Buch, Englisch, 348 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 659 g
A Practical Guide to Next Generation Sequencing Data Analysis
Buch, Englisch, 348 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 659 g
Reihe: Chapman & Hall/CRC Computational Biology Series
ISBN: 978-1-032-40891-0
Verlag: Chapman and Hall/CRC
This book contains the latest material in the subject, covering next generation sequencing (NGS) applications and meeting the requirements of a complete semester course. This book digs deep into analysis, providing both concept and practice to satisfy the exact need of researchers seeking to understand and use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics. The book does not introduce the analysis pipelines in a black box, but with detailed analysis steps to provide readers with the scientific and technical backgrounds required to enable them to conduct analysis with confidence and understanding. The book is primarily designed as a companion for researchers and graduate students using sequencing data analysis but will also serve as a textbook for teachers and students in biology and bioscience.
Zielgruppe
Postgraduate, Professional, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Naturwissenschaften Biowissenschaften Molekularbiologie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik Mathematik Stochastik
- Mathematik | Informatik EDV | Informatik Informatik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Naturwissenschaften Biowissenschaften Mikrobiologie
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
Weitere Infos & Material
1. Sequencing and Raw Sequence Data Quality Control. 2. Mapping of Sequence Reads to the Reference Genomes. 3. De Novo Genome Assembly. 4. Variant Discovery. 5. RNA-Seq Data Analysis. 6. Chromatin Immunoprecipitation Sequencing. 7. Targeted Gene Metagenomic Data Analysis. 8. Shotgun Metagenomic Data Analysis.