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

Elloumi, Mourad

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.

Details

Published by: Springer

Publication Date: 2017-10-02

Format: Hardcover

ISBN-13: 9783319598246

DOI: 10.1007/978-3-319-59826-0

Dimensions: 235cm x155cm

Pages: 355