Figure 1.
Our informatic workflow. Raw data were processed with in-house algorithms to first identify high-quality, consensus features (i.e., recurring features between replicates) and discriminate against processing artifacts. This consensus data set was further characterized by mz.unity (to estimate signal degeneracy) and credentialing (to estimate contaminants and artifacts). The resulting annotated data set was catalogued in the creDBle database.