Sentence examples for microarrays can identify from inspiring English sources

Thus, a comparative approach with microarrays can identify genes whose expression is cartilage-selective.

However, at the present time no single platform, neither NGS nor microarrays, can identify all genomic sequence variants [ 32].

DNA microarray can identify specific genotypes, and can also detect co-infection in a single sample, but is labor-intensive.

Microarray hybridization can identify uniparental expression, but it cannot give reliable ratios of the two parental alleles, since there is no good means to quantify the affinity difference between perfect and mismatch probes.

Bacterial community composition was profiled using the 16S rRNA PhyloChip [33], [34], [35], a high-density, culture-independent microarray that can identify approximately 8,500 bacterial taxa (defined as groups of organisms that share at least 97% 16S rRNA sequence identity) in a single assay.

The single nucleotide polymorphism (SNP) array, a genomic microarray platform, can identify these various ROHs.

In addition, microarray studies can identify candidate genes for functional studies.

Comparative analysis of microarray datasets can identify patterns and consistencies not discernable from any one dataset individually.

It is unlikely that cDNA microarray analysis can identify splice variants since the technique relies on hybridisation.

The microarray approach can identify differences in mRNA abundances of known sequences irrespective of the assigned function, to compare the gene expression of the different strains.

It has been shown that reanalyzing large repositories of microarray data can identify profiles of differential expression that are highly predictive of gene associations to human diseases [ 68, 69].