Szeged Biological Center

Szeged, Hungary

Szeged Biological Center

Szeged, Hungary

Time filter

Source Type

Reiz B.,The Protein Networks Group | Reiz B.,Szeged Biological Center | Reiz B.,University of Szeged | Kertesz-Farkas A.,The Protein Networks Group | And 3 more authors.
Current Bioinformatics | Year: 2012

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. © 2012 Bentham Science Publishers.


Kertesz-Farkas A.,Protein Structure and Bioinformatics Group | Reiz B.,Protein Structure and Bioinformatics Group | Reiz B.,Szeged Biological Center | Reiz B.,University of Szeged | And 3 more authors.
Current Bioinformatics | Year: 2012

Bottom-up proteomics (mass spectrometry analysis of peptides obtained by proteolysis and separated by liquid chromatography, (LC-MS/MS)) is one of the most frequently used techniques for identifying and characterizing proteins in biological samples. A key element of the analysis is database searching when the mass spectra of the peptides are compared with a database of theoretically computed (or experimental) peptide spectra. Here we discuss the main computational approaches to spectrum database searching and the statistical analysis of the results. © 2012 Bentham Science Publishers.

Loading Szeged Biological Center collaborators
Loading Szeged Biological Center collaborators