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OpenMS
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Extracts 'n' peptides randomly or best 'n' from idXML files.
Input and output format are 'idXML'. The tools allows you to extract subsets of peptides from idXML files.
The command line parameters of this tool are:
IDExtractor -- Extracts 'n' peptides randomly or best 'n' from idXML files.
Full documentation: http://www.openms.de/doxygen/nightly/html/TOPP_IDExtractor.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:
IDExtractor <options>
Options (mandatory options marked with '*'):
-in <file>* Input file (valid formats: 'idXML')
-out <file>* Output file (valid formats: 'idXML')
-number_of_peptides <int> Number of randomly chosen peptides (default: '10') (min: '1')
-number_of_rand_invokations <int> Number of rand invocations before random draw (basically a seed) (defaul
t: '0') (min: '0')
-best_hits If this flag is set the best n peptides are chosen.
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.