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OpenMS
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Groups corresponding features from multiple maps using a QT clustering approach.
potential predecessor tools | → FeatureLinkerUnlabeledQT → | potential successor tools |
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FeatureFinderCentroided (or another feature detection algorithm) | ProteinQuantifier | |
MapAlignerPoseClustering (or another map alignment algorithm) | TextExporter | |
SeedListGenerator |
Reference:
Weisser et al.: An automated pipeline for high-throughput label-free quantitative proteomics (J. Proteome Res., 2013, PMID: 23391308).
This tool provides an algorithm for grouping corresponding features in multiple runs of label-free experiments. For more details and algorithm-specific parameters (set in the ini file) see "Detailed Description" in the algorithm documentation".
FeatureLinkerUnlabeledQT takes several feature maps (featureXML files) and stores the corresponding features in a consensus map (consensusXML file). Feature maps can be created from MS experiments (peak data) using one of the FeatureFinder TOPP tools.
The command line parameters of this tool are:
INI file documentation of this tool: