Sentence examples for microarray technologies used from inspiring English sources

Headquartered in San Diego, California, Illumina develops microarray technologies used in large-scale analysis of genetic variation and function.

Recently, a comparison was made of two microarray technologies used in the detection of CNVs.

This was not surprising considering the profound differences in the microarray technologies used in the two studies, such as probe lengths and densities, as well as the laboratory procedures and analysis protocols, which together can make the comparison of the expression levels of individual genes in different studies challenging [ 51].

The Affymetrix GeneChip® gene expression analysis array, one of most commonly used microarray technologies, uses multiple oligonuleotides (25-mers) to measure expression abundance of a single gene.

Finally, most of our knowledge pertaining to genome-wide variation in alternative splicing has been acquired thanks to recent developments in microarray technologies, using either exon or splice-junction microarrays.

Spearman correlation coefficients were generated for each possible pairwise contrast for each of the microarray technologies using miRNAs that were present across all platforms (n = 54) or in common between specific pairwise contrasts (Table 1).

These other studies, however, were done using crude tissue blots of undefined self-molecules; the defined-antigen microarray technology used here apparently made it possible for us to detect the changes in fine specificity of the autoimmune repertoire occurring subsequent to birth.

With the microarray technology used (a 16k library for coverage of 20 25 k genes), it is obvious that not all gene products affected by the MO treatment are included in the presented data set.

Another limitation is related to the tissue microarray technology used in this study might also contribute to some limitations of the work.

It also demonstrated the reliability of the microarray technology used in the current study and also provided a greater confidence in our research results.

For example, the scoring is independent of the microarray technology used (although we have used data only from Affymetrix chips), and thus data obtained through different technologies could be compared in the same analysis.