Chaste: A test-driven approach to software development for biological modelling. - Joe Pitt-Francis; Pras Pathmanathan; Miguel O. Bernabeu; Rafel Bordas; Jonathan Cooper; Alexander G. Fletcher; Gary R. Mirams; Philip J. Murray; James M. Osborne; Alex Walter; S. Jonathan Chapman; Alan Garny; et al. (Comput. Phys. Commun., 2009)

A Local Sensitivity Analysis Method for Developing Biological Models with Identifiable Parameters: Application to L-type Calcium Channel Modelling. - Anna Sher; Ken Wang; Andrew J. Wathen; Gary R. Mirams; David Abramson 001; David Gavaghan (eScience, 2010)

Estimation of Conductivity Tensors from Human Ventricular Optical Mapping Recordings. - John Walmsley; Gary R. Mirams; Igor R. Efimov; Kevin Burrage; Blanca Rodríguez (FIMH, 2013)

A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling. - Anna Sher; Ken Wang; Andrew J. Wathen; Philip John Maybank; Gary R. Mirams; David Abramson 001; Denis Noble; David Gavaghan (Future Gener. Comput. Syst., 2013)

Chaste: An Open Source C++ Library for Computational Physiology and Biology. - Gary R. Mirams; Christopher J. Arthurs; Miguel O. Bernabeu; Rafel Bordas; Jonathan Cooper; Alberto Corrias; Yohan Davit; Sara-Jane Dunn; Alexander G. Fletcher; Daniel G. Harvey; Megan E. Marsh; James M. Osborne; et al. (PLoS Comput. Biol., 2013)

Ten Simple Rules for Effective Computational Research. - James M. Osborne; Miguel O. Bernabeu; Maria Bruna; Ben Calderhead; Jonathan Cooper; Neil Dalchau; Sara-Jane Dunn; Alexander G. Fletcher; Robin Freeman; Derek Groen; Bernhard Knapp; Greg J. McInerny; et al. (PLoS Comput. Biol., 2014)

Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential Traces. - Ross H. Johnstone; Rémi Bardenet; David Gavaghan; Liudmila Polonchuk; Mark Davies; Gary R. Mirams (CinC, 2016)

Probabilistic Inference on Noisy Time Series (PINTS). - Michael Clerx; Martin Robinson; Ben Lambert; Chon Lok Lei; Sanmitra Ghosh; Gary R. Mirams; David J. Gavaghan (CoRR, 2018)

Development, Implementation and Testing of a Multicellular Dynamic Action Potential Clamp Simulator for Drug Cardiac Safety Assessment. - Maria Camporesi; Chiara Bartolucci; Chon Lok Lei; Gary R. Mirams; Teun P. de Boer; Stefano Severi (CinC, 2020)

Chaste: Cancer, Heart and Soft Tissue Environment. - Fergus R. Cooper; Ruth E. Baker; Miguel O. Bernabeu; Rafel Bordas; Louise Bowler; Alfonso Bueno-Orovio; Helen M. Byrne; Valentina Carapella; Louie Cardone-Noott; Jonathan Cooper; Sara Dutta; Benjamin D. Evans; et al. (J. Open Source Softw., 2020)

Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current. - Aditi Agrawal; Michael Clerx; Ken Wang; Liudmila Polonchuk; David J. Gavaghan; Gary R. Mirams (CinC, 2022)

Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development. - Yann-Stanislas H. M. Barral; Liudmila Polonchuk; Gary R. Mirams; Michael Clerx; Guy Page; Katrina Sweat; Najah Abi-Gerges; Ken Wang; David J. Gavaghan (CinC, 2022)

Derivative-based Inference for Cell and Channel Electrophysiology Models. - Michael Clerx; David Augustin; Alister R. Dale-Evans; Gary R. Mirams (CinC, 2022)

Understanding the impact of numerical solvers on inference for differential equation models. - Richard Creswell; Katherine M. Shepherd; Ben Lambert; Gary R. Mirams; Chon Lok Lei; Simon Tavener; Martin Robinson; David J. Gavaghan (CoRR, 2023)

Model-driven optimal experimental design for calibrating cardiac electrophysiology models. - Chon Lok Lei; Michael Clerx; David J. Gavaghan; Gary R. Mirams (Comput. Methods Programs Biomed., 2023)

Ten simple rules for teaching sustainable software engineering. - Kit Gallagher; Richard Creswell; Ben Lambert; Martin Robinson; Chon Lok Lei; Gary R. Mirams; David J. Gavaghan (CoRR, 2024)

Ten simple rules for training scientists to make better software. - Kit Gallagher; Richard Creswell; Ben Lambert; Martin Robinson; Chon Lok Lei; Gary R. Mirams; David J. Gavaghan (PLoS Comput. Biol., 2024)