Considering all these factors, the natural questions are, which variance stabilization method should be used to deal with heterogeneity of variance in kinome microarray data? How do they affect the detection of differentially phosphorylated peptides? What is the effect of these transformations on fold-change? To answer these questions and many others, we require datasets for which correct analysis results are known. Unfortunately, such data is not readily available in the community. Further, there are no established techniques for creating artificial datasets with known results and with the same characteristics as real kinome datasets. In addition to data, we need criteria with which to evaluate the effects of various variance stabilization methods on kinome data analysis.