News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Are you having trouble prioritizing which genetic variants to study in your cancer research? There’s a new platform, called FORGEdb, that can help you pinpoint promising variants and target genes.

Interested in blending clinical and genetic data? Upgrades in cBioPortal can help you work with these very different data types to better understand cancer and how it progresses over time.

This Notice of Funding Opportunity will allow you to create and run a short course to educate early career researchers on using data sets available in NIH’s Common Fund.

Discover new data collections available for you to use in your cancer research!

The Childhood Cancer Data Initiative (CCDI) awarded administrative supplements to eight NCI-Designated Cancer Centers, enabling research that leverages the CCDI Data Ecosystem to address scientific questions and create analytical tools for advancing childhood cancer research.

Explore a resource that lets you search for data challenges that address areas of unmet medical need!

Do you use CCDI-managed data? Check out the CCDI Hub Explore Dashboard, a tool that allows you to discover CCDI-managed data and connect with participants and available samples and files.

In a recent study, NCI’s Dr. Haoyu Zhang describes CT-SLEB—a powerful and computationally scalable method for generating more precise polygenic risk scores across a range of ancestral groups (including Latino, African American, East Asian, and South Asian).

We’re seeking a qualified biomedical informatics specialist to join our CBIIT Team. Apply today for this unique opportunity to use data-driven approaches for advancing cancer research.

PepQuery2 is a proteomics tool that enables rapid and targeted identification of both known and novel peptide sequences in proteomics data sets. The tool aims to provide valuable data sets for the broader research community by making public proteomics data more accessible and user-friendly.