This is an example analysis using Seurat package to analyze scRNA-seq data in R. Seurat is a popular package for single-cell RNA sequencing data analysis that provides a wide range of functions for preprocessing, normalization, quality control, clustering, and visualization of scRNA-seq data.
To get started with this analysis, follow the steps below:
- Clone or download this repository to your local machine.
- Install R and RStudio on your computer if you haven't already.
- Open the analysis.Rmd file in RStudio and follow the instructions provided in the document.
The original guide for this analysis can be found in the following links:
https://github.com/brandonyph/Introduction-to-Seurat-Package/blob/main/Seurat.Rmd https://satijalab.org/seurat/articles/pbmc3k_tutorial.html https://github.com/quadbiolab/scRNAseq_analysis_vignette/blob/master/Tutorial.md These guides provide detailed information on how to use Seurat for scRNA-seq data analysis. You can refer to these guides for more information on the Seurat package and its functions.
The dataset used in this analysis can be found in the following link:
https://bmbls.bmi.osumc.edu/scread/ This dataset contains scRNA-seq data that can be used to analyze gene expression in single cells. You can download this dataset and use it to reproduce the analysis presented in this repository.
Seurat is a powerful package for scRNA-seq data analysis that provides a wide range of functions for preprocessing, normalization, quality control, clustering, and visualization of scRNA-seq data. This repository provides an example analysis using Seurat package that you can use as a starting point for your own analysis.