MHCquant: Automated and Reproducible Data Analysis for Immunopeptidomics
Author:
Affiliation:
1. German Cancer Consortium (DKTK), DKFZ Partner Site, Tübingen 72076, Germany
2. Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen 72076, Germany
Funder
Bundesministerium f?r Bildung und Forschung
Deutsche Forschungsgemeinschaft
Medical Informatics Initiative
Publisher
American Chemical Society (ACS)
Subject
General Chemistry,Biochemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.9b00313
Reference73 articles.
1. Insights into MHC class I antigen processing gained from large-scale analysis of class I ligands
2. Towards a systems understanding of MHC class I and MHC class II antigen presentation
3. Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction
4. Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity
5. Reliable prediction of T-cell epitopes using neural networks with novel sequence representations
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