Presentation/Conference
EMERSE Logo
February 18, 2020 1:30 p.m. - 2:30 p.m. ET

David Hanauer, M.D., M.S.

Dr. Hanauer will demonstrate EMERSE, the Electronic Medical Record Search Engine, and its use in researching rare cancers. EMERSE excels at finding mentions of rare diseases, identifying cohorts, and abstracting phenotypic or other clinical details.

A deoxyribonucleic acid (DNA) double hilux floats between two molecular patterns. Both are displayed on a blue-colored grid.
February 13, 2020 12:00 p.m. - 1:00 p.m. ET

Kimberly Kaphingst, Sc.D. and Guilherme Del Fiol, M.D., Ph.D.

Drs. Kim Kaphingst and Guilherme Del Fiol will describe a clinical decision support platform for identifying and managing patients who meet guidelines for genetic evaluation based on family health history in the electronic health record (EHR). 

Tech Day @ NIH on green background
February 12, 2020 10:00 a.m. - 11:00 a.m. ET

Durga Addepalli, Ph.D.

Dr. Durga will present NCI Cloud Resources during a special session at NIH Tech Day. She will showcase how these cloud-based platforms store large datasets and analysis tools in the cloud and provide access to real-time analysis for cancer research and discovery.

NIH to Host Workshop on the role of generalist repositories to enhance data discoverability and reuse
February 11, 2020 - February 12, 2020

Hosted by the NIH Office of Data Science Strategy and the National Library of Medicine, this webinar intends to collect information from generalist and institutional data repositories and explore the adoption of common infrastructure, standards, and search solutions to enable greater discoverability of NIH research data across federated data repositories while addressing the role of data curators in ensuring data and metadata enhance discovery and enable reuse.

Foreground text reads, "OCCPR Webinar: Heatmap Visualization for Cancer Research." The background consists of multi-colored squares in a grid format.
February 06, 2020 2:00 p.m. - 3:00 p.m. ET

Anna Calinawan

This webinar will explain how to use a new data-and-interactive-visualization heatmap tool to visually query genes of interest and to explore gene and protein expression. Developed for NCI's Clinical Proteomic Tumor Analysis Consortium (CPTAC) program and demonstrated in a recent kidney cancer proteogenomics study, this tool is now available to the public.

Purple image with text reading Medadata Automation DREAM Challenge. To the right a magnifine glass, heart, gear.
January 30, 2020 12:00 p.m. - 1:00 p.m. ET

James Eddy, Ph.D., Eric Johnson Chavarria, Ph.D., Gilberto Fragoso, Ph.D., Thomas Schaffter, Ph.D., and Denise Warzel, Ph.D.

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.

January 27, 2020 2:00 p.m. - 3:00 p.m. ET

Dr. Bill Wysocki and Colin Reid

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.

Headshot of Ben Langmead
January 16, 2020 11:00 a.m. - 12:00 p.m. ET

Ben Langmead

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.”

Headshot of Jessica Chubak, Ph.D.
January 07, 2020 11:00 a.m. - 12:00 p.m. ET

Jessica Chubak, Ph.D.

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

Headshot of Carrie D. Wolinetz, Ph.D.
December 16, 2019 12:30 p.m. - 2:00 p.m. ET

Carrie D Wolinetz, Ph.D.

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.