News

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

Deciphering bulk data is challenging. See how a recent DREAM challenge is helping researchers benchmark bioinformatics and data science approaches for unraveling bulk genetic cancer data.

Are you investigating structural variations underlying cancer-causing genes? NCI-funded researchers are testing a new algorithm that could help you track down both coding and non-coding cancer-causing genes.

Want to learn more about the noncoding regions of DNA that impact cancer and its resistance to treatment? A new NCI-funded computational tool called “MethNet” may help.

Looking for a new tool to help you better understand the genes that drive cancer? See how this NCI-funded tool called “HAPI” can help you spot structural changes linked to hijacked enhancers—bits of DNA that move from one location to another to boost overexpression of cancer-causing genes.

Apply for this NIH-supported opportunity to help advance the use of quantum computing to tackle real-world biomedical research problems, including cancer research.

Telomeres have confounded researchers for decades, making it difficult to understand their full impact on diseases like cancer. See how this new digital telomere measurement tool is helping researchers gain insight into these elusive structures.

Looking for an easier way to sort and quantify key cellular information from immunofluorescent images? NCI-funded researchers have a new semi-automated tool, called “GammaGateR,” that may help.

Are you a tool developer who wants to apply your skills to support cancer research? Register for this challenge by Monday, November 25, and you’ll be on your way to developing an analysis tool for integrating with NCI’s Genomic Data Commons.

If you’re working with NIH genomic data, you’ll need to be aware of some new security requirements for data management and access that take effect on January 25, 2025. Learn more about how this could impact your work.

With the help of machine learning, NCI-funded researchers were able to boost the prognostic power of a common blood test for liver cancer.