Next-Generation Sequencing Fundamentals and Data Processing

High-throughput sequencing has revolutionized modern genomics and biological research, creating a vast demand for skills in processing raw sequencing data. This written course provides a structured introduction to Next-Generation Sequencing (NGS) technologies, taking you from core concepts to primary data analysis. You will start by mastering foundational terminology, sequencing platforms, and experimental design fundamentals before diving into data evaluation. Through detailed written explanations and guided examples, you will learn how to assess sequencing quality, handle standard bioinformatic formats, and execute primary data processing pipelines. What you will learn: Understand key NGS platforms, applications, and foundational genomic terminology. Perform raw data quality control to identify sequencing artifacts and contamination. Navigate and convert standard genomic file formats such as FASTQ, SAM, BAM, and VCF. Apply read filtering, trimming, and preprocessing strategies for downstream analysis. Explore alignment workflows and modern reproducible pipeline concepts in bioinformatics. The course begins with clear definitions of core molecular and computational concepts, then progresses logically into hands-on data manipulation techniques. Designed specifically for beginners in bioinformatics, researchers, and biology students, no prior computational background is required. Start reading today to build a strong foundation in high-throughput sequencing analysis.