# quantms-utils
[![Python application](https://github.com/bigbio/quantms-utils/actions/workflows/python-app.yml/badge.svg)](https://github.com/bigbio/quantms-utils/actions/workflows/python-app.yml)
[![Python package](https://github.com/bigbio/quantms-utils/actions/workflows/python-package.yml/badge.svg)](https://github.com/bigbio/quantms-utils/actions/workflows/python-package.yml)
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/ea6903630b3a4d15b674a16b8ce594a7)](https://app.codacy.com/gh/bigbio/quantms-utils/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)
[![PyPI version](https://badge.fury.io/py/quantms-utils.svg)](https://badge.fury.io/py/quantms-utils)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
Python package with scripts and functions for the [quantms workflow](https://github.com/bigbio/quantms) for the analysis of quantitative proteomics data.
The package is available on PyPI: [quantms-utils](https://pypi.org/project/quantms-utils/)
```
pip install quantms-utils
```
## Available Scripts
The following functionalities are available in the package:
### Diann scripts
- `dianncfg` - Create a configuration file for Diann including enzymes, modifications, and other parameters.
- `diann2mztab` - Convert Diann output to mzTab format. In addition, convert DIA-NN output to MSstats, Triqler or mzTab.
The output formats are used for quality control and downstream analysis in quantms.
### SDRF scripts
- `openms2sample` - Extra sample information from OpenMS experimental design file. An example of OpenMS experimental design file is available [here](https://github.com/bigbio/quantms-utils/blob/dev/tests/test_data/BSA_design_urls.tsv).
- `checksamplesheet` - Check the sample sheet for errors and inconsistencies. The experimental design coult be an OpenMS experimental design file or and SDRF file.
### Features to percolator scripts
- `sage2feature` - The add_sage_feature function enhances an idXML file by appending additional features from a Sage feature table, excluding those generated by 'psm_file'.
- `spectrum2feature` - Add the signal-to-noise ratio (SNR) to the feature table for percolator.
### Other scripts
- `psmconvert` - The convert_psm function converts peptide spectrum matches (PSMs) from an idXML file to a CSV file, optionally filtering out decoy matches. It extracts and processes data from both the idXML and an associated spectra file, handling multiple search engines and scoring systems.
- `mzmlstats` - The `mzmlstats` processes mass spectrometry data files in either `.mzML` or `Bruker .d` formats to extract and compile statistics about the spectra. It supports generating detailed or ID-only CSV files based on the spectra data.
## Contributions and issues
Contributions and issues are welcome. Please, open an issue in the [GitHub repository](https://github.com/bigbio/quantms) or PR in the [GitHub repository](https://github.com/bigbio/quantms-utils).
Raw data
{
"_id": null,
"home_page": null,
"name": "quantms-utils",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "quantms, proteomics, mass-spectrometry, data-analysis, big data",
"author": "Yasset Perez-Riverol",
"author_email": "ypriverol@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/ae/6d/8d6ea1b51436bcbb77c0ed9e6072297a37d64f9ef346356ada8c321a85ca/quantms_utils-0.0.18.tar.gz",
"platform": null,
"description": "# quantms-utils\n[![Python application](https://github.com/bigbio/quantms-utils/actions/workflows/python-app.yml/badge.svg)](https://github.com/bigbio/quantms-utils/actions/workflows/python-app.yml)\n[![Python package](https://github.com/bigbio/quantms-utils/actions/workflows/python-package.yml/badge.svg)](https://github.com/bigbio/quantms-utils/actions/workflows/python-package.yml)\n[![Codacy Badge](https://app.codacy.com/project/badge/Grade/ea6903630b3a4d15b674a16b8ce594a7)](https://app.codacy.com/gh/bigbio/quantms-utils/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade)\n[![PyPI version](https://badge.fury.io/py/quantms-utils.svg)](https://badge.fury.io/py/quantms-utils)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nPython package with scripts and functions for the [quantms workflow](https://github.com/bigbio/quantms) for the analysis of quantitative proteomics data.