Published November 2, 2021 | Version 2.0
Dataset Open

Code and data sets for "MS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates"

  • 1. VIB-UGent Center for Medical Biotechnology, VIB, Belgium; Department of Biomolecular Medicine, Ghent University, Belgium
  • 2. Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS

Description

Code used to prepare data sets, train and evaluate new MS²PIP models, evaluate MS²Rescore for immunopeptidomics, and generate figures. See README.md for more information on how to use these files and reproduce the results reported in the manuscript titled "MS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates".

Files

collision_energy_data.zip

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