News

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

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.

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.

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

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.

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

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

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

Discover how researchers are using NIH/NCI genomics and proteomics data to gain insight into chemotherapy resistance in triple negative breast cancer.

An extensive data collection on Juvenile Myelomonocytic Leukemia is now available. The data were made available thanks to funding from the Cancer Childhood Data Initiative, offering researchers greater insight into the genetic, epigenetic, and biochemical basis of this Ras-driven leukemia.

Genomic studies of childhood and rare cancers got a major boost, as a new optimized workflow for managing these data was recently reported in Nature Communications. And, thanks to funding by NCI’s Childhood Cancer Data Initiative, it’s easier and faster to share those data with the cancer research community.