Precursor Mass Dependent Filtering of Mass Spectra for Proteomics Analysis

Title:Precursor Mass Dependent Filtering of Mass Spectra for Proteomics Analysis

Volume: 21 Issue: 8

Author(s): Beata Reiz, Michael P. Myers, Sandor Pongor and Attila Kertesz-Farkas

Affiliation:

Keywords: LC-MS/MS, Mass spectrometry, noise filtering, peak filtering, proteomics.

Abstract: 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.

Cite this article as:

Reiz Beata, Myers P. Michael, Pongor Sandor and Kertesz-Farkas Attila, Precursor Mass Dependent Filtering of Mass Spectra for Proteomics Analysis, Protein & Peptide Letters 2014; 21 (8) . https://dx.doi.org/10.2174/09298665113209990065

DOI https://dx.doi.org/10.2174/09298665113209990065	Print ISSN 0929-8665
Publisher Name Bentham Science Publisher	Online ISSN 1875-5305