Algorithms for Next-Generation Sequencing Data
Techniques, Approaches, and Applications| By: | null |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319598246 |
| eText ISBN: | 9783319598260 |
| Edition: | 0 |
| Copyright: | 2017 |
| Format: | Page Fidelity |
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Table of Contents
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.