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Want to use multi-omics data to examine different genetic pathways underlying cancer, but you lack the necessary coding experience? Meet MOPAW, a new point-and-click interface that can help you make the most of your genetic data.

NCI wants your input to help determine how compatible NCI’s Cancer Research Data Commons is with artificial intelligence applications. Explore this request for information to learn how to contribute!

The Advanced Research Projects Agency for Health (ARPA-H) announced a new program, Biomedical Data Fabric (BDF) Toolbox, on September 13th, following the White House’s announcement that described it as a program that will thread together research data across the country to help the scientific community find and share medical insights more easily, to break down data research silos, and deliver health solutions to people more quickly.“Our goal is to make biomedical research data easier for peo....

Researchers with NCI’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) have produced a resource of global proteome and post-translational modifications, whole genome and whole exome sequencing, miRNA and total RNA sequencing, DNA methylation, imaging, and clinical information for more than 1,000 cancer patients across 10 tumor types. A description of the effort to harmonize and disseminate this resource, as well as four subsequent studies that use it, were published in mid-August online b....

NCI’s Childhood Cancer Data Initiative (CCDI) is seeking input through a short online survey about the pediatric cancer research community’s interest in molecular characterization data needed to optimally treat patients, as well as its existing cohort and/or sample availability for new data generation. Developing research data is one of the foundational goals of the Childhood Cancer Data Initiative (CCDI), which aims to accelerate scientific discovery and improve patient ca....