Agricultural Bioinformatics
A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New Delhi :
Springer India : Imprint: Springer,
2014.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 1. Preface
- 2. Foreword
- 3.Association Mapping – A new Paradigm for Dissection of Complex traits in crops
- 4. The silent Assassins – Informatics of plant Viral Silencing Suppressors.5. Tackling the Heat Stress Tolerance in crop Plants: a Bioinformatics Approach
- 6. Comparative Genomics of Cereal Crops: Status and Future Prospects
- 7. A Comprehensive Overview on Application of Bioinformatics and Computational Statistics in Rice Genomics Towards an Amalgamated Approach for Improving Acquaintance Base
- 8. Contribution of Bioinformatics to Gene Discovery in Salt Stress Responses in Plants
- 9. Peanut Bioinformatics: Tools and Applications for Developing more Effective Immunotherapies for Peanut Allergy and Improving Food Safety
- 10. Plant MicroRNAs - An Overview
- 11. ESTs in plants: Where are we heading?
- 12. Bioinformatics Strategies Associated with Important Ethnic Medicinal Plants
- 13. Mining Knowledge from Omics Data
- 14. Cloud Computing in Agriculture
- 15. Bioinformatic Tools in the Analysis of Determinants of Pathogenicity and Ecology of Entomopathogenic Fungi used as Microbial Insecticides in Crop Protection
- 16. Exploring the Genomes of Symbiotic Diazotrophs with Relevance to Biological Nitrogen Fixation
- 17. Plant-Microbial Interaction: A Dialogue between two Dynamic Bioentities
- 18. Machine Learning with Special Emphasis on Support Vector Machines (SVMs) in Systems Biology: A Plant Perspective
- 19. Xanthine Derivatives: A molecular Modeling perspective. .