News

Using this knowledgebase, researchers may search for associations between molecular drug targets, diseases, and drugs specific for childhood cancers.

NCI Enterprise Vocabulary Services published the latest updates to NCI Thesaurus, which includes data supporting osteosarcoma for the Pediatric Cancer Data Commons and a new value set containing COVID-19 vocabulary.

Do you work with imaging data and tools? Share feedback on NCI’s Imaging Data Commons!

As the necessity for and availability of large data sets in cancer applications grows, so do the challenges when conducting research and clinical applications with computational solutions. Share your experience with how to address such challenges.

With funding from NCI’s Childhood Cancer Data Initiative, researchers at Oregon Health & Science University’s Knight Cancer Institute have shared new data from pediatric, adolescent, and young adult patients with Acute Myeloid Leukemia.

Data scientists, informaticists, and medical physicists are invited to develop the best, most generalizable models, algorithms, and approaches for breast density estimation using image-based distributed or federated learning.

NIH has issued a request for public comments on draft supplemental information to the NIH Policy for Data Management and Sharing. Responses will be accepted through June 27, 2022.

Genomic studies of childhood and rare cancers got a major boost, as a new optimized workflow for managing these data was recently reported in Nature Communications. And, thanks to funding by NCI’s Childhood Cancer Data Initiative, it’s easier and faster to share those data with the cancer research community.

In this JAMA Oncology Viewpoint opinion article, Dr. Jill Barnholtz-Sloan, NCI’s associate director for Informatics and Data Science, discusses NCI’s large-scale data sharing and access efforts. She also stresses that as we continue to generate cancer data, free and open scientific data should be treated as a public good.

The Frederick National Laboratory for Cancer Research’s Laboratory of Human Retrovirology and Immunoinformatics has updated its bioinformatics resource system known as DAVID. The system provides investigators with a set of functional annotation tools to better understand the biological meaning behind large lists of genes.