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A primary goal of modern cancer research is to characterize tumour growth andevolution, to improve clinical forecasting and individualized treatment.Agent-based models support this endeavour but existing models eitheroversimplify spatial structure or are mathematically intractable. Here wepresent warlock, an open-source automated computational workflow for fast,efficient simulation of intratumour population genetics in any of a diverse setof spatial structures. Warlock encapsulates a deme-based oncology model(demon), designed to bridge the divide between agent-based simulations andanalytical population genetics models, such as the spatial Moran process. Modeloutput can be readily compared to multi-region and single-cell sequencing datafor model selection or biological parameter inference. An interface for HighPerformance Computing permits hundreds of simulations to be run in parallel. Wediscuss prior applications of this workflow to investigating human cancerevolution.

Warlock: an automated computational workflow for simulating spatially structured tumour evolution