The Metadata Automation DREAM Challenge invites participants to develop solutions to automate metadata annotation using a Model-to-Data Approach on structured data files provided on the challenge site. In this webinar, Drs. James Eddy and Thomas Schaffter will present an overview of the Challenge and lead a panel discussion on the requirements and logistics.

Dr. Pagel will present OpenCRAVAT, a new open source, scalable decision support system for studying gene variants and gene prioritization.

This webinar will guide users through the GDC submission process by demonstrating file uploads, review/quality checks, and requests for harmonization using GDC submission tools.

NCI’s Center for Cancer Research (CCR), through the Bioinformatics Training and Education Program (BTEP) Distinguished Speaker Series, will present “Marshaling Public Data for Lean and Powerful Splicing Studies.”

In this talk, Dr. Griffin and Dr. Jagtap will present short demonstrations of multi-omic tools and validated workflows and discuss application and access to these resources.

Dr. Chubak will describe methods for incorporating administrative and electronic health record data in epidemiologic and health services research.

In this talk, Dr. Warner will describe the rationale, data model, and initial contents of the HemOnc vocabulary along with several use cases for which it may be valuable.

Acting NIH Chief of Staff and Associate Director for Science Policy, Dr. Carrie Wolinetz will present an informational public webinar on the Draft NIH Policy for Data Management and Sharing and Supplemental Draft Guidance.

This webinar will provide a brief overview of NCI's Proteomic (CPTAC) Assay Portal, will show participants how to navigate the website, and will illustrate how to submit an assay.

Dr. Campbell and Dr. Johnson will present the Single Cell Toolkit (SCTK), an R package and interactive single cell RNA-sequencing (scRNA-Seq) analysis package that provides the first complete workflow for scRNA-Seq data analysis and visualization using a set of R functions and an interactive web interface.