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

Tissue biopsy segmentation of a human lung. Blue and green shading shows different cell types and structures. Cell boundaries are outlined in white.

All-in-One Model Helps Identify, Classify, and Analyze Cancer Tumor Tissue

Interpreting tissue biopsies may be easier using this NCI-funded tool. It features an end-to-end approach for automatically analyzing cancer cells and tissues.

Light-colored immune cells surround and infiltrate brightly colored orange cancer cells. This denotes the concept of immunotherapy.

NCI-Funded Tool Helps to Advance Neoantigen Therapies

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.

Double stranded DNA forms a question mark. Denotes the study of genetics for better understanding how cancer develops and progresses.

NCI-Funded Researchers Test Platform to Help Reveal Non-Coding Genes Involved in Cancer

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.

A cancer cell is highlighted in orange against a blue background that consists of other cancer and immune cells. The orange cell is in crosshairs, indicating that it’s being targeted for destruction.

DREAM Challenge Benchmarks Approaches for Deciphering Bulk Genetic Cancer Data

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.

Spyglass hovers over a strand of double helix strand of DNA.

NCI-Funded Algorithm Helps Track Down Coding and Non-Coding Cancer-Causing Genes

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.

Gene sequence features brightly colored squares against a black background; shows genes in the human genome.

NCI-Funded Tool Helps Characterize Noncoding Elements that Impact Cancer 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.

Double helix DNA molecule is shown in three dimensions set against a background of blue and gold.

Analysis Tool Aids in Identifying Genes that Hijack Enhancers

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.

Two women in lab coats and gloves using a microscope.

NIH Quantum Computing: New Frontiers in Biomedical Research Innovation Lab

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

Chromosomes are shown in a three-dimensional illustration. Yellow caps on the tips of the chromosomes denote telomeres.

NCI-Funded Researchers Develop Tool for Deciphering Telomeres

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.

GammaGateR helps identify biomarkers in multiplexed immunofluorescence images. Image shows markers in red and blue within a single slide sample.

GammaGateR Helps Decipher Imaging Data

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.

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