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The data can be accessed through the 'Microarray expression' tool at http://www.pathoplant.de/ as described earlier (13).
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PathoPlant's 'Microarray expression' online tool displays a similar functionality to the query tool described above and can be used to determine sets of genes co-regulated upon drought.
Microarray expression profiling remains a powerful tool for identifying different subtypes of cancers.
Moreover, the integration of the results of QTL fine-mapping with microarray expression data offers a promising tool for understanding the genetic mechanisms influencing complex traits.
The tool uses microarray expression data from the PathoPlant database to calculate mean induction factors for gene sets that contain a submitted sequence within their promoters.
Microarray expression studies are excellent screening tools to generate hypotheses about additional molecular processes that may be at play.
Microarray expression profiling has become a valuable tool in the evaluation of the genetic consequences of metabolic disease.
EMMA is a tool that analyses microarray expression data and stores it in a MIAME compliant way [ 39].
In addition to microarray expression profiles, many text mining based tools and biological systems have been successfully developed to connect and prioritize genes, diseases and drugs.
Hierarchical clustering analysis has been one of the most successful tools for displaying microarray expression data.
When coupled with a microarray expression database and data analysis and viewing tools, these data can serve as a foundation for proposing hypotheses and performing dedicated research.
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