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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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Instrumente und Methoden der Wahlforschung,gulates economic traits such as grain size, weight, and others linked to grain yield or quality. Specific novel genes, also called orphan genes, were used to detect these orphan genes and their expression pattern in rice development. This certain evolution of genes helps to study the expression patt
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Nichtstationarität und Kointegrationieve that the process of co-evolution between plants and the biota that surrounds them, which includes mammals, viruses, fungus, bacteria, insects, and nematodes, is responsible for most of the earth’s biological variety. While most of the debate around plant co-evolution focuses on one host–one pat
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Nichtstationarität und Kointegrationlant cells. The implementation of multi-omics and improved breeding strategies is a dynamic step towards drought tolerance in crop plants. The identification of several drought-responsive genes, differentially expressed transcripts, proteins, metabolites, and miRNAs associated with drought responses
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Metabolomics in Rice Improvementotype and phenotype of an organism. Metabolomics is like other “omics” technologies and can handle large-scale, complex, and dynamic databases. As a result, various data processing techniques are needed to retrieve biologically relevant knowledge from a living organism. Those data processing workflo
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