\n\nThe package is available on PyPI: [quantms-utils](https://pypi.org/project/quantms-utils/)\n```\npip install quantms-utils\n```\n\n## Available Scripts \n\nThe following functionalities are available in the package:\n\n### Diann scripts\n\n- `dianncfg` - Create a configuration file for Diann including enzymes, modifications, and other parameters.\n- `diann2mztab` - Convert Diann output to mzTab format. In addition, convert DIA-NN output to MSstats, Triqler or mzTab.\n The output formats are used for quality control and downstream analysis in quantms.\n\n### SDRF scripts\n\n- `openms2sample` - Extra sample information from OpenMS experimental design file. An example of OpenMS experimental design file is available [here](https://github.com/bigbio/quantms-utils/blob/dev/tests/test_data/BSA_design_urls.tsv).\n- `checksamplesheet` - Check the sample sheet for errors and inconsistencies. The experimental design coult be an OpenMS experimental design file or and SDRF file. \n\n### Features to percolator scripts\n\n- `sage2feature` - The add_sage_feature function enhances an idXML file by appending additional features from a Sage feature table, excluding those generated by 'psm_file'.\n- `spectrum2feature` - Add the signal-to-noise ratio (SNR) to the feature table for percolator.\n\n### Other scripts\n\n- `psmconvert` - The convert_psm function converts peptide spectrum matches (PSMs) from an idXML file to a CSV file, optionally filtering out decoy matches. It extracts and processes data from both the idXML and an associated spectra file, handling multiple search engines and scoring systems.\n- `mzmlstats` - The `mzmlstats` processes mass spectrometry data files in either `.mzML` or `Bruker .d` formats to extract and compile statistics about the spectra. It supports generating detailed or ID-only CSV files based on the spectra data.\n\n## Contributions and issues\n\nContributions and issues are welcome. Please, open an issue in the [GitHub repository](https://github.com/bigbio/quantms) or PR in the [GitHub repository](https://github.com/bigbio/quantms-utils).\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Python scripts and helpers for the quantMS workflow",
"version": "0.0.18",
"project_urls": {
"GitHub": "https://github.com/bigbio/quantms-utils",
"LICENSE": "https://github.com/bigbio/quantms-utils/blob/main/LICENSE",
"PyPi": "https://pypi.org/project/quantms-utils/",
"Quantms": "https://quantms.org"
},
"split_keywords": [
"quantms",
" proteomics",
" mass-spectrometry",
" data-analysis",
" big data"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "e624a89c83125612cbe45916164b3cbe0b53357189c8e81d17fb185f3efb8140",
"md5": "ebead68295b9609a239b64c29e178150",
"sha256": "e607dcb3a9b89e0d34d1c8b2992f6fccfb9540689271a7b9b0d656846563d075"
},
"downloads": -1,
"filename": "quantms_utils-0.0.18-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "ebead68295b9609a239b64c29e178150",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 33964,
"upload_time": "2024-12-20T18:30:16",
"upload_time_iso_8601": "2024-12-20T18:30:16.217424Z",
"url": "https://files.pythonhosted.org/packages/e6/24/a89c83125612cbe45916164b3cbe0b53357189c8e81d17fb185f3efb8140/quantms_utils-0.0.18-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "ae6d8d6ea1b51436bcbb77c0ed9e6072297a37d64f9ef346356ada8c321a85ca",
"md5": "7758965badd23023f0b3d6afecfc4deb",
"sha256": "18a0945d7e117de19926d78562e7bf050221cba3c1609c96edff0441fea6d700"
},
"downloads": -1,
"filename": "quantms_utils-0.0.18.tar.gz",
"has_sig": false,
"md5_digest": "7758965badd23023f0b3d6afecfc4deb",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 30213,
"upload_time": "2024-12-20T18:30:19",
"upload_time_iso_8601": "2024-12-20T18:30:19.173678Z",
"url": "https://files.pythonhosted.org/packages/ae/6d/8d6ea1b51436bcbb77c0ed9e6072297a37d64f9ef346356ada8c321a85ca/quantms_utils-0.0.18.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-20 18:30:19",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "bigbio",
"github_project": "quantms-utils",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "click",
"specs": []
},
{
"name": "sdrf-pipelines",
"specs": [
[
">=",
"0.0.31"
]
]
},
{
"name": "pyopenms",
"specs": [
[
">=",
"3.2.0"
]
]
},
{
"name": "pandas",
"specs": []
},
{
"name": "pyarrow",
"specs": [
[
">=",
"16.1.0"
]
]
},
{
"name": "scipy",
"specs": []
}
],
"lcname": "quantms-utils"
}