Skip to content

Implemented an RNA-seq data analysis pipeline using R and DESeq2 for differential expression analysis

License

Notifications You must be signed in to change notification settings

chandakya343/RnaSeqDE

Repository files navigation

RNA-Seq Data: Differential Expression Analysis

Introduction

This project involves the differential expression analysis of RNA-seq data using the DESeq2 package in R. The analysis aims to identify significant changes in gene expression associated with specific conditions, such as diseases.

Installation

To run this project, R must be installed along with the following R packages:

  • DESeq2
  • RColorBrewer
  • pheatmap
  • tidyverse

You can install these packages using the following commands in R:

install.packages("BiocManager")
BiocManager::install("DESeq2")
install.packages(c("RColorBrewer", "pheatmap", "tidyverse"))

About

Implemented an RNA-seq data analysis pipeline using R and DESeq2 for differential expression analysis

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published