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Wilhelm M, Zolg DP, Graber M, et al. Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nat Commun. 2021;12(1):4002doi: 10.1038/s41467-021-24263-w.
Wilhelm, M., Zolg, D. P., Graber, M., Gessulat, S., Schmidt, T., Schnatbaum, K., Schwencke-Westphal, C., Seifert, P., de Andrade Krätzig, N., Zerweck, J., Knaute, T., Bräunlein, E., Samaras, P., Lautenbacher, L., Klaeger, S., Wenschuh, H., Rad, R., Delanghe, B., Huhmer, A., Carr, S. A., Clauser, K. R., Krackhardt, A. M., Reimer, U., & Kuster, B. (2021). Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nature communications, 12(1), 4002. https://doi.org/10.1038/s41467-021-24263-w
Wilhelm, Mathias, et al. "Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics." Nature communications vol. 12,1 (2021): 4002. doi: https://doi.org/10.1038/s41467-021-24263-w
Wilhelm M, Zolg DP, Graber M, Gessulat S, Schmidt T, Schnatbaum K, Schwencke-Westphal C, Seifert P, de Andrade Krätzig N, Zerweck J, Knaute T, Bräunlein E, Samaras P, Lautenbacher L, Klaeger S, Wenschuh H, Rad R, Delanghe B, Huhmer A, Carr SA, Clauser KR, Krackhardt AM, Reimer U, Kuster B. Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nat Commun. 2021 Jun 23;12(1):4002. doi: 10.1038/s41467-021-24263-w. PMID: 34162890; PMCID: PMC8222294.
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Nat Commun. 2021 Jun 23;12(1):4002. doi: 10.1038/s41467-021-24263-w.

Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.

Nature communications

Mathias Wilhelm, Daniel P Zolg, Michael Graber, Siegfried Gessulat, Tobias Schmidt, Karsten Schnatbaum, Celina Schwencke-Westphal, Philipp Seifert, Niklas de Andrade Krätzig, Johannes Zerweck, Tobias Knaute, Eva Bräunlein, Patroklos Samaras, Ludwig Lautenbacher, Susan Klaeger, Holger Wenschuh, Roland Rad, Bernard Delanghe, Andreas Huhmer, Steven A Carr, Karl R Clauser, Angela M Krackhardt, Ulf Reimer, Bernhard Kuster

Affiliations

  1. Computational Mass Spectrometry, Technical University of Munich (TUM), Freising, Germany. [email protected].
  2. Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany. [email protected].
  3. Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
  4. JPT Peptide Technologies GmbH, Berlin, Germany.
  5. Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, School of Medicine, Technical University of Munich (TUM), Munich, Germany.
  6. German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), Heidelberg, Germany.
  7. Center for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technical University of Munich (TUM), Munich, Germany.
  8. Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technical University of Munich (TUM), Munich, Germany.
  9. Klinik und Poliklinik für Innere Medizin II, Klinikum rechts der Isar, School of Medicine, Technical University of Munich (TUM), Munich, Germany.
  10. Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  11. Thermo Fisher Scientific, Bremen, Germany.
  12. Thermo Fisher Scientific, San Jose, CA, USA.
  13. Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany. [email protected].
  14. Bavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich (TUM), Freising, Germany. [email protected].

PMID: 34162890 PMCID: PMC8222294 DOI: 10.1038/s41467-021-24263-w

[No abstract available.]

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