[](https://GitHub.com/bioexcel/biobb_ml/tags/)
[](https://pypi.python.org/pypi/biobb-ml/)
[](https://anaconda.org/bioconda/biobb_ml)
[](https://anaconda.org/bioconda/biobb_ml)
[](https://quay.io/repository/biocontainers/biobb_ml?tab=tags)
[](https://depot.galaxyproject.org/singularity/biobb_ml:4.2.0--pyhdfd78af_0)
[](https://github.com/bioexcel/biobb_ml)
[](https://pypi.org/project/biobb-ml/)
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/bioexcel/biobb_ml)
[](https://biobb-ml.readthedocs.io/en/latest/?badge=latest)
[](https://mmb.irbbarcelona.org/biobb/)
[](https://www.youtube.com/watch?v=ou1DOGNs0xM)
[](https://doi.org/10.1038/s41597-019-0177-4)
[](https://www.nature.com/articles/s41597-019-0177-4#citeas)
[](https://docs.bioexcel.eu/biobb_ml/junit/report.html)
[](https://docs.bioexcel.eu/biobb_ml/coverage/)
[](https://docs.bioexcel.eu/biobb_ml/flake8/)
[](https://github.com/bioexcel/biobb_ml/commits/master)
[](https://GitHub.com/bioexcel/biobb_ml/issues/)
[](https://fair-software.eu)
[](https://www.bestpractices.dev/projects/8847)
[](https://bestpractices.coreinfrastructure.org/projects/8847/badge)
[//]: # (The previous line invisible link is for compatibility with the howfairis script https://github.com/fair-software/howfairis-github-action/tree/main wich uses the old bestpractices URL)
# biobb_ml
### Introduction
Biobb_ml is the Biobb module collection to perform machine learning predictions.
Biobb (BioExcel building blocks) packages are Python building blocks that
create new layer of compatibility and interoperability over popular
bioinformatics tools.
The latest documentation of this package can be found in our readthedocs site:
[latest API documentation](http://biobb-ml.readthedocs.io/en/latest/).
### Version
v4.2.0 2024.1
### Installation
Using PIP:
> **Important:** PIP only installs the package. All the dependencies must be installed separately. To perform a complete installation, please use ANACONDA, DOCKER or SINGULARITY.
* Installation:
pip install "biobb_ml>=4.2.0"
* Usage: [Python API documentation](https://biobb-ml.readthedocs.io/en/latest/modules.html)
Using ANACONDA:
* Installation:
conda install -c bioconda "biobb_ml>=4.2.0"
* Usage: With conda installation BioBBs can be used with the [Python API documentation](https://biobb-ml.readthedocs.io/en/latest/modules.html) and the [Command Line documentation](https://biobb-ml.readthedocs.io/en/latest/command_line.html)
Using DOCKER:
* Installation:
docker pull quay.io/biocontainers/biobb_ml:4.2.0--pyhdfd78af_0
* Usage:
docker run quay.io/biocontainers/biobb_ml:4.2.0--pyhdfd78af_0 <command>
Using SINGULARITY:
**MacOS users**: it's strongly recommended to avoid Singularity and use **Docker** as containerization system.
* Installation:
singularity pull --name biobb_ml.sif https://depot.galaxyproject.org/singularity/biobb_ml:4.2.0--pyhdfd78af_0
* Usage:
singularity exec biobb_ml.sif <command>
The command list and specification can be found at the [Command Line documentation](https://biobb-ml.readthedocs.io/en/latest/command_line.html).
### Copyright & Licensing
This software has been developed in the [MMB group](http://mmb.irbbarcelona.org) at the [BSC](http://www.bsc.es/) & [IRB](https://www.irbbarcelona.org/) for the [European BioExcel](http://bioexcel.eu/), funded by the European Commission (EU H2020 [823830](http://cordis.europa.eu/projects/823830), EU H2020 [675728](http://cordis.europa.eu/projects/675728)).
