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

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Item Type:Article
Title:OpenMS: a flexible open-source software platform for mass spectrometry data analysis
Creators Name:Roest, H.L., Sachsenberg, T., Aiche, S., Bielow, C., Weisser, H., Aicheler, F., Andreotti, S., Ehrlich, H.C., Gutenbrunner, P., Kenar, E., Liang, X., Nahnsen, S., Nilse, L., Pfeuffer, J., Rosenberger, G., Rurik, M., Schmitt, U., Veit, J., Walzer, M., Wojnar, D., Wolski, W.E., Schilling, O., Choudhary, J.S., Malmstroem, L., Aebersold, R., Reinert, K. and Kohlbacher, O.
Abstract: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 (http://www.openms.de), 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.
Keywords:Aging, Automatic Data Processing, Blood Proteins, Computational Biology, Mass Spectrometry, Molecular Sequence Annotation, Proteogenomics, Proteomics, Software, Workflow
Source:Nature Methods
ISSN:1548-7091
Publisher:Nature Publishing Group
Volume:13
Number:9
Page Range:741-748
Date:September 2016
Official Publication:https://doi.org/10.1038/nmeth.3959
PubMed:View item in PubMed

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