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Description:

pymetadata 0.4.4

pymetadata: python utilities for metadata and COMBINE archives

pymetadata is a collection of python utilities for working with
metadata in the context of COMBINE standards with source code available from
https://github.com/matthiaskoenig/pymetadata.
Features include among others

COMBINE archive version 1 support (OMEX)
annotation classes and helpers
SBO and KISAO ontology enums

If you have any questions or issues please open an issue.

Documentation
Documentation is still work in progress. For an example usage of the COMBINE archive
see src/pymetadata/examples/omex_example.py.

How to cite

Contributing
Contributions are always welcome! Please read the contributing guidelines to
get started.

License

Source Code: LGPLv3
Documentation: CC BY-SA 4.0

The pymetadata source is released under both the GPL and LGPL licenses version 2 or
later. You may choose which license you choose to use the software under.
This program is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License or the GNU Lesser General Public
License as published by the Free Software Foundation, either version 2 of the
License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. See the GNU General Public License for more details.

Funding
Matthias König (MK) was supported by the Federal Ministry of Education and Research
(BMBF, Germany) within the research network Systems Medicine of the Liver
(LiSyM, grant number 031L0054). MK is supported by the Federal Ministry of
Education and Research (BMBF, Germany) within ATLAS by grant number 031L0304B and
by the German Research Foundation (DFG) within the Research Unit Program FOR 5151
QuaLiPerF (Quantifying Liver Perfusion-Function Relationship in Complex Resection
- A Systems Medicine Approach) by grant number 436883643 and by grant number
465194077 (Priority Programme SPP 2311, Subproject SimLivA).

Installation
pymetadata is available from pypi and
can be installed via:
pip install pymetadata

Develop version
The latest develop version can be installed via:
pip install git+https://github.com/matthiaskoenig/pymetadata.git@develop
Or via cloning the repository and installing via:
git clone https://github.com/matthiaskoenig/pymetadata.git
cd pymetadata
pip install -e .
To install for development use:
pip install -e .[development]

Cache path
pymetadata caches some information for faster retrieval. The cache path is set to:
CACHE_PATH: Path = Path.home() / ".cache" / "pymetadata"
To use a custom cache path use:
import pymetadata
pymetadata.CACHE_PATH = <cache_path>
© 2021-2024 Matthias König