======= msprime ======= Msprime is a reimplementation of Hudson's classical ms program for modern datasets. The Python API and storage format are currently under development and are not fully documented, but the command line interface ``mspms`` is reliable and ready for use. This program provides a fully ``ms`` compatible interface, and can be used as a drop-in replacement in existing workflows. Msprime can simulate the coalescent with recombination much faster than programs based on the Sequentially Markov Coalescent for large sample sizes and has very reasonable memory requirements. Msprime makes it possible to simulate chromosome sized regions with hundreds of thousands of samples. Please see the `documentation `_ for further details. *********** Quick Start *********** To install and run ``msprime`` on a Ubuntu 14.10 installation do the following:: $ sudo apt-get install python-dev libgsl0-dev libhdf5-serial-dev $ sudo pip install msprime $ mspms 2 1 -t 1 /usr/local/bin/mspms 2 1 -t 1 5338 8035 23205 // segsites: 3 positions: 0.014 0.045 0.573 100 011 If you do not wish to install ``msprime`` to your system, you can try it out in a `virtualenv `_ as follows:: $ virtualenv msprime-env $ source msprime-env/bin/activate (msprime-env) $ pip install msprime (msprime-env) $ mspms ************* Requirements ************* Msprime requires Python 2.7+ (Python 3 versions are fully supported from 3.1 onwards), the `GNU Scientific Library `_, and `HDF5 `_ version 1.8 or later. These packages are available for all major platforms. For example, to install on Debian/Ubuntu use:: # apt-get install python-dev libgsl0-dev libhdf5-serial-dev pkg-config For Redhat/Fedora use:: # yum install gsl-devel hdf5-devel On FreeBSD we can use ``pkg`` to install the requirements:: # pkg install gsl hdf5-18 ---- TODO ---- - Add instructions for HomeBrew/MacPorts. ************ Installation ************ The simplest method of installation is to use PyPI and pip:: # pip install msprime This will work in most cases, once the `Requirements`_ have been satisfied. See below for platform specific build instructions when this fails. If you do not have root access to your machine, you can install ``msprime`` into your local Python installation as follows:: $ pip install msprime --user To use the ``mspms`` program you must ensure that the ``~/.local/bin`` directory is in your ``PATH``, or simply run it using:: $ ~/.local/bin/mspms To uninstall ``msprime``, simply run:: $ pip uninstall msprime ------------------------------ Platform specific installation ------------------------------ This section contains instructions to build on platforms that require build time flags for GSL and HDF5. ++++++++++++ FreeBSD 10.0 ++++++++++++ Install the prerequisitites, and build ``msprime`` as follows:: # pkg install gsl hdf5-18 # CFLAGS=-I/usr/local/include LDFLAGS=-L/usr/local/lib pip install msprime This assumes that root is logged in using a bash shell. For other shells, different methods are need to set the ``CFLAGS`` and ``LDFLAGS`` environment variables. --- OSX --- *TODO* **************** Tested platforms **************** Msprime is highly portable, and has been successfully built and tested on the following platforms: ==================== ======== ====== =========== Operating system Platform Python Compiler ==================== ======== ====== =========== Debian jessie x86-64 2.7.9 gcc 4.9.2 Debian jessie x86-64 3.4.2 gcc 4.9.2 Debian wheezy i686 2.7.3 gcc 4.7.2 Fedora 20 x86-64 2.7.5 gcc 4.8.3 FreeBSD 10 x86-64 2.7.6 clang 3.4.1 SunOS 5.10 SPARC 3.4.1 gcc 3.4.3 ==================== ======== ====== ===========