Cell. Volume 184, Issue 19: p. 5031-5052.e26, 16 Sep 2021
Proteogenomic Characterization of Endometrial Carcinoma Cell
Cell. Volume 180, Issue 4: p. 729-748.e26, 20 Feb 2020
10.1016/j.cell.2020.01.026
Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma
Cell. Volume 182, Issue 1: p. 200-225.e35, 9 Jul 2020
10.1016/j.cell.2020.06.013
Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy
Cell. Volume 183, Issue 5: p. 1436-1456.e31, 25 Nov 2019
10.1016/j.cell.2020.10.036
Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities
Cell. Volume 177, Issue 4: p. 1035-1049.e19, 2 May 2019
10.1016/j.cell.2019.03.030
Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
Cell. Volume 179, Issue 4: p. 964-983.e31, 31 Oct 2019
10.1016/j.cell.2019.10.007
Date: Wednesday, April 15, 2026
Time: 9:25 PM - 9:25 PM EDT
Location: Web Conference (See WebEx information below)
Speakers:
Dr.
Bill Wysocki, Director of User Services, University of Chicago (UChicago)
Dr.
Xin Zhou, Assistant Member, St. Jude Children's Research Hospital
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, April 29, 2026
- 2:00 pm | Eastern Standard Time (New York, GMT-04:00) | 1 hr
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