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Peer-to-Peer Teaching Series- Single-Cell RNA-Seq Data Analysis and Visualization Using R: A Hands-On Workshop

Peer-to-Peer Teaching Series- Single-Cell RNA-Seq Data Analysis and Visualization Using R: A Hands-On Workshop In-Person

Presenter: Upasna Srivastava, PhD

Omics data is revolutionizing biological research, providing deeper insights into cellular diversity and function. Single-cell RNA sequencing (scRNA-seq) enables the study of gene expression at the individual cell level, offering a more detailed view of heterogeneity within tissues or organisms.

In this session, you will learn how to analyze 10X Chromium single-cell RNA-seq data using Seurat, a widely used R package for scRNA-seq analysis. This hands-on workshop will guide you through key steps in data processing, analysis, and visualization, helping you extract meaningful biological insights from your dataset.

You will learn how to:

  • Import and preprocess 10X Genomics single-cell RNA-seq data in R.
  • Perform quality control, normalization, and scaling to prepare data for analysis.
  • Apply dimensionality reduction techniques (PCA, t-SNE, UMAP) to visualize cellular diversity.
  • Identify distinct cell populations using clustering algorithms.
  • Conduct differential expression analysis to find marker genes.
  • Annotate cell types using known markers or automated tools.
  • Hands-on Q&A and Discussion
  • Generate insightful visualizations, including:
  • UMAP/t-SNE plots for cell clustering
  • Feature plots, violin plots, and dot plots for gene expression analysis
  • Heatmaps for differentially expressed genes
  • Integrate results into RMarkdown for reproducible reporting.

 

Requirements:

Laptop is required for this hands-on workshop with R ≥4.0, RStudio, and Seurat installed

Basic knowledge of R and RStudio is recommended.

Before attending, please install the following R packages:

  • Seurat
  • dplyr
  • ggplot2

Scripts and example datasets will be provided before the workshop

Target Audience:

This workshop is ideal for biologists, bioinformaticians, and computational researchers who want to gain hands-on experience with single-cell RNA-seq analysis. Whether you are new to scRNA-seq or looking to refine your skills, this session will provide practical guidance for working with Seurat.

Registration is required to attend.

Date:
Thursday, April 10, 2025
Time:
10:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
SHM L 111, Cushing/Whitney Medical Library, 333 Cedar Street
Campus:
Medical School
Categories:
  Bioinformatics  

Registration is required. There are no seats available but a waiting list is available.

Event Organizer

Profile photo of Rolando Garcia-Milian
Rolando Garcia-Milian