Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process

<p>Abstract</p> <p>Background:</p> <p>Biological Mass Spectrometry is used to analyse peptides and proteins. A mass spectrum generates a list of measured mass to charge ratios and intensities of ionised peptides, which is called a peak-list. In order to classify the und...

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Main Authors: Gobom Johan, Giavalisco Patrick, Herwig Ralf, Martus Peter, Lalowski Maciej, Wolski Witold E, Sickmann Albert, Lehrach Hans, Reinert Knut
Format: Article
Language:English
Published: BMC 2005-11-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/6/285
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author Gobom Johan
Giavalisco Patrick
Herwig Ralf
Martus Peter
Lalowski Maciej
Wolski Witold E
Sickmann Albert
Lehrach Hans
Reinert Knut
author_facet Gobom Johan
Giavalisco Patrick
Herwig Ralf
Martus Peter
Lalowski Maciej
Wolski Witold E
Sickmann Albert
Lehrach Hans
Reinert Knut
author_sort Gobom Johan
collection DOAJ
description <p>Abstract</p> <p>Background:</p> <p>Biological Mass Spectrometry is used to analyse peptides and proteins. A mass spectrum generates a list of measured mass to charge ratios and intensities of ionised peptides, which is called a peak-list. In order to classify the underlying amino acid sequence, the acquired spectra are usually compared with synthetic ones. Development of suitable methods of direct peak-list comparison may be advantageous for many applications.</p> <p>Results:</p> <p>The pairwise peak-list comparison is a multistage process composed of matching of peaks embedded in two peak-lists, normalisation, scaling of peak intensities and dissimilarity measures. In our analysis, we focused on binary and intensity based measures. We have modified the measures in order to comprise the mass spectrometry specific properties of mass measurement accuracy and non-matching peaks. We compared the labelling of peak-list pairs, obtained using different factors of the pairwise peak-list comparison, as being the same or different to those determined by sequence database searches. In order to elucidate how these factors influence the peak-list comparison we adopted an analysis of variance type method with the partial area under the ROC curve as a dependent variable.</p> <p>Conclusion:</p> <p>The analysis of variance provides insight into the relevance of various factors influencing the outcome of the pairwise peak-list comparison. For large MS/MS and PMF data sets the outcome of ANOVA analysis was consistent, providing a strong indication that the results presented here might be valid for many various types of peptide mass measurements.</p>
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spelling doaj.art-6a5a62bf2f4d454594f58c82bb53cd732022-12-21T18:28:50ZengBMCBMC Bioinformatics1471-21052005-11-016128510.1186/1471-2105-6-285Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison processGobom JohanGiavalisco PatrickHerwig RalfMartus PeterLalowski MaciejWolski Witold ESickmann AlbertLehrach HansReinert Knut<p>Abstract</p> <p>Background:</p> <p>Biological Mass Spectrometry is used to analyse peptides and proteins. A mass spectrum generates a list of measured mass to charge ratios and intensities of ionised peptides, which is called a peak-list. In order to classify the underlying amino acid sequence, the acquired spectra are usually compared with synthetic ones. Development of suitable methods of direct peak-list comparison may be advantageous for many applications.</p> <p>Results:</p> <p>The pairwise peak-list comparison is a multistage process composed of matching of peaks embedded in two peak-lists, normalisation, scaling of peak intensities and dissimilarity measures. In our analysis, we focused on binary and intensity based measures. We have modified the measures in order to comprise the mass spectrometry specific properties of mass measurement accuracy and non-matching peaks. We compared the labelling of peak-list pairs, obtained using different factors of the pairwise peak-list comparison, as being the same or different to those determined by sequence database searches. In order to elucidate how these factors influence the peak-list comparison we adopted an analysis of variance type method with the partial area under the ROC curve as a dependent variable.</p> <p>Conclusion:</p> <p>The analysis of variance provides insight into the relevance of various factors influencing the outcome of the pairwise peak-list comparison. For large MS/MS and PMF data sets the outcome of ANOVA analysis was consistent, providing a strong indication that the results presented here might be valid for many various types of peptide mass measurements.</p>http://www.biomedcentral.com/1471-2105/6/285
spellingShingle Gobom Johan
Giavalisco Patrick
Herwig Ralf
Martus Peter
Lalowski Maciej
Wolski Witold E
Sickmann Albert
Lehrach Hans
Reinert Knut
Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
BMC Bioinformatics
title Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
title_full Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
title_fullStr Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
title_full_unstemmed Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
title_short Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
title_sort transformation and other factors of the peptide mass spectrometry pairwise peak list comparison process
url http://www.biomedcentral.com/1471-2105/6/285
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