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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.

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Register for the NCI Genomic Data Commons Analysis Tool Challenge

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.

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Updates to NIH’s Genomic Data Sharing Policy

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.

Illustrated liver shows points of light, connected by brightly colored lines. Signifies how researchers are using data and technology to better understand liver cancer.

Machine Learning Helps Boost Accuracy for Liver Cancer Screening

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

A DNA strand is seen radiating from a toolbox full of tools. Illustration shows how scientists have many tools for use in DNA analysis.

MuSiCal—A New NCI-Funded Tool for Analyzing Genetic Mutations

Want to identify existing gene mutations more accurately and discover new signatures more efficiently? There’s a new NCI-funded tool, the Mutational Signature Calculator, that can help improve your standard workflow.

3-D rendering of a DNA strand. A section of the two strands is highlighted to show how researchers are studying tiny variants in DNA to see how they impact gene expression and, potentially, cancer.

New Platform for Prioritizing Genetic Variants Underlying Cancer Risk

Are you having trouble prioritizing which genetic variants to study in your cancer research? There’s a new platform, called FORGEdb, that can help you pinpoint promising variants and target genes.

A stethoscope and a strand of DNA blended together denotes a new tool that allows researchers to more easily integrate clinical and genetic data.

cBioPortal Updates Offer Joint Analysis of Genetic and Clinical Data

Interested in blending clinical and genetic data? Upgrades in cBioPortal can help you work with these very different data types to better understand cancer and how it progresses over time.

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Get Your Data Science Research Funded Through NCI DCCPS

Do you conduct research on statistical and analytical methods, cancer survivorship, digital health, and/or data science tools and methods? Apply for an R01 grant from NCI’s Division of Cancer Control and Population Sciences by June 5 or October 5, 2024.

A circle contains a syringe, a pill bottle, and a strand of DNA—illustrates how researchers are using genetics to find new and better ways of treating cancer.

Machine Learning Models Help Predict Medication Responses

What if you could predict how a chemotherapy drug would work—in terms of sensitivity and side-effects—before you ever use it? NCI-funded researchers are using machine learning models to better understand a key mechanism underlying cancer, giving us new ways to predict responses to common chemotherapy drugs.

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Create Educational Courses and Encourage the Use of Common Fund Data Sets

This Notice of Funding Opportunity will allow you to create and run a short course to educate early career researchers on using data sets available in NIH’s Common Fund.

A strand of DNA is featured, with two puzzle pieces fitting into place on each strand. Illustrates how researchers are fitting together all the pieces of what we know about genetics to get a more complete understanding of our DNA.

Epigenetics and Machine Learning Help Make Cancer Predictions

NCI-funded researchers are using a machine learning approach to predict cancer outcomes based on epigenetic data, which take into account both environmental and genetic influences.

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