Skip to main content

BioSimulators-compliant command-line interface to the COPASI simulation program <http://copasi.org>.

Project description

Latest release PyPI CI status Test coverage All Contributors

BioSimulators-COPASI

BioSimulators-compliant command-line interface and Docker image for the COPASI simulation program.

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

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

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

Installation

Install Python package

pip install biosimulators-copasi

Install Docker image

docker pull ghcr.io/biosimulators/copasi

Usage

Local usage

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

BioSimulators-compliant command-line interface to the COPASI simulation program <http://copasi.org>.

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/copasi:latest \
    -i /root/in/modeling-study.omex \
    -o /root/out

Documentation

Documentation is available at https://docs.biosimulators.org/Biosimulators_COPASI/.

License

This package is released under the MIT license. COPASI is released under the Artistic 2.0 License.

Development team

This package was developed by the Center for Reproducible Biomedical Modeling. COPASI was developed by a team at the University of Connecticut, the University of Heidelberg, and the University of Virginia with assistance from the contributors listed here.

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_copasi-0.2.18.tar.gz (18.6 kB view details)

Uploaded Source

Built Distribution

biosimulators_copasi-0.2.18-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file biosimulators_copasi-0.2.18.tar.gz.

File metadata

  • Download URL: biosimulators_copasi-0.2.18.tar.gz
  • Upload date:
  • Size: 18.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.15 Linux/6.8.0-1014-azure

File hashes

Hashes for biosimulators_copasi-0.2.18.tar.gz
Algorithm Hash digest
SHA256 b24c097127f7e99590063507fc0d81d0fc12e70a0b0f99a1d032d79048170a04
MD5 a768e19563d0ba66a06db46aa1571809
BLAKE2b-256 3ac170ad45f03be918f3c1ac1fba445ab77e5cb871097806b4dbc6c8a7ecd8f0

See more details on using hashes here.

File details

Details for the file biosimulators_copasi-0.2.18-py3-none-any.whl.

File metadata

File hashes

Hashes for biosimulators_copasi-0.2.18-py3-none-any.whl
Algorithm Hash digest
SHA256 1fa27fe88279c5fdd9f5e3027b1b5550e9e73fbab113d29f5ceab49d7fc218fd
MD5 1f38d0a3792c54c022db817f8f7b5dc5
BLAKE2b-256 44161f5b6ee20554853330a97f7c534c43f32ec4ef943b4335fb8dc037dd68f5

See more details on using hashes here.

Supported by

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