Algorithms for Next-Generation Sequencing Data Techniques, Approaches, and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Elloumi, Mourad (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Subjects: Computer science.; Algorithms.; Bioinformatics.; Biomathematics.; Computer Science.; Computational Biology/Bioinformatics.; Mathematical and Computational Biology.; Algorithm Analysis and Problem Complexity.
• Physical Description: XIII, 355 p. 108 illus., 3 illus. in color. online resource.
• ISBN: 9783319598260

The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.