Publikation:

Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry

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Aiche_0-288990.pdf
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Datum

2015

Autor:innen

Aiche, Stephan
Sachsenberg, Timo
Kenar, Erhan
Walzer, Mathias
Kristl, Theresa
Boyles, Matthew
Duschl, Albert
Huber, Christian G.

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Open Access-Veröffentlichung
Open Access Hybrid
Core Facility der Universität Konstanz

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Titel in einer weiteren Sprache

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Zeitschriftenartikel
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Published

Erschienen in

Proteomics. 2015, 15(8), pp. 1443-1447. ISSN 1615-9853. eISSN 1615-9861. Available under: doi: 10.1002/pmic.201400391

Zusammenfassung

MS-based proteomics and metabolomics are rapidly evolving research fields driven by the development of novel instruments, experimental approaches, and analysis methods. Monolithic analysis tools perform well on single tasks but lack the flexibility to cope with the constantly changing requirements and experimental setups. Workflow systems, which combine small processing tools into complex analysis pipelines, allow custom-tailored and flexible data-processing workflows that can be published or shared with collaborators. In this article, we present the integration of established tools for computational MS from the open-source software framework OpenMS into the workflow engine Konstanz Information Miner (KNIME) for the analysis of large datasets and production of high-quality visualizations. We provide example workflows to demonstrate combined data processing and visualization for three diverse tasks in computational MS: isobaric mass tag based quantitation in complex experimental setups, label-free quantitation and identification of metabolites, and quality control for proteomics experiments.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

KNIME, Metabolomics, OpenMS, Proteomics, Workflows

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ISO 690AICHE, Stephan, Timo SACHSENBERG, Erhan KENAR, Mathias WALZER, Bernd WISWEDEL, Theresa KRISTL, Matthew BOYLES, Albert DUSCHL, Christian G. HUBER, Michael R. BERTHOLD, Knut REINERT, Oliver KOHLBACHER, 2015. Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry. In: Proteomics. 2015, 15(8), pp. 1443-1447. ISSN 1615-9853. eISSN 1615-9861. Available under: doi: 10.1002/pmic.201400391
BibTex
@article{Aiche2015Workf-30978,
  year={2015},
  doi={10.1002/pmic.201400391},
  title={Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry},
  number={8},
  volume={15},
  issn={1615-9853},
  journal={Proteomics},
  pages={1443--1447},
  author={Aiche, Stephan and Sachsenberg, Timo and Kenar, Erhan and Walzer, Mathias and Wiswedel, Bernd and Kristl, Theresa and Boyles, Matthew and Duschl, Albert and Huber, Christian G. and Berthold, Michael R. and Reinert, Knut and Kohlbacher, Oliver}
}
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