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-0.2.23.tar.gz (20.6 kB view details)

Uploaded Source

Built Distribution

biosimulators_copasi-0.2.23-py3-none-any.whl (21.9 kB view details)

Uploaded Python 3

File details

Details for the file biosimulators_copasi-0.2.23.tar.gz.

File metadata

  • Download URL: biosimulators_copasi-0.2.23.tar.gz
  • Upload date:
  • Size: 20.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.15 Linux/6.5.0-1025-azure

File hashes

Hashes for biosimulators_copasi-0.2.23.tar.gz
Algorithm Hash digest
SHA256 b89ae73a11225d162311560f46613a51a24c5dc7f587d2beb900f8499c1b31fb
MD5 51bf1a5c4a6779f608f769e531a58bac
BLAKE2b-256 3b60d194a24a4ff34242a83f68a2dfe6719d34700129acc2853b1487914b7bbd

See more details on using hashes here.

File details

Details for the file biosimulators_copasi-0.2.23-py3-none-any.whl.

File metadata

File hashes

Hashes for biosimulators_copasi-0.2.23-py3-none-any.whl
Algorithm Hash digest
SHA256 295f55373489ea7f2066456bf295f807bbcbaa2e38aaddbd8bb154c02586ab17
MD5 ee543ed4a1172536a7fd20414762b429
BLAKE2b-256 8f911ad5350e0b84e23a9d26c8b3c4c184734feae03837762b13e280a9f91e33

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