OpenMS
OpenMS is an open-source software C++ library for LC-MS data management and analyses.
An open-source C++ and Python platform for LC-MS/MS proteomics and metabolomics data processing, quantification, and workflow development.
About the Project
Why use this?
OpenMS provides a mature C++ framework and Python bindings for managing and analyzing liquid-chromatography mass-spectrometry data. It includes the OpenMS Pipeline (TOPP), a large set of command-line tools for peak picking, feature finding, identification, quantification, statistical analysis, and workflow execution.
Proteomics engineers choose OpenMS when they need a reproducible, extensible platform for high-throughput MS data analysis. It supports open HUPO-compliant formats such as mzML and mzXML, integrates with workflow engines including Galaxy and KNIME, and provides pyOpenMS for custom Python analysis and algorithm development. [296][303][308]
Key Features
- LC-MS/MS data management and analysis for proteomics and metabolomics
- TOPP command-line tools and ready-made analysis workflows
- pyOpenMS Python bindings for custom scripting
- Support for mzML, mzXML, and other standardized formats
- Workflow integration with Galaxy, KNIME, and similar systems
- Reference / Repo
- https://github.com/OpenMS/OpenMS
- Tool / Hosted
- https://openms.de/
- Replaces / Alternative to
- MaxQuant, Progenesis QI, commercial proteomics analysis suites
- Free layer
- open-source