Foundations of NGS Data Analysis: A Bioinformatics Refresher

Next-Generation Sequencing (NGS) has revolutionized biology and medicine, but diving into raw genomic data can be overwhelming without a strong grasp of the fundamentals. This text-based course is designed to bridge that gap, helping you build or refresh your core knowledge of NGS technologies and data workflows. You will transition from understanding basic sequencing chemistry to confidently navigating the standard steps of bioinformatics pipelines. By focusing on the conceptual and theoretical underpinnings of genomic data, you will prepare yourself for practical analysis, research projects, or advanced technical studies. What you'll learn: Understand the fundamental chemistry and mechanics behind various high-throughput NGS platforms; Identify and interpret standard genomic file formats, including FASTQ, SAM, BAM, and VCF; Evaluate sequence quality using key metrics like Phred quality scores and adapter contamination indicators; Learn the principles of sequence alignment, mapping reads to a reference genome, and variant calling; Explore modern workflow management concepts and reproducible bioinformatics practices. The course begins with key terminology and the biological foundations of sequencing before moving into data formats, quality control, and alignment methodologies. You will reinforce your learning through written explanations, conceptual walkthroughs, and self-assessment exercises. This course is designed for beginners in bioinformatics, life science students, and researchers looking to refresh their theoretical knowledge of NGS before starting hands-on data analysis. No prior programming experience is required. Start reading today to unlock the fundamentals of genomic data analysis.