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dc.contributor.authorMorrell, W.C.
dc.contributor.authorBirkel, G.W.
dc.contributor.authorForrer, M.
dc.contributor.authorLopez, T.
dc.contributor.authorBackman, T.W.H.
dc.contributor.authorDussault, M.
dc.contributor.authorPetzold, C.J.
dc.contributor.authorBaidoo, E.E.K.
dc.contributor.authorCostello, Z.
dc.contributor.authorAndo, D.
dc.contributor.authorAlonso-Gutierrez, J.
dc.contributor.authorGeorge, K.W.
dc.contributor.authorMukhopadhyay, A.
dc.contributor.authorVaino, I.
dc.contributor.authorKeasling, J.D.
dc.contributor.authorAdams, P.D.
dc.contributor.authorHillson, N.J.
dc.contributor.authorGarcia-Martin, H.
dc.date.accessioned2017-10-01T13:23:52Z
dc.date.available2017-10-01T13:23:52Z
dc.date.issued2017-09-30
dc.identifier.issn2161-5063
dc.identifier.urihttp://hdl.handle.net/20.500.11824/736
dc.description.abstractAlthough recent advances in synthetic biology allow us to produce biological designs more efficiently than ever, our ability to predict the end result of these designs is still nascent. Predictive models require large amounts of high-quality data to be parametrized and tested, which are not generally available. Here, we present the Experiment Data Depot (EDD), an online tool designed as a repository of experimental data and metadata. EDD provides a convenient way to upload a variety of data types, visualize these data, and export them in a standardized fashion for use with predictive algorithms. In this paper, we describe EDD and showcase its utility for three different use cases: storage of characterized synthetic biology parts, leveraging proteomics data to improve biofuel yield, and the use of extracellular metabolite concentrations to predict intracellular metabolic fluxes.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subject-omics dataen_US
dc.subjectdata miningen_US
dc.subjectdata standardsen_US
dc.subjectdatabaseen_US
dc.subjectflux analysisen_US
dc.subjectsynthetic biologyen_US
dc.titleThe Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and Visualizationen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1021/acssynbio.7b00204
dc.relation.publisherversionhttp://pubs.acs.org/doi/abs/10.1021/acssynbio.7b00204en_US
dc.relation.projectIDES/1PE/SEV-2013-0323en_US
dc.relation.projectIDEUS/BERC/BERC.2014-2017en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleACS Synthetic Biologyen_US


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Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España