Research Data Leeds Repository

Citation

Williams, Bevelynn and López-García, Martín and Gillard, Joseph J. and Laws, Thomas R. and Lythe, Grant and Carruthers, Jonathan and Finnie, Thomas and Molina-París, Carmen (2021) A stochastic intracellular model of anthrax infection with spore germination heterogeneity (Computer Codes). University of Leeds. [Dataset] https://doi.org/10.5518/1026

Dataset description

This dataset is related to the paper "A stochastic intracellular model of anthrax infection with spore germination heterogeneity", Frontiers in Immunology. It includes the posterior distribution samples of model parameters, along with computer codes in python to generate Figures 4, 5, 6, 7, 8, and 10 of the paper.

Keywords:	Bacillus anthracis, Markov process, intracellular model, spore germination, rupture size distribution, approximate Bayesian computation, time to macrophage rupture, dose-response
Subjects:	G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics
Related resources:	Location Type https://doi.org/10.3389/fimmu.2021.688257 Publication https://eprints.whiterose.ac.uk/175790/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	30 Jul 2021 15:19
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/875
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 Williams, Bevelynn https://orcid.org/0000-0002-9119-6568 University of Leeds https://ror.org/024mrxd33 ror López-García, Martín https://orcid.org/0000-0003-3833-8595 University of Leeds https://ror.org/024mrxd33 ror Gillard, Joseph J. https://orcid.org/0000-0001-7486-8927 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Laws, Thomas R. https://orcid.org/0000-0002-0142-9162 Defence Science and Technology Laboratory https://ror.org/04jswqb94 ror Lythe, Grant https://orcid.org/0000-0001-7966-5571 University of Leeds https://ror.org/024mrxd33 ror Carruthers, Jonathan https://orcid.org/0000-0002-1372-3254 Public Health England https://ror.org/00vbvha87 ror Finnie, Thomas https://orcid.org/0000-0001-5962-4211 Public Health England https://ror.org/00vbvha87 ror Molina-París, Carmen https://orcid.org/0000-0001-9828-6737 University of Leeds https://ror.org/024mrxd33 ror Los Alamos National Laboratory https://ror.org/01e41cf67 ror Type of data: Dataset Research funders: EPSRC CASE studentship with Dstl Grant numbers: 2345914 Publication date: 2021 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: bevelynnw@gmail.com Last Modified: 03 Jul 2024 13:47

Files

Documentation

README [3kB] README [3kB] README [3kB] Security: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

posterior_norm.txt [154kB] posterior_norm.txt [154kB] posterior_norm.txt [154kB] Security: Anyone File name: posterior_norm.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 154kB

posterior_2spore.txt [180kB] posterior_2spore.txt [180kB] posterior_2spore.txt [180kB] Security: Anyone File name: posterior_2spore.txt Content type: Data Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 180kB

Program

predictions_norm.py [13kB] predictions_norm.py [13kB] predictions_norm.py [13kB] Security: Anyone File name: predictions_norm.py Content type: Program License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 13kB

predictions_2spore.py [12kB] predictions_2spore.py [12kB] predictions_2spore.py [12kB] Security: Anyone File name: predictions_2spore.py Content type: Program License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 12kB

results_plots_fig5.py [18kB] results_plots_fig5.py [18kB] results_plots_fig5.py [18kB] Security: Anyone File name: results_plots_fig5.py Content type: Program License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 18kB

results_plots_fig6.py [10kB] results_plots_fig6.py [10kB] results_plots_fig6.py [10kB] Security: Anyone File name: results_plots_fig6.py Content type: Program License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB

results_plots_fig7.py [7kB] results_plots_fig7.py [7kB] results_plots_fig7.py [7kB] Security: Anyone File name: results_plots_fig7.py Content type: Program License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 7kB

discussion_plots.py [7kB] discussion_plots.py [7kB] discussion_plots.py [7kB] Security: Anyone File name: discussion_plots.py Content type: Program License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 7kB