A simulation framework to investigate in vitro viral infection dynamics
Virus infection is a complex biological phenomenon for which in vitro experiments provide a uniquely concise view where data is often obtained from a single population of cells, under controlled environmental conditions. Nonetheless, data interpretation and real understanding of viral dynamics is st...
Saved in:
Main Authors: | Bankhead, Armand, Mancini, Emiliano, McWeeney, Shannon, Sims, Amy C., Baric, Ralph S., Sloot, Peter M. A. |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/96899 http://hdl.handle.net/10220/10118 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A simulation framework to investigate in vitro viral infection dynamics
by: Bankhead, Armand, et al.
Published: (2013) -
Modeling HIV-1 intracellular replication : two simulation approaches
by: Zarrabi, Narges., et al.
Published: (2013) -
Cancer stem cell tumor model reveals invasive morphology and increased phenotypical heterogeneity
by: Sottoriva, Andrea, et al.
Published: (2013) -
A framework for HLA-based interactive simulations on the grid
by: Rycerz, Katarzyna, et al.
Published: (2013) -
Autoantibodies in viral infection
by: S. Boonpucknavig, et al.
Published: (2018)