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Compilation Guide
For advanced users to compile IQ-TREE source code.
Table of Contents
- General requirements
- Downloading source code
- Compiling under Linux
- Compiling under Mac OS X
- Compiling under Windows
- Compiling 32-bit version
- Compiling MPI version
- Make sure that a C++ compiler is installed. IQ-TREE was successfully built with GCC (version 4.8 at least), Clang, MS Visual Studio and Intel C++ compiler.
- Install CMake if not yet available in your system.
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(Optional) If you want to compile the multicore version, make sure that the OpenMP library was installed. This should typically be the case with
gccunder Linux. - (Optional) Install git if you want to clone source code from IQ-TREE GitHub repository.
Choose the source code (zip or tar.gz) of the IQ-TREE release you want to use from:
https://github.com/Cibiv/IQ-TREE/releases/
Alternatively, if you have git installed, you can also clone the source code from GitHub with:
git clone https://github.com/Cibiv/IQ-TREE.git
Please find below separate compilation guide fors Linux, Mac OS X, and Windows as well as for 32-bit version or for MPI version.
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Open a Terminal.
-
Change to the source code folder:
cd PATH_TO_EXTRACTED_SOURCE_CODE -
Create a subfolder, say,
buildand go into this subfolder:mkdir build cd build -
Configure source code with CMake:
cmake ..To build the multicore version please add
-DIQTREE_FLAGS=ompto the cmake command:cmake -DIQTREE_FLAGS=omp .. -
Compile source code with
make:makeYou can speed up the compilation by specifying the number of CPU cores to use with
makeby e.g.:make -j4to use 4 cores instead of the default 1 core.
This creates an executable iqtree or iqtree-omp. It can be copied to your system search path so that IQ-TREE can be called from the Terminal simply with the command line iqtree.
NOTICE: The above guide typically compiles IQ-TREE with
gcc. If you have Clang installed and want to compile with Clang, the compilation will be similar to Mac OS X like below.
- Make sure that Clang compiler is installed, which is typically the case if you installed Xcode and the associated command line tools.
- Find the path to the CMake executable, which is typically
/Applications/CMake.app/Contents/bin/cmake. For later convenience, please create a symbolic linkcmaketo this cmake executable, so that cmake can be invoked from the Terminal by simply enteringcmake.
The steps to compile IQ-TREE are similar to Linux (see above), except that you need to specify clang as compiler when configuring source code with CMake (step 4):
cmake -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ ..
(please change cmake to absolute path like /Applications/CMake.app/Contents/bin/cmake).
To compile the multicore version, the default installed Clang unfortunately does not support OpenMP (which might change in the near future). However, the latest Clang 3.7 supports OpenMP, which can be downloaded from http://clang.llvm.org. After that you can run CMake with:
cmake -DIQTREE_FLAGS=omp -DCMAKE_C_COMPILER=clang-3.7 -DCMAKE_CXX_COMPILER=clang++-3.7 ..
(assuming that clang-3.7 and clang++-3.7 points to the installed Clang 3.7).
- Please first install TDM-GCC (a GCC version for Windows) from http://tdm-gcc.tdragon.net.
- Then install Clang for Windows from http://clang.llvm.org.
NOTICE: Although IQ-TREE can also be built with TDM-GCC, the executable does not run properly due to stack alignment issue and the
libgomplibrary causes downgraded performance for the OpenMP version. Thus, it is recommended to compile IQ-TREE with Clang.
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Open Command Prompt.
-
Change to the source code folder:
cd PATH_TO_EXTRACTED_SOURCE_CODEPlease note that Windows uses back-slash (
\) instead of slash (/) as path name separator. -
Create a subfolder, say,
buildand go into this subfolder:mkdir build cd build -
Configure source code with CMake:
cmake -G "Unix Makefiles" -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_FLAGS=--target=x86_64-pc-windows-gnu -DCMAKE_CXX_FLAGS=--target=x86_64-pc-windows-gnu -DCMAKE_MAKE_PROGRAM=mingw32-make ..To build the multicore version please add
-DIQTREE_FLAGS=ompto the cmake command. Note that the make program shipped with TDM-GCC is calledmingw32-make, thus needed to specify like above. You can also copymingw32-maketomaketo simplify this step. -
Compile source code with:
mingw32-makeor
mingw32-make -j4to use 4 cores for compilation instead of only 1.
NOTE: Typically a 64-bit IQ-TREE version is built and recommended! The 32-bit version has several restriction like maximal RAM usage of 2GB and no AVX support, thus not suitable to analyze large data sets.
To compile the 32-bit version instead, simply add m32 into IQTREE_FLAGS of the cmake command:
cmake -DIQTREE_FLAGS=m32 ..
To build the 32-bit multicore version, run:
cmake -DIQTREE_FLAGS=omp-m32 ..
For Windows you need to change Clang target with:
cmake -G "Unix Makefiles" -DCMAKE_C_FLAGS=--target=i686-pc-windows-gnu -DCMAKE_CXX_FLAGS=--target=i686-pc-windows-gnu -DCMAKE_MAKE_PROGRAM=mingw32-make ..
Requirements:
-
Download source code of IQ-TREE version 1.5.1 or later.
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Install an MPI library (e.g., OpenMPI) if not available in your system. For Mac OS X, the easiest is to install Homebrew package manager, and then install OpenMPI library from the command line with:
brew install openmpi
Then simply run CMake and make by:
cmake -DIQTREE_FLAGS=mpi ..
make -j4
IQ-TREE will automatically detect and setup the MPI paths and library. Alternatively, you can also use the MPI C/C++ compiler wrappers (typically named mpicc and mpicxx), for example:
cmake -DCMAKE_C_COMPILER=mpicc -DCMAKE_CXX_COMPILER=mpicxx ..
make -j4
The executable is named iqtree-mpi. One can then run mpirun to start the MPI version with e.g. 2 processes:
mpirun -np 2 iqtree-mpi -s alignment ...
If you want to compile the hybrid MPI/OpenMP version, simply run:
cmake -DIQTREE_FLAGS=omp-mpi ..
make -j4
The resulting executable is then named iqtree-omp-mpi. This can be used to start an MPI run with e.g. 4 processes and 2 cores each (i.e., a total of 8 cores will be used):
mpirun -np 4 iqtree-omp-mpi -nt 2 -s alignment ...
NOTE: Please be aware that OpenMP and OpenMPI are different! OpenMP is the standard to implement shared-memory multithreading program, that we use to provide the multicore IQ-TREE version
iqtree-omp. Whereas OpenMPI is a message passing interface (MPI) library for distributed memory parallel system, that is used to compileiqtree-mpi. Thus, one cannot runiqtree-ompwithmpirun!
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
- 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