Next-generation DNA sequencing (NGS) technology has revolutionized biomedical research, making genome and RNA sequencing an affordable and frequently used tool for a wide variety of research applications including variant (mutation) discovery, gene expression, transcription factor analysis, metagenomics, and epigenetics. Bioinformatics methods to support DNA sequencing have become and remain a critical bottleneck for many researchers and organizations wishing to make use of NGS technology. This new edition provides a thorough, plain-language introduction to the necessary informatics methods and tools for analyzing NGS data and provides detailed descriptions of algorithms, strengths and weaknesses of specific tools, pitfalls, and alternative methods. Four new chapters cover experimental design, sample preparation, and quality assessment of NGS data; public databases for DNA sequencing data; de novo transcript assembly; proteogenomics; and emerging sequencing technologies. The remaining chapters from the first edition have been updated with the latest information. This book also provides extensive reference to best-practice bioinformatics methods for NGS applications and tutorials for common workflows. This edition addresses the informatics needs of students, laboratory scientists, and computing specialists who wish to take advantage of the explosion of research opportunities offered by new DNA sequencing technologies. Authors Alexander Alekseyenko Silvia Argimón Brian D. Athey Miroslav Blumenberg Stuart M. Brown Lisa Cohen Efstratios Efstathiadis David Fenyö Jeremy Goecks Gerald A. Higgins D. Frank Hsu Kranti Konganti Konstantinos Krampis Guillermo I. Perez-Perez Kelly V. Ruggles Christina Schweikert Steven Shen Phillip Ross Smith Zuojian Tang Jinhua Wang "Next-Generation DNA Sequencing Informatics (2nd edition)...is a book to get you well and truly started in Bioinformatics....the chapters appear to flow well internally and cover the main aspects of the methods presented. Certainly the QC and RNA-seq chapters will point students or new bioinformaticians in the right direction....this book is likely to be a good one to have on your shelf." --CoreGenomics blog Take advantage of the explosion of research opportunities offered by new DNA sequencing technologies Stuart M. Brown is an Associate Professor at the NYU Center for Health Informatics and Bioinformatics. He leads a consulting group focused on Sequencing Informatics and teaches graduate Bioinformatics courses. His current research includes de novo sequencing/assembly/annotation of interesting genomes, RNA-seq gene expression studies, motif analysis of gene regulatory domains, and data management for integrative genomics projects. He is the author of Next-Generation DNA Sequencing Informatics (2012, 2015) and Essentials of Medical Genomics (2008). He received his PhD. in molecular biology from Cornell University in 1992 and his BS in Botany from the University of Michigan in 1983.