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Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots
Single-cell analysis of the three-dimensional (3D) chromosome structure can reveal cell-to-cell variability in genome activities. Here, we propose to apply recurrence plots, a mathematical method of nonlinear time series analysis, to reconstruct the 3D chromosome structure of a single cell based on...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057099/ https://www.ncbi.nlm.nih.gov/pubmed/27725694 http://dx.doi.org/10.1038/srep34982 |
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author | Hirata, Yoshito Oda, Arisa Ohta, Kunihiro Aihara, Kazuyuki |
author_facet | Hirata, Yoshito Oda, Arisa Ohta, Kunihiro Aihara, Kazuyuki |
author_sort | Hirata, Yoshito |
collection | PubMed |
description | Single-cell analysis of the three-dimensional (3D) chromosome structure can reveal cell-to-cell variability in genome activities. Here, we propose to apply recurrence plots, a mathematical method of nonlinear time series analysis, to reconstruct the 3D chromosome structure of a single cell based on information of chromosomal contacts from genome-wide chromosome conformation capture (Hi-C) data. This recurrence plot-based reconstruction (RPR) method enables rapid reconstruction of a unique structure in single cells, even from incomplete Hi-C information. |
format | Online Article Text |
id | pubmed-5057099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50570992016-10-24 Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots Hirata, Yoshito Oda, Arisa Ohta, Kunihiro Aihara, Kazuyuki Sci Rep Article Single-cell analysis of the three-dimensional (3D) chromosome structure can reveal cell-to-cell variability in genome activities. Here, we propose to apply recurrence plots, a mathematical method of nonlinear time series analysis, to reconstruct the 3D chromosome structure of a single cell based on information of chromosomal contacts from genome-wide chromosome conformation capture (Hi-C) data. This recurrence plot-based reconstruction (RPR) method enables rapid reconstruction of a unique structure in single cells, even from incomplete Hi-C information. Nature Publishing Group 2016-10-11 /pmc/articles/PMC5057099/ /pubmed/27725694 http://dx.doi.org/10.1038/srep34982 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Hirata, Yoshito Oda, Arisa Ohta, Kunihiro Aihara, Kazuyuki Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
title | Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
title_full | Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
title_fullStr | Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
title_full_unstemmed | Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
title_short | Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
title_sort | three-dimensional reconstruction of single-cell chromosome structure using recurrence plots |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057099/ https://www.ncbi.nlm.nih.gov/pubmed/27725694 http://dx.doi.org/10.1038/srep34982 |
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