Algorithms for Next-Generation Sequencing Data (eBook, PDF)

Techniques, Approaches, and Applications
Redaktion: Elloumi, Mourad

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 355
• Erscheinungstermin: 18. September 2017
• Englisch
• ISBN-13: 9783319598260
• Artikelnr.: 53060001

Inhaltsangabe

Indexing, Compression and Storage of NGS Data.- Error Correction in NGS Data.- Alignment of NGS Data.- Assembly of NGS Data.