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+# 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](https://tiny.cc/single-cell-bootcamp)**
+
+# Example of some R code
+`print("Hello world")`