It supports data generated in positive or negative mode and from most instrument types that can be converted to the mzML format (e.g., Thermo Orbitrap, QTOF from various vendors; see Table for a list of supported file formats). By omitting SIRIUS and CSI:FingerID, the user can process low resolution data or data with only MS 1 information, and by omitting CSI:FingerID and FBMN/IIMN, the user can process sensitive data (e.g., clinical metabolomic datasets). The modular structure of UmetaFlow allows the user to select specific steps to process their dataset with, modify them, but also add supplemental functionality, for example, statistical analysis and visualization steps. The workflow also allows for re-quantification of features that have missing values across all samples, a unique method to impute missing values.