February 27, 2011

• All data updated to the latest Firehose run (January 24).
• Validated mutation data for colorectal cancer.
• New feature: Mutation Diagrams that show mutations in the context of protein domains.

January 30, 2011

• Updated data for several TCGA cancer studies.
• Some small bug-fixes.

December 22, 2011

• Fourteen new TCGA cancer studies: This includes complete data for TCGA Colorectal Carcinoma and provisional data for thirteen other cancer types in the TCGA production pipeline. Please note that data from these thirteen new cancer types are provisional, not final and do not yet include mutation data. As per NCI guidelines, preliminary mutation data cannot be redistributed until they have been validated.
  

• Four new data types:
  • Reverse-phase protein array (RPPA) data.
  • microRNA expression and copy-number (including support for multiple loci)
  • RNA-Seq based expression data.
  • log2 copy-number data.
• Updated TCGA GBM copy-number, expression, and methylation data.
• New gene symbol validation service. You can now use gene aliases and/or Entrez Gene IDs within your gene sets.
• Links to IGV for visualization of DNA copy-number changes.
• Background information from the Sanger Cancer Gene Census.
• Two new Tutorials to get you quickly started in using the portal.
  
  

November 14, 2011

• New and improved mutation details, with sorting and filtering capabilities.
• In collaboration with Bilkent University, we have added a new Network tab to our results pages. The network tab enables users to visualize, analyze and filter cancer genomic data in the context of pathways and interaction networks derived from Pathway Commons.

September 3, 2011

• You can now query across different cancer studies (feature available directly from the home page).
• Our MATLAB CGDS Cancer Genomics Toolbox is now available. The toolbox enables you to download data from the cBio Portal, and import it directly into MATLAB.
• The code for the cBio Portal has now been fully open sourced, and made available at Google Code. If you would like to join our open source efforts and make the portal even better, drop us an email.

March 2, 2011

New plotting features and other improvements:

• Correlation plots that show the relationship between different data types for individual genes.
• Survival analysis - assess survival differences between altered and non-altered patient sets.
• Updated R Package with support for correlation plots and general improvements for retrieving and accessing data in R data frames.
• The Web Interface now supports basic clinical data, e.g. survival data.
• Networks for pathway analysis are now available for download.

December 15, 2010

Several new features, including:

• Redesigned and streamlined user interface, based on user feedback and usability testing.
• Advanced support for gene-specific alterations. For example, users can now view mutations within TP53, and ignore copy number alterations, or only view amplifications of EGFR, and ignore deletions.
• Improved performance.
• Frequently Asked Questions document released.
• Updated Video Tutorial.
  
  

November 4, 2010

• Enhanced Oncoprints, enabling users to quickly visualize genomic alterations across many cases. Oncoprints now also work in all major browsers, including Firefox, Chrome, Safari, and Internet Explorer.
• Official release of our Web Interface, enabling programmatic access to all data.
• Official release of our R Package, enabling programmatic access to all data from the R platform for statistical computing.