RNA-Seq Data Analysis: A Beginner's Guide to Genomics

Unlock the secrets of the transcriptome and discover how gene expression shapes living organisms. RNA sequencing (RNA-Seq) is a cornerstone of modern genomics, yet starting out in bioinformatics can feel overwhelming. This text-based course guides you through the entire RNA-Seq workflow, transforming you from a beginner into a confident analyst. You will learn how to process raw sequencing files, align reads, and perform differential expression analysis using standard industry workflows. What you'll learn: - Understand the fundamental biology of coding and non-coding RNA molecules - Analyze raw sequencing data quality using standard command-line tools - Align RNA-Seq reads to reference genomes and estimate gene expression levels - Perform differential gene expression analysis to identify biological variations - Explore modern single-cell RNA-seq (scRNA-seq) concepts and emerging trends - Interpret biological pathways and functional enrichment from genomics data The course begins with core biological concepts and sequencing technologies before moving step-by-step through quality control, alignment, and statistical analysis. You will study clear command-line and R-based snippets that illustrate each stage of the analysis pipeline. Designed for students, researchers, and aspiring bioinformaticians, this course requires no prior experience in genomics or programming. Start your journey into transcriptomics and gain the skills to analyze genomic data today.