Closed sdhutchins closed 6 years ago
The IQ-Tree wrapper for the command line is pretty basic, but it works. It gives you very basic functionality (-s and -st parameters).
` iqtree --help IQ-TREE version 1.5.5 for Linux 64-bit built Jun 2 2017 Copyright (c) 2011-2017 by Bui Quang Minh, Nguyen Lam Tung, Olga Chernomor, Heiko Schmidt, and Arndt von Haeseler.
Usage: iqtree -s
GENERAL OPTIONS:
-? or -h Print this help dialog
-s
CHECKPOINTING TO RESUME STOPPED RUN:
-redo Redo analysis even for successful runs (default: resume)
-cptime
LIKELIHOOD MAPPING ANALYSIS:
-lmap <#quartets> Number of quartets for likelihood mapping analysis
-lmclust
NEW STOCHASTIC TREE SEARCH ALGORITHM:
-ninit
ULTRAFAST BOOTSTRAP:
-bb <#replicates> Ultrafast bootstrap (>=1000)
-bsam GENE|GENESITE Resample GENE or GENE+SITE for partition (default: SITE)
-wbt Write bootstrap trees to .ufboot file (default: none)
-wbtl Like -wbt but also writing branch lengths
-nm <#iterations> Maximum number of iterations (default: 1000)
-nstep <#iterations> #Iterations for UFBoot stopping rule (default: 100)
-bcor
STANDARD NON-PARAMETRIC BOOTSTRAP: -b <#replicates> Bootstrap + ML tree + consensus tree (>=100) -bc <#replicates> Bootstrap + consensus tree -bo <#replicates> Bootstrap only
SINGLE BRANCH TEST: -alrt <#replicates> SH-like approximate likelihood ratio test (SH-aLRT) -alrt 0 Parametric aLRT test (Anisimova and Gascuel 2006) -abayes approximate Bayes test (Anisimova et al. 2011) -lbp <#replicates> Fast local bootstrap probabilities
MODEL-FINDER:
-m TESTONLY Standard model selection (like jModelTest, ProtTest)
-m TEST Standard model selection followed by tree inference
-m MF Extended model selection with FreeRate heterogeneity
-m MFP Extended model selection followed by tree inference
-m TESTMERGEONLY Find best partition scheme (like PartitionFinder)
-m TESTMERGE Find best partition scheme followed by tree inference
-m MF+MERGE Find best partition scheme incl. FreeRate heterogeneity
-m MFP+MERGE Like -m MF+MERGE followed by tree inference
-rcluster
SUBSTITUTION MODEL:
-m
RATE HETEROGENEITY AMONG SITES:
-m
SITE-SPECIFIC FREQUENCY MODEL:
-ft
CONSENSUS RECONSTRUCTION:
-t
ROBINSON-FOULDS DISTANCE:
-rf_all Computing all-to-all RF distances of trees in
TREE TOPOLOGY TEST:
-z
GENERATING RANDOM TREES:
-r
MISCELLANEOUS:
-wt Write locally optimal trees into .treels file
-blfix Fix branch lengths of user tree passed via -te
-blscale Scale branch lengths of user tree passed via -t
-blmin Min branch length for optimization (default 0.000001)
-blmax Max branch length for optimization (default 100)
-wsr Write site rates and categories to .rate file
-wsl Write site log-likelihoods to .sitelh file
-wslr Write site log-likelihoods per rate category
-wslm Write site log-likelihoods per mixture class
-wslmr Write site log-likelihoods per mixture+rate class
-wspr Write site probabilities per rate category
-wspm Write site probabilities per mixture class
-wspmr Write site probabilities per mixture+rate class
-wpl Write partition log-likelihoods to .partlh file
-fconst f1,...,fN Add constant patterns into alignment (N=#nstates)
-me
I can't stand giving the thumbs up here..soooo... :smiley:
:stuck_out_tongue_winking_eye:
:stuck_out_tongue_closed_eyes:
@grabear I'm going to close this out tonight.
@sdhutchins Good deal!
aada0313460b758afa614bf7b9767a4ccd56e1ed - has the updated ETE3PAML class.
Any thoughts or comments @grabear?
Addressed by #99
@sdhutchins needs to simplify this and integrate IQtree