This will typically be useful to infer trees for long (in terms of base–pairs) multigene alignments. If, for e.g.,-m GTRGAMMA is used, individual α-shape parameters, GTR-rates, and empirical base frequencies will be estimated and optimized for each partition.
To run multiple model analyses you will need to create a simple text file with a name such as "COI_18Sraxml_part.txt".
If you have a pure DNA alignment with 1,000bp from two genes; gene1 (positions 1–500) and gene2 (positions 501–1,000) the information in the multiple model text file should look as follows:
If gene1 is scattered through the alignment, e.g. positions 1–200, and 800–1,000 you specify this with:DNA, gene1 = 1-500 DNA, gene2 = 501-1000
You can also assign distinct models to the codon positions, i.e. if you want a distinct model to be estimated for each codon position in gene1 you can specify:DNA, gene1 = 1-200, 800-1000 DNA, gene2 = 201-799
If you only need a distinct model for the 3rd codon position you can write:DNA, gene1codon1 = 1-500\3 DNA, gene1codon2 = 2-500\3 DNA, gene1codon3 = 3-500\3 DNA, gene2 = 501-1000
For amino acid data you must specify the transition matrices for each partition:DNA, gene1codon1andcodon2 = 1-500\3, 2-500\3 DNA, gene1codon3 = 3-500/3 DNA, gene2 = 501-1000
JTT, gene1 = 1-500 WAGF, gene2 = 501-800 WAG, gene3 = 801-800