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. 2011 Oct 13;7(10):e1002144. doi: 10.1371/journal.pcbi.1002144

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Dalchau et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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The horizontal axis indicates the set of parameters that were allowed to vary between alleles. The vertical axis quantifies the Bayesian information criterion (BIC) of the best parameter values for a given set of allele parameters. BIC penalizes deviations of the model simulation from the experimental data, whilst also penalizing models with more variable parameters, implying that low BIC values correspond to more representative models. The best parameter values for a given set of allele parameters were inferred using the Filzbach MCMC software (see Methods).