basic_peptide_identification_with_inference

This workflow performs a basic peptide identification search, infers proteins and computes abundances using spectral counting.
The mzML files are searched with X!Tandem against a protein database. ProteinInference infers the proteins from peptide identifications
and ProteinQuantifier uses spectral counting to compute protein abundances.
No result files are written out. Instead the MzTabReader node allows access to a table of protein
identifications and the CSVReader node shows a table of the abundances.

Example input data:
To download the data from the archive linked below, check the box on the folder and click on the download button (arrow) on the top left.
Download and unpack the "Example_data" data into a directory "Example_data" inside your KNIME workspace.

External resources

• Home of the OpenMS plugin
• Example Data