Extracting Information from Gene Coexpression Networks of Rhizobium leguminosarum .

Journal of Computational Biology(2022)

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摘要
Nitrogen uptake in legumes is facilitated by bacteria such as . For this bacterium, gene expression data are available, but functional gene annotation is less well developed than for other model organisms. More annotations could lead to a better understanding of the pathways for growth, plant colonization, and nitrogen fixation in . In this study, we present a pipeline that combines novel scores from gene coexpression network analysis in a principled way to identify the genes that are associated with certain growth conditions or highly coexpressed with a predefined set of genes of interest. This association may lead to putative functional annotation or to a prioritized list of genes for further study.
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关键词
Rhizobium leguminosarum,functional annotation,gene co-expression network analysis
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