I am pleased to announce our paper on bet hedging in yeast has been published. I am really excited about this paper. One point that I would like to highlight here is the tight integration of individual-based observations (IBO) with individual-based modeling (IBM). As an example, the figure below shows the distribution of Tsl1 (a protein involved in the synthesis of the stress protectant trehalose), as observed (by Levy et al., PLoS Bio, 2012) using green fluorescent protein (GFP) tagging and flow cytometry, and modeled using our agent-based model. Modern observational methods increasingly resolve population heterogeneity and individual/agent-based modeling is a natural way to analyze these data. This project has consumed much of my time in 2012/13. To give you some idea of the scope, the time from inception to completion (initial manuscript submission) was 12 month, and the project included reviewing 110 papers and approximately 2,200 model runs.
Links to the paper, movie and code: