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High-throughput microarray data provide a powerful tool for identifying genes at the genome scale that control pollen development.
Taken together, the microarray data provide a basis for new testable hypotheses regarding enhancement of thymidine productivity and attaining a more complete understanding of nucleotide metabolism in bacteria.
Novel analyses on existing microarray data provide fresh insights and new interpretations into transcriptome-wide changes in expression.
These microarray data provide an opportunity to discuss this cutting-edge technique.
Our cDNA microarray data provide valuable information for future investigations of the mechanisms underlying the toxicity and leukemogenicity of benzene.
The current microarray data provide background information of T. thermophila P450 gene expression in normal physiological states.
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The SSH data provided only up-regulated genes while microarray data provided both up- and down-regulated genes.
Coincidently, our microarray data provided molecular biological evidence in support of this hypothesis.
Clinical microarray data provides a useful environment for the investigation: despite being valuable for reuse and extremely costly to collect, is not yet universally shared.
Next, to test the potential of the proposed analytical procedure in identification of consensus signaling alterations, we employed the microarray data provided by Galamb et al. (GSE4183) [15] and Sabates-Bellver et al. (GSE8671) [14].
Affymetrix microarray data provided by Weigel World (http://www.weigelworld.org/) was accessed using AtGenExpress Visualization Tool (AVT) (http://www.weigelworld.org/resources/microarray/AtGenExpress/) [29], [30] to analyze the developmental expression of the newly identified CC-TPR genes by inputting their AGI IDs on the homepage.
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