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Microarray technologies allow for genome-wide analysis of large numbers of genes in parallel, and have been adopted for studies of polyploidization in resynthesized plant polyploids.
Current microarray technologies allow for the measurement of SNP variation and copy number estimation at the same time [35], [36] and have been used to gain insights into breast cancer [37], [38], [39], among other diseases.
7– 9 Statistical methods developed with the advent of microarray technologies allow extraction of cell-type-specific expression profiles from a gene expression matrix obtained from heterogeneous tissues.
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This assay offers increased throughput with decreased costs compared with existing microarray technologies, allowing the determination of gene expression changes specifically, rapidly, and with high sensitivity and resolution.
Advances in protein microarray technology allow the generation of high content, reliable information about complex, multilevel protein interaction networks.
The advances of microarray technology allow the expression levels of thousands of genes to be measured simultaneously [ 1].
27, 40, 48, 49, 56 New proteomic microarray technology allow the detection of IgE-related sensitization of large panels of allergens using many sera samples, and can provide a comprehensive basis for the relation between sequence similarity and IgE recognition in the future.
Microarrays technologies allow the characterization of a whole-genome expression by measuring the relative transcript levels of thousand of genes in one experiment [ 10, 11].
Microarray technology allows the rapid study of large numbers of genes.
DNA microarray technology allows a parallel analysis of RNA abundance and DNA homology for thousands of genes in a single experiment.
Nowadays the microarray technology allows whole-genome analysis with a high resolution and performance for the genetic diagnosis in any patient with intellectual disability or autism spectrum disorder.
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