Data Preprocessing and Filtering in Mass Spectrometry Based Proteomics

Beata Reiz; Attila Kertesz-Farkas; Sandor Pongor; Michael P. Myers

doi:10.2174/157489312800604363

ISSN: 1574-8936
E-ISSN: 2212-392X

Data Preprocessing and Filtering in Mass Spectrometry Based Proteomics
Authors: Beata Reiz¹, Attila Kertesz-Farkas², Sandor Pongor³ and Michael P. Myers⁴
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Affiliations: ¹ Protein Networks Group, International Centre for Genetic Engineering and Biotechnology, 34012 Trieste, Italy. ² Protein Networks Group, International Centre for Genetic Engineering and Biotechnology, 34012 Trieste, Italy. ³ Protein Networks Group, International Centre for Genetic Engineering and Biotechnology, 34012 Trieste, Italy. ⁴ Protein Networks Group, International Centre for Genetic Engineering and Biotechnology, 34012 Trieste, Italy.
Source: Current Bioinformatics, Volume 7, Issue 2, Jun 2012, p. 212 - 220
DOI: https://doi.org/10.2174/157489312800604363
- Available online: 01 Jun 2012

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.

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2012-06-01

2025-01-27

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Article Type: Research Article

Keyword(s): analyzing proteomics data; backbone fragments; complexity; Data filtering; immonium ions; mass spectrometry; particular mass spectrometer; peptide; proteomics; spectrum

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Data Preprocessing and Filtering in Mass Spectrometry Based Proteomics

Abstract

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