News

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

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.

Discover how SEER data and statistical models can help personalize oral cancer treatments.

Read the editorial review of a paper outlining the progress and future goals of the Childhood Cancer Data Initiative!

Explore these two articles, both published by members of the NCI and Department of Energy Collaboration!

NCI’s Surveillance, Epidemiology, and End Results (SEER) Program is marking 50 years of cancer surveillance research and launching three new initiatives that are likely to be of particular interest to the data science field. These efforts include a Virtual Tissue Repository, a Virtual Pooled Registry, and a partnership with the Department of Energy to develop application programming interfaces.

The PLCO Atlas allows investigators to browse and access germline genetic association data from the PLCO Screening Study via the Genome-Wide Association Study Explorer.

Planning your itinerary for this year’s American Association for Cancer Research (AACR) Annual Meeting? Want to make sure you catch the NCI-affiliated data science activities? We’ve put together a helpful reference page for you!

NIH wants to hear from you about the NIH Public Access Plan, which shows how to accelerate access to federally supported scientific data and research.

A new, NCI-funded, deep learning technology performed on par with radiologists in interpreting breast cancer images. This tool could help refine diagnosis to reduce the number of unnecessary biopsies.