News

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

The Childhood Cancer Data Initiative invites researchers capable of performing molecular characterizations (e.g., whole exome sequencing, RNA sequencing) to submit a proposal to develop a childhood cancer molecular characterization protocol by April 12, 2021.

The Pediatric Genomic Data Inventory (PGDI) is now available on datascience.cancer.gov for data scientists and cancer researchers. This resource lists known ongoing and completed sequencing projects of pediatric cancer cohorts from the United States and other countries, along with some basic details and reference metadata.

Clinical Proteomic Tumor Analysis Consortium (CPTAC) researchers from the Nesvizhskii Lab at the University of Michigan have developed an extension of its MSFragger flagship software to identify N- and O-linked glycopeptides.

The Human Cancer Models Initiative’s (HCMI’s) Searchable Catalog now has new features that allow users to easily locate models and their case-associated data in the Genomic Data Commons.

NCI’s Office of Cancer Genomics’ data analysis and experimental observations tool—CTD² Dashboard—aims to make cancer-relevant results from the CTD² Network easier to use. Learn more about recent improvements to the Dashboard.

The NIH Office of Data Science Strategy is pleased to announce the Data and Technology Advancement National Service Scholar Program is now accepting applications for its 2021 cohort.

In a recent blog post, Center for Cancer Genomics Director, Dr. Louis Staudt, shares highlights from two journal articles describing NCI’s Genomic Data Commons (GDC). In seven years, the GDC has grown from a vision to a massive, interactive data system with genomic data processing pipelines for all types of researchers to use.

NCI is offering administrative supplements for the adaptation and repackaging of existing broad-based visualization methods that have the potential to make Cancer Moonshot-aligned data more explorable and interpretable by the broader cancer research community.

NCI seeks applications to develop Artificial Intelligence (AI)-based models using secondary data to help predict abdominal cancers. Applications are due June 5, 2021.

NCI is pleased to announce that, moving forward, ITCR funding opportunities will allow the use of URLs and hyperlinks in applications.