Pipelines & Workflow Elements
Darwin Metaboigniter
End-to-end LC-MS metabolomics pipeline with feature detection, alignment, identification, and statistical analysis
RunnableWorkflow
Catalog entry
About this entry
End-to-end LC-MS metabolomics pipeline with feature detection, alignment, identification, and statistical analysis Steps: Step 1: mzML Conversion (ThermoRawFileParser); Step 2: Feature Detection (OpenMS); Step 3: Feature Alignment (MapAlignerPoseClustering); Step 4: Gap Filling; Step 5: Metabolite Identification (SIRIUS); Step 6: Statistical Analysis (CAMERA/MetaboAnalyst); Step 7: MetaboIgniter Report. Verticals: metabolomics.
Use in DarwinOmics
How to use it
Use this workflow element when the submitted analysis needs a multi-step execution path, imported workflow, Darwinomics wrapper, or workflow-scale comparison rather than a single module.