cBioPortal Newsletter January 2026

8 views
Skip to first unread message

Tali Mazor

unread,
Jan 27, 2026, 11:25:01 AMJan 27
to cbiopor...@googlegroups.com

                               

        January 2026


Welcome to the January 2026 edition of the cBioPortal Newsletter!


We are excited to kick off another year of progress for the cBioPortal for Cancer Genomics. Enjoy some highlights from 2025 here, and read on for more updates.



cBioPortal User Survey

We are running a user survey, and want to hear from you! Let us know what you appreciate about cBioPortal and what new features or data you would like to see. Your input will help guide future development.

Share your input here.




Performance Improvement: cBioPortal Now Backed by ClickHouse


We are excited to announce a major milestone in our ongoing performance improvement initiative. All parts of cBioPortal now run on our new ClickHouse database, with significantly faster website load times. We are now working on related data ingestion improvements to make the new ClickHouse functionality easier to deploy for local installations.




Enhanced Feature to Select Studies Based on Data Availability:


The Data type filter on the home page now includes options to filter studies by imaging data.





Data Improvement:


The default transcripts for each gene were updated to align better with OncoKB, prioritizing clinically relevant and MANE transcripts (Morales et al. 2022). In addition, Ensembl subversions are now included for each transcript.




Feature Highlight: Custom Data Charts in Study View


The Custom Data tab in Study View allows users to integrate their own sample- or patient-level annotations directly into cBioPortal, without modifying the dataset or using the API. This feature is ideal for exploratory analyses when you want to overlay custom data onto existing genomic and clinical data.


You can input data inline by selecting sample or patient ID and Categorical or Numerical input type and paste your annotations in the provided format (e.g., study_id:sample_id value), then click ‘Add Chart’ to generate the visualization.



These charts function similarly to any other chart in Study View: Use them to filter to a subset of samples or observe them update when other charts are used for filtering. They can also be used as the basis for group comparisons.





Learn More


To learn more about cBioPortal, review our documentation, which includes FAQs, webinars, and tutorials. If you have questions, please do not hesitate to reach out to us at cbiop...@googlegroups.com.


Stay tuned for more updates, and thank you for your continued support in advancing cancer genomics research with cBioPortal.


 https://www.cbioportal.org/

   





Reply all
Reply to author
Forward
0 new messages