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  Multiscale modeling of influenza A virus replication in cell cultures predicts infection dynamics for highly different infection conditions

Rüdiger, D., Kupke, S. Y., Laske, T., Zmora, P., & Reichl, U. (2019). Multiscale modeling of influenza A virus replication in cell cultures predicts infection dynamics for highly different infection conditions. PLoS Computational Biology, 15(2): e1006819. doi:10.1371/journal.pcbi.1006819.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-E2B4-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-5DDF-A
Genre: Journal Article

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© 2019 Ruediger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproductionin any medium,provided the original author and source are credited.

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 Creators:
Rüdiger, Daniel1, Author              
Kupke, Sascha Young1, Author              
Laske, Tanja1, Author              
Zmora, Pawel1, Author              
Reichl, Udo1, 2, Author              
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Chair of Bioprocess Engineering, Institute of Process Engineering, Faculty of Process & Systems Engineering, Otto-von-Guericke University, Magdeburg, Germany, ou_persistent22              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1371/journal.pcbi.1006819
Other: pubdata_escidoc:3060506
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 15 (2) Sequence Number: e1006819 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1