Applications of bioinformatics in rice research /

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Bibliographic Details
Imprint:Singapore : Springer, [2021]
©2021
Description:1 online resource : illustrations (chiefly color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12660206
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Other authors / contributors:Gupta, Manoj Kumar, editor.
Behera, Lambodar, editor.
ISBN:9789811639975
9811639973
9789811639968
9811639965
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.
Other form:Original 9811639965 9789811639968
Standard no.:10.1007/978-981-16-3997-5