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Bringing confidence to species identification : probabilistic and proteogenomic approaches for single organism samples and metaproteomes

Tanja Holstein (UGent)
(2025)
Author
Promoter
Thilo Muth and (UGent)
Organization

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Citation

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MLA
Holstein, Tanja. Bringing Confidence to Species Identification : Probabilistic and Proteogenomic Approaches for Single Organism Samples and Metaproteomes. Ghent University. Faculty of Medicine and Health Sciences, 2025.
APA
Holstein, T. (2025). Bringing confidence to species identification : probabilistic and proteogenomic approaches for single organism samples and metaproteomes. Ghent University. Faculty of Medicine and Health Sciences, Ghent, Belgium.
Chicago author-date
Holstein, Tanja. 2025. “Bringing Confidence to Species Identification : Probabilistic and Proteogenomic Approaches for Single Organism Samples and Metaproteomes.” Ghent, Belgium: Ghent University. Faculty of Medicine and Health Sciences.
Chicago author-date (all authors)
Holstein, Tanja. 2025. “Bringing Confidence to Species Identification : Probabilistic and Proteogenomic Approaches for Single Organism Samples and Metaproteomes.” Ghent, Belgium: Ghent University. Faculty of Medicine and Health Sciences.
Vancouver
1.
Holstein T. Bringing confidence to species identification : probabilistic and proteogenomic approaches for single organism samples and metaproteomes. [Ghent, Belgium]: Ghent University. Faculty of Medicine and Health Sciences; 2025.
IEEE
[1]
T. Holstein, “Bringing confidence to species identification : probabilistic and proteogenomic approaches for single organism samples and metaproteomes,” Ghent University. Faculty of Medicine and Health Sciences, Ghent, Belgium, 2025.
@phdthesis{01JQXTP4MGVB1DEEAJ3TRNYE12,
  author       = {{Holstein, Tanja}},
  language     = {{eng}},
  pages        = {{XXIII, 210}},
  publisher    = {{Ghent University. Faculty of Medicine and Health Sciences}},
  school       = {{Ghent University}},
  title        = {{Bringing confidence to species identification : probabilistic and proteogenomic approaches for single organism samples and metaproteomes}},
  year         = {{2025}},
}