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The design, analysis, and interpretation of microarray experiments require specialized knowledge that is not part of the standard curriculum of our discipline.
DNA microarray experiments require planning (Simon and Dobbin, 2002).
Furthermore, biomedical or biological interpretation of microarray experiments require p-values and fold-changes for genes rather than spots.
For each disease, a set of candidate genes (e.g., from a linkage study) has to be defined and a relevant microarray experiment is required (e.g., diseased sample vs. reference sample).
For the microarray experiment, total RNA was required.
ZG provided assistance with the design of the microarray experiments and controls required to validate the performance of the arrays.
We found one gene (pknG) that was found to be upregulated in our microarray experiment to be an essential gene required for in vitro growth of M. tuberculosis according to Rubin and co-workers (Fig. 8).
With the multiple steps required to carry out a successful microarray experiment, it is not unusual to have "noisy" data.
Certain downstream molecular procedures such as microarray experiments and proteomics may require large amount of samples, which may not be feasible to collect with LMD.
The MGED ontology was designed to formalize the descriptors required by the Minimum Information About a Microarray Experiment (MIAME) standard for capturing core information about microarray experiments (Brazma et al., 2001).
The comparison of microarray data between two formats, or even between two laboratories using the same format, requires knowledge about the sources of error that can arise in a microarray experiment.
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