Intro
Foreword
Preface
Contents
About the Editors
Chapter 1: Proteoinformatics and Agricultural Biotechnology Research: Applications and Challenges
1.1 Introduction
1.2 Proteoinformatics in Plant Disease Management
1.3 Proteoinformatic Databases and Tools
1.4 Protein-Protein Interaction Software and Database
1.5 Proteoinformatics of Edible Mushroom
1.6 Proteoinformatics of Animal Breeding Programs
1.7 Conclusion
References
Chapter 2: Impact of Bioinformatics on Plant Science Research and Crop Improvement
2.1 Introduction
2.2 Role of Bioinformatics in Crop Improvement 2.3 Crop Breeding: Bioinformatics and Preparing for Climate Change2.3.1 Informative Bioinformatics Databases/Tools for Crop Breeders
2.4 Application of Bioinformatics in Fruit Breeding
2.5 Future Prospects
References
Chapter 3: Bioinformatics and Plant Stress Management
3.1 Introduction
3.2 Plant Genomics-Related Computational Tools and Databases Under Abiotic Stress
3.2.1 Genomics Applications in Relation to Abiotic Stress Tolerance
3.2.2 Platforms and Resources in the Transcriptome of Plants Under Abiotic Stress/Plant Transcriptomics-Related Computational Tools and Databases 3.2.3 Platforms and Resources in Proteomic of Plants Under Abiotic Stress/Plant Proteomics-Related Computational Tools and Databases3.2.4 Platforms and Resources in Metabolomics of Plants Under Abiotic Stress/Plant Metabolomics-Related Computational Tools and Databases
3.2.5 Micro RNAs: Attributes in Plant Abiotic Stress Responses and Bioinformatics Approaches on MicroRNA
3.3 Role of Bioinformatics in Plant Disease Management
3.4 Conclusion and Future Prospects
References
Chapter 4: Integration of "Omic" Approaches to Unravel the Heavy Metal Tolerance in Plants
4.1 Introduction 4.2 Approaches to Study Plant Responses to Stress4.3 How Functional Genomics Play a Role to Combat Abiotic Stress in Plants
4.4 Proteomic Tools to Study Heavy Metal Stress in Plants
4.5 How Bioinformatics Softwares Play a Lead Role to Study Proteome Maps
4.6 Image Analysis Software
4.7 Mass Spectrometry Analysis Software in Proteomics
4.8 Conclusion and Future Perspective
References
Chapter 5: Advanced Multivariate and Computational Approaches in Agricultural Studies
5.1 Introduction
5.2 Methodology
5.3 Ordination Analyzes
5.4 Correlograms, Heatmaps, and Scatterplot Matrix 5.5 Violin and Box Plot5.6 Chord Diagram and Bipartite Networks
5.7 Hierarchical Clustering
5.8 Final Remarks
References
Chapter 6: Data Measurement, Data Redundancy, and Their Biological Relevance
6.1 Introduction
6.2 Database Annotation Quality
6.3 Database Redundancy
6.4 Genomes: Diversity, Size, and Structure
6.5 Gene Content in Genomes
6.6 Protein and Proteomics
6.7 Protein Length, Distribution, and Function
6.8 Conclusions and Future Prospects
References
Chapter 7: Metabolomic Approaches in Plant Research
7.1 Introduction
7.2 Plant Metabolites and Their Types