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

With funding from NCI’s Childhood Cancer Data Initiative, researchers at Oregon Health & Science University’s Knight Cancer Institute have shared new data from pediatric, adolescent, and young adult patients with Acute Myeloid 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.

Two breast cancer imaging data collections have recently been released and made publicly available by The Cancer Imaging Archive. Together, these two collections comprise the first subgroup of publicly released imaging data from the I-SPY2 clinical trial.

NCI’s Childhood Cancer Data Initiative has launched an inventory of childhood cancer data sets, repositories, and resources for investigators and data scientists alike.

On April 15, 2022, NCI’s Surveillance Research Program released the latest Surveillance, Epidemiology, and End Results (SEER) data based on November 2021 data submissions. As a cancer researcher or data scientist, discover how you can access these cancer statistics and data for your research and analysis.

Help the FDA’s National Center for Toxicological Research and the precisionFDA optimize data processing pipelines for identifying indels (i.e., insertions/deletions in a genome) in oncopanel sequencing datasets by participating in a sequencing data challenge. Pre-register for the “Indel Calling from Oncopanel Sequencing Data Challenge” before May 2, 2022! Selected participants will be publicly recognized and invited to contribute to a scientific manuscript and a “Top Performer Webinar” that will be open to the public.

Looking for canine urothelial carcinoma data? RNA sequencing and clinical data from a phase I/II trial, listed in the EACR’s top 10 publications, is available for analysis through NCI’s Integrated Canine Data Commons.

NCI’s Office of Cancer Clinical Proteomics Research’s new blog highlights recent findings from scientists in the Clinical Proteomic Tumor Analysis Consortium. It describes a proof-of-concept approach to identifying fraudulent data in biological data sets.

NCI’s Center for Cancer Research invites applicants with image processing, machine learning, and deep learning experience to be considered for a federal image bioinformatics scientist position supporting the Artificial Intelligence Resource. The successful candidate will develop and implement automated imaging and data processing workflows to analyze large image data sets generated by confocal microscopes.

The NCI Cancer Research Data Commons has recently added 1,000 new clinical outcome data files for Clinical Proteomic Tumor Atlas Consortium (CPTAC) studies to NCI’s Genomic Data Commons and Proteomic Data Commons.