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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Elloumi, Mourad (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Θέματα: Computer science.; Algorithms.; Bioinformatics.; Biomathematics.; Computer Science.; Computational Biology/Bioinformatics.; Mathematical and Computational Biology.; Algorithm Analysis and Problem Complexity.
• Φυσική περιγραφή: XIII, 355 p. 108 illus., 3 illus. in color. online resource.
• ISBN: 9783319598260

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.