Repository: Freie Universität Berlin, Math Department

OpenMS – A platform for reproducible analysis of mass spectrometry data

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 (2017) OpenMS – A platform for reproducible analysis of mass spectrometry data. Journal of Biotechnology, 261 . pp. 142-148. ISSN 01681656

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Background 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. Results This article presents the current state and ongoing developments in OpenMS, a versatile open-source framework aimed at enabling reproducible analyses of high-throughput mass spectrometry data. It provides implementations of frequently occurring processing operations on MS data through a clean application programming interface in C++ and Python. A collection of 185 tools and ready-made workflows for typical MS-based experiments enable convenient analyses for non-developers and facilitate reproducible research without losing flexibility. Conclusions OpenMS will continue to increase its ease of use for developers as well as users with improved continuous integration/deployment strategies, regular trainings with updated training materials and multiple sources of support. The active developer community ensures the incorporation of new features to support state of the art research.

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:2116
Deposited By: Anja Kasseckert
Deposited On:12 Oct 2017 12:05
Last Modified:12 Oct 2017 12:05

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