- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
This book covers information on bioinformatics tools along with their applications in predictive ecology and fisheries. With the generation of large molecular biological data, the analytical techniques have also undergone recent advancements. Novel algorithms that are specialized to deal with data associated with biological phenomenon, such as gene expression and protein interactions, have been generated. Ecological data analysis has also adopted these advanced bioinformatic tools for a more explorative approach. This book identifies and explains these advanced technologies. It also focuses on the development of models that identify functionally equivalent species in different fish communities to predict functional collapse. Each section of the book is detailed with practical information, step-by-step procedures and relevant illustrations.
This book is a resource for professionals and researchers working in the field of fisheries and bioinformatics.
Contents
.- 1. Genomics in Fisheries and Aquaculture.
.- 2. Advanced Bioinformatics Techniques for Ecosystem Monitoring.
.- 3. Machine Learning Application in Aquatic Health Prediction.
.- 4. Comparative Genomics for Aquaculture Improvement.
.- 5. RNA-Seq Analysis in Aquatic Organisms
.- 6. Innovations in CRISPR Technology for Aquaculture and Fisheries
.- 7. Environmental RNA: A Molecular Revolution in Ecological Surveillance and Biodiversity Monitoring
.- 8. Proteomics in Fish Health and Aquaculture
.- 9. Application of Metagenomic tools in aquatic virology
.- 10. Bioinformatics Tools for Aquaculture Disease Management
.- 11. Integrative Approaches to Aquatic Toxicology Using Bioinformatics
.- 12. Exploring Marine Microorganisms for Enhancing Aquaculture Sustainability
.- 13. Genomic Tools for Fish Breeding Programs
.- 14. Next-Generation Sequencing Data Analysis in Fisheries Research
.- 15. Bioinformatics and Big Data in Marine Conservation
.- 16. Functional Genomics in Fish Immunology
.- 17. Genetic Marker Development for Aquaculture Species
.- 18. Predictive Modeling in Aquatic Ecosystems Using Bioinformatics
.- 19. Ethical and Legal Considerations in Aquatic Genomics Research
.- 20. Future Trends in Bioinformatics for Aquatic Sciences
.- 21. Empowering Fisheries with AI, ML, and Deep Learning: A Big Data Approach
.- 22. Tools and techniques in bioinformatics research
.- 23. Scope of Molecular Modeling in Aquatic Animal Health Management
.- 24. Bioinformatics in aquatic animal health management- Recent advances and applications
.- 25. Advances in Shrimp Infectious Disease Research: The Role of Next-Generation Sequencing.