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

Researchers seeking potential targets for treating childhood cancers now have an even better tool for the job. Check out the latest enhancements to the NCI Childhood Cancer Data Initiative’s (CCDI’s) Molecular Targets Platform.

CCDI additions include molecular characterization data from childhood cancer patients of racial and ethnic diversity.

Explore the newly released pediatric data set that includes information on DNA/RNA sequencing, methylation arrays, and deidentified clinical reports.

The latest update to the Childhood Cancer Data Catalog includes website improvements and the addition of the database of Genotypes and Phenotypes (dbGaP).

Welcome to the Index of NCI Studies: a new web application designed to gather and display cancer research publications, data sets, clinical trials, and patents from NCI-funded programs. Explore the application (currently in a pilot phase) and leave feedback!

The latest update to the Childhood Cancer Data Catalog includes new and updated data, improved accessibility, as well as enhanced site search tools.

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

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.

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.

NCI’s Childhood Cancer Data Initiative has launched an inventory of childhood cancer data sets, repositories, and resources for investigators and data scientists alike.