Hub
Pricing About
NodeNode / Manipulator

FeatureFinderMetaboIdent

Community NodesOpenMSQuantitation
Drag & drop
Like

Detects features in MS1 data based on metabolite identifications.

Web Documentation for FeatureFinderMetaboIdent

Node details

Input ports
  1. Type: URI Object
    in [mzML]
    Input file: LC-MS raw data [mzML]
  2. Type: URI Object
    id [tsv]
    Input file: Metabolite identifications [tsv]
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
    trafo_out [trafoXML]
    Output file: Retention times (expected vs. observed) [trafoXML]
  5. Type: URI Object
    candidates_out []
    Optional output file: Feature candidates (before filtering and model fitting). []

Extension

The FeatureFinderMetaboIdent node is part of this extension:

  1. Go to item

Related workflows & nodes

  1. Go to item
  2. Go to item
  3. Go to item

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits