Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and...
Statistical methods for phylogeny estimation, especially maximum likelihood (ML), offer high accurac...
We used RAxML v8.1.1 (Stamatakis 2014) to created a maximum-likelihood phylogeny for our concatenate...
Abstract Background The rapid accumulation of molecul...
Motivation: Phylogenies are increasingly used in all fields of medical and biological research. More...
Motivation: Phylogenies are increasingly used in all fields of medical and biological research. More...
Summary: RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a...
The computation of ever larger as well as more accurate phylogenetic trees with the ultimate goal to...
Phylogenetic inference is considered to be one of the grand challenges in Bioinformatics due to the ...
The computation of ever larger as well as more accurate phylogenetic trees with the ultimate goal to...
Despite recent advances achieved by application of high-performance computing methods and novel algo...
Phylogenetic inference is considered to be one of the grand challenges in Bioinformatics due to the ...
Phylogenetic inference is a grand challenge in Bioinformatics due to immense computational requireme...
raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used softwares f...
Statistical methods for phylogeny estimation, especially maximum likelihood (ML), offer high accurac...
Abstract. Inference of phylogenetic trees comprising hundreds or even thousands of organisms based o...
Statistical methods for phylogeny estimation, especially maximum likelihood (ML), offer high accurac...
We used RAxML v8.1.1 (Stamatakis 2014) to created a maximum-likelihood phylogeny for our concatenate...
Abstract Background The rapid accumulation of molecul...
Motivation: Phylogenies are increasingly used in all fields of medical and biological research. More...
Motivation: Phylogenies are increasingly used in all fields of medical and biological research. More...
Summary: RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a...
The computation of ever larger as well as more accurate phylogenetic trees with the ultimate goal to...
Phylogenetic inference is considered to be one of the grand challenges in Bioinformatics due to the ...
The computation of ever larger as well as more accurate phylogenetic trees with the ultimate goal to...
Despite recent advances achieved by application of high-performance computing methods and novel algo...
Phylogenetic inference is considered to be one of the grand challenges in Bioinformatics due to the ...
Phylogenetic inference is a grand challenge in Bioinformatics due to immense computational requireme...
raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used softwares f...
Statistical methods for phylogeny estimation, especially maximum likelihood (ML), offer high accurac...
Abstract. Inference of phylogenetic trees comprising hundreds or even thousands of organisms based o...
Statistical methods for phylogeny estimation, especially maximum likelihood (ML), offer high accurac...
We used RAxML v8.1.1 (Stamatakis 2014) to created a maximum-likelihood phylogeny for our concatenate...
Abstract Background The rapid accumulation of molecul...