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

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.

List of contents

Indexing, Compression and Storage of NGS Data.- Error Correction in NGS Data.- Alignment of NGS Data.- Assembly of NGS Data.

Summary

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.

Product details

• Assisted by: Moura Elloumi (Editor), Mourad Elloumi (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783319867106
• ISBN: 978-3-31-986710-6
• No. of pages: 355
• Dimensions: 156 mm x 237 mm x 21 mm
• Weight: 569 g
• Illustrations: XIII, 355 p. 108 illus., 3 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > Biology > Miscellaneous; B, Algorithms, computer science, molecular biology, bioinformatics, Theory of Computation, Algorithms & data structures, Information technology: general issues, Maths for scientists, Algorithm Analysis and Problem Complexity, Computational and Systems Biology, Computational Biology/Bioinformatics, Biomathematics, Mathematical and Computational Biology