OpenMS

basic_​peptide_​identification 

This workflow performs a basic peptide identification search. The mzML files are searched with X!Tandem against a protein database. The results are written […]

basic_​peptide_​identification_​with_​inference_​and_​spectral_​counting 

DIAMetAlyzer_​2.0 

To run the workfow: It works best to have a conda environment added to KNIME (File -> Preferences -> KNIME -> Python). Please install the following python […]

Identification_​quantification_​with_​inference_​isobaric_​epifany_​MSstatsTMT 

## Description OpenMS exam workflow for the analysis of isobaric data (e.g. TMT). A) Quantification via the IsobaricAnalzyer B) Score estimation and […]

labelfree_​with_​protein_​quantification 

Identification with X!Tandem in the ID meta node, Protein Inference with Fido and protein quantification based on feature intensities with […]

Metabolite_​Adduct_​Grouping 

Uses accurate mass based on multiple adduct grouping steps (adducts, neutral losses). Example input data: To download the data from the archive linked […]

Metabolite_​DeNovoID 

Uses adduct grouping and de-novo identification with SIRIUS/CSI:FingerID. Example input data: To download the data from the archive linked below, check the […]

Metabolite_​ID 

Quantification and identification via accurate mass search with downstream processing and visualisation. Example input data: To download the data from the […]

Metabolite_​SpectralID 

Identification of small molecules via spectral library search using MetaboliteSpectralMatcher. Example input data: To download the data from the archive […]

MSstats_​statPostProcessing_​iPRG2015 

Uses MSstatsConverter to make tables that are processed in short R code scripts in various nodes. A consensusXML file from an LFQ workflow is required as […]