Updated publication reference for PubMed record(s): 31417895. Identification of protein covalent modifications (adducts) is a challenging task mainly due to the lack of data processing approaches for Adductomics studies. We report a novel strategy to identify covalently modified peptides that consists on LC-MS data preprocessing followed by statistical analysis. This strategy was compared with the standard methodology of adductomics, which relies on producing comprehensive MS/MS data by data dependent acquisition and analysis with proteomics data search engines (Mascot, Global Proteome Machine interface (GPM Fury) that uses X!Tandem, MaxQuant and MSFragger).