Computational Cancer Community (C3)

The Computational Cancer Community (C3) was created to provide a forum for labs focused on cancer genomics and computational cancer biology and oncology to share their work and to get feedback and input. 

Upcoming Events

More about the C3

The C3 community is a group of faculty, labs, and trainees that broadly fits within computational cancer research such as cancer genomics, computational cancer biology, and cancer data science. Learn more in this Q&A with Franklin Huang, MD, PhD:

New Computational Cancer Community (C3) Provides Forum for Feedback, Collaborations

Computational Cancer Boot Camp

The Computational Cancer Community (C3) is offering a one week Computational Cancer Boot Camp.

The purpose of the Boot Camp is to introduce trainees to ideas in computational cancer including, bioinformatics, computational biology and statistics. Hands-on components will utilize the R language. After attending the Boot Camp participants should be able to better advance their own computational cancer problems and should be able to better interpret the computational cancer approaches of others.

  • Schedule: October 31 - November 4, 2022 | 9am - 4pm | breakfast & lunch included
  • Location: UCSF Mission Bay Campus -- in person only
  • Eligibility: Targeted towards postdocs and clinical fellows in cancer, but anyone associated with UCSF may apply
  • Registration: APPLY HERE by Sept 15 | Acceptances given by Oct 1  
More about the Boot Camp

The C3 Boot Camp is targeted towards postdoctoral scholars and clinical fellows in cancer, but anyone associated with UCSF is eligible to apply. Mornings will include lectures from experts in the field covering the topics below, while afternoons will be focused on a week-long hands-on project.

  • Transcriptomics including bulk and single cell RNA-seq technology and analytic techniques
  • Genomics including GWAS, whole genome sequencing, whole exome sequencing, and cancer panel studies
  • Proteomics technologies, resources and network analysis
  • Statistics and analytic methods including batch effects adjustment, dimension reduction and clustering, and enrichment and pathway analysis
  • State of the art talks from UCSF researchers

The Computational Cancer Boot Camp is free of charge to participants due to the generous sponsorship of the Helen Diller Family Comprehensive Cancer Center and the Bakar Computational Health Sciences Institute.


  • Adam Olshen, PhD
  • Alex Pico, PhD
  • Franklin Huang, MD PhD
  • Karla Lindquist, PhD
  • Scooter Morris, PhD