* (c) 2015-2024 [Barcelona Supercomputing Center](https://www.bsc.es/)
* (c) 2015-2024 [Institute for Research in Biomedicine](https://www.irbbarcelona.org/)
Licensed under the
[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0), see the file LICENSE for details.
Raw data
{
"_id": null,
"home_page": "https://github.com/bioexcel/biobb_ml",
"name": "biobb-ml",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "Bioinformatics Workflows BioExcel Compatibility",
"author": "Biobb developers",
"author_email": "genis.bayarri@irbbarcelona.org",
"download_url": "https://files.pythonhosted.org/packages/b7/37/c7bb7d4dce11f257f11ba56a0accf3ae9da192ab746df2ea965c2dc37d31/biobb_ml-4.2.0.tar.gz",
"platform": null,
"description": "[](https://GitHub.com/bioexcel/biobb_ml/tags/)\n[](https://pypi.python.org/pypi/biobb-ml/)\n[](https://anaconda.org/bioconda/biobb_ml)\n[](https://anaconda.org/bioconda/biobb_ml)\n[](https://quay.io/repository/biocontainers/biobb_ml?tab=tags)\n[](https://depot.galaxyproject.org/singularity/biobb_ml:4.2.0--pyhdfd78af_0)\n\n[](https://github.com/bioexcel/biobb_ml)\n[](https://pypi.org/project/biobb-ml/)\n[](https://opensource.org/licenses/Apache-2.0)\n[](https://github.com/bioexcel/biobb_ml)\n\n[](https://biobb-ml.readthedocs.io/en/latest/?badge=latest)\n[](https://mmb.irbbarcelona.org/biobb/)\n[](https://www.youtube.com/watch?v=ou1DOGNs0xM)\n[](https://doi.org/10.1038/s41597-019-0177-4)\n[](https://www.nature.com/articles/s41597-019-0177-4#citeas)\n\n[](https://docs.bioexcel.eu/biobb_ml/junit/report.html)\n[](https://docs.bioexcel.eu/biobb_ml/coverage/)\n[](https://docs.bioexcel.eu/biobb_ml/flake8/)\n[](https://github.com/bioexcel/biobb_ml/commits/master)\n[](https://GitHub.com/bioexcel/biobb_ml/issues/)\n\n[](https://fair-software.eu)\n[](https://www.bestpractices.dev/projects/8847)\n\n[](https://bestpractices.coreinfrastructure.org/projects/8847/badge)\n\n[//]: # (The previous line invisible link is for compatibility with the howfairis script https://github.com/fair-software/howfairis-github-action/tree/main wich uses the old bestpractices URL)\n\n# biobb_ml\n\n### Introduction\nBiobb_ml is the Biobb module collection to perform machine learning predictions.\nBiobb (BioExcel building blocks) packages are Python building blocks that\ncreate new layer of compatibility and interoperability over popular\nbioinformatics tools.\nThe latest documentation of this package can be found in our readthedocs site:\n[latest API documentation](http://biobb-ml.readthedocs.io/en/latest/).\n\n### Version\nv4.2.0 2024.1\n\n### Installation\nUsing PIP:\n\n> **Important:** PIP only installs the package. All the dependencies must be installed separately. To perform a complete installation, please use ANACONDA, DOCKER or SINGULARITY.\n\n* Installation:\n\n\n pip install \"biobb_ml>=4.2.0\"\n\n\n* Usage: [Python API documentation](https://biobb-ml.readthedocs.io/en/latest/modules.html)\n\nUsing ANACONDA:\n\n* Installation:\n\n\n conda install -c bioconda \"biobb_ml>=4.2.0\"\n\n\n* Usage: With conda installation BioBBs can be used with the [Python API documentation](https://biobb-ml.readthedocs.io/en/latest/modules.html) and the [Command Line documentation](https://biobb-ml.readthedocs.io/en/latest/command_line.html)\n\nUsing DOCKER:\n\n* Installation:\n\n\n docker pull quay.io/biocontainers/biobb_ml:4.2.0--pyhdfd78af_0\n\n\n* Usage:\n\n\n docker run quay.io/biocontainers/biobb_ml:4.2.0--pyhdfd78af_0 <command>\n\n\nUsing SINGULARITY:\n\n**MacOS users**: it's strongly recommended to avoid Singularity and use **Docker** as containerization system.