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Long-Term Propagation of Influenza A Virus and Its Defective Interfering Particles: Analyzing Dynamic Competition to Select Antiviral Candidates

MPS-Authors
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Pelz,  Lars
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Rüdiger,  Daniel
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Dogra,  Tanya
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Genzel,  Yvonne
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Kupke,  Sascha Young
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Reichl,  Udo
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Citation

Pelz, L., Rüdiger, D., Dogra, T., Alnaji, F., Genzel, Y., Brooke, C., et al. (2022). Long-Term Propagation of Influenza A Virus and Its Defective Interfering Particles: Analyzing Dynamic Competition to Select Antiviral Candidates. Poster presented at Vaccine Technology VIII, Sitges (Spain).


Cite as: https://hdl.handle.net/21.11116/0000-000A-C05D-5
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