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Tutorial Workflows OpenMS 3.0

This directory contains 19 workflows.

IconMSstatsTMT 

Post processing workflow for MSstatsTMT. Requires output from MSstatsConverter output. As an example input, an intermediate result from the […]

IconopenmsLFQ_​iPRG2015 

Simple workflow for peptide identification and quantification. No smart protein inference is done and all possible proteins are reported for each […]

IconOpenSwath 

Directly uses the OpenSWATHWorkflow node with inputs and outputs. Requires an existing Assay Library as input. Example input data: To download the data […]

IconPhosphoproteomics_​ID 

Uses MSGFPlus and Percolator for peptide identification, Luciphor to identify phosphorylation sites on peptide sequences and then Epifany for protein […]

IconProtein label-free quantification 

This workflow performs a quantification of proteins from (label-free) mass-spectrometry data. The final results are relative comparisons of protein levels […]

IconProteomics_​LFQ 

Combines peptide identifications from X!Tandem and Comet. Uses normalized feature intensities for peptide quantification. No smart protein inference, all […]

IconQC Metanodes 

These QC metanodes are preconfigured to be plugged into your workflow. Remember to adapt contained input nodes where applicable.

IconQC_​with_​OpenMS 

Uses X!Tandem to identify peptides and then uses various Meta Nodes for QC metrics. Requires mzML spectrum files as input, and a protein database has to be […]

IconQC_​with_​OpenMS_​noggplot 

Uses X!Tandem to identify peptides and then uses various Meta Nodes for QC metrics. Requires mzML spectrum files as input, and a protein database has to be […]