WHAT IS OPENMS?

As part of the deNBI Center for integrative Bioinformatics, OpenMS offers an open-source software C++ library (+ python bindings) for LC/MS data management and analyses. It provides an infrastructure for the rapid development of mass spectrometry related software as well as a rich toolset built on top of it. OpenMS is free software available under the three clause BSD license and runs under Windows, macOS and Linux.

Download OpenMS

PROTEOMICS

Almost 200 ready-made and customisable tools for analysing your proteomics data. Combined in flexible workflows they provide solutions to a broad range of problems arising in state-of-the art proteomics labs.

METABOLOMICS

OpenMS provides a wide range of customisable tools, specifically designed for all steps in the analysis of your targeted and untargeted metabolomics data.

WORKFLOWS

Every tool that is developed within OpenMS is available on flexible, scalable and easy-to-use workflow engines (such as KNIME, Galaxy, and nextflow) facilitating reproducible science

QUICK FACTS

Programming Language:


C++17

License:


BSD-clause-3

Supported Platforms:


Windows


Linux


macOS

Recent News

Virtual OpenMS Developers Meeting 15-16 April 2021

08.04.2021

The OpenMS developer meeting brings bioinformaticians working in computational mass spectrometry together to shape the future development of OpenMS. It is targeted to core developers, new developers, and potential future contributors. Short talks, developer tutorials, and code sprints will be intertwined. Participants will have the opportunity to d …

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Testimonials

Recent Tweets

OpenMS Team
14 Feb
OpenMS Team
@OpenMSTeam

Please RT!! Our lab is hiring two ph.d positions to work on computational #proteomics!! This PhD position will be part of @PROTrEIN_ITN. Please see kohlbacherlab.org/job_offers/ for detail if you are interested in #bioinformatics #compbio. Application link: protrein.eu/call-for-appli…

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How to cite OpenMS

Röst, 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., Malmström, L., Aebersold, R., Reinert, K., Kohlbacher, O.

OpenMS: A flexible open-source software platform for mass spectrometry data analysis. Nature Methods, vol. 13, 2016. doi:10.1038/nmeth.3959