Pipelines & Workflow Elements

Darwin Diaproteomics

Data-independent acquisition (DIA) proteomics analysis using spectral library generation, OpenSWATH, and PyProphet for quantitative proteomics.

RunnableWorkflow

Catalog entry

About this entry

Data-independent acquisition (DIA) proteomics analysis using spectral library generation, OpenSWATH, and PyProphet for quantitative proteomics. Steps: Step 1: raw_convert; Step 2: spectral_library; Step 3: openswath; Step 4: pyprophet; Step 5: tric; Step 6: report. Verticals: proteomics, drug_discovery.

CategoryPipelines & Workflow Elements
StatusRunnable
InputFlexible research data
OutputResults ready for review

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.