Algorithms for Next-Generation Sequencing Data
Editat de Mourad Elloumien Limba Engleză Paperback – 11 aug 2018
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: 9783319867106
ISBN-10: 3319867105
Pagini: 372
Ilustrații: XIII, 355 p. 108 illus., 3 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.56 kg
Ediția:Softcover reprint of the original 1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319867105
Pagini: 372
Ilustrații: XIII, 355 p. 108 illus., 3 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.56 kg
Ediția:Softcover reprint of the original 1st edition 2017
Editura: 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