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OpenMS
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Converter to input for Triqler.
This util consumes an ID-mapped consensusXML file and OpenMS experimental design in TSV format to create a CSV file which can subsequently be used as input for the python tool Triqler [1].
[1] The, M. & Käll, L. (2019). Integrated identification and quantification error probabilities for shotgun proteomics. Molecular & Cellular Proteomics, 18 (3), 561-570.
The command line parameters of this tool are:
TriqlerConverter -- Converter to input for Triqler
Full documentation: http://www.openms.de/doxygen/nightly/html/TOPP_TriqlerConverter.html
Version: 3.6.0-pre-nightly-2026-04-01 Apr 2 2026, 01:47:25, Revision: bbb059e
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:
TriqlerConverter <options>
Options (mandatory options marked with '*'):
-in <in>* Input consensusXML with peptide intensities (valid formats: 'consen
susXML')
-in_design <in_design>* Experimental Design file (valid formats: 'tsv')
-Triqler_condition <Triqler_condition> Which column in the condition table should be used for Triqler 'Con
dition' (default: 'Triqler_Condition')
-out <out>* Input CSV file for Triqler. (valid formats: 'csv')
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 (def
ault: '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.