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Two different microarray designs were used.
However, call rates among different microarray designs may vary considerably [ 11, 15, 16].
To do so we develop a detailed model of the DNA microarray experiment and then use this model to predict probe intensities for seven different microarray designs.
Furthermore, comparison of the autocorrelation patterns with the average gene probe distance on the microarrays as a function of the genes' distance on the chromosome revealed that the different autocorrelation periodicities could be attributed entirely to the different microarray designs.
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Recently, an article was released giving an overview of all published microarray based microgravity studies [ 57] describing the difficulties to combine and overlay the data from different experiments, study objects, microgravity platforms (simulated microgravity, sounding rocket, space shuttle, and ISS missions), and different microarray experimental designs [ 58– 64].
For example, the call rate of different resequencing microarray designs may vary considerably.
Not only different segmentation algorithms and differences in probe hybridization, but also different types of microarray designs (aCGH, oligonucleotide) and different platforms may cause the problems.
Here we review different whole-genome microarray designs and applications of this technology to obtain a wide variety of genomic scale information.
To directly demonstrate that the different periodicities represent microarray designs rather than a true biological signal, we hybridized a single RNA sample, taken from cells traversing the cell cycle, to two microarrays of different design.
Different microarray platforms were designed for a single-channel or a multi-channel experimental setting.
Different microarray platforms employ different designs.
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