Hi,
combining multiple genes with the same substitution model into a single partition would result in
joint estimation of free model parameters (e.g., alpha parameter for +G). So in general, it will
make a difference for likelihood computation, except if there are no free parameters to estimate.
Please see here for details:
https://github.com/amkozlov/raxml-ng/wiki/Tutorial#partitioned-analysis
https://github.com/amkozlov/raxml-ng/wiki/Input-data#multiple-models
On 12.09.22 09:47, EB Wong wrote:
> Hi,
>
> I am creating model partition files for all my concatenated alignments, but wondering about the way
> RAxML-NG treated the partitions.
> Say if there are 3 genes in the concatenated alignment, each with 100 bases, the first two are to be
> specified with model A and the third one with model B.
>
> I have been splitting the models for each of the partition (as in ModelFile1).
> Wondering will there be any difference in the tree calculation if the consecutively same models
> being combined as single model partition (as in ModelFile2)?
>
> Does RAxML-NG apply the models independently in each site for the tree calculation, that it does not
> impact much even when the partitions being combined?
>
> _Sample partitioned model files for RAxML-NG_
> ModelFile1:
> LG, gene1=1-100
> LG, gene2=101-200
> WAG, gene3=201-300
>
> ModelFile 2:
> LG, gene1gene2=1-200
> WAG, gene3=201-300
>
> Thank you,
> Bhei
>
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