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

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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Mourad Elloumi (Editore), Moura Elloumi (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 31.08.2017
• Categoria: Scienze naturali, medicina, informatica, tecnica > Biologia > Altro
• EAN: 9783319598246
• ISBN: 978-3-31-959824-6
• Numero di pagine: 355
• Illustrazioni: XIII, 355 p. 108 illus., 3 illus. in color.
• Dimensioni (della confezione): 16 x 23.9 x 2.8 cm
• Peso (della confezione): 738 g
• Categorie: B, Algorithms, computer science, molecular biology, bioinformatics, Theory of Computation, Algorithms & data structures, Information technology: general issues, Maths for scientists, Algorithm Analysis and Problem Complexity, Computational and Systems Biology, Computational Biology/Bioinformatics, Biomathematics, Mathematical and Computational Biology