Intended Audience
This webinar is designed for researchers interested in learning how the GDC harmonizes single cell RNA-Seq data and provides an overview of the new GDC Single Cell RNA-Seq Tool which visualizes single-cell RNA-Seq data with cluster plots and gene expression overlays. It is ideal for anyone looking to analyze single cell RNA-Seq data for cancer research, regardless of their prior experience in genomics.
Abstract
The GDC processes single-cell RNA-Seq (scRNA-Seq) data using the Cell Ranger pipeline to calculate gene expression, followed by Seurat for secondary expression analysis, and makes the aligned reads file (BAM), as well as raw and filtered counts (MEX) accessible to the research community. Researchers can analyze scRNA-Seq data using the newly developed GDC scRNA-Seq Tool, which streamlines the exploration of single cell RNA sequencing data through cluster plots and gene expression overlays. The tool supports dimensionality reduction visualization using UMAP, tSNE, and PCA plots, facilitates the analysis of gene expression patterns across clusters, and enables differential expression and Gene Set Enrichment Analysis (GSEA). Additionally, it allows researchers to examine gene expression distributions across clusters and perform pairwise comparisons with descriptive statistics. Expression data can also be accessed programmatically using the new GDC scRNA-Seq gene expression API endpoint. This webinar will provide an in-depth look at GDC scRNA-Seq workflows, demonstrate how the scRNA-Seq Tool can enhance single-cell research efforts, and review the GDC scRNA-Seq gene expression API.
Included Topics
- Overview of GDC workflows for harmonizing single cell RNA-Seq data
- Demonstration of the GDC Single Cell RNA-Seq tool
- Review of the GDC Single Cell gene expression API for programmatic access
- Live Q&A session to address user questions and gather feedback
Webex Information
GDC Single Cell RNA-Seq Analysis
- Monday, May 19, 2025
- 2:00 pm | Eastern Standard Time (New York, GMT-04:00) | 1 hr
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