Name | rcx-tk JSON |
Version |
0.1.0
JSON |
| download |
home_page | None |
Summary | This package adjusts and cleans the metadata file provided by a user. |
upload_time | 2024-07-15 12:27:49 |
maintainer | None |
docs_url | None |
author | Zargham Ahmad |
requires_python | <4.0,>=3.11 |
license | MIT |
keywords |
metadata
alkanes
metabolomics
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
## Badges
| fair-software.eu recommendations | |
| :-- | :-- |
| (1/5) code repository | [![github repo badge](https://img.shields.io/badge/github-repo-000.svg?logo=github&labelColor=gray&color=blue)](https://github.com/RECETOX/rcx-tk) |
| (2/5) license | [![github license badge](https://img.shields.io/github/license/RECETOX/rcx-tk)](https://github.com/RECETOX/rcx-tk) |
| (3/4) citation | [![DOI](https://zenodo.org/badge/DOI/<replace-with-created-DOI>.svg)](https://doi.org/<replace-with-created-DOI>) |
| (4/4) checklist | [![workflow cii badge](https://bestpractices.coreinfrastructure.org/projects/<replace-with-created-project-identifier>/badge)](https://bestpractices.coreinfrastructure.org/projects/<replace-with-created-project-identifier>) |
| howfairis | [![fair-software badge](https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8B-yellow)](https://fair-software.eu) |
| **Other best practices** | |
| Static analysis | [![workflow scq badge](https://sonarcloud.io/api/project_badges/measure?project=RECETOX_rcx-tk&metric=alert_status)](https://sonarcloud.io/dashboard?id=RECETOX_rcx-tk) |
| Coverage | [![workflow scc badge](https://sonarcloud.io/api/project_badges/measure?project=RECETOX_rcx-tk&metric=coverage)](https://sonarcloud.io/dashboard?id=RECETOX_rcx-tk) |
| Documentation | [![Documentation Status](https://readthedocs.org/projects/rcx-tk/badge/?version=latest)](https://rcx-tk.readthedocs.io/en/latest/?badge=latest) |
| **GitHub Actions** | |
| Build | [![build](https://github.com/RECETOX/rcx-tk/actions/workflows/build.yml/badge.svg)](https://github.com/RECETOX/rcx-tk/actions/workflows/build.yml) |
| Citation data consistency | [![cffconvert](https://github.com/RECETOX/rcx-tk/actions/workflows/cffconvert.yml/badge.svg)](https://github.com/RECETOX/rcx-tk/actions/workflows/cffconvert.yml) |
| SonarCloud | [![sonarcloud](https://github.com/RECETOX/rcx-tk/actions/workflows/sonarcloud.yml/badge.svg)](https://github.com/RECETOX/rcx-tk/actions/workflows/sonarcloud.yml) |
| MarkDown link checker | [![markdown-link-check](https://github.com/RECETOX/rcx-tk/actions/workflows/markdown-link-check.yml/badge.svg)](https://github.com/RECETOX/rcx-tk/actions/workflows/markdown-link-check.yml) |
## How to use rcx_tk
`rcx-tk` package provides tools to process the metadata or alkane files.
On the input, the user is expected to supply a path to the metadata/alkane file in tsv/csv/xls/xlsx file. The file is then converted to a dataframe which is further processed. The main steps are:
- columns rearrangement
- validation of the file names
- validation that the `injectionNumber` column is of integer type
- derivation of new metadata: `sampleName`, `sequenceIdentifier`, `sampleIdentifier` and `localOrder`
Finally, the processed dataframe is saved into user-defined location.
## Installation
To install rcx_tk from GitHub repository, do:
```console
git clone git@github.com:RECETOX/rcx-tk.git
cd rcx-tk
poetry install
```
The main functions are process_metadata_file and process_alkane_ri_file.
The tool can be run also using command-line interface, either by the python3 or poetry:
```console
python3 <path-to-__main.py__> --method='' <path-to-input-data> <path-to-output-data>
```
```console
poetry run rcx_tk --method='' <file-path-to-input-data> <file-path-to-output-data>
```
## Documentation
The project is documented [here](https://rcx-tk.readthedocs.io/en/latest/?badge=latest).
## Contributing
If you want to contribute to the development of rcx_tk,
have a look at the [contribution guidelines](CONTRIBUTING.md).
## Credits
This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [NLeSC/python-template](https://github.com/NLeSC/python-template).
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