Skip to main content

BioSimulators-compliant command-line interface to the AMICI simulation program <https://github.com/AMICI-dev/amici>.

Project description

Latest release PyPI CI status Test coverage

BioSimulators-AMICI

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

This command-line interface and Docker image enable users to use AMICI 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 AMICI is available at BioSimulators.

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

Contents

Installation

Install Python package

pip install biosimulators-amici

Install Docker image

docker pull ghcr.io/biosimulators/amici

Usage

Local usage

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

BioSimulators-compliant command-line interface to the AMICI simulation program <https://github.com/AMICI-dev/AMICI>.

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

Documentation

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

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_amici-0.1.0.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

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

biosimulators_amici-0.1.0-py2.py3-none-any.whl (8.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file biosimulators_amici-0.1.0.tar.gz.

File metadata

  • Download URL: biosimulators_amici-0.1.0.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.9

File hashes

Hashes for biosimulators_amici-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b6889cc5514c4fb744ebc0a86ab085fb4a15d7213267c86f4f7414cdd4e4d2c8
MD5 b9e99956f559330c5b597a2cd6abbdbb
BLAKE2b-256 0437c6b51f802c2d018fb34b77febecf4018c854e7486565e9062e847ae66de9

See more details on using hashes here.

File details

Details for the file biosimulators_amici-0.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: biosimulators_amici-0.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.7.9

File hashes

Hashes for biosimulators_amici-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d977e84be59d52011e347d8c98117bfe26586892fd6664a6e95cead65be63e07
MD5 5b620aaf8ae4433d4ae88630d288524d
BLAKE2b-256 98afb6f4fd570e1f3099738f190d904ea14b6083f4b0be78a986b2c0e183efbc

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