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Answer: The MS1 annotation tries to annotate all features, independently of their S1 score. If a feature has an MS2 annotation, the MS1 annotation part will still be performed, but its result will have a spectral score of 0 (logically). This allows to compensate for multiple shortcomings at once:
The MS1 annotation is performed as follows: Depending on the ionization mode, The underlying lists are available at inst/extdata. These are pre-combined with lists of known masses/molecular formulas of interest, by default the ones in inst/params/default/prepare_libraries_sop_merged.yaml and inst/params/default/prepare_libraries_adducts.yaml. You can see the default parameters for the MS1 annotation at inst/params/default/annotate_masses.yaml I hope this clarifies. If not, do not hesitate and I'll try developing further. 😉 |
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Original question posted by @adrien-jagora in #26:
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