Sentence examples for microarray data representation from inspiring English sources

Summary: The MAGE-TAB format for microarray data representation and exchange has been proposed by the microarray community to replace the more complex MAGE-ML format.

This method permits biologists to visualize global expression patterns in DNA microarray data through graphic representation.

This protocol provides targets that generate highly reproducible microarray data with good representation of transcripts across the size spectrum and a coefficient of repeatability significantly better than that reported previously.

Because these unc-4 GFP unc-4 GFPffereneuronsin vitro, it was important to establish that our microarray differentiatean accurate representatinn of gene expression in the intact animal.

To help ensure that subsequent microarray data provided an accurate representation of the effects of glucosamine and IL-1β on chondrocyte transcription, NO levels were used to verify that the cultures were viable and responded fully and reproducibly to both molecules [ 13, 22].

To ensure that subsequent protein microarray data provided an accurate representation of the effect of EGCG and IL-1β on chondrocytes, nitrite levels were used as surrogate for NO expression induced by IL-1β and the effect of EGCG on NO expression to verify that the chondrocytes responded reproducibly to both the molecules.

In a graph representation of microarray data, nodes stand for genes and edges represent profile similarities between genes.

Comparison of EST representation and microarray data show substantial inconsistencies in identification of (i) highly abundant expressed genes and (ii) life-cycle stage-specific or -biased expression.

The application "Caryoscope" [ 9] is a Java-based program, able to generate a graphical representation of microarray data in a genomic context.

The final gene lists obtained from microarray data analyses are only a partial representation of the transcriptome due to the fact that the genes surveyed are constrained to the probes present in each array, and because the overlap in gene coverage and in differential gene expression detection between platforms is incomplete.

In addition, although many biological studies use qPCR for validation of significant findings (as sampled by [ 16]), they examine a limited number of genes selected for specific expression characteristics and thereby fail to provide a global representation from which microarray data properties might be discerned.