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Applications of Bioinformatics in Rice Research / edited by Manoj Kumar Gupta, Lambodar Behera.

SpringerLink Books Biomedical and Life Sciences 2021 Available online

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Format:
Book
Contributor:
Gupta, Manoj Kumar, editor.
Behera, Lambodar, editor.
Series:
Biomedical and Life Sciences Series
Language:
English
Subjects (All):
Bioinformatics.
Genomics.
Botany.
Computational and Systems Biology.
Plant Science.
Local Subjects:
Computational and Systems Biology.
Genomics.
Plant Science.
Physical Description:
1 online resource (363 pages)
Edition:
1st ed. 2021.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Summary:
This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It also discusses the tools for analyzing metabolomics, identifying complex polyploidy genomes, and decoding the extrachromosomal genome in rice. Further, the book highlights the application of CRISPR-Cas technology and methods for understanding the evolutionary development and the de novo evolution of genes in rice. Lastly, it discusses the role of artificial intelligence and machine learning in rice research and computational tools to analyze plant-pathogen co-evolution in rice crops.
Contents:
Chapter-1 Possibility of Uncoding Structural Organization of Genome in Rice: Prospects and Approaches By 3D Genome Sequencing
Chapter-2 Bioinformatics Approaches for High Density Linkage Mapping in Rice Research
Chapter-3 Quantitative Trait Locus Mapping in Rice
Chapter-4 Metabolomics in Rice Improvement
Chapter-5 Computational Approaches Towards Decoding the Extra Chromosomal Genome of Rice
Chapter-6 Computational Epigenetics in Rice Research
Chapter-7 Computational Approaches Towards Understanding Stress in Rice
Chapter-8 Identifying Complex Polyploidy Genomes Using Bioinformatics Approaches
Chapter-9 Perspectives and Challenges of Phenotyping in Rice
Chapter-10 The CRISPR Technology and Application in Rice
Chapter-11 De Novo Evolution of Genes in Rice
Chapter-12 Artificial intelligence and machine learning in rice research
Chapter-13 Intellectual Property and Rice Research
Chapter-14 Plant Pathogen Co-Evolution in Rice
Chapter-15 Conservation of Rice Germplasm by Bioinformatics Strategy
Chapter-16 Recent Advances in Multi-Omics and Breeding Approaches Towards Drought Tolerance in Crops.
Notes:
Includes bibliographical references.
ISBN:
981-16-3997-3
OCLC:
1269481219

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