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Bioinformatics for Omics Data pp 331–349Cite as

Bioinformatics for Qualitative and Quantitative Proteomics

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 719))

Abstract

Mass spectrometry is today a key analytical technique to elucidate the amount and content of proteins expressed in a certain cellular context. The degree of automation in proteomics has yet to reach that of genomic techniques, but even current technologies make a manual inspection of the data infeasible. This article addresses the key algorithmic problems bioinformaticians face when handling modern proteomic samples and shows common solutions to them. We provide examples on how algorithms can be combined to build relatively complex analysis pipelines, point out certain pitfalls and aspects worth considering and give a list of current state-of-the-art tools.

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Acknowledgments

CB is supported by the European Commission´s 7th Framework Program (GA202222). OK gratefully acknowledges financial support from DFG (SFB 685/B1, SPP 1335) and BMBF (0313842A, 0315395F).

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Authors and Affiliations

  1. AG Algorithmische Bioinformatik, Institut für Informatik, Freie Universität Berlin, Berlin, Germany

    Chris Bielow & Knut Reinert

  2. Ernst-Moritz-Arndt-Universität Greifswald, Greifswald, Germany

    Clemens Gröpl

  3. Eberhard-Karls-Universität Tübingen, Tübingen, Germany

    Oliver Kohlbacher

Authors
  1. Chris Bielow
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  2. Clemens Gröpl
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  3. Oliver Kohlbacher
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  4. Knut Reinert
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Corresponding author

Correspondence to Chris Bielow .

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Editors and Affiliations

  1. emergentec biodevelopment GmbH, Gersthofer Strasse 29-31, Vienna, 1180, Austria

    Bernd Mayer

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Bielow, C., Gröpl, C., Kohlbacher, O., Reinert, K. (2011). Bioinformatics for Qualitative and Quantitative Proteomics. In: Mayer, B. (eds) Bioinformatics for Omics Data. Methods in Molecular Biology, vol 719. Humana Press. https://doi.org/10.1007/978-1-61779-027-0_15

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  • DOI: https://doi.org/10.1007/978-1-61779-027-0_15

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-026-3

  • Online ISBN: 978-1-61779-027-0

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