Algorithms for Next-Generation Sequencing Data [E-Book] : Techniques, Approaches, and Applications / edited by Mourad Elloumi.
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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Personal Name(s): | Elloumi, Mourad, editor |
Imprint: |
Cham :
Springer International Publishing,
2017
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Physical Description: |
XIII, 355 p. 108 illus., 3 illus. in color. online resource. |
Note: |
englisch |
ISBN: |
9783319598260 |
DOI: |
10.1007/978-3-319-59826-0 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
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. |