Identification and elimination of noise peaks in mass spectra from large proteomics data streams simultaneously
improves the accuracy of peptide identification and significantly decreases the size of the data. There are a
number of peak filtering strategies that can achieve this goal. Here we present a simple algorithm wherein the number
of highest intensity peaks retained for further analysis is proportional to the mass of the precursor ion. We show that
this technique provides an improvement over other intensity based strategies, especially for low mass precursors.
Keywords: LC-MS/MS, Mass spectrometry, noise filtering, peak filtering, proteomics.
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