News

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

Circular illustration shows the concept of a Genome Wide Association Study. The circle’s outlined by small blue, orange, green, and black stick figures representing a population. Within that circle is an orange and green string of DNA. At the center of the circle are the basic amino acids (ATGCA) and five black stick figures, illustrating the individual.

New Approach Helps Address Lack of Diversity in GWAS Cancer Data

In a recent study, NCI’s Dr. Haoyu Zhang describes CT-SLEB—a powerful and computationally scalable method for generating more precise polygenic risk scores across a range of ancestral groups (including Latino, African American, East Asian, and South Asian).

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Funding Opportunity for Using Data Science to Advance Genomics and Health Equity Research

If you’re using data science to do genomics research for preventing, detecting, and treating cancer across diverse populations, see if this NCI-supported funding opportunity is for you.

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New Tool Facilitates Data Sharing from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Screening Study

The PLCO Atlas allows investigators to browse and access germline genetic association data from the PLCO Screening Study via the Genome-Wide Association Study Explorer.

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Childhood Cancer Data Initiative’s Molecular Targets Platform Gets Upgrade

Researchers seeking potential targets for treating childhood cancers now have an even better tool for the job. Check out the latest enhancements to the NCI Childhood Cancer Data Initiative’s (CCDI’s) Molecular Targets Platform.

Stylized image shows a strand of DNA next to a drawing of a liver. Illustrates the idea that DNA may aid in detecting liver cancer.

DNA Fragmentome Data—A New Omics AI Technology for Detecting Cancer

NCI-funded researchers validated a genome-wide artificial intelligence technology that could help in early detection of hepatocellular carcinoma—the most common type of liver cancer.

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Childhood Cancer Data Initiative (CCDI) Adds New Pediatric Malignancy Data

CCDI additions include molecular characterization data from childhood cancer patients of racial and ethnic diversity.

3D imaging of human lung cancer. Red/yellow glow on right lung indicates focal point.

APOLLO Study Focuses on Data Methods to Predict Lung Cancer Prognosis and Treatment

Data analysis of the DNA, RNA, protein, and phosphoprotein in lung adenocarcinoma cells connected molecular features of tumors with patient survivability. This study allowed researchers to better predict prognosis and treatment in lung cancer patients.

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CCDI’s Molecular Characterization Initiative Releases First Data Set

Explore the newly released pediatric data set that includes information on DNA/RNA sequencing, methylation arrays, and deidentified clinical reports.

Childhood cancer patient trying to listen to the heartbeat of their teddy bear with a stethoscope.

See What’s New in the Childhood Cancer Data Catalog

The latest update to the Childhood Cancer Data Catalog includes website improvements and the addition of the database of Genotypes and Phenotypes (dbGaP).

Stylized graphic showing a DNA double helix

CLIM: A Data Science Approach to Identifying “Bystander” Genes in Cancer Precision Medicine

A new precision medicine platform combines machine learning with sophisticated analysis to help researchers mine chromosomal alterations linked to cancer.

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