News

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

Whether you’re researching a neoantigen, or looking to identify new therapeutic candidates, there’s a new NCI-funded tool, called “pVACview,” that may be able to help.

NCI-funded researchers are testing a new platform that blends statistical and deep learning models, giving you a fuller picture of the variants driving cancer progression.

Read this recently released collection of 13 studies to learn more about NCI’s Human Tumor Atlas Network (HTAN). You’ll gain insights into tumor development, progression, and treatment responses through advanced research methodologies and 3D tumor atlases.

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 bioinformatics? Tap into these two newly published articles to see what some prominent researchers are saying about the field and where it’s headed.

Tune in to hear how this small team of innovators is working to democratize data science education, break down barriers, and address health inequities in cancer.

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.

Discover how you can use it to access and visualize genomic data, making it easier for you to analyze and interpret complex omics data.