Description

This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment.
In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics.
Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.

Bioinformatics in Rice Research: Theories and Techniques

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£199.99

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Hardback by Manoj Kumar Gupta , Lambodar Behera

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This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes... Read more

    Publisher: Springer Verlag, Singapore
    Publication Date: 25/09/2021
    ISBN13: 9789811639920, 978-9811639920
    ISBN10: 9811639922

    Number of Pages: 609

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment.
    In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics.
    Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.

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