Applications of Bioinformatics in Rice Research
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Summarizes bioinformatics tools for analyzing the metabolomics, polyploidy genome, and extra-chromosomal genome in rice Highlights the use of artificial intelligence and machine learning in rice research Discusses the applications of genome editing using CRISPR-Cas 9 in rice breeding
Autor*in
Manoj Kumar Gupta
Themen in »Applications of Bioinformatics in Rice Research«
Bioinformatics Rice High throughput sequencing Algorithms Machine learning