ATGC MONTPELLIER

Here, we introduce a series of empirically determined profile mixture models, with number of components ranging from 20 to 60. In a way, we can say that they are to our previous CAT model what WAG or JTT are to the GTR model : simply, a pre-learnt version of the model, which can now be used for analysing small datasets, while explicitely accounting for site-specific effects.

Also known as: ATGC