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OpenMS
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Util which can be used to evaluate pairs of MRM experiments.
The command line parameters of this tool are:
MRMPairFinder -- Util which can be used to evaluate labeled pair ratios on MRM features.
Full documentation: http://www.openms.de/doxygen/nightly/html/TOPP_MRMPairFinder.html
Version: 3.6.0-pre-nightly-2026-03-06 Mar 7 2026, 01:46:19, Revision: c92c980
To cite OpenMS:
+ Pfeuffer, J., Bielow, C., Wein, S. et al.. OpenMS 3 enables reproducible analysis of large-scale mass spec
trometry data. Nat Methods (2024). doi:10.1038/s41592-024-02197-7.
Usage:
MRMPairFinder <options>
Options (mandatory options marked with '*'):
-in <file>* Input featureXML file containing the features of the MRM experiment spectra. (valid
formats: 'featureXML')
-pair_in <file>* Pair-file in the format: prec-m/z-light prec-m/z-heavy frag-m/z-light frag-m/z-heavy
rt (valid formats: 'csv')
-out <file>* Output consensusXML file were the pairs of the features will be written to. (valid
formats: 'consensusXML')
-feature_out <file> Output featureXML file, only written if given, skipped otherwise. (valid formats: 'fea
tureXML')
Common TOPP options:
-ini <file> Use the given TOPP INI file
-threads <n> Sets the number of threads allowed to be used by the TOPP tool (default: '1')
-write_ini <file> Writes the default configuration file
--help Shows options
--helphelp Shows all options (including advanced)
INI file documentation of this tool:
This section lists all parameters supported by the tool. Parameters are organized into hierarchical subsections that group related settings together. Subsections may contain further subsections or individual parameters.
Each parameter entry contains the following information:
Parameter tags provide additional information about how a parameter is used. Some tags indicate whether a parameter is required or intended for advanced configuration, while others may be used internally by OpenMS or workflow tools.
Parameters highlighted as required must be specified for the tool to run successfully. Parameters marked as advanced allow fine-tuning of algorithm behavior and are typically not needed for standard workflows.