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.
1. Chapter 1 Introduction to genome analysis and genomics - p. 1 2. Chapter 2 Genome complexity and genome organization - p. 45 3. Chapter 3 Databases for genome and genomic information - p. 73 4. Chapter 4 Recent techniques and strategies for sequencing - p. 109 5. Chapter 5 Gene cloning and protein expression systems - p. 147 6. Chapter 6 Physical markers and related techniques for marker development - p. 183 7. Chapter 7 Gene expression analysis - p. 203 8. Chapter 8 Advances in transcriptomics data analysis - p. 227 9. Chapter 9 Metagenomics: Concepts and scope - p. 253 10. Chapter 10 Sequence alignment and comparison tools - p. 311 11. Chapter 11 Gene prediction approaches - p. 343 12. Chapter 12 Single nucleotide polymorphism analysis and related genetic disorders - p. 369 13. Chapter 13 Genome annotation approaches - p. 391 14. Chapter 14 Genome sequencing projects and major outcomes - p. 423 15. Chapter 15 Human genome project and current status - p. 453 16. Chapter 16 Micro-RNA prediction tools and target analysis - p. 483 17. Chapter 17 Mechanisms for genetic variations - p. 517 18. Chapter 18 Genome-based approaches for disease diagnosis - p. 543 19. Index - p. 569
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.
1. Chapter 1 Introduction to genome analysis and genomics - p. 1 2. Chapter 2 Genome complexity and genome organization - p. 45 3. Chapter 3 Databases for genome and genomic information - p. 73 4. Chapter 4 Recent techniques and strategies for sequencing - p. 109 5. Chapter 5 Gene cloning and protein expression systems - p. 147 6. Chapter 6 Physical markers and related techniques for marker development - p. 183 7. Chapter 7 Gene expression analysis - p. 203 8. Chapter 8 Advances in transcriptomics data analysis - p. 227 9. Chapter 9 Metagenomics: Concepts and scope - p. 253 10. Chapter 10 Sequence alignment and comparison tools - p. 311 11. Chapter 11 Gene prediction approaches - p. 343 12. Chapter 12 Single nucleotide polymorphism analysis and related genetic disorders - p. 369 13. Chapter 13 Genome annotation approaches - p. 391 14. Chapter 14 Genome sequencing projects and major outcomes - p. 423 15. Chapter 15 Human genome project and current status - p. 453 16. Chapter 16 Micro-RNA prediction tools and target analysis - p. 483 17. Chapter 17 Mechanisms for genetic variations - p. 517 18. Chapter 18 Genome-based approaches for disease diagnosis - p. 543 19. Index - p. 569
