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Command Reference
minh edited this page Nov 10, 2015
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iqtree -s <alignment> [OPTIONS]
Assuming that IQ-TREE can be run by simply entering iqtree. If not, please read the Quick start guide.
| Option | Meaning |
|---|---|
-? or -h
|
Printing help usage |
-s alignment_file |
Input alignment in PHYLIP/FASTA/NEXUS/CLUSTAL/MSF format |
-st data_type |
BIN, DNA, AA, NT2AA, CODON, MORPH (default: auto-detect) |
-q partition_file |
Edge-linked partition model (file in NEXUS/RAxML format) |
-spp partition_file |
Like -q option but allowing partition-specific rates |
-sp partition_file |
Edge-unlinked partition model (like -M option of RAxML) |
-t start_tree_file ` |
BIONJ |
-te user_tree_file |
Like -t but fixing user tree (no tree search performed) |
-o outgroup_taxon |
Outgroup taxon name for writing .treefile
|
-pre PREFIX |
Using PREFIX for output files (default: aln/partition) |
-seed number |
Random seed number, normally used for debugging purpose |
-v |
Verbose mode, printing more messages to screen |
Copyright (c) 2010-2022 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
- Estimating amino acid substitution models
- DNA models
- Protein models
- 3Di and TEA 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