# MetaSnek
[![](https://img.shields.io/static/v1?label=Licence&message=MIT&color=black)](https://opensource.org/license/mit/)
[![install with PyPI](https://img.shields.io/badge/Install%20with-PyPI-brightgreen.svg?style=flat-square)](https://pypi.org/project/metasnek/)
![GitHub last commit (branch)](https://img.shields.io/github/last-commit/beardymcjohnface/MetaSnek/main)
[![Documentation Status](https://readthedocs.org/projects/metasnek/badge/?version=latest)](https://metasnek.readthedocs.io/en/latest/?badge=latest)
[![Unit Tests](https://github.com/beardymcjohnface/metasnek/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/beardymcjohnface/metasnek/actions/workflows/unit-tests.yml)
[![codecov](https://codecov.io/gh/beardymcjohnface/metasnek/branch/main/graph/badge.svg?token=lCyqJhuiCN)](https://codecov.io/gh/beardymcjohnface/metasnek)
Misc functions for metagenomic pipelines
## fastq_finder
Return a python dictionary of sample names and fasta/q files from a directory or a TSV file.
If given a directory, sample names will be everything upto the first match for "_R1|_R2|_S".
Write a TSV file based on your dictionary.
[More information and examples on here](https://gist.github.com/beardymcjohnface/bb161ba04ae1042299f48a4849e917c8)
Raw data
{
"_id": null,
"home_page": "https://github.com/beardymcjohnface/metasnek",
"name": "metasnek",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "",
"keywords": "",
"author": "Michael Roach",
"author_email": "beardymcjohnface@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/e2/9a/4b8c00e451f2cccfd1c1ed745da6ca082d7489ed81cedf029ad7c0cdb16e/metasnek-0.0.8.tar.gz",
"platform": null,
"description": "# MetaSnek\n\n[![](https://img.shields.io/static/v1?label=Licence&message=MIT&color=black)](https://opensource.org/license/mit/)\n[![install with PyPI](https://img.shields.io/badge/Install%20with-PyPI-brightgreen.svg?style=flat-square)](https://pypi.org/project/metasnek/)\n![GitHub last commit (branch)](https://img.shields.io/github/last-commit/beardymcjohnface/MetaSnek/main)\n[![Documentation Status](https://readthedocs.org/projects/metasnek/badge/?version=latest)](https://metasnek.readthedocs.io/en/latest/?badge=latest)\n[![Unit Tests](https://github.com/beardymcjohnface/metasnek/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/beardymcjohnface/metasnek/actions/workflows/unit-tests.yml)\n[![codecov](https://codecov.io/gh/beardymcjohnface/metasnek/branch/main/graph/badge.svg?token=lCyqJhuiCN)](https://codecov.io/gh/beardymcjohnface/metasnek)\n\nMisc functions for metagenomic pipelines\n\n## fastq_finder\n\nReturn a python dictionary of sample names and fasta/q files from a directory or a TSV file.\nIf given a directory, sample names will be everything upto the first match for \"_R1|_R2|_S\".\nWrite a TSV file based on your dictionary.\n[More information and examples on here](https://gist.github.com/beardymcjohnface/bb161ba04ae1042299f48a4849e917c8)\n",
"bugtrack_url": null,
"license": "",
"summary": "Misc functions for metagenomics pipelines",
"version": "0.0.8",
"project_urls": {
"Homepage": "https://github.com/beardymcjohnface/metasnek"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ea9804fcf455be752391ffa61dbff62a796c940160bddf7fe47b04b64770d49b",
"md5": "5060fc24f6f977e17a26b41feb8835ae",
"sha256": "3e829e4ea16b140c699b89aab97d9f1bbe0ee2d812ad857bbb0c814785fb9ef4"
},
"downloads": -1,
"filename": "metasnek-0.0.8-py3-none-any.whl",
"has_sig": false,
"md5_digest": "5060fc24f6f977e17a26b41feb8835ae",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 6126,
"upload_time": "2023-08-30T04:55:22",
"upload_time_iso_8601": "2023-08-30T04:55:22.830183Z",
"url": "https://files.pythonhosted.org/packages/ea/98/04fcf455be752391ffa61dbff62a796c940160bddf7fe47b04b64770d49b/metasnek-0.0.8-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "e29a4b8c00e451f2cccfd1c1ed745da6ca082d7489ed81cedf029ad7c0cdb16e",
"md5": "156aade2fe4687501c39620d00c6a657",
"sha256": "33babe2e8294a9bc3bd97b30f8eb7c802252c5013dc6026096956bab319eb2fc"
},
"downloads": -1,
"filename": "metasnek-0.0.8.tar.gz",
"has_sig": false,
"md5_digest": "156aade2fe4687501c39620d00c6a657",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 8266,
"upload_time": "2023-08-30T04:55:24",
"upload_time_iso_8601": "2023-08-30T04:55:24.286198Z",
"url": "https://files.pythonhosted.org/packages/e2/9a/4b8c00e451f2cccfd1c1ed745da6ca082d7489ed81cedf029ad7c0cdb16e/metasnek-0.0.8.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-30 04:55:24",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "beardymcjohnface",
"github_project": "metasnek",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "metasnek"
}