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Our combined approach of utilizing a temporal, photic and pharmacological microarray experiment allowed us to identify novel genes linking clock input to clock function within the pineal.
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Microarray experiment allows interrogation of tens of thousands of genes simultaneously.
Classification of large volumes of data produced in a microarray experiment allows for the extraction of important clues as to the nature of a disease.
Microarray experiments allow description of genome-wide expression changes in health and disease.
Consequently, microarray experiments allow for rough and mostly indirect assumptions.
Microarray experiments allow for measurements and comparisons of gene expression within a sample as well as between multiple samples.
Microarray experiments allow the interrogation of tens of thousands of transcripts simultaneously and thus, the identification of plant pathways is likely to be involved in plant resistance to Fusarial pathogens.
This previous work demonstrated that molecular (or gene) signatures obtained from microarray experiments allow a better characterisation of the pathology than the current clinical scheme based on histopathological classification (Nutt et al, 2003; Freije et al, 2004; Phillips et al, 2006).
This format of visualization facilitates omics data integration (e.g., transcriptome data from the microarray experiment) to allow the researchers to easily outline a new hypothesis regarding the regulation of the starch biosynthesis process.
Our microarray experiments also allowed us to demonstrate the use of DNA circuit probes for both multiplexed and reiterative marker labeling.
This type of reference provides a standard for reducing variation in microarray experiments and allows more reliable comparison of gene expression data within and between experiments and laboratories.
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