Next Generation Sequencing: NGS Data Analysis and Applications

The explosion of genomic data has made Next Generation Sequencing (NGS) an indispensable tool in modern biology, medicine, and research. Understanding how to process, analyze, and interpret this massive amount of biological data is a critical skill for today's life scientists and bioinformaticians. This text-based course guides you through the entire NGS data analysis pipeline, transforming you from a beginner into a confident practitioner who can handle raw sequencing files and extract meaningful biological insights. You will learn the core concepts of genomics, understand different sequencing platforms, and study the standard workflows used in research and clinical settings. What you'll learn: - Understand the foundational biochemistry and technologies behind major NGS platforms - Perform quality control and preprocessing on raw sequencing data using standard formats - Align sequence reads to reference genomes and identify genetic variants - Analyze RNA-Seq data to measure gene expression levels and detect differential expression - Explore modern genomic workflows including single-cell RNA-seq concepts and cloud-based analysis - Apply reproducibility standards to bioinformatics pipelines using modern workflow principles Starting with essential biological and computational definitions, the course progresses logically from raw data quality assessment to alignment, variant calling, and downstream biological interpretation. This course is designed specifically for beginners and requires no prior bioinformatics or programming experience, making it ideal for students, researchers, and clinicians entering the genomics field. Start your journey into the world of genomics and master the foundations of sequencing data analysis today.