Sentence examples for microarrays that use from inspiring English sources
In microarrays that use multiple short probes for each transcript, the probes are collectively referred to as a probeset, and the expression level reported for the gene is a summarization of the signal reported for each of the individual probes in the probeset [3].
In conclusion, DNA microarrays, that use multiple rRNAs or other phylogenetic markers, can be deployed to track variations in population structure and community function over time and space.
A commercially produced vRNA sample would allow for comparison of datasets across laboratories using cDNA microarrays that use the same parental vector.
Circuit designs for microarrays are statistically robust and improve resolution in identifying differentially regulated genes compared to designs for microarrays that use a universal reference [ 94].
By contrast, several studies have reported an increase in the number of detectable genes when combining amplification techniques with microarrays that use spotted cDNAs or long oligonucleotides on glass slides [ 16- 19].
We describe here a simple and effective method to regenerate such custom microarrays that uses a very low-salt buffer to remove labeled nucleic acids from microarrays.
Here, we report on a resolution statistic for genomic microarrays that uses an approach based on hypothesis testing and statistical power calculations.
These factors may introduce a bias that improves the correlation between qPCR and microarrays that used oligo dT -primed cDNA labeling metholigo dT -primedindirecDNAnd the ds-cDNA methods.
Here, we developed a comparative hybridization genotyping (CGH) microarray that uses clusters of SNPs and insertion-deletions (indels) in a high-density genotyping microarray to differentiate N. vitripennis from N. giraulti sequence at a large number of markers spanning the Nasonia genome.
DNA microarrays that are used as end-point detectors for PCR assays are typically composed of short (15 25 mer) oligonucleotide probes bound to glass.
The bias appears to be common to most microarray platforms that use amplification and mean intensities of one to nine percent of the probes increase aberrantly to levels up to a hundred fold the average level of unaffected probes.
