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Learn the fundamentals of Next-Generation Sequencing data management in this beginner-friendly tutorial that demystifies why NGS samples generate multiple FASTQ files and how to handle them effectively. Explore the essential concepts of library preparation, barcoding, and multiplexing to understand how samples are processed and organized during sequencing. Discover the structure and function of flowcells, including why multiple samples are run together and why the same sample might be distributed across multiple lanes. Examine real-world examples using the Genome in a Bottle (GIAB) dataset to see how library preparation and sequencing decisions affect data organization and file structure. Master the practical aspects of managing multiple FASTQ files in bioinformatics workflows, including understanding folder structures and data organization strategies. Gain insights into coverage distribution between single-lane and multi-lane approaches, and develop the skills needed to navigate complex NGS datasets with confidence.
