A multi-omics systems vaccinology resource to develop and test computational models of immunity


Journal article


Pramod Shinde, Ferran Soldevila, Joaquin Reyna, Minori Aoki, Mikkel Rasmussen, Lisa Willemsen, Mari Kojima, Brendan Ha, Jason A. Greenbaum, James A. Overton, Hector Guzman-Orozco, Somayeh Nili, Shelby Orfield, Jeremy P. Gygi, Ricardo da Silva Antunes, Alessandro Sette, Barry Grant, Lars Rønn Olsen, Anna Konstorum, Leying Guan, Ferhat Ay, Steven H. Kleinstein, Bjoern Peters
Cell Reports Methods, vol. 4, Elsevier, 2024 Mar


Cite

Cite

APA   Click to copy
Shinde, P., Soldevila, F., Reyna, J., Aoki, M., Rasmussen, M., Willemsen, L., … Peters, B. (2024). A multi-omics systems vaccinology resource to develop and test computational models of immunity. Cell Reports Methods, 4. https://doi.org/10.1016/j.crmeth.2024.100731


Chicago/Turabian   Click to copy
Shinde, Pramod, Ferran Soldevila, Joaquin Reyna, Minori Aoki, Mikkel Rasmussen, Lisa Willemsen, Mari Kojima, et al. “A Multi-Omics Systems Vaccinology Resource to Develop and Test Computational Models of Immunity.” Cell Reports Methods 4 (March 2024).


MLA   Click to copy
Shinde, Pramod, et al. “A Multi-Omics Systems Vaccinology Resource to Develop and Test Computational Models of Immunity.” Cell Reports Methods, vol. 4, Elsevier, Mar. 2024, doi:10.1016/j.crmeth.2024.100731.


BibTeX   Click to copy

@article{shinde2024a,
  title = {A multi-omics systems vaccinology resource to develop and test computational models of immunity},
  year = {2024},
  month = mar,
  journal = {Cell Reports Methods},
  publisher = {Elsevier},
  volume = {4},
  doi = {10.1016/j.crmeth.2024.100731},
  author = {Shinde, Pramod and Soldevila, Ferran and Reyna, Joaquin and Aoki, Minori and Rasmussen, Mikkel and Willemsen, Lisa and Kojima, Mari and Ha, Brendan and Greenbaum, Jason A. and Overton, James A. and Guzman-Orozco, Hector and Nili, Somayeh and Orfield, Shelby and Gygi, Jeremy P. and Antunes, Ricardo da Silva and Sette, Alessandro and Grant, Barry and Olsen, Lars Rønn and Konstorum, Anna and Guan, Leying and Ay, Ferhat and Kleinstein, Steven H. and Peters, Bjoern},
  month_numeric = {3}
}

Shinde et al. establish a community resource to compare patients’ vaccine responses and to host annual contests to predict vaccination outcomes. They find specifically trained multi-omics models and simple age-based models outperformed.

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