FeatureFinderIdentification

Detects features in MS1 data based on peptide identifications.

Web Documentation for FeatureFinderIdentification

Input ports

1. Type: URI Object
   in [mzML]
   Input file: LC-MS raw data [mzML]
2. Type: URI Object
   id [idXML]
   Input file: Peptide identifications derived directly from 'in' [idXML]
3. Type: URI Object
   id_ext [idXML]
   Input file: 'External' peptide identifications (e.g. from aligned runs) [idXML,opt.]
4. Type: URI Object
   candidates_in [featureXML]
   Input file: Feature candidates from a previous run. If set, only feature classification and elution model fitting are carried out, if enabled. Many parameters are ignored. [featureXML,opt.]

Output ports

1. Type: URI Object
   out [featureXML]
   Output file: Features [featureXML]
2. Type: URI Object
   lib_out [traML]
   Output file: Assay library [traML]
3. Type: URI Object
   chrom_out [mzML]
   Output file: Chromatograms [mzML]
4. Type: URI Object
   candidates_out [featureXML]
   Output file: Feature candidates (before filtering and model fitting) [featureXML]
5. Type: URI Object
   xval_out [csv]
   Output file: SVM cross-validation (parameter optimization) results [csv]