An easy-to-handle microarray assay based on the cost-effective ArrayTube™ platform has been designed for the rapid and unequivocal identification of Coxiella burnetii, the causative agent of Q fever.
However, this package is rather specific for handling microarray data but not RNA-seq data.
Understanding and quantifying the errors introduced by sequence mismatches is important, not only for handling microarray data, but also data from any high-throughput assay that makes use of duplex formation, for example sequence capture for regional sequencing [ 7- 10].
As known from the performance of DNA-microarrays, obtaining high reproducibility, high dynamic range of intensity-measures (usually in the range of 4-6 ofders of magnitudes; derived form 16 or 20 bit microarray scanners) and easy handling microarrays, protein microarrays would be a potential alternative for validation of disease specific serum-auto-antibody profiles.
The classical nearest shrunken centroid method is used to handle numerical microarray data sets.
The nearest shrinkage centroid is developed to handle numerical microarray data sets.
GenoScript (http://genoscript.pasteur.fr/, Moreira et al., 2002) is such a web application, it can handle microbial microarray experiment data from small projects or large consortium programs, with a private access to unpublished data.
Handling of microarray results and statistical comparisons were performed with GeneSpring (Silicon Genetics, 2004) software.
Especially when many different samples have to be processed for validation of biomarker candidates, handling many microarrays is much easier and also for screening approaches microarrays are best suited and will replace membrane-based macroarray screens.
This approach greatly facilitates fabrication and handling of microarrays, because it eliminates the need for incorporation and control of electrical components.
