Metadata-Version: 2.4
Name: MacSyLib
Version: 1.0.4
Summary: MacSyLib: Python library that help to detect of macromolecular, systems genetic pathways… in prokaryotes protein datasets using systems modelling and similarity search.
Author-email: Sophie Abby <sophie.abby@univ-grenoble-alpes.fr>, Bertrand Neron <bneron@pasteur.fr>
Maintainer-email: Bertrand Neron <bneron@pasteur.fr>
License-Expression: GPL-3.0-or-later
Project-URL: Homepage, https://github.com/gem-pasteur/macsylib/
Project-URL: Documentation, https://macsylib.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/gem-pasteur/macsylib/
Project-URL: Issues, https://github.com/gem-pasteur/macsylib/issues
Project-URL: Changelog, https://macsylib.readthedocs.io/en/latest/user_guide/new.html
Keywords: science,research,bioinformatic,microbiology,genomic,prokaryote,functional gene annotation
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Operating System :: POSIX
Classifier: Environment :: Console
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: COPYING
Requires-Dist: colorlog>=4.0.2
Requires-Dist: PyYAML>=5.1.1
Requires-Dist: packaging>=18.0
Requires-Dist: networkx>=2.4
Requires-Dist: pandas>=1.03
Requires-Dist: colorama>=0.4.4
Requires-Dist: certifi
Provides-Extra: model
Requires-Dist: GitPython; extra == "model"
Requires-Dist: lxml; extra == "model"
Provides-Extra: dev
Requires-Dist: macsylib[model]; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx_rtd_theme; extra == "dev"
Requires-Dist: sphinx-autodoc-typehints; extra == "dev"
Requires-Dist: sphinxcontrib-svg2pdfconverter; extra == "dev"
Requires-Dist: coverage[toml]; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Dynamic: license-file

![MacSyLib banner](./.github/logo_macsylib.png "MacSyLib")


# MacSyLib

MacSyLib is a python package library that allow to model and detect macromolecular systems, genetic pathways…
by similarity search in prokaryotes datasets.

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## Citations

MacSyFinder v2:
Néron, Bertrand; Denise, Rémi; Coluzzi, Charles; Touchon, Marie; Rocha, Eduardo P.C.; Abby, Sophie S.
MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes.
Peer Community Journal, Volume 3 (2023), article no. e28. doi : 10.24072/pcjournal.250.
https://peercommunityjournal.org/articles/10.24072/pcjournal.250/

## Licence:

MacSyLib is developed and released under [![Open Source License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://opensource.org/licenses/GPL-3.0)

## Installation

> [!IMPORTANT]
> MacSyLib requires hmmer >= 3.1 (http://hmmer.org/).
> You need to install hmmer by yourself (except if you install macsylib via *conda/mamba*).
> If you are a modeler, you will need also `git`
> The other dependencies are managed by the python package manager *pip*.

### Installation from distribution

We encourage to install macsylib in a [virtualenv](https://virtualenv.pypa.io/en/latest/)

After creating a virtualenv dedicated to MacSyLib and activating it

    python3 -m venv my_project
    cd my_project
    source bin/activate

you can install macsylib as described below:

We distinguish 3 kind of MacSyLib users:

- The **end user**, who want to analyse it's data with the library
- The **modeler**, who want to modelize new macromolecular systems
- The **developer** who want to add or fix methods in the macsylib code

By default the installation is for the end user, if you are modeler or developer there is a specific pip target.

For instance for the *modelers*
```bash
python -m pip install .[model]
```

For the *developpers*
```bash
python -m pip install -e .[dev]
```

For someone who is both *developper* and *modeler*

```bash
python -m pip install -e [dev,model]
```

For the developers:  
Once you have installed macsylib do not forget to install pre-commit hooks

```bash
pre-commit install
```

## Models installation

Models are no longer shipped along macsyfinder nor macsylib packages.
To install Models you can use `msl_data` (shipped with MacSyLib).
*msl_data* (formely *macsydata*) allow to manage models stored in [macsy-models](https://github.com/macsy-models).
Below some most useful commands.

  * available: List Models available on macsy-models.
  * search: Discover new packages.
  * install: Install or upgarde packages.
  * uninstall: Uninstall packages.
  * cite: How to cite a package.
  * ...

For complete documentation see
[macsydata section on readthedoc](https://macsylib.readthedocs.io/en/latest/user_guide/installation.html#models-installation-with-macsydata)

For models not stored in macsy-models the commands *available*, *search*, *installation from remote* or *upgrade from remote*
are **NOT** available.

For models **Not** stored in *macsy-models*, you have to manage them semi-manually.
Download the archive (do not unarchive it), then use *msl_data* for the installation.

## Use MacSyLib

    import macsylib


## Contributing

We encourage contributions, bug report, enhancement ...

But before to do that, we encourage to read [the contributing guide](CONTRIBUTING.md).

## Contributors

[List of all people who participated in the macsylib project](CONTRIBUTORS.md).
