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. Author manuscript; available in PMC: 2019 Mar 21.
Published in final edited form as: Anal Chem. 2017 Sep 15;89(19):10397–10406. doi: 10.1021/acs.analchem.7b02380

Figure 1.

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.