Next-Generation Sequencing Data Analysis

Next-generation DNA and RNA sequencing has revolutionized biology and medicine, and data analysis is becoming increasingly important. Next-Generation Sequencing Data Analysis provides a step-by-step guide to NGS data analysis for a wide range of applications, including RNA-seq, genotyping, clinical sequencing, and epigenomics. It covers topics from experimental design to data preprocessing and highlights key features of open-source software tools.

Format: Hardback
Length: 416 pages
Publication date: 06 July 2023
Publisher: Taylor & Francis Ltd

Next-generation DNA and RNA sequencing has brought about a revolutionary transformation in the fields of biology and medicine. The continuous decline in sequencing costs and the growing capacity to generate vast datasets have underscored the increasing importance of data analysis in our understanding of complex biological processes.

In response to this demand, Next-Generation Sequencing Data Analysis: A Comprehensive Guide provides a comprehensive and practical guide to the analysis of next-generation sequencing (NGS) data. This book is designed to cater to a wide range of NGS applications, from RNA-seq to genotyping and variant discovery, clinical sequencing, epigenomics, and metagenome sequencing.

The first edition of this book was highly acclaimed, and the second edition builds upon its success by incorporating updates to each chapter. Two brand new chapters have been added to address the growing demand for data analysis in single-cell RNA-seq and clinical sequencing. Moreover, the increasing use of long-read sequencing techniques has been reflected in the book, ensuring that readers are equipped with the latest knowledge and tools in this rapidly evolving field.

The book is structured in a step-by-step manner, making it accessible to both novice and experienced data analysts. It begins with an introductory chapter that provides a refresher in cellular and molecular biology, mainly aimed at data scientists who may not have a background in biology. This chapter also covers the ins and outs of widely used NGS platforms and highlights the computing requirements for efficient NGS data management and analysis.

Following the introductory chapter, the book delves into the analytic steps for each NGS application. Each chapter focuses on a specific application, providing detailed explanations of experimental design, sample processing, sequencing strategy formulation, quality control, data preprocessing, read mapping or assembly, and advanced stages that are tailored to the application at hand. Major applications covered include RNA-seq, genotyping and variant discovery, clinical sequencing, epigenomics, and metagenome sequencing.

Throughout the book, real-world examples and case studies are used to illustrate the analytical processes and demonstrate their practical applications. These examples help readers to understand the complexities of NGS data analysis and apply the learned techniques to their own research projects.

In addition to the technical aspects of data analysis, the book also addresses the changing landscape of NGS technologies and data analytics. It discusses the emerging trends in sequencing technologies, such as single-cell RNA-seq and long-read sequencing, and their impact on data analysis. It also explores the challenges and opportunities associated with big data analysis and the development of computational tools and methodologies to handle large and complex datasets.

Next-Generation Sequencing Data Analysis: A Comprehensive Guide is an essential resource for researchers, scientists, and practitioners in the fields of biology, medicine, and genetics. It provides a comprehensive and up-to-date guide to the analysis of NGS data, covering a wide range of applications and providing practical insights and techniques for data interpretation and interpretation. Whether you are a beginner or an experienced data analyst, this book will help you unlock the full potential of NGS data and advance your research endeavors.

Weight: 854g
Dimension: 161 x 241 x 25 (mm)
ISBN-13: 9780367349899
Edition number: 2 ed