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DOI: 10.4230/DagSemProc.05471.13
URN: urn:nbn:de:0030-drops-5463
URL: https://drops.dagstuhl.de/opus/volltexte/2006/546/
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Reinert, Knut ; Kohlbacher, Oliver ; Gröpl, Clemens ; Lange, Eva ; Schulz-Trieglaff, Ole ; Sturm, Marc ; Pfeifer, Nico

OpenMS - A Framework for Quantitative HPLC/MS-Based Proteomics

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05471.ReinertKnut.ExtAbstract.546.pdf (0.2 MB)


Abstract

In the talk we describe the freely available software library OpenMS which is
currently under development at the Freie Universität Berlin and the
Eberhardt-Karls Universität Tübingen. We give an overview of the goals and
problems in differential proteomics with HPLC and then describe in detail the
implemented approaches for signal processing, peak detection and data
reduction currently employed in OpenMS. After this we describe methods to
identify the differential expression of peptides and propose strategies to avoid MS/MS identification of peptides of interest. We give an overview of the
capabilities and design principles of OpenMS and demonstrate its ease of use.
Finally we describe projects in which OpenMS will be or was already deployed
and thereby demonstrate its versatility.

BibTeX - Entry

@InProceedings{reinert_et_al:DagSemProc.05471.13,
  author =	{Reinert, Knut and Kohlbacher, Oliver and Gr\"{o}pl, Clemens and Lange, Eva and Schulz-Trieglaff, Ole and Sturm, Marc and Pfeifer, Nico},
  title =	{{OpenMS - A Framework for Quantitative HPLC/MS-Based Proteomics}},
  booktitle =	{Computational Proteomics},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5471},
  editor =	{Christian G. Huber and Oliver Kohlbacher and Knut Reinert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2006/546},
  URN =		{urn:nbn:de:0030-drops-5463},
  doi =		{10.4230/DagSemProc.05471.13},
  annote =	{Keywords: Proteomics, C++, Differential expression}
}

Keywords: Proteomics, C++, Differential expression
Collection: 05471 - Computational Proteomics
Issue Date: 2006
Date of publication: 18.09.2006


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