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NGPhylogeny.fr

PhyML 3.3_1
phylip/fasta format
Empirical: frequencies are estimated by counting the occurences in the alignment. ML/Model:frequencies are estimated using ML for nucleotides or defined by the proteic substitution model.
Must be a positive integer, 'e' if you want PhyML to estimate it
Empirical: frequencies are estimated by counting the occurences in the alignment. ML/Model:frequencies are estimated using ML for nucleotides or defined by the proteic substitution model.
Empirical: frequencies are estimated by counting the occurences in the alignment. ML/Model:frequencies are estimated using ML for nucleotides or defined by the proteic substitution model.
Empirical: frequencies are estimated by counting the occurences in the alignment. ML/Model:frequencies are estimated using ML for nucleotides or defined by the proteic substitution model.
Empirical: frequencies are estimated by counting the occurences in the alignment. ML/Model:frequencies are estimated using ML for nucleotides or defined by the proteic substitution model.
Empirical: frequencies are estimated by counting the occurences in the alignment. ML/Model:frequencies are estimated using ML for nucleotides or defined by the proteic substitution model.
Can be a fixed value in the [0,1] range or 'e' to get the maximum likelihood estimate, 0 to ignore this parameter
1 means no gamma model
'e' if you want PhyML to estimate it
Use aLRT or aBayes to save computing time.
Must be a positive integer
0 to random seed
newick format

References to cite