News

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

The Metadata Automation DREAM Challenge has closed! Learn more about the winners and how they plan to collaborate together to improve their algorithms and brainstorm future approaches to automating metadata annotation.

The NCI Cancer Research Data Commons’ Genomic Data Commons (GDC) has released a new set of data from NCI programs and partners including the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the Human Cancer Models Initiative (HCMI).

CBIIT Director Dr. Tony Kerlavage participated in the National Cancer Policy Forum's workshop "Applying Big Data to Address the Social Determinants of Health in Oncology." The proceedings, which were recently published, illustrate how Dr. Kerlavage and other leading experts are working to identify novel ways to collect, curate, analyze, and use social determinants of health (SDOH) data to address health disparities related to cancer research and outcomes.

The NCI Proteomic Data Commons (PDC) has new data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the International Cancer Proteogenome Consortium (ICPC) - Taiwan Lung Adenocarcinoma (LUAD) studies. This release contains open-access proteomic data for 213 lung cancer cases.

The National Cancer Institute (NCI) and the Veterans Health Administration (VHA) are recruiting postdoctoral fellows for the Big Data Scientist Training Enhancement Program (BD-STEP) to broaden our capacity to apply data-driven findings to cancer research through the support of healthcare-focused data science training.

The NCI Cancer Research Data Commons (CRDC) launched a new website, datacommons.cancer.gov, for data scientists, informaticists, and researchers to explore, learn, and engage with the CRDC and its resources.

To improve understanding of the risk and protective factors in the Veteran population, the VHA Innovation Ecosystem is utilizing the precisionFDA platform to call upon the public to develop machine learning and artificial intelligence models to predict health outcomes using synthetic Veteran health records.

On May 1, 2020, the Food and Drug Administration's (FDA's) precisionFDA launched "Truth Challenge V2: Calling Variants from Short and Long Reads in Difficult-to-Map Regions." Participants may join this challenge to assess variant-calling pipeline performance on a common frame of reference consisting of difficult-to-map regions, segmental duplications, and the Major Histocompatibility Complex (MHC). The submission period is open until June 15, 2020.

Frederick National Laboratory for Cancer Research (FNLCR) awarded a contract to develop the National Cancer Institute's (NCI's) Cancer Data Aggregator (CDA) to a consortium led by the Broad Institute, Institute for Systems Biology, Seven Bridges Genomics, and General Dynamics Information Technology (GDIT), Inc. The CDA is a query engine that will help researchers to find, sort, and pull together data from across the NCI Cancer Research Data Commons (CRDC), NCI Data Coordinating Centers (DCC), and other repositories.

NCI's Cancer Research Data Commons (CRDC) has new data from the HIV+ Tumor Molecular Characterization Project (HTMCP).