OpenMS for open source analysis of mass spectrometric data
1 Department for Computer Science, Applied Bioinformatics, Eberhard-Karls-Universität Tübingen, Tübingen, Germany
2 Department for Computer Science, Algorithmic Bioinformatics, Freie Universität Berlin, Berlin, Germany
3 Moneta Building, Babraham Research Campus, STORM Therapeutics Limited, Cambridge, United Kingdom
4 Epigenetics Institute, Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, United States
5 Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany
6 Institute for Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
7 Institute for Biomedical Informatics, University of Tübingen, Tübingen, Germany
8 Quantitative Biology Center, University of Tübingen, Tübingen, Germany
9 Donnelly Centre, University of Toronto, Toronto, Canada
10 Department of Molecular Genetics, University of Toronto, Toronto, Canada
11 Department of Computer Science, University of Toronto, Toronto, Canada
- Subject Areas
- Bioinformatics, Computational Science
- mass spectrometry, proteomics, metabolomics, open source
- © 2019 Alka et al.
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2019. OpenMS for open source analysis of mass spectrometric data. PeerJ Preprints 7:e27766v1 https://doi.org/10.7287/peerj.preprints.27766v1
Will be submitted as book chapter. This is a preprint submission to PeerJ Preprints.