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Quickstart
IQ-TREE is a command-line program, i.e., clicking on iqtree.exe
will not work. You have to open a command prompt for all analyses. As an example, if you download iqtree-1.3.10-Windows.zip
into your Downloads
folder, then extract it into the same folder and do the following steps:
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Click on "Start" menu (below left corner of Windows screen).
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Type in "cmd" and press "Enter". It will open the Command Prompt window (see Figure below).
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Type in
cd Downloads\iqtree-1.3.10-Windows
and press "Enter" to go into IQ-TREE folder. -
Now you can try an example run by entering:
bin\iqtree -s example.phy
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After a few seconds, IQ-TREE finishes and you may see something like this:
Congratulations ;-) You have finished the first IQ-TREE analysis.
Please replace iqtree
with actual path to executable:
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Reconstruct maximum-likelihood tree from a sequence alignment (
example.phy
) with the best-fit substitution model automatically selected:iqtree -s example.phy -m TEST
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Reconstruct ML tree and assess branch supports with ultrafast bootstrap and SH-aLRT test (1000 replicates):
iqtree -s example.phy -m TEST -alrt 1000 -bb 1000
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Perform partitioned analysis with partition definition file (
example.nex
) in Nexus or RAxML format using edge-linked model and gene-specific rates:iqtree -s example.phy -spp example.nex -m TEST
(for edge-unlinked model replace
-spp
with-sp
option) -
Merge partitions to reduce model complexity:
iqtree -s example.phy -sp example.nex -m TESTMERGE
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Perform model selection only: use
-m TESTONLY
or-m TESTMERGEONLY
iqtree -s example.phy -sp example.nex -m TESTMERGEONLY
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Use 4 CPU cores to speed up computation: use
iqtree-omp
and add-nt 4
option, e.g.:iqtree-omp -s example.phy -m TEST -alrt 1000 -bb 1000 -nt 4
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Show all available options:
iqtree -h
Copyright (c) 2010-2016 IQ-TREE development team.
- First example
- Model selection
- New model selection
- Codon models
- Binary, Morphological, SNPs
- Ultrafast bootstrap
- Nonparametric bootstrap
- Single branch tests
- Partitioned analysis
- Partitioning with mixed data
- Partition scheme selection
- Bootstrapping partition model
- Utilizing multi-core CPUs
- Tree topology tests
- User-defined models
- Consensus construction and bootstrap value assignment
- Computing Robinson-Foulds distance
- Generating random trees
- DNA models
- Protein models
- Codon models
- Binary, morphological models
- Ascertainment bias correction
- Rate heterogeneity
- Counts files
- First running example
- Substitution models
- Virtual population size
- Sampling method
- Bootstrap branch support
- Interpretation of branch lengths