To ensure a wide applicability of MS 2 Rescore, the MS 2 PIP and DeepLC feature generators are shipped with models for various instrumental setups and proteomics workflows. Furthermore, DeepLC implements advanced retention time calibration algorithms and users can opt to enable transfer learning to further improve prediction accuracy for their specific chromatography setup. For trapped ion mobility (TIMS) instruments, the ionmob collisional cross section predictor was implemented to calculate TIMS-derived rescoring features. The newly added HTML QC report allows users to assess the effect of data-driven rescoring on their identification workflow and the performance of individual features (Figure ).