Bioinformatics: A Practical Guide to Next Generation Sequencing Data Analysis
 
Product details:

ISBN13:9781032408910
ISBN10:103240891X
Binding:Paperback
No. of pages:348 pages
Size:254x178 mm
Weight:1600 g
Language:English
Illustrations: 96 Illustrations, black & white; 73 Illustrations, color; 96 Halftones, black & white; 73 Halftones, color; 16 Tables, black & white
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Bioinformatics

A Practical Guide to Next Generation Sequencing Data Analysis
 
Edition number: 1
Publisher: Chapman and Hall
Date of Publication:
 
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Short description:

This book contains the latest material in the subject, covering NGS applications and meeting the requirements of a complete semester course. This book provides both concept and practice to satisfy the exact need of researchers seeking to use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics.

Long description:

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.

Table of Contents:

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.