Lattice Microbes is a software package for efficiently sampling trajectories from the chemical and reaction-diffusion master equations (CME/RDME) on high performance computing (HPC) infrastructure using both exact and approximate methods.
pyLM is a problem solving environment written in Python that leverages the high-performance nature of the Lattice Microbes package while providing ease of use for common stochastic simulations and high customizability for complex biological applications.
Lattice Microbes is licensed under the University of Illinois Open Source License. More info on Lattice Microbes can be found at http://www.scs.illinois.edu/schulten/lm/.
See here for a document describing prerequisites and setup steps for all HPC containers.
See here for a document describing the steps to pull NGC containers.
There are 3 options to run the Lattice Microbes container.
To run the Lattice Microbes container interactively, use the following command:
nvidia-docker run -ti --rm -v $(pwd):/workspace nvcr.io/hpc/lattice-microbes:2018.03 bash
This will start a shell the container, and map the current working directory
To start an RDME simulation model saved in “system.lm”, run the following command:
/opt/lm/bin/lm -r 1 -sp -f /workspace/system.lm
First, start an interactive container as described in Section 1.1. Next, set up the environment for pyLM:
You can then run python3 and import pyLM:
# python3 Python 3.5.2 (default, Nov 23 2017, 16:37:01) [GCC 5.4.0 20160609] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import pyLM
You may now run any pyLM scripts that are in the
To run the Lattice Microbes on a model “system.lm” in the current working directory, use the following command:
nvidia-docker run -it --rm -v $(pwd):/workspace nvcr.io/hpc/lattice-microbes:2018.03 /opt/lm/bin/lm -r 1 -f /workspace/system.lm
This will map the current working directory to
/workspace in the container,
and run an RDME simulation.