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Titlebook: Applications of Bioinformatics in Rice Research; Manoj Kumar Gupta,Lambodar Behera Book 2021 The Editor(s) (if applicable) and The Author(

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樓主
發(fā)表于 2025-3-21 17:59:54 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applications of Bioinformatics in Rice Research
影響因子2023Manoj Kumar Gupta,Lambodar Behera
視頻videohttp://file.papertrans.cn/160/159309/159309.mp4
發(fā)行地址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 resea
圖書封面Titlebook: Applications of Bioinformatics in Rice Research;  Manoj Kumar Gupta,Lambodar Behera Book 2021 The Editor(s) (if applicable) and The Author(
影響因子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..
Pindex Book 2021
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發(fā)表于 2025-3-21 21:47:50 | 只看該作者
https://doi.org/10.1007/978-3-322-91773-7le to detect genes and improvement of crops through genetic engineering and editing or repairing. Various stress resistances, such as herbicide resistance plants, are developed through the decoding of extrachromosomal DNA (eccDNA) in rice.
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Nichtstationarit?t und Kointegrational aspects. It could help increase the quality of rice and screening of the best quality of germplasm for conservation and prospects regarding rice research. All the bioinformatics analytical tools and characterization aspects together could be helpful to achieve a new era in rice research and quality agriculture.
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