2014 | Jianjiong Gao¹, Bülent Arman Aksoy¹, Ugur Dogrusoz², Gideon Dresdner¹, Benjamin Gross¹, S. Onur Sumer¹, Yichao Sun¹, Anders Jacobsen¹, Rileen Sinha¹, Erik Larsson³, Ethan Cerami¹,⁴, Chris Sander¹, and Nikolaus Schultz¹
The cBioPortal for Cancer Genomics is a web-based resource that allows researchers to explore, visualize, and analyze multidimensional cancer genomics data. It provides tools for interactive exploration of genetic alterations across samples, genes, and pathways, and links these to clinical outcomes. The portal offers graphical summaries of gene-level data, network visualization, survival analysis, patient-centric queries, and programmatic access. It simplifies complex cancer genomics profiles, making them accessible to researchers and clinicians without requiring bioinformatics expertise. The portal integrates various genomic data types, including somatic mutations, DNA copy-number alterations, mRNA and miRNA expression, DNA methylation, protein abundance, and phosphoprotein abundance. It contains data from over 30 published cancer studies, including the Cancer Cell Line Encyclopedia and more than 20 TCGA studies. The portal allows users to query individual cancer studies or across multiple studies, visualize genomic alterations, and perform survival analysis. It also provides tools for network analysis, correlation plots, and patient view pages that summarize and visualize all relevant data about a tumor, including clinical characteristics, mutations, and copy-number alterations. The portal supports programmatic access through REST-based web services and R and MATLAB packages. It is designed to complement existing tools and resources, such as genome browsers, and provides an intuitive web interface for exploratory analysis of cancer genomics data. The cBioPortal is under active development and will continue to add new features, including support for genomic methylation events, clinical attributes, and batch download of complete datasets.The cBioPortal for Cancer Genomics is a web-based resource that allows researchers to explore, visualize, and analyze multidimensional cancer genomics data. It provides tools for interactive exploration of genetic alterations across samples, genes, and pathways, and links these to clinical outcomes. The portal offers graphical summaries of gene-level data, network visualization, survival analysis, patient-centric queries, and programmatic access. It simplifies complex cancer genomics profiles, making them accessible to researchers and clinicians without requiring bioinformatics expertise. The portal integrates various genomic data types, including somatic mutations, DNA copy-number alterations, mRNA and miRNA expression, DNA methylation, protein abundance, and phosphoprotein abundance. It contains data from over 30 published cancer studies, including the Cancer Cell Line Encyclopedia and more than 20 TCGA studies. The portal allows users to query individual cancer studies or across multiple studies, visualize genomic alterations, and perform survival analysis. It also provides tools for network analysis, correlation plots, and patient view pages that summarize and visualize all relevant data about a tumor, including clinical characteristics, mutations, and copy-number alterations. The portal supports programmatic access through REST-based web services and R and MATLAB packages. It is designed to complement existing tools and resources, such as genome browsers, and provides an intuitive web interface for exploratory analysis of cancer genomics data. The cBioPortal is under active development and will continue to add new features, including support for genomic methylation events, clinical attributes, and batch download of complete datasets.