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A novel stochastic multi-scale model of Francisella tularensis infection to predict risk of infection in a laboratory (computer codes)

Carruthers, Jonathan and López-García, Martin and Gillard, Joseph J. and Laws, Thomas R. and Lythe, Grant and Molina-París, Carmen (2018) A novel stochastic multi-scale model of Francisella tularensis infection to predict risk of infection in a laboratory (computer codes). University of Leeds. [Dataset] https://doi.org/10.5518/358

Dataset description

Data and computer codes related to the results of the paper "A stochastic multi-scale model of Francisella tularensis infection", Frontiers in Microbiology.

Subjects: G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
Divisions: Faculty of Mathematics and Physical Sciences > School of Mathematics > Department of Applied Mathematics
Related resources:
LocationType
http://doi.org/10.3389/fmicb.2018.01165Publication
http://eprints.whiterose.ac.uk/130907/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 12 Jun 2018 15:26
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/375

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