biomass


Namebiomass JSON
Version 0.12.0 PyPI version JSON
download
home_page
SummaryA Python Framework for Modeling and Analysis of Signaling Systems
upload_time2023-05-05 08:37:39
maintainer
docs_urlNone
authorHiroaki Imoto
requires_python>=3.8
licenseApache-2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <br>
<p align="center">
    <a href="https://biomass-core.readthedocs.io/en/latest">
        <img src="https://raw.githubusercontent.com/biomass-dev/biomass/master/docs/_static/img/biomass-logo.png" width="400">
    </a>
</p>

[![PyPI version](https://img.shields.io/pypi/v/biomass.svg?logo=PyPI&logoColor=white)](https://pypi.python.org/pypi/biomass)
[![Actions Status](https://github.com/biomass-dev/biomass/workflows/Tests/badge.svg)](https://github.com/biomass-dev/biomass/actions)
[![Documentation Status](https://img.shields.io/readthedocs/biomass-core/latest.svg?logo=read%20the%20docs&logoColor=white&&label=Docs&version=latest)](https://biomass-core.readthedocs.io/en/latest/?badge=latest)
[![License](https://img.shields.io/badge/License-Apache%202.0-green.svg?logo=apache)](https://opensource.org/licenses/Apache-2.0)
[![Downloads](https://pepy.tech/badge/biomass)](https://pepy.tech/project/biomass)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/biomass.svg?logo=Python&logoColor=white)](https://pypi.python.org/pypi/biomass)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/biomass-dev/biomass/master.svg)](https://results.pre-commit.ci/latest/github/biomass-dev/biomass/master)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
[![Cancers Paper](https://img.shields.io/badge/DOI-10.3390%2Fcancers12102878-blue)](https://doi.org/10.3390/cancers12102878)

_BioMASS_ is a computational framework for modeling and analysis of biological signaling systems in Python.

- **Documentation:** https://biomass-core.rtfd.io
- **Source code:** https://github.com/biomass-dev/biomass
- **Bug reports:** https://github.com/biomass-dev/biomass/issues
- **Citing in your work:** https://biomass-core.rtfd.io/en/latest/citing.html

It provides useful tools for numerical simulation, parameter estimation, network analysis, and result visualization.

## Installation

The BioMASS library is available at the [Python Package Index (PyPI)](https://pypi.org/project/biomass).

```shell
$ pip install biomass
```

BioMASS supports Python 3.8 or newer.

## References

- Imoto, H., Zhang, S. & Okada, M. A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data—Application to the ErbB Receptor Signaling Pathway. _Cancers_ **12**, 2878 (2020). https://doi.org/10.3390/cancers12102878

- Imoto, H., Yamashiro, S. & Okada, M. A text-based computational framework for patient -specific modeling for classification of cancers. _iScience_ **25**, 103944 (2022). https://doi.org/10.1016/j.isci.2022.103944

## Author

[Hiroaki Imoto](https://github.com/himoto)

## License

[Apache License 2.0](https://github.com/biomass-dev/biomass/blob/master/LICENSE)

