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Informationen zum Autor Jen-Tsung Chen, PhD, is currently a professor at the National University of Kaohsiung in Taiwan. His research interests include bioactive compounds, chromatography techniques, in vitro culture, medicinal plants, phytochemicals, plant physiology, and plant biotechnology. Klappentext 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 othersApplications 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. Inhaltsverzeichnis List of Contributors xxi Preface xxvii 1 Bioinformatics as a Powerful Tool to Foster Plant Science Research and Crop Breeding Through Its Involvement in a Multidisciplinary Research Activity 1 Jemaa Essemine, Zhan Xu, Jen-Tsung Chen, and Mingnan Qu 1.1 Introduction 1 1.2 Bioinformatics as a Powerful Tool for Big Data Analysis in Plant Science 3 1.3 Role of Bioinformatics in Trait Mapping 3 1.4 Bioinformatics in Molecular Biology 3 1.5 Role of Bioinformatics in Genetic Variation 4 1.6 Bioinformatics in Genome-wide Association Studies (GWAS) 4 1.7 Implication of Bioinformatics in "Omics" 5 1.8 Bioinformatics in Computational Biology and Evolutionary Studies 5 1.9 Role of Bioinformatics in Transcriptomics 6 1.10 Implication of Bioinformatics in Next-generation Sequencing (NGS) Analysis 6 1.11 Implication of Bioinformatics in Metabolomics 7 1.12 Bioinformatics and Epigenetics 8 1.13 Involvement of Bioinformatics in Synthetic Biology 9 1.14 How Can Bioinformatics Promote Plant Biotechnology? 9 1.15 Bioinformatics Use in Biotic and Abiotic Stress Management 10 1.16 Bioinformatics for the Investigation of Plant Resistance to Pathogens 11 1.17 Bioinformatics in Crop Breeding and Improvement 12 1.18 Bioinformatics Impacts on Plant Science 13 1.19 Application of Bioinformatics in Plant Breeding Programs 13 1.20 Conclusion 14 References 15 2 Bioinformatics for Molecular Breeding and Enhanced Crop Performance: Applications and Perspectives 21 Rahul Lahu Chavhan, Vidya Ramesh Hinge, Dipti Jayvantrao Wankhade, Abhijeet Subhash Deshmukh, Nagrani Mahajan, and Ulhas Sopanrao Kadam 2.1 Introduction 21 2.2 Data Management and Integration 22 2.3 Genomic Resources for Plant Breeding 26 2.4 Application of Bioinformatics, Genomics, and Proteomics...
