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MS2Query

Description

For feature annotation, FERMO accepts results created by MS2Query, a machine-learning based annotation algorithm. MS2Query comes with its own spectral library derived from the GNPS library and can do exact and/or analog matching. For compatibility with FERMO, the MS2Query results file must come with an additional column id that matches the IDs of the molecular features (see here for details). For more information on the algorithmm see the MS2Query Documentation.

Parameters

  • score_cutoff: minimum score in ms2query_model_prediction to consider a match to be valid. Matches with a score lower than score_cutoff are not considered for molecular feature annotation.