NEXT GENERATION SEQUENCING DATA ANALYSIS 2ED (HB 2024) Paperback

Next Generation Sequencing Data Analysis 2nd Edition (HB 2024) offers a comprehensive and updated guide to the rapidly evolving field of next-generation sequencing (NGS) data analysis. This hardback edition, published in 2024, provides a step-by-step walkthrough of the entire NGS data analysis pipeline, catering to a wide range of NGS applications.   The book covers crucial aspects, starting from experimental design and sample processing to sequencing strategy formulation, read quality control, data preprocessing, read mapping or assembly, and advanced analysis specific to each application. Major applications explored include bulk and single-cell RNA-seq, genotyping and variant discovery through whole genome/exome sequencing, clinical sequencing for actionable variant detection, de novo genome assembly, ChIP-seq for mapping protein-DNA interactions, and epigenomics through DNA methylation sequencing. This second edition builds upon the well-received first edition by incorporating updates in each chapter and adding two new chapters dedicated to the growing demands of single-cell RNA-seq and clinical sequencing data analysis. The increasing use of long-read sequencing technologies is also integrated across all relevant NGS applications. The book emphasizes the underlying concepts and principles of each analytical step, along with providing information on software tools for implementation. It highlights key features of these tools while omitting excessive technical details, aiming to be an accessible guide for practitioners in life sciences, bioinformatics, biostatistics, and data science.   Prior to delving into application-specific analysis, the book includes introductory material on cellular and molecular biology (serving as a refresher for data scientists), detailed explanations of widely used NGS platforms, and an overview of the computational requirements for NGS data management and analysis. The concluding chapter discusses the dynamic landscape of NGS technologies and data analytics.