Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales

The order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, the authors develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi-C experiments on the model org...

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Auteurs principaux:	Joris J. B. Messelink, Muriel C. F. van Teeseling, Jacqueline Janssen, Martin Thanbichler, Chase P. Broedersz
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2021
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/84d87ae148d5440b8d200074a9cfa90f
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id	oai:doaj.org-article:84d87ae148d5440b8d200074a9cfa90f
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spelling	oai:doaj.org-article:84d87ae148d5440b8d200074a9cfa90f2021-12-02T14:23:03ZLearning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales10.1038/s41467-021-22189-x2041-1723https://doaj.org/article/84d87ae148d5440b8d200074a9cfa90f2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22189-xhttps://doaj.org/toc/2041-1723The order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, the authors develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi-C experiments on the model organism Caulobacter crescentus.Joris J. B. MesselinkMuriel C. F. van TeeselingJacqueline JanssenMartin ThanbichlerChase P. BroederszNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Joris J. B. Messelink Muriel C. F. van Teeseling Jacqueline Janssen Martin Thanbichler Chase P. Broedersz Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
description	The order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, the authors develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi-C experiments on the model organism Caulobacter crescentus.
format	article
author	Joris J. B. Messelink Muriel C. F. van Teeseling Jacqueline Janssen Martin Thanbichler Chase P. Broedersz
author_facet	Joris J. B. Messelink Muriel C. F. van Teeseling Jacqueline Janssen Martin Thanbichler Chase P. Broedersz
author_sort	Joris J. B. Messelink
title	Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
title_short	Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
title_full	Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
title_fullStr	Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
title_full_unstemmed	Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
title_sort	learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/84d87ae148d5440b8d200074a9cfa90f
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Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales

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