Bioinformatics for Plant Research and Crop Breeding
1. Auflage Oktober 2024
608 Seiten, Hardcover
Wiley & Sons Ltd
Explore and advance bioinformatics and systems biology tools for crop breeding programs in this practical resource for researchers
Plant biology and crop breeding have produced an immense amount of data in recent years, from genomics to interactome and beyond. Bioinformatics tools, which aim at analyzing the vast quantities of data produced by biological research and processes, have developed at a rapid pace to meet the challenges of this vast data trove. The resulting field of bioinformatics and systems biology is producing increasingly rich and transformative research.
Bioinformatics for Plant Research and Crop Breeding offers an overview of this field, its recent advances, and its wider applications. Drawing on a range of analytical and data-science tools, its foundation on an in-silico platform acquired multi-omics makes it indispensable for scientists and researchers alike. It promises to become ever more relevant as new techniques for generating and organizing data continue to transform the field.
Bioinformatics for Plant Research and Crop Breeding readers will also find:
* A focus on emerging trends in plant science, sustainable agriculture, and global food security
* Detailed discussion of topics including plant diversity, plant stresses, nanotechnology in agriculture, and many others
* Applications incorporating artificial intelligence, machine learning, deep learning and more
Bioinformatics for Plant Research and Crop Breeding is ideal for researchers and scientists interested in the potential of OMICs, and bioinformatic tools to aid and develop crop improvement programs.
2. Bioinformatics for Molecular Breeding and Enhanced Crop Performance: Applications and Perspectives
3. Multiomics: An Advanced Bioinformatics Approach for Crop Improvement in Agriculture
4. Genetic Mapping of Valued Genes with Significant Traits in Crop Plants: Basic Principles, Current Practices and Future Perspectives
5. Basic Bioinformatics for Identification and Analysis of Candidate Genes in Plants towards Crop Improvement
6. Exploring Machine Learning Algorithms for Gene Function Prediction in Crops
7. Omics and Bioinformatics Approaches for Abiotic Stress Tolerance in Plants
8. Bioinformatics Approaches for Unraveling the Complexities of Plant Stress Physiology
9. Bioinformatics Tools for Assessing Drought Stress Tolerance in Crops
10. Bioinformatics Tools and Resources for Plant Transcriptomics: Challenges and Opportunities
11. Development of a Core Set from Large Germplasm Collections in Genebank
12. Bioinformatics Approaches to Determine Plant microRNA Targets
13. Machine Learning for the Discovery of DNA-binding Proteins in Plants
14. Bioinformatics for Gene Identification and Crop Improvement in Wheat
15. Bioinformatics for Analyzing the Role of Epigenetics in Plant Disease Resistance
16. The Evolution of Auxin-binding Protein 1
17. Exploring the Potential of Molecular Docking and In Silico Studies in Secondary Metabolite and Bioactive Compound Discovery for Plant Research
18. Exploring Secondary Metabolites in Plants through Bioinformatics
19. Understanding Plant Secondary Metabolism using Bioinformatics Tools: Recent Advances and Prospects
20. An Appraisal of Flavonoids through Bioinformatics
21. Golden Opportunities: Harnessing Bioinformatics to Revolutionize Plant Research and Unleash the Power of Golden Rice in Crop Breeding
22. Going Wild: Genomics of Forest Plants and the Future of Crop Improvement
