4D nucleome modeling
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- dc.contributor.author Marti-Renom, Marc A.
- dc.contributor.author Paulsen, Jonas
- dc.contributor.author Jost, Daniel
- dc.contributor.author Marti-Renom, Marc A.
- dc.date.accessioned 2020-12-16T07:12:04Z
- dc.date.available 2020-12-16T07:12:04Z
- dc.date.issued 2021
- dc.description.abstract The intrinsic dynamic nature of chromosomes is emerging as a fundamental component in regulating DNA transcription, replication, and damage-repair among other nuclear functions. With this increased awareness, reinforced over the last ten years, many new experimental techniques, mainly based on microscopy and chromosome conformation capture, have been introduced to study the genome in space and time. Owing to the increasing complexity of these cutting-edge techniques, computational approaches have become of paramount importance to interpret, contextualize, and complement such experiments with new insights. Hence, it is becoming crucial for experimental biologists to have a clear understanding of the diverse theoretical modeling approaches available and the biological information each of them can provide.
- dc.description.sponsorship M.A.M-R. acknowledges support from the European Union’s Seventh Framework Programme through the ERC (grant agreement 609989), European Union’s Horizon 2020 research and innovation programme (grant agreement 676556), and the Spanish Ministerio de Ciencia, Innovación y Universidades (BFU2017-85926-P). M.D.S. acknowledges support from the ORION project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement (grant agreement 741527). D.J. acknowledges Agence Nationale de la Recherche (ANR-18-CE12-0006-03, ANR-18-CE45-0022-01) for funding. CRG acknowledges support from ‘Centro de Excelencia Severo Ochoa 2013-2017’, SEV-2012-0208 and the CERCA Programme/Generalitat de Catalunya as well as support of the Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III and the EMBL partnership, the Generalitat de Catalunya through Departament de Salut and Departament d’Empresa i Coneixement, and the Co-financing with funds from the European Regional Development Fund (ERDF) by the Spanish Ministery of Science and Innovation coresponding to the Programa Opertaivo FEDER Plurirregional de España (POPE) 2014-2020 and by the Secretaria d'Universitats i Recerca, Departament d'Empresa i Coneixement of the Generalitat de Catalunya corresponding to the programa Operatiu FEDER Catalunya 2014-2020. Open Access fees paid from COST Action INC (CA18127), supported by COST (European Cooperation in Science and Technology)
- dc.format.mimetype application/pdf
- dc.identifier.citation Di Stefano M, Paulsen J, Jost D, Marti-Renom M.4D nucleome modeling. Curr Opin Genet Dev. 2021;67:25-32. DOI: 10.1016/j.gde.2020.10.004
- dc.identifier.doi http://dx.doi.org/10.1016/j.gde.2020.10.004
- dc.identifier.issn 0959-437X
- dc.identifier.uri http://hdl.handle.net/10230/46058
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Current Opinion in Genetics & Development. 2021;67:25-32
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/609989
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/676556
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/741527
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/BFU2017-85926-P
- dc.rights © 2020 Marco Di Stefano et al. Published by Elsevier Ltd. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.other Cromosomes
- dc.subject.other Genomes
- dc.subject.other ADN -- Anàlisi
- dc.title 4D nucleome modeling
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion