RAxML (Randomized Axelerated Maximum Likelihood) is a program for Maximum Likelihood-based inference of large phylogenetic trees. The program is explicitly being developed to efficiently infer trees for extremely large datasets, either in terms of the number of taxa and/or the sequence length.
Tool development:
Oleksandr Moskalenko with adaptations from Tiago Antao.