2004
DOI: 10.1002/cpe.817
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The AxML program family for maximum likelihood‐based phylogenetic tree inference

Abstract: SUMMARYInference of phylogenetic (evolutionary) trees comprising hundreds or thousands of organisms based on the maximum likelihood criterion is a computationally extremely intensive task. This paper describes the evolution of the AxML program family which provides novel algorithmic as well as technical solutions for the maximum likelihood-based inference of huge phylogenetic trees. Algorithmic optimizations and a new tree building algorithm yield runtime improvements of a factor greater than 4 compared with f… Show more

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Cited by 6 publications
(4 citation statements)
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“…Details of tree construction can be found in figure legends. COII DNA phylogeny was generated with the AxML method (Stamatakis et al ., 2004) whereas FDH protein phylogenies were calculated with the Phylip protein maximum likelihood (PROTML) algorithm (Felsenstein, 1989). The same filter and alignments were employed when additional tree algorithms (Fitch distance, Phylip protein parsimony) were used to infer node robustness (Felsenstein, 1989).…”
Section: Methodsmentioning
confidence: 99%
“…Details of tree construction can be found in figure legends. COII DNA phylogeny was generated with the AxML method (Stamatakis et al ., 2004) whereas FDH protein phylogenies were calculated with the Phylip protein maximum likelihood (PROTML) algorithm (Felsenstein, 1989). The same filter and alignments were employed when additional tree algorithms (Fitch distance, Phylip protein parsimony) were used to infer node robustness (Felsenstein, 1989).…”
Section: Methodsmentioning
confidence: 99%
“…Phylogenetic trees were calculated with the tree builder function of the ARB-software , using the AxML þ algorithm (Stamatakis et al, 2004). Results displayed as bar plots, line plots or line-scatter plots are expressed as mean and s.d.…”
Section: Mathematical Analysesmentioning
confidence: 99%
“…Our framework plays the role of worker for computing the maximum likelihood during the evaluation of the tree topology in current inference algorithms and tools ([ 38 ], Fig. 2).…”
Section: Resultsmentioning
confidence: 99%