Empowering RNA-Seq Analysis: Building and Utilizing Your Custom R Package
Introduction In the vast realm of bioinformatics, understanding gene expression is crucial for unraveling the mysteries of biology and disease. One powerful tool in this pursuit is the R programming language, enriched by packages like DESeq2 for conducting differential gene expression analysis. However, navigating these tools can be complex for beginners. That's where our custom package, MyDataAnalytics, steps in to streamline the process. In this blog post, we'll walk you through the steps of conducting differential gene expression analysis using MyDataAnalytics, simplifying a task that can often seem daunting. Part 1: Creating Your Custom R Package Creating a custom R package involves several steps, from defining functions to structuring directories and documentation. Let's outline the process: Define Functions : Begin by defining functions that encapsulate specific tasks related to RNA-Seq analysis, such as creating DESeqDataSet objects, running DESeq analysis, filteri...