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OpenMS - A platform for reproducible analysis of mass spectrometry data

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2017

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Pfeuffer, Julianus
Sachsenberg, Timo
Alka, Oliver
Walzer, Mathias
Nilse, Lars
Schilling, Oliver
Reinert, Knut
Kohlbacher, Oliver

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https://doi.org/10.1016/j.jbiotec.2017.05.016
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Journal of biotechnology. 2017, 261, pp. 142-148. ISSN 0168-1656. eISSN 1873-4863. Available under: doi: 10.1016/j.jbiotec.2017.05.016

Zusammenfassung

In recent years, several mass spectrometry-based omics technologies emerged to investigate qualitative and quantitative changes within thousands of biologically active components such as proteins, lipids and metabolites. The research enabled through these methods potentially contributes to the diagnosis and pathophysiology of human diseases as well as to the clarification of structures and interactions between biomolecules. Simultaneously, technological advances in the field of mass spectrometry leading to an ever increasing amount of data, demand high standards in efficiency, accuracy and reproducibility of potential analysis software.

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ISO 690PFEUFFER, Julianus, Timo SACHSENBERG, Oliver ALKA, Mathias WALZER, Alexander FILLBRUNN, Lars NILSE, Oliver SCHILLING, Knut REINERT, Oliver KOHLBACHER, 2017. OpenMS - A platform for reproducible analysis of mass spectrometry data. In: Journal of biotechnology. 2017, 261, pp. 142-148. ISSN 0168-1656. eISSN 1873-4863. Available under: doi: 10.1016/j.jbiotec.2017.05.016
BibTex
@article{Pfeuffer2017OpenM-40973,
  year={2017},
  doi={10.1016/j.jbiotec.2017.05.016},
  title={OpenMS - A platform for reproducible analysis of mass spectrometry data},
  volume={261},
  issn={0168-1656},
  journal={Journal of biotechnology},
  pages={142--148},
  author={Pfeuffer, Julianus and Sachsenberg, Timo and Alka, Oliver and Walzer, Mathias and Fillbrunn, Alexander and Nilse, Lars and Schilling, Oliver and Reinert, Knut and Kohlbacher, Oliver}
}
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