The book 'Bioinformatics in Agriculture and Allied Sectors: Methods and Applications' by P.N. Jagadev and Sashikala Beura serves as an invaluable resource for professionals in the field of agricultural biotechnology, bioinformatics, computer science, and applied statistics. This hardback covers a wide range of topics, providing a detailed discussion on various bioinformatics tools and their applications across multiple domains such as agriculture, aquaculture, and molecular biology. The text encompasses vital areas including protein structure prediction, gene expression analysis, systems biology, and the development of databases and tools relevant to bioinformatics. The book emphasizes innovative methods, from artificial neural networks for predicting amino acid levels to molecular modeling techniques, making it a comprehensive guide for advancing knowledge and practices within these sectors. Scholars and practitioners will find insights into the application of bioinformatics in enhancing agricultural productivity, addressing environmental challenges, and improving biotic stress resistance in plants. This book equips readers with both theoretical foundations and practical insights necessary for navigating the evolving landscape of bioinformatics in agriculture and allied fields.
Key Features
| Features | Description |
|---|---|
| Comprehensive Overview | Offers an exhaustive examination of bioinformatics tools in agriculture and related domains. |
| Applications in Multiple Disciplines | Covers areas such as aquaculture, structural bioinformatics, and protein structure prediction. |
| Focus on Innovative Methods | Discusses cutting-edge methodologies, including artificial neural networks and in-silico approaches. |
| Expert Contributions | Written by leading experts and practitioners in the field. |
| Value for Diverse Professionals | Aimed at agricultural biotechnologists, bioinformaticians, and computational biologists. |
| Attributes | Description |
|---|---|
| Authors | P.N. Jagadev & Sashikala Beura |
| Format | Hardback |
| Key Topics | Bioinformatics tools, agriculture, aquaculture, systems biology, protein structure, medicinal plants, gene expression. |
| ISBN | 978-XXXX-XXXX-X (example) |
| Publication Year | 2022 |
| Pages | XX (example) |
| Target Audience | Professionals in agriculture, biotechnology, bioinformatics, and applied statistics. |
Key Words
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Brand: NIPA
Country of Origin: India
"The book provides a comprehensive overview of the various tools and applications of bioinformatics in several fields, including agriculture, corals, structural bioinformatics, data-mining, text-mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenic location of the Indian Liver Fluke, rough sets to predict protein structural class, artificial neural networks for prediction of amino acids levels, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, fresh aquaculture and fisheries, pesticides and insecticides, databases and tools development in the relevant area. The book would be of great value to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.
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"The book provides a comprehensive overview of the various tools and applications of bioinformatics in several fields, including agriculture, corals, structural bioinformatics, data-mining, text-mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenic location of the Indian Liver Fluke, rough sets to predict protein structural class, artificial neural networks for prediction of amino acids levels, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, fresh aquaculture and fisheries, pesticides and insecticides, databases and tools development in the relevant area. The book would be of great value to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.
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Content
"1. Bioinformatics and Its Relevance 2. Bioinformatics in Agriculture and Allied Sectors 3. Soil Informatics of Odisha 4. Use of Bioinformatics Tools and Techniques in Agriculture 5. Proteomics in Crop Improvement for Drought Tolerance 6. Gene Silencing for Biotic Stress in Plants 7. Biotechnology in Horticulture 8. Multivariate and Numerical Taxonomic Analyses for Agricultural Productivity 9. Role of Bioinformatics in Plant Pathological Applications 10. Informatics Tools for Conservation and Utilization of Biological Resources with Special Reference to Agro Bio-diversity 11. Application of Bioinformatics in Aquaculture Bioinformatics in Agriculture and Allied Sectors 12. Concepts in Development of Bioinformatics Towards Systems Biology 13. Nanotechnology in Bioinformatics 14. Use of Biosensors in Bioinformatics 15. Application of Statistics in Bioinformatics 16. Algorithms in Sequence Alignment 17. Sequence Analysis Phylogenetic Predictions 18. Finding Regulatory Motifs in DNA Sequences 19. Algorithms and Tools for Sequence Alignment 20. Application of Artificial Neural Network in Biological Research 21. Homology Modeling using Modeller 9v6 22. Evolutionary Perspective of Codon Usage Analysis in Human Disease Genes 23. Bioinformatics Tools for New Drug Designing and Development 24. In Silico Drug Designing 25. Avian flu and Vaccine Design 26. Earthquake Resistant Design of Agricultural Structures by Use of Software
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