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-0.1.9.tar.gz (8.2 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-0.1.9-py2.py3-none-any.whl (9.2 kB view details)

Uploaded Python 2Python 3

File details

Details for the file biosimulators_amici-0.1.9.tar.gz.

File metadata

  • Download URL: biosimulators_amici-0.1.9.tar.gz
  • Upload date:
  • Size: 8.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

File hashes

Hashes for biosimulators_amici-0.1.9.tar.gz
Algorithm Hash digest
SHA256 76705ec799ad9d3013921af604d69ee119a8eba6876ab4e3df482b0670759234
MD5 00d6dfa533ca196150fa94ba905ef8fd
BLAKE2b-256 47fc75a138616372e844776d1e4cb53050eb8e2d613562d705c2b43d338d3592

See more details on using hashes here.

File details

Details for the file biosimulators_amici-0.1.9-py2.py3-none-any.whl.

File metadata

  • Download URL: biosimulators_amici-0.1.9-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10

File hashes

Hashes for biosimulators_amici-0.1.9-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7b0296a6a0d6da31c60d1ef140063cc7272aa67caf7d2ded842b9ba3f91e78b7
MD5 f9b98aa9c6d50dd9d9929ddcb273e3de
BLAKE2b-256 b7725aa63dd104f503801729610092d5147ca2661a190e3f89f936736558a458

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