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

Mostra el registre complet Registre parcial de l'ítem

• 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.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.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.doi http://dx.doi.org/10.1016/j.jmb.2018.11.008
• dc.identifier.issn 0022-2836
• dc.identifier.uri http://hdl.handle.net/10230/42308
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Journal of Molecular Biology. 2019;431(6):1071-87
• 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 © Elsevier http://dx.doi.org/10.1016/j.jmb.2018.11.008
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• 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.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.type.version info:eu-repo/semantics/acceptedVersion