Beginner Bioinformatics: Transcriptomics and RNA-Seq Analysis

Unlocking the secrets of gene expression is crucial for understanding biological processes and diseases. This course provides a clear, text-based path to master the bioinformatics methods essential for analyzing transcriptomic data. By the end of this course, you will be able to confidently navigate the complete workflow of RNA sequencing data analysis, from raw data processing to biological interpretation, preparing you for real-world applications in genomics. What you'll learn: * Understand foundational concepts of gene expression and transcriptomics experimentation. * Apply standard bioinformatics tools for raw RNA-Seq data quality control and preprocessing. * Perform alignment, quantification, and differential gene expression analysis. * Interpret biological insights from transcriptomic data through enrichment and visualization. * Practice best practices for reproducible bioinformatics workflows and basic scripting. * Explore fundamental concepts of single-cell RNA sequencing (scRNA-seq) analysis. This course guides you through theoretical foundations, practical data handling, and analytical techniques, building your expertise step-by-step with clear explanations and code snippets. This course is designed for absolute beginners in bioinformatics or molecular biology students with no prior programming or advanced statistical experience. Begin your journey into the exciting world of transcriptomics and gene expression analysis today.