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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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