What is cBioPortal?
The
cBioPortal for Cancer Genomics is an open-access, open-source platform designed to provide visualization, analysis, and download of large-scale cancer genomics data sets. It is developed and maintained by the Computational Biology Center at Memorial Sloan Kettering Cancer Center and other contributing institutions.
What Types of Data Are Available in cBioPortal?
cBioPortal hosts data from numerous cancer studies, including those from The Cancer Genome Atlas (
TCGA), International Cancer Genome Consortium (
ICGC), and individual research institutions. The data encompasses a wide range of cancer types, facilitating comparative studies and meta-analyses.
Data Visualization: cBioPortal offers intuitive visualizations, such as
OncoPrints, plots, and survival analyses, making complex data more accessible.
Query Interface: Users can query specific genes, cases, or studies to obtain detailed information about genetic alterations and their frequency.
Analysis Tools: The platform includes various tools for data analysis, including mutual exclusivity analysis and enrichment analysis.
Downloadable Data: Researchers can download data for offline analysis, fostering further research and collaboration.
How to Access cBioPortal?
cBioPortal is accessible online through its
web portal. Users can freely explore public data sets, while institutions can host private instances for their data, ensuring data security and compliance with privacy regulations.
What Are the Future Directions for cBioPortal?
Future developments for cBioPortal include expanding the database with more diverse cancer types, integrating additional data types such as
proteomics and single-cell sequencing, and enhancing analytical capabilities. Continuous updates and community contributions will ensure that cBioPortal remains a vital resource for the cancer research community.
Conclusion
The cBioPortal for Cancer Genomics is a pivotal tool in the field of cancer research, offering extensive data and powerful analytical tools. It bridges the gap between genomic data and clinical applications, fostering advancements in understanding cancer biology and improving patient care.