The suggested method automatically evaluates errors of m/z values which makes possible more accurate matching of peaks from different replicate spectra. A statistical criterion for filtering of spurious peaks is developed. A library of consensus spectra achieves better performance with the existing search algorithms (see Table 1). The following improvements were implemented: Robust alignment of m/z values; Discovery and removal of artifact peaks; Optimizing a library.
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