Algorithms for Next-Generation Sequencing Data [[electronic resource] ] : Techniques, Approaches, and Applications / / edited by Mourad Elloumi
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| Titolo: |
Algorithms for Next-Generation Sequencing Data [[electronic resource] ] : Techniques, Approaches, and Applications / / edited by Mourad Elloumi
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Edizione: | 1st ed. 2017. |
| Descrizione fisica: | 1 online resource (XIII, 355 p. 108 illus., 3 illus. in color.) |
| Disciplina: | 570.285 |
| Soggetto topico: | Bioinformatics |
| Biomathematics | |
| Algorithms | |
| Computational Biology/Bioinformatics | |
| Mathematical and Computational Biology | |
| Algorithm Analysis and Problem Complexity | |
| Persona (resp. second.): | ElloumiMourad |
| Nota di bibliografia: | Includes bibliographical references. |
| Sommario/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. |
| Titolo autorizzato: | Algorithms for Next-Generation Sequencing Data |
| ISBN: | 3-319-59826-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910254843603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |