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Microarray methodology was developed as an epochal method to simultaneously analyze enormous data sets for gene expression patterns in various biological conditions [ 7].
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The resolution of this microarray methodology is ∼15% in exon inclusion differences [15].
Thus, we propose that peptide microarray methodologies are a powerful new tool for elucidating molecular interactions at chromatin.
In addition to microarray validation, the qPCR methodology was used to test several presumptions.
Several power calculations for microarray methodologies exist, consequently sample size was determined and compared with two power calculation approaches.
The same methodology was applied to microarray and genomics data of 55 patients with prostate cancer.
For the first time the microarray methodology has been applied for the simultaneous identification of different mixed population of spoilage yeast and bacteria directly isolated from wine, thus indicating the practicability of oligonucleotide microarrays as a contamination control in wine industry.
This three-color microarray methodology can be utilized for pre-hybridization quality assessment [ 18], to facilitate automated post-hybridization image analysis [ 24], as well as post-hybridization data filtering [ 19].
An indirect labelling methodology was employed in preparing the microarray targets.
Study Design: The current literature relating to microarray technology and methodology is reviewed, specifically the use of DNA microarrays to characterize gene expression.
This methodology was followed to simulate the results users would achieve by following current protocols supplied with each microarray system.
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