Jonathan Cooper

Publications

• Considerations for the use of cellular electrophysiology models within cardiac tissue simulations DOI: 10.1016/j.pbiomolbio.2011.06.002
• High-throughput functional curation of cellular electrophysiology models DOI: 10.1016/j.pbiomolbio.2011.06.003
• Minimum Information About a Simulation Experiment (MIASE) DOI: 10.1371/journal.pcbi.1001122
• Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk DOI: 10.1093/cvr/cvr044
• TumorML: Concept and Requirements of an In Silico Cancer Modelling Markup Language
• A numerical guide to the solution of the bidomain equations of cardiac electrophysiology DOI: 10.1016/j.pbiomolbio.2010.05.006
• A POSTERIORI ERROR ANALYSIS FOR THE USE OF LOOKUP TABLES IN CARDIAC ELECTROPHYSIOLOGY SIMULATIONS DOI: 10.1137/090773064
• An overview of the CellML API and its implementation DOI: 10.1186/1471-2105-11-178
• The Virtual Physiological Human TOOLKIT DOI: 10.1098/rsta.2010.0144
• Toward a VPH/Physiome ToolKit DOI: 10.1002/wsbm.63
• A computational study of discrete mechanical tissue models DOI: 10.1088/1478-3975/6/3/036001
• An integrative computational model for intestinal tissue renewal DOI: 10.1111/j.1365-2184.2009.00627.x
• Chaste: A test-driven approach to software development for biological modelling DOI: 10.1016/j.cpc.2009.07.019
• CHASTE: incorporating a novel multi-scale spatial and temporal algorithm into a large-scale open source library DOI: 10.1098/rsta.2008.0309
• A model-driven approach to automatic conversion of physical units DOI: 10.1002/spe.828
• CellML and associated tools and techniques DOI: 10.1098/rsta.2008.0094
• Chaste: using agile programming techniques to develop computational biology software DOI: 10.1098/rsta.2008.0096
• Experience Report: A Haskell Interpreter for CellML
• On the application of partial evaluation to the optimisation of cardiac electrophysiological simulations DOI: citeulike-article-id:5372740
• Experience report DOI: 10.1145/1291220.1291190
• Functional Curation: Potential Future Directions for SED-ML DOI: 10.1038/npre.2011.6327