msprime 0.1.2a2

A fast and accurate coalescent simulator.

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

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