Precursor mass dependent filtering of mass spectra for proteomics analysis.

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.

journal_name

Protein Pept Lett

authors

Reiz B,Myers MP,Pongor S,Kertesz-Farkas A

doi

10.2174/09298665113209990065

subject

Has Abstract

pub_date

2014-01-01 00:00:00

pages

858-63

issue

8

eissn

0929-8665

issn

1875-5305

pii

PPL-EPUB-53880

journal_volume

21

pub_type

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