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dc.contributor.authorGao J.en_US
dc.contributor.authorAksoy, B. A.en_US
dc.contributor.authorDogrusoz, U.en_US
dc.contributor.authorDresdner, G.en_US
dc.contributor.authorGross, B.en_US
dc.contributor.authorSumer, S. O.en_US
dc.contributor.authorSun, Y.en_US
dc.contributor.authorJacobsen, A.en_US
dc.contributor.authorSinha, R.en_US
dc.contributor.authorLarsson, E.en_US
dc.contributor.authorCerami, E.en_US
dc.contributor.authorSander, C.en_US
dc.contributor.authorSchultz, N.en_US
dc.date.accessioned2016-02-08T09:39:44Z
dc.date.available2016-02-08T09:39:44Z
dc.date.issued2013en_US
dc.identifier.issn1945-0877
dc.identifier.urihttp://hdl.handle.net/11693/21019
dc.description.abstractThe cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics. © 2013 American Association for the Advancement of Science.en_US
dc.language.isoEnglishen_US
dc.source.titleScience Signalingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1126/scisignal.2004088en_US
dc.subjectBRCA1 proteinen_US
dc.subjectBRCA2 proteinen_US
dc.subjectCetuximaben_US
dc.subjectEpidermal growth factor receptor 2en_US
dc.subjectErlotiniben_US
dc.subjectGefitiniben_US
dc.subjectMicroRNAen_US
dc.subjectTrastuzumaben_US
dc.subjectBioinformaticsen_US
dc.subjectCancer geneticsen_US
dc.subjectCancer survivalen_US
dc.subjectColorectal canceren_US
dc.subjectCopy number variationen_US
dc.subjectDisease free survivalen_US
dc.subjectDNA methylationen_US
dc.subjectGene expressionen_US
dc.subjectInformation processingen_US
dc.subjectInterneten_US
dc.subjectMedical information systemen_US
dc.subjectMutationen_US
dc.subjectOverall survivalen_US
dc.subjectPriority journalen_US
dc.subjectProteomicsen_US
dc.subjectRectum carcinomaen_US
dc.subjectComputer programen_US
dc.subjectGenetic predispositionen_US
dc.subjectGeneticsen_US
dc.subjectHumanen_US
dc.subjectInformation retrievalen_US
dc.subjectMethodologyen_US
dc.subjectNeoplasmen_US
dc.subjectPathologyen_US
dc.subjectReproducibilityen_US
dc.subjectGene expression profilingen_US
dc.subjectGene regulatory networksen_US
dc.subjectGenetic predisposition to diseaseen_US
dc.subjectGenomicsen_US
dc.subjectInformation storage and retrievalen_US
dc.subjectReproducibility of resultsen_US
dc.subjectSoftwareen_US
dc.titleIntegrative analysis of complex cancer genomics and clinical profiles using the cBioPortalen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage1en_US
dc.citation.epage20en_US
dc.citation.volumeNumber6en_US
dc.citation.issueNumber269en_US
dc.identifier.doi10.1126/scisignal.2004088en_US
dc.publisherAmerican Association for the Advancement of Science (A A A S)en_US
dc.identifier.eissn1937-9145


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