ABC-SysBio - approximate Bayesian computation in Python with GPU support. - Juliane Liepe; Chris P. Barnes; Erika Cule; Kamil Erguler; Paul D. W. Kirk; Tina Toni; Michael P. H. Stumpf (Bioinform., 2010)

GPU accelerated biochemical network simulation. - Yanxiang Zhou; Juliane Liepe; Xia Sheng; Michael P. H. Stumpf; Chris P. Barnes (Bioinform., 2011)

Considerate approaches to constructing summary statistics for ABC model selection. - Chris P. Barnes; Sarah Filippi; Michael P. H. Stumpf; Thomas Thorne (Stat. Comput., 2012)

On Industrial Strength Bio-design Automation. - Wolf-Ekkehard Matzke; Chris P. Barnes; Eyck Jentzsch; Thorsten Mascher; Michael P. H. Stumpf (ICTERI, 2014)

Model Selection in Systems Biology Depends on Experimental Design. - Daniel Silk; Paul D. W. Kirk; Chris P. Barnes; Tina Toni; Michael P. H. Stumpf (PLoS Comput. Biol., 2014)

A computational method for the investigation of multistable systems and its application to genetic switches. - Miriam Leon; Mae L. Woods; Alex J. H. Fedorec; Chris P. Barnes (BMC Syst. Biol., 2016)

Mechanistic Modelling and Bayesian Inference Elucidates the Variable Dynamics of Double-Strand Break Repair. - Mae L. Woods; Chris P. Barnes (PLoS Comput. Biol., 2016)

Computing with biological switches and clocks. - Neil Dalchau; Gregory Szép; Rosa D. Hernansaiz-Ballesteros; Chris P. Barnes; Luca Cardelli; Andrew Phillips; Attila Csikász-Nagy (Nat. Comput., 2018)

Deep reinforcement learning for the control of microbial co-cultures in bioreactors. - Neythen J. Treloar; Alex J. H. Fedorec; Brian P. Ingalls; Chris P. Barnes (PLoS Comput. Biol., 2020)

Chaos in synthetic microbial communities. - Behzad D. Karkaria; Angelika Manhart; Alex J. H. Fedorec; Chris P. Barnes (PLoS Comput. Biol., 2022)

Deep reinforcement learning for optimal experimental design in biology. - Neythen J. Treloar; Nathan Braniff; Brian P. Ingalls; Chris P. Barnes (PLoS Comput. Biol., 2022)