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HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization
Summary: Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029040/ https://www.ncbi.nlm.nih.gov/pubmed/24511080 http://dx.doi.org/10.1093/bioinformatics/btu082 |
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author | Paulsen, Jonas Sandve, Geir Kjetil Gundersen, Sveinung Lien, Tonje G. Trengereid, Kai Hovig, Eivind |
author_facet | Paulsen, Jonas Sandve, Geir Kjetil Gundersen, Sveinung Lien, Tonje G. Trengereid, Kai Hovig, Eivind |
author_sort | Paulsen, Jonas |
collection | PubMed |
description | Summary: Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial next step in the unraveling of global gene regulation, and methods for analyzing such data are needed. We have developed HiBrowse, a user-friendly web-tool consisting of a range of hypothesis-based and descriptive statistics, using realistic assumptions in null-models. Availability and implementation: HiBrowse is supported by all major browsers, and is freely available at http://hyperbrowser.uio.no/3d. Software is implemented in Python, and source code is available for download by following instructions on the main site. Contact: jonaspau@ifi.uio.no Supplementary Information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4029040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-40290402014-05-21 HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization Paulsen, Jonas Sandve, Geir Kjetil Gundersen, Sveinung Lien, Tonje G. Trengereid, Kai Hovig, Eivind Bioinformatics Applications Notes Summary: Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial next step in the unraveling of global gene regulation, and methods for analyzing such data are needed. We have developed HiBrowse, a user-friendly web-tool consisting of a range of hypothesis-based and descriptive statistics, using realistic assumptions in null-models. Availability and implementation: HiBrowse is supported by all major browsers, and is freely available at http://hyperbrowser.uio.no/3d. Software is implemented in Python, and source code is available for download by following instructions on the main site. Contact: jonaspau@ifi.uio.no Supplementary Information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-06-01 2014-02-07 /pmc/articles/PMC4029040/ /pubmed/24511080 http://dx.doi.org/10.1093/bioinformatics/btu082 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), 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 Paulsen, Jonas Sandve, Geir Kjetil Gundersen, Sveinung Lien, Tonje G. Trengereid, Kai Hovig, Eivind HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization |
title | HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization |
title_full | HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization |
title_fullStr | HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization |
title_full_unstemmed | HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization |
title_short | HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization |
title_sort | hibrowse: multi-purpose statistical analysis of genome-wide chromatin 3d organization |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029040/ https://www.ncbi.nlm.nih.gov/pubmed/24511080 http://dx.doi.org/10.1093/bioinformatics/btu082 |
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