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We have also discussed how the two DNA microarrays were adapted for evaluating the mycotoxin action.
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Some of them (for example, likelihood ratio test) have been used for microarray data analysis and then were adapted for RNA-Seq data analysis, while others were developed specifically for RNA-Seq.
Criteria used to classify genes as being differentially expressed were adapted from recent recommendations from the Microarray Quality Control Consortium (Guo et al. 2006; Shi et al. 2006).
Staining protocols were adapted from [71].
Genome sizing methods were adapted from [33].
Reaction mixes were adapted from [44], [45].
In the laboratory, genome-wide technologies such as expression and DNA microarrays have been adapted to analyze patterns of DNA methylation and to screen for novel disease markers.
Microarrays can also be adapted to incorporate new loci, determine copy number polymorphism or designed to answer specific research questions.
To date, microarray technology has been adapted to profile genome-wide gene expression changes in plants in response to infections of a number of positive sense RNA viruses [ 7- 10, 12- 16].
Furthermore, the microarray format potentially can be adapted to cover other genotypes prevailing in other geographic areas as it has been conceived to permit inclusion of probes up to the theoretical number of one hundred [14].
In this method, the classical machine learning k nearest neighbours algorithm is adapted to microarray data.
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