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++11

License:


BSD-clause-3

Supported Platforms:


Windows


Linux


macOS

Recent News

OpenMS + DigitalOcean Hacktoberfest 2020 on GitHub

25.09.2020

Dear developers, it’s this time of the year again. Helping out open-source software gets even more rewarding. Sign up online with your GitHub profile Clone OpenMS git clone https://github.com/OpenMS/OpenMS Build OpenMS Do 4 pull requests and get them accepted during October. See a list of easy issues to tackle here. Get a free T-shirt and earn our …

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Testimonials

Recent Tweets

OpenMS Team
23 Sep
OpenMS Team
@OpenMSTeam

@Smith_Chem_Wisc @SpecInformatics If you want to look into details of one of those workflows check out github.com/nf-core/proteo… . Searching raw files in parallel, do inference on all IDs (EPIFANY) and perform quantification and downstream analysis worked well. Not implemented here yet: PTXQC

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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