Bioinformatics in Rice Research

Beschreibung

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.

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.
Discusses recent developments in the field of bioinformatics for rice genome analysis Consolidates tools for the prediction of RNA, protein structures, and functions Highlights tools used to identify non-coding RNA and their role in rice research Summarizes the role of high-throughput techniques in rice genetics, genomics, and breeding

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Manoj Kumar Gupta

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Bioinformatics Rice High throughput sequencing Algorithms Machine learning

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