Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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The therapeutic potential of stem cells due to their ability to build and maintain tissues and organs is widely recognised. Much can be learned by studying stem cell turnover dynamics and Bromodeoxyuridine (BrdU) is often used for this purpose. Good computational models are however needed for a full understanding of BrdU data and in this paper we present such a model. Our approach is to model single cells as well as their chromosomes as agents which make probabilistic decisions over fixed intervals of time. We demonstrate the power of our model by comparing its performance to a deterministic BrdU model used in a recently published study on asymmetric chromosome segregation in Hematopoietic stem cells.