Repository: Freie Universität Berlin, Math Department

OpenMS: a flexible open-source software platform for mass spectrometry data analysis

Röst, Hannes L and Sachsenberg, Timo and Aiche, Stephan and Bielow, Chris and Weisser, Hendrik and Aicheler, Fabian and Andreotti, Sandro and Ehrlich, Hans-Christian and Gutenbrunner, Petra and Kenar, Erhan and Liang, Xiao and Nahnsen, Sven and Nilse, Lars and Pfeuffer, Julianus and Rosenberger, George and Rurik, Marc and Schmitt, Uwe and Veit, Johannes and Walzer, Mathias and Wojnar, David and Wolski, Witold E and Schilling, Oliver and Choudhary, Jyoti S and Malmström, Lars and Aebersold, Ruedi and Reinert, Knut and Kohlbacher, Oliver (2016) OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nature Methods, 13 (9). pp. 741-748. ISSN 1548-7091

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High-resolution mass spectrometry (MS) has become an important tool in the life sciences, contributing to the diagnosis and understanding of human diseases, elucidating biomolecular structural information and characterizing cellular signaling networks. However, the rapid growth in the volume and complexity of MS data makes transparent, accurate and reproducible analysis difficult. We present OpenMS 2.0 (, a robust, open-source, cross-platform software specifically designed for the flexible and reproducible analysis of high-throughput MS data. The extensible OpenMS software implements common mass spectrometric data processing tasks through a well-defined application programming interface in C++ and Python and through standardized open data formats. OpenMS additionally provides a set of 185 tools and ready-made workflows for common mass spectrometric data processing tasks, which enable users to perform complex quantitative mass spectrometric analyses with ease.

Item Type:Article
Subjects:Mathematical and Computer Sciences > Computer Science
Divisions:Department of Mathematics and Computer Science > Institute of Computer Science > Algorithmic Bioinformatics Group
ID Code:2129
Deposited By: Anja Kasseckert
Deposited On:22 Nov 2017 13:17
Last Modified:22 Nov 2017 13:17

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