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This is in contrast to conventional microarray technology where the data are derived from the image and subsequently analyzed.
This result is inherent to the use of microarray technology where a huge number of genes are analysed at once and where, in the ideal case, one should be prepared to accept a considerable number of genes that merit further investigation.
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Thus, RNAseq represents a big advantage compared to microarrays technology where a parallel detection of host gene expression and viral genome expression is not possible.
This is appropriate for discovery based investigations where microarray technology has been successfully utilized.
He subsequently moved to Stanford where he played an instrumental part in the development of microarray technology and its applications and where he is now a Professor of Biochemistry and Howard Hughes Medical Institute investigator.
Microarrays are a perfect example of a convergence technology where multidisciplinary fields are required to make the technology a reality and to cause it to evolve.
Since microarray technology at the present has progressed towards a point where technical variation, background noise, and a lack of accuracy have greatly improved, the critical step has moved towards the preparation of the RNA sample.
Given the broad applicability of the PS microarray technology, the method can be easily extended to other areas where DNA material is limited, such as non-invasive prenatal diagnostics, studies on early embryonic stem cell passages and early tumor detection.
Both tan and pale approach the upper end of gene expression across tissues, where it is difficult to detect differences using microarray technology.
The nearest-neighbor thermodynamics based SLICSel tool is not exclusive for tmRNA and microarray probe design, but can be used for any other hybridization based technology where DNA or RNA oligonucleotide probe design is necessary.
Despite the conflicting information given by a handful of early published studies where both concordance[7] [9] and discordance[10] [12] between technologies was demonstrated, the maturation of microarray technology and data analysis methods has led to improved cross-platform correlations[6], [13].
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