Journal
CURRENT OPINION IN BIOTECHNOLOGY
Volume 24, Issue 2, Pages 285-290Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2012.10.018
Keywords
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Funding
- Ministry of Education, Culture, Sports, Science and Technology of Japan
- Grants-in-Aid for Scientific Research [23700355] Funding Source: KAKEN
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The massive data generated by omics technologies require the power of bioinformatics, especially network analysis, for data mining and doing data-driven biology. Gene coexpression analysis, a network approach based on comprehensive gene expression data using microarrays, is becoming a standard tool for predicting gene function and elucidating the relationship between metabolic pathways. Differential and comparative gene coexpression analyses suggest a change in coexpression relationships and regulators controlling common and/or specific biological processes. In conjunction with the newly emerging genome editing technology, network analysis integrated with other omics data should pave the way for robust and practical plant metabolic engineering.
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