Genome Analysis

Principles and Methods

Dev Bukhsh Singh, Timir Tripathi

• Publisher: Academic Press
• Year: 2025
• Topic: Biological Sciences
• eBook ISBN:
  9780443219818
• Subtopic: Biochemistry
• Index: Biological Sciences

Genome Analysis: Principles and Methods provides recent and advanced information about genome analysis approaches and techniques to study and annotate the structure and function of the genome. It is a compendium of important topics such as NGS analysis, genome fragmentation and assembly, metagenomics, cloning and expression, physical marker analysis, transcriptome data analysis, sequence alignment and comparison, evolutionary analysis, SNP analysis, genome-based disease diagnosis and therapies, micro-RNAs, pharmacogenomics, genetic approaches to disease intervention, and challenges with opportunities in genome analysis and genomics, etc.The latest developments in the field are discussed, and key concepts are introduced to ensure readers understand advanced concepts and methodologies in the area. The book serves as a valuable guide to the present, emerging, and evolving research methodologies in the field. - Contains chapters written by leading global experts actively engaged in their respective research topic - Provides a wide-ranging collection of 24 chapters related to the field of genomics and genome analysis - Presents a broad picture of current, emerging, and evolving advances and applications of genomics

Table of contents

• Cover image
• Title page
• Copyright
• Table of Contents
• Contributors
• Preface
• CHAPTER 1 Introduction to genome analysis and genomics
• CHAPTER 2 Genome complexity and genome organization
• CHAPTER 3 Databases for genome and genomic information
• CHAPTER 4 Recent techniques and strategies for sequencing
• CHAPTER 5 Gene cloning and protein expression systems
• CHAPTER 6 Physical markers and related techniques for marker development
• CHAPTER 7 Gene expression analysis
• CHAPTER 8 Advances in transcriptomics data analysis
• CHAPTER 9 Metagenomics: Concepts and scope
• CHAPTER 10 Sequence alignment and comparison tools
• CHAPTER 11 Gene prediction approaches
• CHAPTER 12 Single nucleotide polymorphism analysis and related genetic disorders
• CHAPTER 13 Genome annotation approaches
• CHAPTER 14 Genome sequencing projects and major outcomes
• CHAPTER 15 Human genome project and current status
• CHAPTER 16 Micro-RNA prediction tools and target analysis
• CHAPTER 17 Mechanisms for genetic variations
• CHAPTER 18 Genome-based approaches for disease diagnosis
• Index