Research Data Leeds Repository

Dataset

Williams, Bevelynn, López-García, Martín, Gillard, Joseph J., Laws, Thomas R., Lythe, Grant, Carruthers, Jonathan, 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

Lythe, Grant, Majumdar, Shamik, Molina-París, Carmen and Nandi, Dipankar (2020) Agent-based model of heterogeneous T cell activation in vitro (supplementary material). University of Leeds. [Dataset] https://doi.org/10.5518/880

Carruthers, Jonathan, Lythe, Grant, López-García, Martín, Gillard, Joseph J., Laws, Thomas R., Lukaszewski, Roman and Molina-París, Carmen (2020) Dataset associated with "Stochastic dynamics of Francisella Tularensis infection and replication". University of Leeds. [Dataset] https://doi.org/10.5518/792

Liao, Laura E., Carruthers, Jonathan, Smither, Sophie J., Weller, Simon A., Williamson, Diane, Laws, Thomas R., García-Dorival, Isabel, Hiscox, Julian, Holder, Benjamin P., Beauchemin, Catherine A. A., Perelson, Alan S., López-García, Martín, Lythe, Grant, Barr, John and Molina-París, Carmen, CL4 Virology Team (2020) Dataset associated with 'Quantification of Ebola virus replication kinetics in vitro'. University of Leeds. [Dataset] https://doi.org/10.5518/915

Castro, Mario, López-García, Martín, Lythe, Grant and Molina-París, Carmen (2018) First passage events in biological systems with non-exponential inter-event times (computer codes). University of Leeds. [Dataset] https://doi.org/10.5518/359

Carruthers, Jonathan, López-García, Martín, Gillard, Joseph J., Laws, Thomas R., 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