Bioinformatics Bootcamp Special Topics Workshop: Single Cell RNA-Seq Analysis

Presented by UT Health San Antonio BIG Club

Welcome to the Bioinformatics Bootcamp Advanced topics workshop on Single Cell RNA-Seq Analysis. This workshop is designed to teach you how to:

• Perform basic scRNA-Seq data preparation.
• Use manifold learning techniques to analyze cellular relationships in scRNA-Seq data.
• Find and interpret biologically-meaningful patterns in scRNA-Seq data.
• Integrate single cell data from multiple batches, studies, or modalities.
• Present the results of scRNA-Seq analyses with publication-quality figures.

The workshop is broken up into several interactive modules:

1. Introduction to single cell biology and loading single cell datasets
2. Single cell data preparation
3. Manifold learning with single cell datasets
4. Biological interpretation of single cell RNA-Seq
5. Data integration, cell cycle, and other advanced topics in scRNA-Seq analysis
6. Final Project: Identification of clinically-relevant tumor subpopulations

Navigate to the folder for each module to view the relevant scripts, assignments, and lecture materials.

Please read the syllabus (in this directory) for workshop details. If you haven't already, make sure to enroll by filling out the online form

Example of some R code

print("Hello world")