Genomic data integration and downstream analysis can be heavily influenced by variations in data quality. The specific research questions under investigation must therefore take these variations into account, and furthermore strive to eliminate them as much as possible. The goal of this effort is to differentiate the detected gene variations in pan-genomes as either technical artefacts, or biologically relevant information. But in order to do so, one must thus first be able to measure the data quality.