Intended Audience
This webinar is designed for researchers interested in learning how to use the new GDC Correlation Plot Tool to uncover patterns in genomic variation data with clinical phenotypes. It is ideal for anyone interested in correlating simple somatic mutations, copy number variations (CNVs), gene expression, and clinical data for cancer research, regardless of their prior experience in genomics.
Abstract
The GDC released a new Correlation Plot Tool which provides a framework for correlating GDC molecular information (mutation, CNV, gene expression) with clinical and survival data. Using quick access features, researchers can compare mutation or CNV status of a gene with a clinical variable or survival, CNV and mutation for given genes, a gene's CNV with its expression, and gene expression level with survival. The tool assists in identifying statistically meaningful correlations between genomic variants and clinical phenotypes to uncover patterns that assist in enabling diagnostic and treatment discoveries. Join us for an overview and demonstration of the GDC Correlation Plot Tool, and associated data supporting correlative analysis.
Included Topics
- Introduction to GDC data supporting correlative analysis
- Overview and demonstration of the new GDC Correlation Plot Tool
- Live Q&A session to address user questions and gather feedback
Webex Information
Uncovering Patterns in Genomic Variation Data with Clinical Phenotypes Using the New GDC Correlation Plot Tool
- Wednesday, March 11, 2026
- 2:00 pm | Eastern Standard Time (New York, GMT-04:00) | 1 hr
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