In this webinar, participants will explore how social determinants of health (SDOH) data can be used to fight COVID-19 and support the recovery effort.

Dr. John Brownstein, professor of biomedical informatics at Harvard Medical School and chief innovation officer of Boston Children's Hospital, will deliver the 2020 National Library of Medicine (NLM)/Medical Library Association (MLA) Leiter Lecture, “Digital Epidemiology and the COVID-19 Pandemic.”

The National Institute of Nursing Research (NINR) will hold a 4-day virtual boot camp to explore the impact that artificial intelligence (AI) has in the evolving healthcare environment and overall efforts to improve the quality of care for patients and families. The goal is to explore basic AI principles and ways clinicians can team with data scientists to conduct research to address health-related issues.

In this webinar, the University of Chicago's Drs. Bill Wysocki and Zhenyu Zhang will provide an in-depth look at how RNA-Seq data are processed at the Genomic Data Commons (GDC) and made available to the research community.

In this webinar, CPTAC scientist Dr. Nesvizhskii will present and demonstrate MSFragger, an ultrafast database search tool for peptide identification in mass spectrometry-based proteomics.

In this webinar, the University of Chicago's Dr. Bill Wysocki will demonstrate GDC documentation and publication resources and show how users can access valuable information on GDC bioinformatics pipelines.

This session will provide information about CPTAC's comprehensive proteomic and matching genomic tumor characterization methodologies, data access procedures, informatics tools for proteogenomics analysis, and recent advances on mass spectrometry-based targeted assays.

The presentation gives an overview of the Proteomic Data Commons (PDC) and its available data sets, and describes how the PDC facilitates multi-omic data analyses.

The Seven Bridges team describe how new features of the Cancer Genomics Cloud (CGC) have been implemented to broaden the data and workflows accessible to cancer researchers, including integration with NCI's Cancer Research Data Commons (CRDC).

Using data sets from the Human Cell Atlas (HCA), combined with tools and computational resources available on the Cancer Genomics Cloud (CGC), the Seven Bridges team describe changes in transcriptome profiles of endothelial tumor cells over time. They demonstrate the importance of developing reproducible workflows that can run in multiple environments, and show how existing data can offer new insight into today’s complex biological questions.