水稻基因网络分析(英文版)(pdf 32页)

水稻基因网络分析目录：
一、FOOTNOTES
二、ABSTRACT
三、RESULTS
四、DISCUSSION
五、CONCLUSION
六、MATERIALS AND METHODS
七、LITERATURE CITED
八、FIGURE LEGENDS
九、TABLES

 

水稻基因网络分析内容提要：
Discovering gene sets underlying expression of a given phenotype is of great importance as many phenotypes are the result of complex gene-gene interactions. Gene co-expression networks, built using a set of microarray samples as input, can help elucidate tightly co-expressed gene sets  modules) which are mixed with genes of known and unknown function. Functional enrichment analysis of modules further subdivides the co-expressed gene set into co-functional gene clusters that may co-exist in the module with other functionally related gene clusters. In this study, 45 co-expressed gene modules and 76 cofunctional gene clusters were discovered for Oryza sativa (rice), using a global, knowledge-independent paradigm and the combination of two network construction methodologies. Some clusters were enriched for previously characterized mutant phenotypes, providing evidence for specific gene sets (and their annotated molecular functions) that underlie specific phenotypes.

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