Main Content

Date: Saturday, November 23, 2024
Time: 5:07 AM - 5:07 AM EST
Location: Web Conference (See WebEx information below)
Speakers:
Dr. Bill Wysocki, Director of User Services, University of Chicago (UChicago)

GDC 2.0 adopts a "cohort-centric" approach, allowing users to construct custom sets of cases and conduct gene- and variant-level data analysis directly within their web browser. This webinar will demonstrate the new cohort-centric workflow, from cohort building to analyzing genes and mutations associated with a cohort. Additionally, participants may ask GDC experts questions and provide feedback on GDC 2.0.


Intended Audience

This webinar targets researchers interested in exploring genomic mutation analysis capabilities within the recently introduced NCI Genomic Data Commons (GDC) 2.0 platform. It aims to accommodate individuals interested in analyzing genes and mutations within a cancer disease type, irrespective of their prior genomics experience.

Abstract

GDC 2.0 adopts a "cohort-centric" approach, allowing users to construct custom sets of cases and conduct gene- and variant-level data analysis directly within their web browser. This webinar will demonstrate the new cohort-centric workflow, from cohort building to analyzing genes and mutations associated with a cohort. Additionally, participants may ask GDC experts questions and provide feedback on GDC 2.0.

For additional details, please see the Genomic Mutations Analysis in GDC 2.0 Webinar Presentation.

 

Included Topics
  • Utilizing the Cohort Builder to create custom cohorts for specific cancer disease types
  • Employing the Mutation Frequency Tool to visualize the most frequently mutated genes within a cohort
  • Using OncoMatrix to analyze the top mutated genes affected by high-impact mutations in a cohort
  • Using ProteinPaint to explore mutations and their potential impact within protein coding regions of genes
Webex Information

Genomic Mutations Analysis in GDC 2.0

  • Monday, April 22, 2024
  • 2:00 pm    |    Eastern Standard Time (New York, GMT-04:00)    |    30 min
  • Meeting number (access code): 2306 971 7385
  • Meeting password: TGwpjPf@283 (84975731 from phones and video systems)

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