Algorithms for Next-Generation Sequencing Data
Techniques, Approaches, and Applications
Published on 18. September 2017
XIII, 355 pages
978-3-319-59826-0 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIII, 355 p. 108 illus., 3 illus. in color.
File size
7,42 MB
ISBN-13
978-3-319-59826-0 (9783319598260)
DOI
10.1007/978-3-319-59826-0
Schweitzer Classification
Other editions
Additional editions
Mourad Elloumi
Algorithms for Next-Generation Sequencing Data
Techniques, Approaches, and Applications
Book
10/2017
Springer
€149.79
Shipment within 10-15 days
Person
Content
Indexing, Compression and Storage of NGS Data.- Error Correction in NGS Data.- Alignment of NGS Data.- Assembly of NGS Data.
