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Algorithms for Next-Generation Sequencing Data: Techniques, Approaches, and Applications de Mourad Elloumi

Algorithms for Next-Generation Sequencing Data: Techniques, Approaches, and Applications

Editat de Mourad Elloumi
en Limba Engleză Hardback – 2 oct 2017
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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Specificații

ISBN-13: 9783319598246
ISBN-10: 3319598244
Pagini: 365
Ilustrații: XIII, 355 p. 108 illus., 3 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.69 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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

Textul de pe ultima copertă

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.

Caracteristici

First consolidated description of techniques and applications Key technology will help to decode life's mysteries, detect pathogens, make better crops, and improve quality of life Valuable for researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences