This webinar will provide an overview of the DTT, demonstrate file download, and review the use of the DTT for data submission.

This webinar will explain how a network exploration tool is used to find novel gene interactions based on proteomics studies.

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.

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).

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.

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.

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 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.

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.

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).