Applications of Bioinformatics in Rice Research
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 boo...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2021, 2021
|
| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of 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