RNA Sequencing Data Analysis: A Beginner's Guide

Many researchers collect RNA sequencing data but often face challenges in knowing how to begin its analysis. This course provides a clear, step-by-step introduction to the world of RNA sequencing data processing and interpretation, transforming you from a novice to someone capable of understanding and working with this powerful data type. You will gain the foundational skills to take raw RNA-seq data through a complete analysis pipeline, enabling you to derive valuable biological conclusions. What you'll learn: * Understand the fundamental principles of RNA sequencing technology and experimental design. * Learn to assess and improve the quality of raw RNA-seq data. * Apply standard bioinformatics tools for read alignment and gene expression quantification. * Perform differential expression analysis to identify significant gene changes. * Interpret and visualize RNA-seq results to uncover biological insights. * Explore foundational concepts of modern RNA-seq data processing workflows and best practices. This course begins by establishing core concepts and terminology of RNA sequencing, then progresses through practical steps for data handling, analysis, and interpretation, focusing on robust, current best practices. This course is designed for absolute beginners in bioinformatics or molecular biology researchers with no prior experience in RNA sequencing data analysis. No prerequisites are required. Start your journey into RNA sequencing data analysis today.