omniplate


Nameomniplate JSON
Version 3.0.21 PyPI version JSON
download
home_pagehttps://swainlab.bio.ed.ac.uk/software/omniplate
SummaryFor analysing and meta-analysing plate-reader data
upload_time2025-10-06 16:26:44
maintainerNone
docs_urlNone
authorPeter Swain
requires_python<3.12,>=3.11
licenseMIT
keywords omniplate systems biology bioinformatics plate readers
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Omniplate
A Python package for analysing data from plate-reader studies of growing biological cells. Users can correct for autofluorescence, determine growth rates and the amount of fluorescence per cell, and simultaneously analyse multiple experiments.

## Documentation
A tutorial is [available](https://swainlab.bio.ed.ac.uk/software/omniplate/).

## Development history
+ `v3.0`: Consistent use of snake_case, but breaking backwards compatibility
+ `v3.0.2`: Only for python 3.11. Nunchaku updated.

## Citation
If you find the software useful, please consider citing:

MontaƱo-Gutierrez, L. F., Moreno, N. M., Farquhar, I. L., Huo, Y., Bandiera, L., & Swain, P. S. (2022). Analysing and meta-analysing time-series data of microbial growth and gene expression from plate readers. PLOS Computational Biology, 18(5), e1010138.

            

Raw data

            {
    "_id": null,
    "home_page": "https://swainlab.bio.ed.ac.uk/software/omniplate",
    "name": "omniplate",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<3.12,>=3.11",
    "maintainer_email": null,
    "keywords": "omniplate, systems biology, bioinformatics, plate readers",
    "author": "Peter Swain",
    "author_email": "peter.swain@ed.ac.uk",
    "download_url": "https://files.pythonhosted.org/packages/f4/3b/be731abbc2e91d0bc6f776f211093714bd4138bc21febce06fe4d294bfe0/omniplate-3.0.21.tar.gz",
    "platform": null,
    "description": "# Omniplate\nA Python package for analysing data from plate-reader studies of growing biological cells. Users can correct for autofluorescence, determine growth rates and the amount of fluorescence per cell, and simultaneously analyse multiple experiments.\n\n## Documentation\nA tutorial is [available](https://swainlab.bio.ed.ac.uk/software/omniplate/).\n\n## Development history\n+ `v3.0`: Consistent use of snake_case, but breaking backwards compatibility\n+ `v3.0.2`: Only for python 3.11. Nunchaku updated.\n\n## Citation\nIf you find the software useful, please consider citing:\n\nMonta\u00f1o-Gutierrez, L. F., Moreno, N. M., Farquhar, I. L., Huo, Y., Bandiera, L., & Swain, P. S. (2022). Analysing and meta-analysing time-series data of microbial growth and gene expression from plate readers. PLOS Computational Biology, 18(5), e1010138.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "For analysing and meta-analysing plate-reader data",
    "version": "3.0.21",
    "project_urls": {
        "Documentation": "https://swainlab.bio.ed.ac.uk/software/omniplate",
        "Homepage": "https://swainlab.bio.ed.ac.uk/software/omniplate",
        "Repository": "https://git.ecdf.ed.ac.uk/pswain/omniplate"
    },
    "split_keywords": [
        "omniplate",
        " systems biology",
        " bioinformatics",
        " plate readers"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "399d53b79c70746e512032a8a8162b2ceaa2eed8e09c088618c72340a5c6f0f4",
                "md5": "9dadeae1acf806ab8a8ed373a30cdd79",
                "sha256": "3de0cb94ba84041d61dfa69f5c8427a13a1e5e06cbba77ba8d9a1755d926a3e3"
            },
            "downloads": -1,
            "filename": "omniplate-3.0.21-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "9dadeae1acf806ab8a8ed373a30cdd79",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<3.12,>=3.11",
            "size": 76655,
            "upload_time": "2025-10-06T16:26:42",
            "upload_time_iso_8601": "2025-10-06T16:26:42.646590Z",
            "url": "https://files.pythonhosted.org/packages/39/9d/53b79c70746e512032a8a8162b2ceaa2eed8e09c088618c72340a5c6f0f4/omniplate-3.0.21-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f43bbe731abbc2e91d0bc6f776f211093714bd4138bc21febce06fe4d294bfe0",
                "md5": "21e42128daf0b261e74a63ee89c04a2e",
                "sha256": "b57936d4aade72fa66c67294de82b7cf299d7a31cd9eee05c577f9901cedc612"
            },
            "downloads": -1,
            "filename": "omniplate-3.0.21.tar.gz",
            "has_sig": false,
            "md5_digest": "21e42128daf0b261e74a63ee89c04a2e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<3.12,>=3.11",
            "size": 64001,
            "upload_time": "2025-10-06T16:26:44",
            "upload_time_iso_8601": "2025-10-06T16:26:44.179044Z",
            "url": "https://files.pythonhosted.org/packages/f4/3b/be731abbc2e91d0bc6f776f211093714bd4138bc21febce06fe4d294bfe0/omniplate-3.0.21.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-10-06 16:26:44",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "omniplate"
}
        
Elapsed time: 4.53015s