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  Single-cell analysis and stochastic modelling unveil large cell-to-cell variability in influenza A virus infection

Heldt, F. S., Kupke, S. Y., Dorl, S., Frensing, T., & Reichl, U. (2015). Single-cell analysis and stochastic modelling unveil large cell-to-cell variability in influenza A virus infection. Nature Communications, 6: 8938. doi:10.1038/ncomms9938.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-1A2E-C Version Permalink: https://hdl.handle.net/21.11116/0000-0002-853D-4
Genre: Journal Article

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This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material.
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 Creators:
Heldt, Frank S.1, Author           
Kupke, Sascha Young1, Author           
Dorl, Sebastian1, Author           
Frensing, Timo1, 2, Author           
Reichl, Udo1, 2, Author           
Affiliations:
1Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Dates: 2015
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/ncomms9938
Other: 37/15
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Title: Nature Communications
Source Genre: Journal
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Pages: - Volume / Issue: 6 Sequence Number: 8938 Start / End Page: - Identifier: ISSN: 2041-1723