News

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

Learn more about this NCI-funded tool that enables researchers like you to explore protein-centric, cancer omics data.

An NCI study reveals a connection between physical activity levels and cancer risk based upon data collected by researchers from wrist-worn sensors. Such devices are one of many examples of how big data science technologies can significantly drive the progress of cancer research.

A new spatial transcriptomics tool, called Spotiphy, can help you visualize gene distribution patterns across entire tissue sections, giving you a more complete picture of the tumor and its microenvironment.

Do you work with fusion oncoproteins? Explore a new protein language model (pLM) that NCI-funded researchers trained on fusion oncoproteins to advance discoveries in fusion-driven cancers!

Looking for a good web application for downstream analysis and visualization of FragPipe-processed proteomic data sets? Try this one!

An NCI-funded study shows that KBP models can automate radiation therapy, thereby producing high-quality plans to improve cancer treatment efficiency and reduce human workload.

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.