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Originally, these techniques were employed in conjunction with microarray platforms; however, high-throughput sequencing methodologies are now routinely being used.
For the many different types of microarray platforms, however, it is difficult to transform raw data so as to accord with any one of the existing frameworks, precluding reliable comparisons among dissimilar data sets.
Significant fraction of lncRNAs is represented on widely used microarray platforms, however they have traditionally been ignored in cancer studies.
Significant fraction of lncRNAs is represented on widely used microarray platforms, however they have usually been ignored in cancer studies.
Similar to other studies using microarray platforms, however, the mean beta differences associated with sex are very small (approximately 5%) [ 13, 14, 18].
A series of studies have been reported on evaluating performance across various commercial and home-brewed microarray platforms, however, most of these studies focused on evaluating the level of concordance across different microarray platforms.
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However, microarray platforms for numerous species, particularly large mammals, have yet to be fully developed.
The false-change rates between microarray platforms were very similar, however the performance of CodeLink was slightly better with only 0.32% and 0.20% of ratios falling outside 2-fold for brain and pancreas, respectively.
However, developing microarray platforms for A. fumigatus has already been made outdated by the advent of new technologies based on cDNA sequencing.
However, individual microarray platforms themselves differ substantially [ 42] and a multiplatform approach, as used here, clearly defines a robust DTET seen by every technology.
However, different microarray platforms have been used in this species to analyze transcriptomic variation during berry development [ 22- 24], water and salinity stresses [ 25], virus infection [ 26] and fungal pathogen attack [ 27].
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