Clerx, M., Cooling, M. T., Cooper, J., Garny, A., Moyle, K., Nickerson, D. P., . . . Sorby, H. (2020). CellML 2.0. Journal of integrative bioinformatics, 17 (2-3). doi:10.1515/jib-2020-0021

Cooper, F., Baker, R., Bernabeu, M., Bordas, R., Bowler, L., Bueno-Orovio, A., . . . Gavaghan, D. (2020). Chaste: Cancer, Heart and Soft Tissue Environment. Journal of Open Source Software, 5 (47), 1848. doi:10.21105/joss.01848

Daly, A. C., Gavaghan, D., Cooper, J., & Tavener, S. (2018). Inference-based assessment of parameter identifiability in nonlinear biological models. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 15 (144), ARTN 20180318. doi:10.1098/rsif.2018.0318

Daly, A. C., Clerx, M., Beattie, K. A., Cooper, J., Gavaghan, D. J., & Mirams, G. R. (2018). Reproducible model development in the cardiac electrophysiology Web Lab. PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 139, 3-14. doi:10.1016/j.pbiomolbio.2018.05.011

Daly, A., Clerx, M., Beattie, K., Cooper, J., Gavaghan, D., & Mirams, G. (2018). Reproducible model development in the Cardiac Electrophysiology Web Lab. . doi:10.1101/257683

Bergmann, F. T., Cooper, J., König, M., Moraru, I., Nickerson, D., Le Novère, N., . . . Waltemath, D. (2018). Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3). Journal of integrative bioinformatics, 15 (1). doi:10.1515/jib-2017-0086

Gavaghan, D. J., Cooper, J., Daly, A. C., Gill, C., Gillow, K., Robinson, M., . . . Bond, A. M. (2018). Use of Bayesian inference for parameter recovery in DC and AC Voltammetry. ChemElectroChem. doi:10.1002/celc.201700678

Daly, A. C., Cooper, J., Gavaghan, D. J., & Holmes, C. (2017). Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models. Journal of the Royal Society Interface.

Cooper, J., Scharm, M., & Mirams, G. R. (2016). The Cardiac Electrophysiology Web Lab. BIOPHYSICAL JOURNAL, 110 (2), 292-300. doi:10.1016/j.bpj.2015.12.012

Lewis, J., Breeze, C. E., Charlesworth, J., Maclaren, O. J., & Cooper, J. (2016). Where next for the reproducibility agenda in computational biology?. BMC SYSTEMS BIOLOGY, 10, ARTN 52. doi:10.1186/s12918-016-0288-x