Get 1000 Hours free
On the UCSD Supercomputer
Start Your TrialIQ-TREE was designed to address “deep phylogenetic” questions in the tree of life. Here we offer IQ-TREE on XSEDE resources, which will make the analysis run as fast as possible.
IQ-TREE software has a strong emphasis on phylogenomic inference. The IQ-TREE team goals are:
Accuracy: Proposing novel computational methods that perform better than existing approaches.
Speed: Allowing fast analysis on big data sets and utilizing high performance computing platforms.
Flexibility: Facilitating the inclusion of new (phylogenomic) models and sequence data types.
Versatility: Implementing a broad range of commonly-used maximum likelihood analyses.
The name IQ-TREE comes from the fact that it is the successor of IQPNNI and TREE-PUZZLE software.
IQ-TREE Documentation here.
The table below shows the kinds of results returned by CIPRES Science Gateway:
Input File Names | Sample File from a Test |
input file | iq_tree.infile.phy |
partition file | iq_tree.partition.nex |
Sample Output File Type | File Name |
log file | iq_tree.output.log |
tree file | iq_tree.output.treefile |
distance matrix | iq_tree.output.mldist |
neighbor joining tree | iq_tree.output.bionj |
checkpoint file | iq_tree.output.ckp.gz |
In good practice, one conducts multiple runs of the IQ-TREE program, combines the results, and analyzes them. At present, CIPRES does not support the restart function for IQ Tree. We hope to have this feature in place by Jan 31, 2017.
If you use IQ-TREE here, please cite:
L.-T. Nguyen, H.A. Schmidt, A. von Haeseler, and B.Q. Minh (2015) IQ-TREE: A fast and effective stochastic algorithm for estimating maximum likelihood phylogenies. Mol. Biol. Evol., 32:268-274. DOI: 10.1093/molbev/msu30
If there is a tool or a feature you need, please let us know.