Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal

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Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.pdf (4.62 MB)

Date

2013

Authors

Gao J.
Aksoy, B. A.
Dogrusoz, U.
Dresdner, G.
Gross, B.
Sumer, S. O.
Sun, Y.
Jacobsen, A.
Sinha, R.
Larsson, E.

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Source Title

Science Signaling

Print ISSN

1945-0877

Electronic ISSN

1937-9145

Publisher

American Association for the Advancement of Science (A A A S)

Volume

6

Issue

269

Pages

1 - 20

Language

English

Type

Article

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Volume Title

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Abstract

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. © 2013 American Association for the Advancement of Science.

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Keywords

BRCA1 protein, BRCA2 protein, Cetuximab, Epidermal growth factor receptor 2, Erlotinib, Gefitinib, MicroRNA, Trastuzumab, Bioinformatics, Cancer genetics, Cancer survival, Colorectal cancer, Copy number variation, Disease free survival, DNA methylation, Gene expression, Information processing, Internet, Medical information system, Mutation, Overall survival, Priority journal, Proteomics, Rectum carcinoma, Computer program, Genetic predisposition, Genetics, Human, Information retrieval, Methodology, Neoplasm, Pathology, Reproducibility, Gene expression profiling, Gene regulatory networks, Genetic predisposition to disease, Genomics, Information storage and retrieval, Reproducibility of results, Software

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Permalink

http://hdl.handle.net/11693/21019

Published Version (Please cite this version)

http://dx.doi.org/10.1126/scisignal.2004088

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Scholarly Publications - Computer Engineering