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To test which scenario brings the increase of MEF2B evolutionary rate, the CODEML program of PAML4 [53] was used to implement models that allow for different ω parameters in different parts of the MEF2A-D phylogeny (see Figure S2).
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These relationship matrices were used to implement SF GP models (SGBLUP model) (Table 1).
Software must also be used to implement mathematical models and algorithms required for simulation and theoretical predictions on the system-level.
MCMC procedures combined with imputation are used to implement hierarchical models for interval censored data within a Bayesian framework.
We will describe more in detail the software used to implement selected models developed within CAESAR in the five papers of this issue.
The SirBayes software [ 7] was used to implement the models.
In addition, we provide details of the R code used to implement these models using the BGLR package.
GEE is a semi-parametric method used to implement marginal models when the outcome variable is not normally distributed.
The code used to implement these models is provided in the Supporting Information; technical details and several examples of the use of the package for genome-enabled prediction can be found in de los Campos and Pérez-Rodriguez (2014).
This preference is based on our concern that sometimes the assumptions used to implement the models are not fulfilled or have unforeseen consequences, while empirical measurements, though not ideal to explain the process generating the data at hand, are less likely to be affected by otherwise unexpected peculiarities of the system under study.
The SimBiology toolbox of Matlab was used to implement the model (see Supplementary file 1 CD model and example Matlab script to run the model in Supplementary file 2 Sample Matlab code).
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