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Application of microarrays during process development helps to gain insight in biological processes involved in product formation, increasing process understanding. Application of Microarrays in ...
Furthermore, the development process must be kept within a tight project timeline that constrains the ability to examine a comprehensive set of process parameters. Phenotype MicroArrays provide a ...
DNA microarrays are an integral part of the process for therapeutic discovery, optimization and clinical validation. At an early stage, investigators use arrays to prioritize a few genes as ...
One genomic technique that has been widely used for large-scale genome comparisons is the DNA microarray. ... cDNA came from heat-exposed cells during later phases of the microarray process. ...
Microarray technology is a very promising and quickly developing area of expertise that is leading to the discovery of numerous new signatures in a very short period of time. Although the use of ...
DNA microarrays (cDNA or oligos) have become commonplace and instrumentation is available to automate the workflow process of production, hybridization, and image analysis.
The microarray process also can work the other way around. Place nucleotides associated with known gene sequences on a glass slide and then run tissue samples against them, and the same binding ...
10/04/2011 19:00 New fabrication process for microarray chips for clinical diagnostics Dipl.-Phys. Axel Bauer Marketing und Kommunikation Fraunhofer-Institut für Lasertechnik ILT. At this year ...
For most researchers DNA microarrays are synonymous with high-throughput gene expression analysis. But they also are invaluable genotyping tools. Now that the International HapMap Project (see article ...
Figure 3. Label-based detection strategies for protein microarray applications.(A) Rolling circle amplification: capture antibody spotted on the array surface binds to the analyte of interest and ...
On line process monitoring with near infrared (nIR) spectroscopy gives insight in product quality as it is formed. Extensive process understanding is necessary to identify critical quality attributes.