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Next generation sequencing and data analysis / / Melanie Kappelmann-Fenzl, editor



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Titolo: Next generation sequencing and data analysis / / Melanie Kappelmann-Fenzl, editor Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2021]
©2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (XII, 218 p. 54 illus., 51 illus. in color.)
Disciplina: 572.8
Soggetto topico: Sequence alignment (Bioinformatics)
Biologia computacional
Soggetto genere / forma: Llibres electrònics
Persona (resp. second.): Kappelmann-FenzlMelanie
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Chapter 1. Next Generation Sequencing (NGS)- What can be sequenced? -- Opportunities and Perspectives of NGS Applications in Cancer Research -- Chapter 3. Library Construction for NGS -- Chapter 4. NGS Technologies -- Chapter 5. Computer Setup -- Chapter 6. Introduction to Command Line -- Chapter 7. NGS Data -- Chapter 8. Reference Genome -- Chapter 9. Alignment -- Chapter 10. Identification of Genetic Variants and de novo Mutations Based on NGS -- Chapter 11. Design and Analysis of RNA Sequencing Data -- Chapter 12. Design and Analysis of Epigenetics and ChIP-Sequencing Data -- APPENDIX.
Sommario/riassunto: This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires knowledge on the statistical background of the used software tools. Written for biomedical scientists and medical students, this textbook enables the end user to perform and comprehend various Next Generation Sequencing applications and their analytics without prior understanding in bioinformatics or computer sciences.
Titolo autorizzato: Next Generation Sequencing and Data Analysis  Visualizza cluster
ISBN: 3-030-62490-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483440003321
Lo trovi qui: Univ. Federico II
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Serie: Learning materials in biosciences.