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Next-Generation Sequencing Data Analysis cover

Next-Generation Sequencing Data Analysis

by Xinkun Wang

2nd Edition

Publisher: CRC Press

(0 reviews)
Bioinformatics

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Book Details

Print ISBN9780367349899
eText ISBN9781000897234
PublisherCRC Press
Publishing Year2023
Edition2nd Edition
LanguageEnglish
Pages434

Next-Generation Sequencing Data Analysis (2nd Edition) provides a clear, structured guide to processing and interpreting modern high-throughput biological data. Published by CRC Press, this textbook equips bioinformaticians, biostatisticians, data scientists, and life sciences practitioners with the analytical methodologies required to direct sequencing projects.

The content outlines a practical end-to-end framework starting with early experimental design, sample processing requirements, and sequencing strategy formulation. Readers progress through early-stage data processing routines, covering read quality control assessment, data preprocessing protocols, and alignment procedures including read mapping or de novo sequence assembly.

To support modern sequencing workflows, the text embeds long-read sequencing coverage across its core analytical sections. By anchoring technical procedures in open-source software tools that are freely available, this resource provides an accessible foundation for upper-level bioinformatics instruction and independent laboratory study.

Table of Contents

  1. Chapter 1: The Cellular System and The Code of Life

  2. Chapter 2: DNA Sequence: the Genome Base

  3. Chapter 3: RNA: the Transcribed Sequence

  4. Chapter 4: Next-Generation Sequencing (NGS) Technologies: Ins and Outs

  5. Chapter 5: Early-Stage Next-Generation Sequencing (NGS) Data Analysis: Common Steps

  6. Chapter 6: Computing Needs for Next-Generation Sequencing (NGS) Data Management and Analysis

  7. Chapter 7: Transcriptomics by Bulk RNA-Seq

  8. Chapter 8: Transcriptomics by Single Cell RNA-Seq

  9. Chapter 9: Small RNA Sequencing

  10. Chapter 10: Genotyping and Variation Discovery by Whole Genome/Exome Sequencing

  11. Chapter 11: Clinical Sequencing and Detection of Actionable Variants

  12. Chapter 12: De Novo Genome Assembly with Long and/or Short Reads

  13. Chapter 13: Mapping Protein-DNA Interactions with ChIP-Seq

  14. Chapter 14: Epigenomics by DNA Methylation Sequencing

  15. Chapter 15: Whole Metagenome Sequencing for Microbial Community Analysis

  16. Chapter 16: What’s Next for Next-Generation Sequencing (NGS)?

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  • Next-Generation Sequencing Data Analysis - 2nd Edition - Routledge
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