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GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data
BACKGROUND: Precise quantitative and spatiotemporal control of gene expression is necessary to ensure proper cellular differentiation and the maintenance of homeostasis. The relationship between gene expression and the spatial organisation of chromatin is highly complex, interdependent and not compl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650858/ https://www.ncbi.nlm.nih.gov/pubmed/26576536 http://dx.doi.org/10.1186/s12864-015-2140-x |
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author | Harmston, Nathan Ing-Simmons, Elizabeth Perry, Malcolm Barešić, Anja Lenhard, Boris |
author_facet | Harmston, Nathan Ing-Simmons, Elizabeth Perry, Malcolm Barešić, Anja Lenhard, Boris |
author_sort | Harmston, Nathan |
collection | PubMed |
description | BACKGROUND: Precise quantitative and spatiotemporal control of gene expression is necessary to ensure proper cellular differentiation and the maintenance of homeostasis. The relationship between gene expression and the spatial organisation of chromatin is highly complex, interdependent and not completely understood. The development of experimental techniques to interrogate both the higher-order structure of chromatin and the interactions between regulatory elements has recently lead to important insights on how gene expression is controlled. The ability to gain these and future insights is critically dependent on computational tools for the analysis and visualisation of data produced by these techniques. RESULTS AND CONCLUSION: We have developed GenomicInteractions, a freely available R/Bioconductor package designed for processing, analysis and visualisation of data generated from various types of chromosome conformation capture experiments. The package allows the easy annotation and summarisation of large genome-wide datasets at both the level of individual interactions and sets of genomic features, and provides several different methods for interrogating and visualising this type of data. We demonstrate this package’s utility by showing example analyses performed on interaction datasets generated using Hi-C and ChIA-PET. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2140-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4650858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46508582015-11-19 GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data Harmston, Nathan Ing-Simmons, Elizabeth Perry, Malcolm Barešić, Anja Lenhard, Boris BMC Genomics Software BACKGROUND: Precise quantitative and spatiotemporal control of gene expression is necessary to ensure proper cellular differentiation and the maintenance of homeostasis. The relationship between gene expression and the spatial organisation of chromatin is highly complex, interdependent and not completely understood. The development of experimental techniques to interrogate both the higher-order structure of chromatin and the interactions between regulatory elements has recently lead to important insights on how gene expression is controlled. The ability to gain these and future insights is critically dependent on computational tools for the analysis and visualisation of data produced by these techniques. RESULTS AND CONCLUSION: We have developed GenomicInteractions, a freely available R/Bioconductor package designed for processing, analysis and visualisation of data generated from various types of chromosome conformation capture experiments. The package allows the easy annotation and summarisation of large genome-wide datasets at both the level of individual interactions and sets of genomic features, and provides several different methods for interrogating and visualising this type of data. We demonstrate this package’s utility by showing example analyses performed on interaction datasets generated using Hi-C and ChIA-PET. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2140-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-17 /pmc/articles/PMC4650858/ /pubmed/26576536 http://dx.doi.org/10.1186/s12864-015-2140-x Text en © Harmston et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Harmston, Nathan Ing-Simmons, Elizabeth Perry, Malcolm Barešić, Anja Lenhard, Boris GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data |
title | GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data |
title_full | GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data |
title_fullStr | GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data |
title_full_unstemmed | GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data |
title_short | GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data |
title_sort | genomicinteractions: an r/bioconductor package for manipulating and investigating chromatin interaction data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650858/ https://www.ncbi.nlm.nih.gov/pubmed/26576536 http://dx.doi.org/10.1186/s12864-015-2140-x |
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