7717/peerj-cs.198 Text en ©2019 Menzel et al. 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 use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Menzel, Michael Koch, Peter Glasenhardt, Stefan Gogol-Döring, Andreas Enhort: a platform for deep analysis of genomic positions |
title | Enhort: a platform for deep analysis of genomic positions |
title_full | Enhort: a platform for deep analysis of genomic positions |
title_fullStr | Enhort: a platform for deep analysis of genomic positions |
title_full_unstemmed | Enhort: a platform for deep analysis of genomic positions |
title_short | Enhort: a platform for deep analysis of genomic positions |
title_sort | enhort: a platform for deep analysis of genomic positions |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924414/ https://www.ncbi.nlm.nih.gov/pubmed/33816851 http://dx.doi.org/10.7717/peerj-cs.198 |
work_keys_str_mv | AT menzelmichael enhortaplatformfordeepanalysisofgenomicpositions AT kochpeter enhortaplatformfordeepanalysisofgenomicpositions AT glasenhardtstefan enhortaplatformfordeepanalysisofgenomicpositions AT gogoldoringandreas enhortaplatformfordeepanalysisofgenomicpositions |