From 63f8a668a660811cd4a804a45f28ec4eb277b05f Mon Sep 17 00:00:00 2001 From: Henry Miller Date: Tue, 16 Feb 2021 17:24:19 -0600 Subject: [PATCH] Made a copy of README.md --- README - Copy.md | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 README - Copy.md diff --git a/README - Copy.md b/README - Copy.md new file mode 100644 index 0000000..a0fbf36 --- /dev/null +++ b/README - Copy.md @@ -0,0 +1,24 @@ +# 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")`