English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Multiscale model of defective interfering particle replication for influenza A virus infection in animal cell culture

Rüdiger, D., Pelz, L., Hein, M. D., Kupke, S. Y., & Reichl, U. (2021). Multiscale model of defective interfering particle replication for influenza A virus infection in animal cell culture. PLoS Computational Biology, 17: e1009357. doi:10.1371/journal.pcbi.1009357.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
rüdiger_3341232.pdf (Publisher version), 4MB
Name:
rüdiger_3341232.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© 2021 Rüdiger et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Locators

show

Creators

show
hide
 Creators:
Rüdiger, Daniel1, Author           
Pelz, Lars1, Author           
Hein, Marc D.2, Author
Kupke, Sascha Young1, 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              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1009357
Other: pubdata_escidoc:3341232
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS Computational Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 17 Sequence Number: e1009357 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1