Research Data Leeds Repository
A novel stochastic multi-scale model of Francisella tularensis infection to predict risk of infection in a laboratory (computer codes)
Citation
Carruthers, Jonathan and López-García, Martín 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 | ||||||
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Divisions: | Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics | ||||||
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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 | ||||||