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dc.creatorNam, Hojung
dc.creatorCampodonico, Miguel
dc.creatorBordbar, Aarash
dc.creatorHyduke, Daniel R.
dc.creatorKim, Sangwoo
dc.creatorZielinski, Daniel C.
dc.creatorPalsson, Bernhard O.
dc.creatorOfran, Yanay
dc.date.accessioned2016-12-12T20:50:41Z
dc.date.available2016-12-12T20:50:41Z
dc.date.issued2014
dc.identifier.issn1553-734X
dc.identifier.urihttp://hdl.handle.net/10533/147735
dc.language.isoeng
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relation.urihttps://doi.org/10.1371/journal.pcbi.1003837
dc.titleA Systems Approach to Predict Oncometabolites via Context-Specific Genome-Scale Metabolic Networks
dc.typeArticulo
dc.bibliographicCitation.stpage
dc.bibliographicCitation.endpage
dc.identifier.folioFB0001
dc.description.citasisi11
dc.description.conicytprogramPrograma de Investigación Asociativa (PIA)
dc.description.number
dc.description.poscdisciplinaBiochemical Research Methods
dc.description.quartilisiQ1
dc.description.volume10
dc.relation.projectidinfo:eu-repo/grantAgreement/PIA/FB0001
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.type.driverinfo:eu-repo/semantics/article
dc.description.shortconicytprogramPrograma de Investigación Asociativa (PIA)
dc.description.jcr2015
dc.type.openaireinfo:eu-repo/semantics/publishedVersion


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