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.

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-0.1.13.tar.gz (10.3 kB view details)

Uploaded Source

Built Distribution

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

biosimulators_amici-0.1.13-py2.py3-none-any.whl (9.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file biosimulators_amici-0.1.13.tar.gz.

File metadata

  • Download URL: biosimulators_amici-0.1.13.tar.gz
  • Upload date:
  • Size: 10.3 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_amici-0.1.13.tar.gz
Algorithm Hash digest
SHA256 d889ec2229865768d9ffa8da5f04cef5a4bba5c2d4410f2df373510e83716c7c
MD5 294b8cdcd283317ce94ecd4fbc8ff152
BLAKE2b-256 f385de18cedf6266be7d357f84167ae2da8937817cd25e09cfb272cd68ab437d

See more details on using hashes here.

File details

Details for the file biosimulators_amici-0.1.13-py2.py3-none-any.whl.

File metadata

  • Download URL: biosimulators_amici-0.1.13-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.6 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_amici-0.1.13-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6edbce5ab7dfd2c2650cd6d5c3b0b95c1fbc3b4db630a72b50e15ac83a3c08c6
MD5 b36dfd8f6b7abf60e96c5029c5f47da4
BLAKE2b-256 12a1269da3cb431bcf06b0d516f669783cdd4e32df75bcec04590d627a0d535a

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