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

Second OpenMS Documentation Update

11.05.2022

The OpenMS team has won a 2022 Google Season of Docs grant to update the OpenMS documentation. Combined with money from the University of Tübingen, a team of three technical writers will review and rewrite OpenMS documentation. The 2022 team consists of Rahul Agrawal, Christina Kumar and Tapasweni Pathak.

Read more

Testimonials

Recent Tweets

OpenMS Team
23 Nov
OpenMS Team
@OpenMSTeam

Worried about not having data to show at the next group meeting? Make interactive plots to distract/impress!😆PyOpenMS lets you interface with python packages to make interactive MS data. Here, we used it to zoom on an ion mobility trace #TeamMassSpec Doc: pyopenms.readthedocs.io/en/la… pic.twitter.com/zR1jfjw4mg

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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