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Current Bioinformatics

Editor-in-Chief

ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

Data Preprocessing and Filtering in Mass Spectrometry Based Proteomics

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

Volume 7 , Issue 2 , 2012

Page: [212 - 220] Pages: 9

DOI: 10.2174/157489312800604363

Price: $65

Abstract

Mass spectrometry based proteomics analysis can produce many thousands of spectra in a single experiment, and much of this data, frequently greater than 50%, cannot be properly evaluated computationally. Therefore a number of strategies have been developed to aid the processing of mass spectra and typically focus on the identification and elimination of noise, which can provide an immediate improvement in the analysis of large data streams. This is mostly carried out with proprietary software. Here we review the current main principles underlying the preprocessing of mass spectrometry data give an overview of the publicly available tools.

Keywords: Data filtering, mass spectrometry, proteomics, spectrum, backbone fragments, peptide, analyzing proteomics data, complexity, particular mass spectrometer, immonium ions


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