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

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.
Advisor
Instructor
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
Journal Title
Journal ISSN
Volume Title
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.

Course
Other identifiers
Book Title
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
Citation
Published Version (Please cite this version)