sumonet


Namesumonet JSON
Version 0.1.7 PyPI version JSON
download
home_pagehttps://github.com/berkedilekoglu/SUMOnet
SummaryPackage Description
upload_time2024-05-22 15:51:19
maintainerNone
docs_urlNone
authorBerke Dilekoglu
requires_pythonNone
licenseAcademic Free License ("AFL") v. 3.0
keywords sumoylation machine-learning deep-learning bioinformatics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# SUMOnet

SUMOnet that take the peptide sequence centered on the candidate SUMOylation site as input and predict whether the lysine could be SUMOylated

## Quick Install

```sh
pip install sumonet
```

## Requirements

> We strongly recomment using virtual environment for these package requirements.

> All packages will be installed automatically by pip.

> The following package versions were used to get evaluation results in our paper.

```python
python 3.6.6
numpy 1.19.5
scikit-learn 0.24.2
joblib 1.0.0
pandas 1.0.5
tensorflow 2.4.0
keras 2.3.1
loguru 0.7.2
```

## Detailed Tutorial For Use Cases

Please visit our [Tutorial Page](https://sumonet.onrender.com/)


## Citation

If you use SUMOnet in your work, please do cite us:

[Dilekoglu, B., Tastan, O.: Sumonet: Deep sequential prediction of sumoylation sites. bioRxiv (2023).](https://www.biorxiv.org/content/10.1101/2023.08.25.554749v1)

## License

[Academic Free License ("AFL") v. 3.0](https://choosealicense.com/licenses/afl-3.0/#)

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/berkedilekoglu/SUMOnet",
    "name": "sumonet",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "sumoylation machine-learning deep-learning bioinformatics",
    "author": "Berke Dilekoglu",
    "author_email": "berkedilekoglu@sabanciuniv.edu",
    "download_url": "https://files.pythonhosted.org/packages/5f/2a/a37ac900c527a3c8caffeb9ca95bfa9929d2c75d9bfdaeb1427eacfc49f4/sumonet-0.1.7.tar.gz",
    "platform": null,
    "description": "\n# SUMOnet\n\nSUMOnet that take the peptide sequence centered on the candidate SUMOylation site as input and predict whether the lysine could be SUMOylated\n\n## Quick Install\n\n```sh\npip install sumonet\n```\n\n## Requirements\n\n> We strongly recomment using virtual environment for these package requirements.\n\n> All packages will be installed automatically by pip.\n\n> The following package versions were used to get evaluation results in our paper.\n\n```python\npython 3.6.6\nnumpy 1.19.5\nscikit-learn 0.24.2\njoblib 1.0.0\npandas 1.0.5\ntensorflow 2.4.0\nkeras 2.3.1\nloguru 0.7.2\n```\n\n## Detailed Tutorial For Use Cases\n\nPlease visit our [Tutorial Page](https://sumonet.onrender.com/)\n\n\n## Citation\n\nIf you use SUMOnet in your work, please do cite us:\n\n[Dilekoglu, B., Tastan, O.: Sumonet: Deep sequential prediction of sumoylation sites. bioRxiv (2023).](https://www.biorxiv.org/content/10.1101/2023.08.25.554749v1)\n\n## License\n\n[Academic Free License (\"AFL\") v. 3.0](https://choosealicense.com/licenses/afl-3.0/#)\n",
    "bugtrack_url": null,
    "license": "Academic Free License (\"AFL\") v. 3.0",
    "summary": "Package Description",
    "version": "0.1.7",
    "project_urls": {
        "Download": "https://github.com/berkedilekoglu/SUMOnet/archive/refs/tags/v0.1.6tar.gz",
        "Homepage": "https://github.com/berkedilekoglu/SUMOnet"
    },
    "split_keywords": [
        "sumoylation",
        "machine-learning",
        "deep-learning",
        "bioinformatics"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "5f2aa37ac900c527a3c8caffeb9ca95bfa9929d2c75d9bfdaeb1427eacfc49f4",
                "md5": "b9aadf9807b6bb16c2e8aa430344784f",
                "sha256": "9e1a4b2cfe090f23fdd8009b4115b98b93c48d0dc6f98a69e1c57cad327a30d4"
            },
            "downloads": -1,
            "filename": "sumonet-0.1.7.tar.gz",
            "has_sig": false,
            "md5_digest": "b9aadf9807b6bb16c2e8aa430344784f",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 788944,
            "upload_time": "2024-05-22T15:51:19",
            "upload_time_iso_8601": "2024-05-22T15:51:19.828832Z",
            "url": "https://files.pythonhosted.org/packages/5f/2a/a37ac900c527a3c8caffeb9ca95bfa9929d2c75d9bfdaeb1427eacfc49f4/sumonet-0.1.7.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-22 15:51:19",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "berkedilekoglu",
    "github_project": "SUMOnet",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "sumonet"
}
        
Elapsed time: 0.41040s