HARNESSING THE POWER OF DATA IN CANCER RESEARCH

Data Commons

Access data from many sources across a virtual, expandable infrastructure

Data Sharing

Contribute to and access data across NCI and NIH repositories

Cancer Semantic Resources

Make your data interoperable and integrated using cancer data vocabulary resources

Joint Design of Advanced Computing Solutions for Cancer

Learn about emerging cancer research using exascale computing capabilities

Latest from CBIIT

Cancer Data Science Pulse Blog

At the start of the COVID-19 outbreak, NCI’s Frederick National Laboratory for Cancer Research, along with the Centers for Disease Control and Prevention and the National Institute of Allergy and Infectious Diseases, modified an existing tool used for managing NCI’s clinical trials to create a COVID-19 Seroprevalence Hub (SeroHub) to track COVID-19 seroprevalence across the United States. This blog looks at how SeroHub has evolved since the pandemic first began and shows how it could serve as a blueprint for monitoring future infectious disease outbreaks that threaten public health.

The Cancer Data Science Pulse Blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities.

Data Science Seminar Series

Dr. Obi L. Griffith will discuss CIViC, an open access, open source, community-driven web resource for clinical interpretation of variants in cancer. The goal of this resource is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.

The Data Science Seminar Series features talks from innovators in the data science and cancer research communities both within and outside of the National Cancer Institute (NCI).

@NCIDataSci

Featured News

New Open-Source Tool Developed by NCI Scientists Detects Signatures of T cell Resilience in Solid Tumors

Apply Now for a Biomedical Informatics Project Manager Position with CBIIT

NCI-DOE Workshops Focus on Computational Approaches for Predictive Radiation Oncology

Apply by May 27 to Be an NIH Data Scholar at NCI

credit: iStock