Algorithms for next-generation sequencing / / Wing-Kin Sung

• Autore: Sung Wing-Kin
• Pubblicazione: Boca Raton, FL : , : CRC Press, Taylor & Francis Group, , [2017]; ©2017
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (347 pages) : illustrations
• Disciplina: 570.285
• Soggetto topico: Bioinformatics; Nucleotide sequence; Genetic algorithms
• Note generali: "A Chapman & Hall book."
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 1. Introduction -- 2. NGS file formats -- 3. Related algorithms and data structures -- 4. NGS read mapping -- 5. Genome assembly -- 6. Single nucleotide variation (SNV) calling -- 7. Structural variation calling -- 8. RNA-seq -- 9. Peak calling methods -- 10. Data compression techniques used in NGS files.
• Sommario/riassunto: Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
• Titolo autorizzato: Algorithms for next-generation sequencing
• ISBN: 1-4987-5298-5; 1-315-37435-8; 1-4665-6551-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910960954203321
• Lo trovi qui: Univ. Federico II
• Serie: Chapman and Hall/CRC mathematical & computational biology series.