Computer vision for pattern detection in chromosome contact maps

Chromatin loops bridging distant loci within chromosomes can be detected by a variety of techniques such as Hi-C. Here the authors present Chromosight, an algorithm applied on mammalian, bacterial, viral and yeast genomes, able to detect various types of pattern in chromosome contact maps, including...

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Autores principales:	Cyril Matthey-Doret, Lyam Baudry, Axel Breuer, Rémi Montagne, Nadège Guiglielmoni, Vittore Scolari, Etienne Jean, Arnaud Campeas, Philippe Henri Chanut, Edgar Oriol, Adrien Méot, Laurent Politis, Antoine Vigouroux, Pierrick Moreau, Romain Koszul, Axel Cournac
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/20c44158dd6e482ab8fe58b0cdcc8deb
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spelling	oai:doaj.org-article:20c44158dd6e482ab8fe58b0cdcc8deb2021-12-02T14:41:25ZComputer vision for pattern detection in chromosome contact maps10.1038/s41467-020-19562-72041-1723https://doaj.org/article/20c44158dd6e482ab8fe58b0cdcc8deb2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19562-7https://doaj.org/toc/2041-1723Chromatin loops bridging distant loci within chromosomes can be detected by a variety of techniques such as Hi-C. Here the authors present Chromosight, an algorithm applied on mammalian, bacterial, viral and yeast genomes, able to detect various types of pattern in chromosome contact maps, including chromosomal loops.Cyril Matthey-DoretLyam BaudryAxel BreuerRémi MontagneNadège GuiglielmoniVittore ScolariEtienne JeanArnaud CampeasPhilippe Henri ChanutEdgar OriolAdrien MéotLaurent PolitisAntoine VigourouxPierrick MoreauRomain KoszulAxel CournacNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Cyril Matthey-Doret Lyam Baudry Axel Breuer Rémi Montagne Nadège Guiglielmoni Vittore Scolari Etienne Jean Arnaud Campeas Philippe Henri Chanut Edgar Oriol Adrien Méot Laurent Politis Antoine Vigouroux Pierrick Moreau Romain Koszul Axel Cournac Computer vision for pattern detection in chromosome contact maps
description	Chromatin loops bridging distant loci within chromosomes can be detected by a variety of techniques such as Hi-C. Here the authors present Chromosight, an algorithm applied on mammalian, bacterial, viral and yeast genomes, able to detect various types of pattern in chromosome contact maps, including chromosomal loops.
format	article
author	Cyril Matthey-Doret Lyam Baudry Axel Breuer Rémi Montagne Nadège Guiglielmoni Vittore Scolari Etienne Jean Arnaud Campeas Philippe Henri Chanut Edgar Oriol Adrien Méot Laurent Politis Antoine Vigouroux Pierrick Moreau Romain Koszul Axel Cournac
author_facet	Cyril Matthey-Doret Lyam Baudry Axel Breuer Rémi Montagne Nadège Guiglielmoni Vittore Scolari Etienne Jean Arnaud Campeas Philippe Henri Chanut Edgar Oriol Adrien Méot Laurent Politis Antoine Vigouroux Pierrick Moreau Romain Koszul Axel Cournac
author_sort	Cyril Matthey-Doret
title	Computer vision for pattern detection in chromosome contact maps
title_short	Computer vision for pattern detection in chromosome contact maps
title_full	Computer vision for pattern detection in chromosome contact maps
title_fullStr	Computer vision for pattern detection in chromosome contact maps
title_full_unstemmed	Computer vision for pattern detection in chromosome contact maps
title_sort	computer vision for pattern detection in chromosome contact maps
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/20c44158dd6e482ab8fe58b0cdcc8deb
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Computer vision for pattern detection in chromosome contact maps

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