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "biomass",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "Hiroaki Imoto <hiroaki.imoto@ucd.ie>",
    "keywords": "",
    "author": "Hiroaki Imoto",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/4f/07/1dc5ae8a39bba186d1b272f2432e0e08b6ee8b58950995961609334556c0/biomass-0.12.0.tar.gz",
    "platform": null,
    "description": "<br>\n<p align=\"center\">\n    <a href=\"https://biomass-core.readthedocs.io/en/latest\">\n        <img src=\"https://raw.githubusercontent.com/biomass-dev/biomass/master/docs/_static/img/biomass-logo.png\" width=\"400\">\n    </a>\n</p>\n\n[![PyPI version](https://img.shields.io/pypi/v/biomass.svg?logo=PyPI&logoColor=white)](https://pypi.python.org/pypi/biomass)\n[![Actions Status](https://github.com/biomass-dev/biomass/workflows/Tests/badge.svg)](https://github.com/biomass-dev/biomass/actions)\n[![Documentation Status](https://img.shields.io/readthedocs/biomass-core/latest.svg?logo=read%20the%20docs&logoColor=white&&label=Docs&version=latest)](https://biomass-core.readthedocs.io/en/latest/?badge=latest)\n[![License](https://img.shields.io/badge/License-Apache%202.0-green.svg?logo=apache)](https://opensource.org/licenses/Apache-2.0)\n[![Downloads](https://pepy.tech/badge/biomass)](https://pepy.tech/project/biomass)\n[![PyPI pyversions](https://img.shields.io/pypi/pyversions/biomass.svg?logo=Python&logoColor=white)](https://pypi.python.org/pypi/biomass)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/biomass-dev/biomass/master.svg)](https://results.pre-commit.ci/latest/github/biomass-dev/biomass/master)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)\n[![Cancers Paper](https://img.shields.io/badge/DOI-10.3390%2Fcancers12102878-blue)](https://doi.org/10.3390/cancers12102878)\n\n_BioMASS_ is a computational framework for modeling and analysis of biological signaling systems in Python.\n\n- **Documentation:** https://biomass-core.rtfd.io\n- **Source code:** https://github.com/biomass-dev/biomass\n- **Bug reports:** https://github.com/biomass-dev/biomass/issues\n- **Citing in your work:** https://biomass-core.rtfd.io/en/latest/citing.html\n\nIt provides useful tools for numerical simulation, parameter estimation, network analysis, and result visualization.\n\n## Installation\n\nThe BioMASS library is available at the [Python Package Index (PyPI)](https://pypi.org/project/biomass).\n\n```shell\n$ pip install biomass\n```\n\nBioMASS supports Python 3.8 or newer.\n\n## References\n\n- Imoto, H., Zhang, S. & Okada, M. A Computational Framework for Prediction and Analysis of Cancer Signaling Dynamics from RNA Sequencing Data\u2014Application to the ErbB Receptor Signaling Pathway. _Cancers_ **12**, 2878 (2020). https://doi.org/10.3390/cancers12102878\n\n- Imoto, H., Yamashiro, S. & Okada, M. A text-based computational framework for patient -specific modeling for classification of cancers. _iScience_ **25**, 103944 (2022). https://doi.org/10.1016/j.isci.2022.103944\n\n## Author\n\n[Hiroaki Imoto](https://github.com/himoto)\n\n## License\n\n[Apache License 2.0](https://github.com/biomass-dev/biomass/blob/master/LICENSE)\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "A Python Framework for Modeling and Analysis of Signaling Systems",
    "version": "0.12.0",
    "project_urls": {
        "bugtracker": "https://github.com/biomass-dev/biomass/issues",
        "documentation": "https://biomass-core.readthedocs.io/en/latest/",
        "repository": "https://github.com/biomass-dev/biomass"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "242f26cd2ae55a1ae07c7fd95d9bd6644192287bd00830a99bb4422666853b45",
                "md5": "bbd4463dfccfad9e9ed05ee2a0fcee2b",
                "sha256": "195a5664d9efb6f1e99bb960aa0e7a5f7373cfc4e7897b420861fef7dcef7bb5"
            },
            "downloads": -1,
            "filename": "biomass-0.12.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "bbd4463dfccfad9e9ed05ee2a0fcee2b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 164511,
            "upload_time": "2023-05-05T08:37:37",
            "upload_time_iso_8601": "2023-05-05T08:37:37.275298Z",
            "url": "https://files.pythonhosted.org/packages/24/2f/26cd2ae55a1ae07c7fd95d9bd6644192287bd00830a99bb4422666853b45/biomass-0.12.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4f071dc5ae8a39bba186d1b272f2432e0e08b6ee8b58950995961609334556c0",
                "md5": "a0e5e1b53ca52f42d6fbcc0ee2a40483",
                "sha256": "01b1abff75050297d5732e1f265e4aaf8fbb359fdde7c45c69de5edc85498998"
            },
            "downloads": -1,
            "filename": "biomass-0.12.0.tar.gz",
            "has_sig": false,
            "md5_digest": "a0e5e1b53ca52f42d6fbcc0ee2a40483",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 129772,
            "upload_time": "2023-05-05T08:37:39",
            "upload_time_iso_8601": "2023-05-05T08:37:39.502399Z",
            "url": "https://files.pythonhosted.org/packages/4f/07/1dc5ae8a39bba186d1b272f2432e0e08b6ee8b58950995961609334556c0/biomass-0.12.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-05-05 08:37:39",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "biomass-dev",
    "github_project": "biomass",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "biomass"
}
        
Elapsed time: 0.06164s