Lennart Martens

Latest

• Immunopeptidomics-based design of mRNA vaccine formulations against Listeria monocytogenes
• MS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates
• Sensitive and Specific Spectral Library Searching with CompOmics Spectral Library Searching Tool and Percolator
• A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics
• MS²DIP: Highly accurate MS2 spectrum prediction for modified peptides & MS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates
• DeepLC can predict retention times for peptides that carry as-yet unseen modifications
• Personalized Proteome: Comparing Proteogenomics and Open Variant Search Approaches for Single Amino Acid Variant Detection
• Spectral prediction features as a solution for the search space size problem in proteogenomics
• Cov-MS: A Community-Based Template Assay for Mass-Spectrometry-Based Protein Detection in SARS-CoV-2 Patients
• The Age of Data-Driven Proteomics: How Machine Learning Enables Novel Workflows
• Removing the Hidden Data Dependency of DIA with Predicted Spectral Libraries
• MS²PIP: Predicting peptide spectrum peak intensities to improve proteomics identification
• MS²PIP : fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques
• Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques
• Fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques
• Fast and accurate MS² peak intensity predictions for multiple fragmentation methods, instruments and labeling techniques
• Fast and accurate MS² peak intensity predictions for multiple fragmentation methods, instruments and labeling techniques
• MS² peak intensity prediction for specific PTMs, fragmentation techniques and instruments