\n\n* Installation:\n\n\n singularity pull --name biobb_ml.sif https://depot.galaxyproject.org/singularity/biobb_ml:4.2.0--pyhdfd78af_0\n\n\n* Usage:\n\n\n singularity exec biobb_ml.sif <command>\n\n\nThe command list and specification can be found at the [Command Line documentation](https://biobb-ml.readthedocs.io/en/latest/command_line.html).\n\n### Copyright & Licensing\nThis software has been developed in the [MMB group](http://mmb.irbbarcelona.org) at the [BSC](http://www.bsc.es/) & [IRB](https://www.irbbarcelona.org/) for the [European BioExcel](http://bioexcel.eu/), funded by the European Commission (EU H2020 [823830](http://cordis.europa.eu/projects/823830), EU H2020 [675728](http://cordis.europa.eu/projects/675728)).\n\n* (c) 2015-2024 [Barcelona Supercomputing Center](https://www.bsc.es/)\n* (c) 2015-2024 [Institute for Research in Biomedicine](https://www.irbbarcelona.org/)\n\nLicensed under the\n[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0), see the file LICENSE for details.\n\n![](https://bioexcel.eu/wp-content/uploads/2019/04/Bioexcell_logo_1080px_transp.png \"Bioexcel\")\n",
"bugtrack_url": null,
"license": null,
"summary": "Biobb_ml is the Biobb module collection to perform machine learning predictions.",
"version": "4.2.0",
"project_urls": {
"Bioexcel": "https://bioexcel.eu/",
"Documentation": "http://biobb-ml.readthedocs.io/en/latest/",
"Homepage": "https://github.com/bioexcel/biobb_ml"
},
"split_keywords": [
"bioinformatics",
"workflows",
"bioexcel",
"compatibility"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ca06575e01a73f6fb114fa3ca7e19b03d9ceef93ade6575a185fd57cc0fab152",
"md5": "c946a302502275840df3b3d5d913a3f9",
"sha256": "7d179e704441c4f133340d124b2922120eab00ead2469cfb29e83d4e68cbf87f"
},
"downloads": -1,
"filename": "biobb_ml-4.2.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "c946a302502275840df3b3d5d913a3f9",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 193669,
"upload_time": "2024-05-24T11:29:03",
"upload_time_iso_8601": "2024-05-24T11:29:03.612547Z",
"url": "https://files.pythonhosted.org/packages/ca/06/575e01a73f6fb114fa3ca7e19b03d9ceef93ade6575a185fd57cc0fab152/biobb_ml-4.2.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b737c7bb7d4dce11f257f11ba56a0accf3ae9da192ab746df2ea965c2dc37d31",
"md5": "0d276973094dd9b0c923296bb46fb332",
"sha256": "815613f1c4e36d66a1181ad64fd6e7dc3e523d16ab5ccac0545f27d20bb4e645"
},
"downloads": -1,
"filename": "biobb_ml-4.2.0.tar.gz",
"has_sig": false,
"md5_digest": "0d276973094dd9b0c923296bb46fb332",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 85458,
"upload_time": "2024-05-24T11:29:05",
"upload_time_iso_8601": "2024-05-24T11:29:05.651254Z",
"url": "https://files.pythonhosted.org/packages/b7/37/c7bb7d4dce11f257f11ba56a0accf3ae9da192ab746df2ea965c2dc37d31/biobb_ml-4.2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-05-24 11:29:05",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "bioexcel",
"github_project": "biobb_ml",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "biobb-ml"
}
JSON
