NGSToolkit mdBook eBook

April 4, 2026 · View on GitHub

NGSToolkit is a comprehensive educational resource designed to equip learners with the tools, concepts, and practical knowledge needed to excel in Next-Generation Sequencing (NGS) data analysis.

Built using mdBook, this interactive eBook provides a structured and accessible learning path, covering the full NGS workflow , from raw data generation to biological interpretation.

Overview

This book is intended for:

  • Students in bioinformatics, genomics, and computational biology
  • Researchers transitioning into NGS analysis
  • Anyone seeking a clear, structured introduction to sequencing data workflows

The content balances theoretical foundations with practical pipelines and tools, making it suitable for both beginners and intermediate learners.

Contents

🔹 Introduction

  • Overview of NGS technologies and applications
  • Historical evolution of sequencing methods

🔹 Data Generation

  • How sequencing reads are produced

  • Key concepts:

    • Error rates
    • Read length
    • Coverage & depth

🔹 Data Processing Concepts

  • Quality control principles
  • Common file formats used in NGS workflows

🔹 Variant Detection

  • Types of genetic variants

  • Variant calling methodologies:

    • GATK pipelines
    • nf-core pipelines
    • Common tools

  • Statistical models behind detection

  • Challenges in variant identification

  • Population genomics concepts

🔹 Functional Annotation

  • Annotation strategies and tools
  • Assessing variant impact
  • Clinical interpretation of variants
  • Ethical considerations in genomic analysis

Book Structure

.
├── 00-Introduction
├── 02-Data_Generation
├── 03-Data_Processing_Concepts
├── 04-Variant_Detection
└── 05-Functional_Annotation

Each section is organized into modular chapters, allowing readers to:

  • Follow a linear learning path
  • Jump directly to topics of interest

Built With

  • mdBook for generating the static, interactive book
  • Markdown for clean, readable content formatting

Getting Started

To view the online book version , visite the online version

or serve the book locally by executing the below command after cloning the repo :

# Serve locally
mdbook serve --open

Learning Goals

By the end of this book, readers will be able to:

  • Understand how NGS data is generated and structured
  • Perform quality control and preprocessing
  • Execute variant calling workflows
  • Interpret genetic variants in biological and clinical contexts
  • Recognize ethical considerations in genomics

Contributors

We gratefully acknowledge the contributions of the following individuals:

Firas Zemzem - University of Monastir, Tunisia

Kimberly Christine Coetzer - Stellenbosch University, South Africa

Salma Maalaoui - University of Sousse, Tunisia

Contributing

Want to contribute? Feel free to open a pull request or suggest improvements!

Contributions are welcome! You can help by:

  • Fixing typos or improving explanations
  • Adding new tools or workflows
  • Expanding practical examples

License

This project is open-source and available under an appropriate academic-friendly license (to be defined).

Acknowledgments

This project aims to simplify and democratize access to NGS data analysis knowledge, making advanced genomics concepts accessible to a broader audience.

Happy learning! 🚀