Skip to main content

BioSimulators-compliant command-line interface to the BoolNet simulation program.

Project description

Latest release PyPI CI status Test coverage

BioSimulators-BoolNet

BioSimulators-compliant command-line interface to the BoolNet simulation program.

This command-line interface and Docker image enable users to use BoolNet to execute COMBINE/OMEX archives that describe one or more simulation experiments (in SED-ML format) of one or more logical models (in SBML-qual format).

A list of the algorithms and algorithm parameters supported by BoolNet is available at BioSimulators.

A simple web application and web service for using BoolNet to execute COMBINE/OMEX archives is also available at runBioSimulations.

Installation

Install Python package

pip install biosimulators-boolnet

Install Docker image

docker pull ghcr.io/biosimulators/boolnet

Usage

Local usage

usage: boolnet [-h] [-d] [-q] -i ARCHIVE [-o OUT_DIR] [-v]

BioSimulators-compliant command-line interface to the BoolNet simulation program <https://sysbio.uni-ulm.de/?Software:BoolNet>.

optional arguments:
  -h, --help            show this help message and exit
  -d, --debug           full application debug mode
  -q, --quiet           suppress all console output
  -i ARCHIVE, --archive ARCHIVE
                        Path to OMEX file which contains one or more SED-ML-
                        encoded simulation experiments
  -o OUT_DIR, --out-dir OUT_DIR
                        Directory to save outputs
  -v, --version         show program's version number and exit

Usage through Docker container

The entrypoint to the Docker image supports the same command-line interface described above.

For example, the following command could be used to use the Docker image to execute the COMBINE/OMEX archive ./modeling-study.omex and save its outputs to ./.

docker run \
  --tty \
  --rm \
  --mount type=bind,source="$(pwd)",target=/root/in,readonly \
  --mount type=bind,source="$(pwd)",target=/root/out \
  ghcr.io/biosimulators/boolnet:latest \
    -i /root/in/modeling-study.omex \
    -o /root/out

Documentation

Documentation is available at https://biosimulators.github.io/Biosimulators_BoolNet/.

License

This package is released under the MIT license.

Development team

This package was developed by the Center for Reproducible Biomedical Modeling and the Karr Lab at the Icahn School of Medicine at Mount Sinai in New York.

Questions and comments

Please contact the BioSimulators Team with any questions or comments.

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

biosimulators_boolnet-0.1.12.tar.gz (12.3 kB view details)

Uploaded Source

Built Distribution

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

biosimulators_boolnet-0.1.12-py2.py3-none-any.whl (12.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file biosimulators_boolnet-0.1.12.tar.gz.

File metadata

  • Download URL: biosimulators_boolnet-0.1.12.tar.gz
  • Upload date:
  • Size: 12.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for biosimulators_boolnet-0.1.12.tar.gz
Algorithm Hash digest
SHA256 0386421c4b0ed985e1caa6ab2548a7749ecf4cc2c6f29d98e7aa7fff9c37fe7a
MD5 ce1661af43765a09196d2b43f9061e3e
BLAKE2b-256 a6b3c63ab9378cd8bdc30d8c6e962b18588c5b1eabba1aa67a3698d938314a85

See more details on using hashes here.

File details

Details for the file biosimulators_boolnet-0.1.12-py2.py3-none-any.whl.

File metadata

  • Download URL: biosimulators_boolnet-0.1.12-py2.py3-none-any.whl
  • Upload date:
  • Size: 12.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for biosimulators_boolnet-0.1.12-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 25d5149d1c053fa71f7efb6f679a5248dd22347340a6d034d3a5977f6a84353d
MD5 25cde6c5398032202e432b0cc858578c
BLAKE2b-256 86deb39dd66ffb6c1acf05c4122488c6c659c13be745f0bd5970311d93062c27

See more details on using hashes here.

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