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...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2017, 2017
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| Edition: | 1st ed. 2017 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
| 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 |
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| Physical Description: | XIII, 355 p. 108 illus., 3 illus. in color online resource |
| ISBN: | 9783319598260 |