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Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal

The 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.

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Classifications


Resource Type: Bibliography, Diagram, Illustration, Image, Laboratory manual, Table
Audience Level: Undergraduate upper division 15-16, Graduate, Professional (degree program)

Author and Copyright


Authors and Editors: Jianjiong Gao of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Bulent Arman Aksoy of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Ugur Dogrusoz of Computer Engineering Department, Bilkent University, Gideon Dresdner of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Benjamin Gross of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, S. Onur Sumer of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Yichao Sun of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Anders Jacobsen of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Rileen Sinha of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Erik Larsson of Department of Medical Biochemistry and Cell Biology, University of Gothenburg, Ethan Cerami of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Chris Sander of Computational Biology Center, Memorial Sloan-Kettering Cancer Center, Nikolaus Schultz of Computational Biology Center, Memorial Sloan-Kettering Cancer Center
Publisher: American Association for the Advancement of Science
Format: application/pdf, image/gif, image/jpeg, text/html
Copyright and other restrictions: Yes
Cost: Yes

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