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Communicating genome architecture: biovisualization of the genome, from data analysis and hypothesis generation to communication and learning

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dc.contributor.author Goodstadt, Mike N.
dc.contributor.author Martí Renom, Marc A.
dc.date.accessioned 2019-09-20T10:53:36Z
dc.date.issued 2019
dc.identifier.citation Goodstadt MN, Marti-Renom MA. Communicating genome architecture: biovisualization of the genome, from data analysis and hypothesis generation to communication and learning. J Mol Biol. 2019;431(6):1071-87. DOI: 10.1016/j.jmb.2018.11.008
dc.identifier.issn 0022-2836
dc.identifier.uri http://hdl.handle.net/10230/42308
dc.description.abstract Genome discoveries at the core of biology are made by visual description and exploration of the cell, from microscopic sketches and biochemical mapping to computational analysis and spatial modeling. We outline the experimental and visualization techniques that have been developed recently which capture the three-dimensional interactions regulating how genes are expressed. We detail the challenges faced in integration of the data to portray the components and organization and their dynamic landscape. The goal is more than a single data-driven representation as interactive visualization for de novo research is paramount to decipher insights on genome organization in space.
dc.description.sponsorship We received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC Synergy under grant agreement no 609989 (4Dgenome) as well as under the European Union's Horizon 2020 research and innovation program (grant agreement 676556). We also acknowledge the co-financing by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program, the support of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership (BFU2017-85926-P) and through the Instituto de Salud Carlos III, the Centro de Excelencia Severo Ochoa (SEV-2012-0208), the CERCA Programme / Generalitat de Catalunya, and the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement. This work reflects only the authors' views and the funding bodies are not liable for any use that may be made of the information contained therein.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Journal of Molecular Biology. 2019;431(6):1071-87
dc.rights © Elsevier http://dx.doi.org/10.1016/j.jmb.2018.11.008
dc.title Communicating genome architecture: biovisualization of the genome, from data analysis and hypothesis generation to communication and learning
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.jmb.2018.11.008
dc.subject.keyword Genome architecture
dc.subject.keyword Molecular visualization
dc.subject.keyword 3D modeling
dc.subject.keyword Multiscale genomics
dc.subject.keyword 4D Nucleome
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/ES/2PE/BFU2017-85926-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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