Identify and quantify peptides from mass spectrometry raw data
nfcore/mhcquant is a bioinformatics analysis pipeline used for quantitative processing of data dependant (DDA) peptidomics data.
It was specifically designed to analyse immunopeptidomics data, which deals with the analysis of affinity purified, unspecifically cleaved peptides that have recently been discussed intensively in the context of cancer vaccines.
The workflow is based on the OpenMS C++ framework for computational
Creator: Leon Bichmann
Submitter: Finn Bacall