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Genome Analysis: Principles and Methods

Editat de Dev Bukhsh Singh, Timir Tripathi
en Limba Engleză Paperback – apr 2025
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
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Specificații

ISBN-13: 9780443219801
ISBN-10: 044321980X
Pagini: 450
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE

Cuprins

1. Introduction to Genome Analysis and Genomics Approaches 2. Genome Complexity and Genome Organization 3. Databases for Genome and Genomic Information 4. Recent Techniques and Strategies for Large-Scale Sequencing 5. Techniques for NGS Data Analysis 6. Genome Fragmentation and Separation Strategies 7. Gene Cloning and Expression Systems 8. Physical Markers and Related Techniques for Marker Development 9. Gene Expression Analysis 10. Computational Approaches for Transcriptome Data Analysis 11. Metagenomics Approaches 12. Sequence Alignment and Comparison Tools 13. Approaches and Tools for Evolutionary Analysis 14. Gene Prediction Approaches 15. SNP Analysis and Related Genetic Disorders 16. Genome Annotation approaches 17. Genome Sequencing Projects and Major Outcomes 18. Human Genome Project and Current Status 19. Comparative Genomics and related Approaches 20. Micro-RNA Prediction Tools and Target Analysis 21. Pharmacogenomics: Current Status and Future Strategies 22. Mechanisms for Genetic Variations 23. Approaches for Genome-based Disease Diagnosis 24. Genetic Approaches to Disease Intervention 25. Challenges and Opportunities in Genome and Genomics Analysis