Refiner Array evaluates microarray data for quality issues, and flags problematic measurements. It provides a set of normalization algorithms and validated condensing methods to automately pre-process and summarize raw microarray data for subsequent statistical analysis. Standardized workflows increase reproducibility and support high-throughput processing of large experimental datasets.
Refiner Array monitors a variety of quality issues, such as:
- Signal background due to insufficient washing
- Array surface defects due to scratches
- Signal intensity gradients due to temperature gradients during hybridization
- Miscellaneous image distortions
- Outliers due to incorrect scanner settings or an excessive amount of labeling
- Technology specific parameters, such as 3‘/5‘ ratios for Affymetrix control genes, to judge RNA quality or monitor the amplification process.
An example of automated microarray data pre-processing:
Click for a list of supported technologies.
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