NCI's Genomic Data Commons shape icon
March 30, 2020 02:00 p.m. - 03:00 p.m. ET

Dr. Bill Wysocki and Dr. Tara Lichtenberg

This webinar will review the NCI’s Genomic Data Commons (GDC) Data Model and GDC Data Dictionary and demonstrate how to perform faceted searches on properties through GDC data access tools.

SeqSPACE Forum. Sequencing Strategies for Population And Cancer Epidemiology Studies Webinar Series.
March 24, 2020 03:00 p.m. - 04:30 p.m. ET

As part of the "Sequencing Strategies for Population and Cancer Epidemiology Studies (SeqSPACE)" webinar series, panelists will present on methods of functional annotation of genetic variants. This webinar series is hosted by the Division of Cancer Control and Population Sciences’ (DCCPS’) Epidemiology and Genomics Research Program (EGRP).

Banner for the NCI OCCPR-hosted Cancer Imaging Analysis Webinar
March 18, 2020 01:00 p.m. - 01:30 p.m. ET

In this webinar, Technical Director Justin Kirby will demonstrate how to navigate The Cancer Imaging Archive (TCIA)/Clinical Proteomic Tumor Analysis Consortium (CPTAC) website, which has more than 1,500 radiology and histology cases that also can be linked to data in the Proteomic Data Commons.

Gabor Marth
March 11, 2020 11:00 a.m. - 12:00 p.m. ET
NCI Shady Grove, 9609 Medical Center Drive, Room 2W032/034 and via Webinar

Gabor Marth, D.Sc.

In this talk, Dr. Gabor Marth will present the Functional Precision Oncology Initiative, which combines model-based drug screening with multi-omic and subclonal analyses of the tumor to predict the extent of the response.

Guilherme Del Fiol, M.D., Ph.D., and Richard Bradshaw, Ph.D.
February 26, 2020 11:00 a.m. - 12:00 p.m. ET
NCI Shady Grove, 9609 Medical Center Drive, Room 2W032/034, and via Webinar

Guilherme Del Fiol, M.D., Ph.D., and Richard Bradshaw, Ph.D.

Drs. Del Fiol and Bradshaw will discuss OpenCDS, a clinical decision support platform, and show how it can be integrated with electronic health records (EHRs) to identify and manage patients who may benefit from genetic evaluation of their hereditary cancer risk.

The GDC provides user-friendly and interactive Data Analysis, Visualization, and Exploration Tools supporting gene and variant level analysis.
February 24, 2020 02:00 p.m. - 03:00 p.m. ET

Mr. Himanso Sahni, GDC Technical Lead, Leidos Biomedical Research, Inc.

Mr. Sahni will demonstrate how to use clinical variables to analyze data from the GDC. Using a variety of clinical results (in histograms, survival plots, box plots, and/or QC plots), he will show how to create a custom bin to support further analysis and visualization using GDC data.

Virtual Workshop on Data Metrics
February 19, 2020 09:00 a.m. - 03:30 p.m. ET

The goal of this workshop is to discuss core metrics, use cases, and best practices to better understand open data usage and impact. The workshop will focus on two types of data resources – repositories and knowledgebases – and will bring together managers of diverse biomedical data resources to discuss community-supported best practices for data metrics.

February 18, 2020 01:30 p.m. - 02:30 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.

Decorative image of a gene
February 13, 2020 12:00 p.m. - 01:00 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 at NIH
February 12, 2020 10:00 a.m. - 11:00 a.m. ET
NIH Main Campus, Building 10 FAES Terrace

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.