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OpenMS
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Decharges a feature map by clustering charge variants of metabolites to zero-charge entities and optionally detects multimers.
| pot. predecessor tools | → MetaboliteAdductDecharger → | pot. successor tools |
|---|---|---|
| FeatureFinderMetabo |
The Decharger uses an ILP approach to group charge variants of the same metabolite, which usually occur in ESI ionization mode. The resulting zero-charge metabolites, which are defined by RT and mass, are written to consensusXML. Intensities of charge variants are summed up. The position of the zero charge variant is the average of all clustered metabolites in each dimension (m and RT). For clustered metabolites, the reported m/z is thus their neutral mass. For unclusted features with known charge, a default adduct (protonation for positive mode, deprotonation for negative mode) is assumed to compute the neutral mass. For unclustered features without known charge, m/z zero is reported. It is also possible to include adducted species to the charge ladders (see 'potential_adducts' parameter). Via this mechanism it is also possible to use this tool to find pairs/triples/quadruples/... in labeled data (by specifing the mass tag weight as an adduct). If mass tags induce an RT shift (e.g. deuterium labeled data) you can also specify this also in the adduct list. This will allow to tighten the RT search window, thus reducing false positive results.
The tool can also detect multimers (dimers, trimers, etc.) via the 'max_multimer' parameter. For example, setting max_multimer=2 enables detection of charge-changing multimer relationships such as [M+H]+ and [2M+2H]2+, which are common in lipidomics. The default value of 1 disables multimer detection for backward compatibility.
This tool is derived from the method described in the following publication:
Bielow C, Ruzek S, Huber CG, Reinert K. Optimal decharging and clustering of charge ladders generated in ESI-MS. J Proteome Res 2010; 9: 2688.
DOI: 10.1021/pr100177k
The command line parameters of this tool are:
MetaboliteAdductDecharger -- Decharges and merges different feature charge variants of the same metabolite;
optionally detects multimers.
Full documentation: http://www.openms.de/doxygen/nightly/html/TOPP_MetaboliteAdductDecharger.html
Version: 3.6.0-pre-nightly-2026-03-27 Mar 28 2026, 01:46:35, Revision: cb6c7d1
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:
MetaboliteAdductDecharger <options>
This tool has algorithm parameters that are not shown here! Please check the ini file for a detailed descript
ion or use the --helphelp option
Options (mandatory options marked with '*'):
-in <file>* Input file (valid formats: 'featureXML')
-out_cm <file> Output consensus map (valid formats: 'consensusXML')
-out_fm <file> Output feature map (valid formats: 'featureXML')
-outpairs <file> Output file (valid formats: 'consensusXML')
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)
The following configuration subsections are valid:
- algorithm Feature decharging algorithm section
You can write an example INI file using the '-write_ini' option.
Documentation of subsection parameters can be found in the doxygen documentation or the INIFileEditor.
For more information, please consult the online documentation for this tool:
- http://www.openms.de/doxygen/nightly/html/TOPP_MetaboliteAdductDecharger.html
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.