Analyzing and reporting data generated from cDNA microarray experiments is a challenging process. There are many potential sources of error that must be controlled to obtain valid and reproducible results from these experiments and estimate relative levels of gene expression. There is currently no proven best method of normalization or data processing for the analysis of microarray data. We wanted to find out whether we could generate a consistent and meaningful report of microarray gene expression results, correcting from systematic sources of variation, and ensure that the results are valid and reproducible for the genetics researcher.