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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...

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Detalles Bibliográficos
Autores principales: Paulsen, Jonas, Sandve, Geir Kjetil, Gundersen, Sveinung, Lien, Tonje G., Trengereid, Kai, Hovig, Eivind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
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.
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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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