Next Generation Sequencing and Data Analysis / edited by Melanie Kappelmann-Fenzl
Colaborador(es): Kappelmann-Fenzl, Melanie, editor. .
Tipo de material:
E-bookSeries Editor: Cham : Springer International Publishing Imprint: Springer, 2021Edición: 1st ed. 2021.Descripción: 1 online resource (XII, 218 p. 54 illus., 51 illus. in color.ISBN: 3030624900.Tema: Genetics | Bioinformatics | Medicine | Genetics and Genomics | Bioinformatics | Biomedicine, generalClasificación CDD: 576.5 Recursos en línea: Acceso a este recurso digital (usuarios Universidad Europea de Valencia)
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| PN6790 .A7 V53 2022 El viaje / | H1 .S24 SAGE Premier | BF713 .P37518 2012 Desarrollo Humano | QH441 .K37 2021 EB Next Generation Sequencing and Data Analysis | QD251.2 .S49 2008 EB Química orgánica: Estructura y reactividad. Vol.2 | QD251.2 .S49 2008 EB Química orgánica: Estructura y reactividad. Vol.1 | 3 iPads Valencia |
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
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
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