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High-throughput prediction of MHC Class I and Class II neoantigens with MHCnuggets
XM Shao, R Bhattacharya, J Huang, IKA Sivakumar, C Tokheim, L Zheng, B Kaminow, A Omdahl, M Bonsack, AB Riemer, VE Velculescu, V Anagnostou, KA Pagel, View ORCID ProfileR Karchin
doi: https://doi.org/10.1101/752469
XM Shao
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
R Bhattacharya
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
3Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
J Huang
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
3Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
IKA Sivakumar
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
3Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
4Applied Physics Laboratory, Johns Hopkins University, Laurel, MD, USA
C Tokheim
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
L Zheng
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
5McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
B Kaminow
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
6Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA
A Omdahl
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
M Bonsack
7Immunotherapy and Immunoprevention, German Cancer Research Center (DKFZ), Heidelberg, Germany
8Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, Heidelberg, Germany
9Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
AB Riemer
7Immunotherapy and Immunoprevention, German Cancer Research Center (DKFZ), Heidelberg, Germany
8Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, Heidelberg, Germany
VE Velculescu
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
5McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
10The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
V Anagnostou
10The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
KA Pagel
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
R Karchin
1Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
10The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
Article usage
Posted August 31, 2019.
High-throughput prediction of MHC Class I and Class II neoantigens with MHCnuggets
XM Shao, R Bhattacharya, J Huang, IKA Sivakumar, C Tokheim, L Zheng, B Kaminow, A Omdahl, M Bonsack, AB Riemer, VE Velculescu, V Anagnostou, KA Pagel, R Karchin
bioRxiv 752469; doi: https://doi.org/10.1101/752469
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