Overview
First consolidated description of techniques and applications
Key technology will help to decode life's mysteries, detect pathogens, make better crops, and improve quality of life
Valuable for researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences
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Table of contents (14 chapters)
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Front Matter
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Indexing, Compression, and Storage of NGS Data
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Front Matter
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Keywords
About this book
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.Â
The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.
Editors and Affiliations
Bibliographic Information
Book Title: Algorithms for Next-Generation Sequencing Data
Book Subtitle: Techniques, Approaches, and Applications
Editors: Mourad Elloumi
DOI: https://doi.org/10.1007/978-3-319-59826-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-59824-6Published: 02 October 2017
Softcover ISBN: 978-3-319-86710-6Published: 11 August 2018
eBook ISBN: 978-3-319-59826-0Published: 18 September 2017
Edition Number: 1
Number of Pages: XIII, 355
Number of Illustrations: 105 b/w illustrations, 3 illustrations in colour
Topics: Computational Biology/Bioinformatics, Mathematical and Computational Biology, Bioinformatics, Algorithm Analysis and Problem Complexity