Bioinformatics for Plant Research and Crop Breeding

Jen-Tsung Chen

• Publisher: Wiley
• Year: 2024
• Print ISBN:
  9781394209934
• Edition: 1
• eBook ISBN:
  9781394209958
• Topic: Biological Sciences
• Subtopic: Biology
• Index: Biological Sciences

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.

Table of contents

• Cover
• Table of Contents
• Title Page
• Copyright Page
• List of Contributors
• Preface
• 1 Bioinformatics as a Powerful Tool to Foster Plant Science Research and Crop Breeding Through Its Involvement in a Multidisciplinary Research Activity
• 2 Bioinformatics for Molecular Breeding and Enhanced Crop Performance: Applications and Perspectives
• 3 Multi‐omics: 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 Toward 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
• Index
• End User License Agreement