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)
| Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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LIBRO-E NO PRÉSTAMO
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Alameda | QH441 .K37 2021 EB (Navegar estantería(Abre debajo)) | No para préstamo |
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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