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4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?
Genome-wide sequencing technologies enable investigations of the structural properties of the genome in various spatial dimensions. Here, we review computational techniques developed to model the three-dimensional genome in single cells versus ensembles of cells and assess their underlying assumptio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823877/ https://www.ncbi.nlm.nih.gov/pubmed/27052789 http://dx.doi.org/10.1186/s13059-016-0923-2 |
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author | Sekelja, Monika Paulsen, Jonas Collas, Philippe |
author_facet | Sekelja, Monika Paulsen, Jonas Collas, Philippe |
author_sort | Sekelja, Monika |
collection | PubMed |
description | Genome-wide sequencing technologies enable investigations of the structural properties of the genome in various spatial dimensions. Here, we review computational techniques developed to model the three-dimensional genome in single cells versus ensembles of cells and assess their underlying assumptions. We further address approaches to study the spatio-temporal aspects of genome organization from single-cell data. |
format | Online Article Text |
id | pubmed-4823877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48238772016-04-08 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? Sekelja, Monika Paulsen, Jonas Collas, Philippe Genome Biol Review Genome-wide sequencing technologies enable investigations of the structural properties of the genome in various spatial dimensions. Here, we review computational techniques developed to model the three-dimensional genome in single cells versus ensembles of cells and assess their underlying assumptions. We further address approaches to study the spatio-temporal aspects of genome organization from single-cell data. BioMed Central 2016-04-07 /pmc/articles/PMC4823877/ /pubmed/27052789 http://dx.doi.org/10.1186/s13059-016-0923-2 Text en © Sekelja et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Sekelja, Monika Paulsen, Jonas Collas, Philippe 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
title | 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
title_full | 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
title_fullStr | 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
title_full_unstemmed | 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
title_short | 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
title_sort | 4d nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823877/ https://www.ncbi.nlm.nih.gov/pubmed/27052789 http://dx.doi.org/10.1186/s13059-016-0923-2 |
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