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Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biophysical Society. Published by Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912777/ http://dx.doi.org/10.1016/j.bpj.2022.11.2643 |
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author | Singhal, Ankush Roth, Cullen Micheva-Viteva, Sofiya Lappala, Anna Lee, Jeannie T. Starkenburg, Shawn R. Sanbonmatsu, Karissa Y. |
author_facet | Singhal, Ankush Roth, Cullen Micheva-Viteva, Sofiya Lappala, Anna Lee, Jeannie T. Starkenburg, Shawn R. Sanbonmatsu, Karissa Y. |
author_sort | Singhal, Ankush |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9912777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Biophysical Society. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99127772023-02-13 Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection Singhal, Ankush Roth, Cullen Micheva-Viteva, Sofiya Lappala, Anna Lee, Jeannie T. Starkenburg, Shawn R. Sanbonmatsu, Karissa Y. Biophys J Article Biophysical Society. Published by Elsevier Inc. 2023-02-10 2023-02-10 /pmc/articles/PMC9912777/ http://dx.doi.org/10.1016/j.bpj.2022.11.2643 Text en Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Singhal, Ankush Roth, Cullen Micheva-Viteva, Sofiya Lappala, Anna Lee, Jeannie T. Starkenburg, Shawn R. Sanbonmatsu, Karissa Y. Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
title | Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
title_full | Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
title_fullStr | Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
title_full_unstemmed | Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
title_short | Polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
title_sort | polymer modelling accurately predicts three-dimensional chromosome reorganization with a seasonal coronavirus infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912777/ http://dx.doi.org/10.1016/j.bpj.2022.11.2643 |
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