Description

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.

Applications of Bioinformatics in Rice Research

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Hardback by Manoj Kumar Gupta , Lambodar Behera

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This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It... Read more

    Publisher: Springer Verlag, Singapore
    Publication Date: 25/09/2021
    ISBN13: 9789811639968, 978-9811639968
    ISBN10: 9811639965

    Number of Pages: 359

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    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.

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