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Algorithms for Next-Generation Sequencing Data
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Techniques, Approaches, and Applications
eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar
Artikel-Nr:
9783319598260
Veröffentl:
2017
Einband:
eBook
Seiten:
355
Autor:
Mourad Elloumi
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.
Indexing, Compression and Storage of NGS Data.- Error Correction in NGS Data.- Alignment of NGS Data.- Assembly of NGS Data.