Skip to main content

Simulate DNA loop extrusion by SMCs using LAMMPS

Project description

DNA Loop Extrusion by SMCCs in LAMMPS

Loop extrusion simulation

Installation

Below are instructions to install the smc-lammps python package and a separate LAMMPS executable used to perform simulations.

Python

From PyPI

The code is available as a package on PyPI.

pip install smc-lammps

From Source Using uv (recommended)

git clone https://github.com/LucasDooms/SMC_LAMMPS.git
cd SMC_LAMMPS
uv sync --no-dev
# alternatively, to include optional dependencies
uv sync --all-groups
source .venv/bin/activate

or use uv run <command> without activating the environment.

From Source Using pip

git clone https://github.com/LucasDooms/SMC_LAMMPS.git
cd SMC_LAMMPS
python3 -m venv .venv
source .venv/bin/activate
# get exact versions (recommended)
pip install -r requirements.txt
# or, install from pyproject.toml file
pip install -e .

LAMMPS

You will need a LAMMPS executable with the MOLECULE, EXTRA-MOLECULE, and RIGID packages.
See https://docs.lammps.org/Install.html for more information.

Simple example:

git clone https://github.com/lammps/lammps --depth=1000 mylammps
cd mylammps
git checkout stable # or release for a more recent version
mkdir build && cd build
cmake -D CMAKE_INSTALL_PREFIX="$HOME/lammps" -D PKG_MOLECULE=yes -D PKG_EXTRA-MOLECULE=yes -D PKG_RIGID=yes ../cmake
cmake --build . -j8
make
make install
export PATH="$HOME/lammps/bin:$PATH"

(Optional) VMD

To use the src/smc_lammps/post_process/visualize.py script, you will need VMD,
see https://www.ks.uiuc.edu/Development/Download/download.cgi?PackageName=VMD.

Docker Installation

Alternative: install smc-lammps and LAMMPS in a docker container

You can also use docker to run the code.

Either download the image using

docker pull ghcr.io/lucasdooms/smc-lammps:latest

or build it locally with docker build -t smc-lammps . (replacing ghcr.io/lucasdooms/smc-lammps with smc-lammps for the instructions below).

Now you can run an interactive session using

docker run -it -v .:/data ghcr.io/lucasdooms/smc-lammps

Or, to run directly (see Usage)

docker run -v .:/data ghcr.io/lucasdooms/smc-lammps smc-lammps ...

To run a jupyter notebook session, use

docker run -it -v .:/data -p 127.0.0.1:8888:8888 ghcr.io/lucasdooms/smc-lammps jupyter notebook --allow-root --no-browser --ServerApp.ip=0.0.0.0 /data

and open the displayed link http://127.0.0.1:8888/tree?token=... in your browser.

Note: the docker image does not include VMD.

Usage

  1. Create a directory for your simulation using smc-lammps mysim.
  2. Define all parameters in mysim/parameters.py (see src/smc_lammps/generate/default_parameters.py for all options).
  3. Run smc-lammps [flags] mysim, providing the directory of the parameters file. Use the -g flag to generate the required parameterfile and datafile.

Examples

  • smc-lammps mysim -gr to generate and run.
  • smc-lammps mysim -grpv to generate, run, post-process, and visualize.
  • smc-lammps mysim -grvn to generate, run, and visualize while ignoring errors.
  • smc-lammps mysim -v to visualize.
  • smc-lammps mysim -vf to visualize a perspective following the SMC.
  • smc-lammps mysim -c to continue a run from a restart file.

Help

Show help with smc-lammps --help.

Shell Completion

To get shell completion when using smc-lammps on the command-line run the following:

  • For bash or zsh, use eval "$(register-python-argcomplete smc-lammps)"
  • For fish, use register-python-argcomplete --shell fish smc-lammps | source

Development

Enable dev dependencies

uv sync --dev

Tests

Run all tests using

pytest

Documentation

Dependencies

To build the documentation, you will need to install graphviz, e.g. sudo apt update && sudo apt install graphviz on Debian/Ubuntu.

Build

Build the documentation using

make -C docs html

(or sphinx-build -b html docs/source docs/build/html)

Now open docs/build/html/index.html in a browser or use python -m http.server -d docs/build/html and browse to http://localhost:8000.

Autobuild

To view new changes made to the documentation automatically, you can use sphinx-autobuild

sphinx-autobuild -b html --watch src/smc_lammps docs/source docs/build/html

Doctests

Run the doctests using

make -C docs doctest

Authors

Original code by Stefanos Nomidis (https://github.com/sknomidis/SMC_LAMMPS).
Modifications by Arwin Goossens.
All commits in this repository by Lucas Dooms.
Released under MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

smc_lammps-0.2.3.tar.gz (203.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

smc_lammps-0.2.3-py3-none-any.whl (95.4 kB view details)

Uploaded Python 3

File details

Details for the file smc_lammps-0.2.3.tar.gz.

File metadata

  • Download URL: smc_lammps-0.2.3.tar.gz
  • Upload date:
  • Size: 203.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for smc_lammps-0.2.3.tar.gz
Algorithm Hash digest
SHA256 33fab28af0c445f2e4b47692df4ec1785b0abd566573fff1fd8f7b637f3c6e6c
MD5 cdecff9180bec4c97104e6f32e6c827f
BLAKE2b-256 9ba7873702e9e93c1c569da4cb5fec1770e3bdf35f310f8ad87ee314c7bd2aa9

See more details on using hashes here.

Provenance

The following attestation bundles were made for smc_lammps-0.2.3.tar.gz:

Publisher: publish.yml on LucasDooms/SMC_LAMMPS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file smc_lammps-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: smc_lammps-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 95.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for smc_lammps-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ab92a35975b71180266a66556681ddbb608a7ce128b812503e565c26135b12a3
MD5 68545adb810d0d6c1d4eaed8545c5dc6
BLAKE2b-256 f6074819a06b73b000f0e9690d2b7f0468cf816f81c4b13634b17ec8d2cec41b

See more details on using hashes here.

Provenance

The following attestation bundles were made for smc_lammps-0.2.3-py3-none-any.whl:

Publisher: publish.yml on LucasDooms/SMC_LAMMPS

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page