Preparation Steps for the scRNA-Seq Data Analysis Workshop

1. Install R and RStudio: (required)

   • R: Download and install the latest version of R from the Comprehensive R Archive Network (CRAN). Choose the mirror site nearest to you for a faster download.
   • RStudio: After installing R, download and install RStudio, which provides a more user-friendly interface for coding in R. Get it from RStudio's official website.

2. Install the Seurat package for scRNA-Seq data analysis:

   • Open RStudio and install the Seurat package by running the following command in the console:

     install.packages("remotes")
     remotes::install_github("satijalab/seurat", ref = "develop")

   • Load Seurat to make sure it was installed correctly:

     library(Seurat)

3. Read introductory materials: (recommended)

   • Basic R Programming:
     • Read "R for Data Sience", which is freely available here specially the first Chapter!
     • Read "An Introduction to R", which is freely available here. Focus on the sections about data types, basic operations, and data frames.
   • scRNA-Seq and Seurat:
     • Read the Seurat vignettes on the Satija Lab website to understand how to handle scRNA-Seq data using Seurat.

4. Practical Exercises: (strongly recommended)

   • Try out some basic R exercises to get comfortable with the syntax and basic data operations.
   • Work through the Guided Clustering of scRNA-Seq Data tutorial available on the Seurat website to get practical experience with scRNA-Seq data analysis.

5. Set up your working environment: (required)

   • Ensure that your computer meets the system requirements for handling large datasets, as scRNA-Seq analysis can be computationally intensive.
   • Organize a workspace in RStudio, creating specific projects or folders for your workshop materials for easy access during the workshop.