An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data

An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data

Genome-wide chromosome conformation capture has helped us identify features of genome topology influencing biology but requires careful statistical analysis. Here the authors present HiC-DC, a bioinformatics method that can detect statistically significant regulatory interactions.

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Autores principales: Mark Carty, Lee Zamparo, Merve Sahin, Alvaro González, Raphael Pelossof, Olivier Elemento, Christina S. Leslie
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/5d47fe47c7bf4ef0ad411c538d7ab7a4
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spelling oai:doaj.org-article:5d47fe47c7bf4ef0ad411c538d7ab7a42021-12-02T14:42:25ZAn integrated model for detecting significant chromatin interactions from high-resolution Hi-C data10.1038/ncomms154542041-1723https://doaj.org/article/5d47fe47c7bf4ef0ad411c538d7ab7a42017-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms15454https://doaj.org/toc/2041-1723Genome-wide chromosome conformation capture has helped us identify features of genome topology influencing biology but requires careful statistical analysis. Here the authors present HiC-DC, a bioinformatics method that can detect statistically significant regulatory interactions.Mark CartyLee ZamparoMerve SahinAlvaro GonzálezRaphael PelossofOlivier ElementoChristina S. LeslieNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Mark Carty
Lee Zamparo
Merve Sahin
Alvaro González
Raphael Pelossof
Olivier Elemento
Christina S. Leslie
An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data
description Genome-wide chromosome conformation capture has helped us identify features of genome topology influencing biology but requires careful statistical analysis. Here the authors present HiC-DC, a bioinformatics method that can detect statistically significant regulatory interactions.
format article
author Mark Carty
Lee Zamparo
Merve Sahin
Alvaro González
Raphael Pelossof
Olivier Elemento
Christina S. Leslie
author_facet Mark Carty
Lee Zamparo
Merve Sahin
Alvaro González
Raphael Pelossof
Olivier Elemento
Christina S. Leslie
author_sort Mark Carty
title An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data
title_short An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data
title_full An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data
title_fullStr An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data
title_full_unstemmed An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data
title_sort integrated model for detecting significant chromatin interactions from high-resolution hi-c data
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/5d47fe47c7bf4ef0ad411c538d7ab7a4
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