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...

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Bibliographic Details
Other Authors: P.B., Kavi Kishor (Editor), Bandopadhyay, Rajib (Editor), Suravajhala, Prashanth (Editor)
Format: eBook
Language:English
Published: New Delhi Springer India 2014, 2014
Edition:1st ed. 2014
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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. BioinformaticTools 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.