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/10.5518/358¹

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 mathematics2
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics3
Related resources:	Location Type https://doi.org/10.3389/fmicb.2018.011654 Publication https://eprints.whiterose.ac.uk/130907/5 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/3756
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Carruthers, Jonathan https://orcid.org/0000-0002-1372-32547 University of Leeds https://ror.org/024mrxd33 ror López-García, Martín https://orcid.org/0000-0003-3833-85958 University of Leeds https://ror.org/024mrxd33 ror Gillard, Joseph J. https://orcid.org/0000-0001-7486-89279 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Laws, Thomas R. https://orcid.org/0000-0002-0142-916210 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Lythe, Grant https://orcid.org/0000-0001-7966-557111 University of Leeds https://ror.org/024mrxd33 ror Molina-París, Carmen https://orcid.org/0000-0001-9828-673712 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: MRC, EPSRC iCASE with Dstl Grant numbers: MR/N014855/1, DSTLX 100097863 Publication date: 2018 Resource language: English Metadata language: English Research project title: A stochastic multi-scale model of Francisella tularensis infection (data and computer codes) Publisher: University of Leeds Contact email: m.lopezgarcia@leeds.ac.uk13 Last Modified: 27 Jan 2025 15:14

Files

Documentation

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Data

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