Ten simple rules for a successful international consortium in big data omics

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dc.contributor.authorStobbe, Miranda D.
dc.contributor.authorGonzález-Pérez, Abel
dc.contributor.authorLópez Bigas, Núria
dc.contributor.authorGut, Ivo Glynne
dc.date.accessioned2023-01-19T06:56:39Z
dc.date.available2023-01-19T06:56:39Z
dc.date.issued2022
dc.description.sponsorshipWe acknowledge the support of the Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III, the Centro de Excelencia Severo Ochoa (CEX2020-001049-S, MCIN/AEI/10.13039/501100011033), and the co-funding with funds from the European Regional Development Fund corresponding to the Programa Operativo FEDER Plurirregional de España (POPE) 2014-2020 and MINECO/FEDER BIO2015-71792-P -awarded to IGG-. We thank the Departament de Salut and Departament de Recerca i Universitats of the Generalitat de Catalunya for its support through the CERCA programme and the co-funding with funds from the European Regional Development Fund corresponding to the Programa Operatiu FEDER de Catalunya 2014-2020. This project has received funding from the European Union's Horizon 2020 research and innovation programme through the EUCANCan project under grant agreement No 825835. The Institute for Research in Biomedicine Barcelona is a recipient of a Severo Ochoa Centre of Excellence Award (SEV-2015-0500) from the Spanish Ministry of Economy and Competitiveness and is supported by Centres de Recerca de Catalunya (Generalitat de Catalunya). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.format.mimetypeapplication/pdf
dc.identifier.citationStobbe MD, Gonzalez-Perez A, Lopez-Bigas N, Gut IG. Ten simple rules for a successful international consortium in big data omics. PLoS Comput Biol. 2022 Oct 20;18(10):e1010546. DOI: 10.1371/journal.pcbi.1010546
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pcbi.1010546
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/10230/55336
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.ispartofPLoS Comput Biol. 2022 Oct 20;18(10):e1010546
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/825835
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/BIO2015-71792-P
dc.rights© 2022 Stobbe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordConsortia
dc.subject.keywordCancer genomics
dc.subject.keywordResearch funding
dc.subject.keywordScientists
dc.subject.keywordBreast cancer
dc.subject.keywordComputer software
dc.subject.keywordHuman genomics
dc.subject.keywordSoftware tools
dc.titleTen simple rules for a successful international consortium in big data omics
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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