![Python Version from PEP 621 TOML](https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fraw.githubusercontent.com%2Fjs2264%2Fmomics%2Frefs%2Fheads%2Fdevel%2Fpyproject.toml)
[![PyPI - Version](https://img.shields.io/pypi/v/momics)](https://pypi.org/project/momics/)
[![Test & Doc](https://github.com/js2264/momics/actions/workflows/ci.yml/badge.svg)](https://github.com/js2264/momics/actions/workflows/ci.yml)
[![Codecov](https://img.shields.io/codecov/c/gh/js2264/momics)](https://app.codecov.io/gh/js2264/momics)
[![Black](https://img.shields.io/badge/style-black-black)](https://github.com/psf/black)
# momics
`momics` is both a revolutionary file format for efficient storage of ***multi-omics*** data, and a Python package designed to query and manipulate these files. The file format is specifically designed to handle genomic coverage tracks and sequences. The package provides an intuitive command-line interface (CLI) and a Python library for bioinformatics workflows involving genomic data.
## Install
You can install `momics` using `pip`:
```sh
pip install momics
```
Alternatively, clone this repository and install the package locally:
```sh
git clone https://github.com/js2264/momics.git
cd momics
pip install .
```
## Features
- Efficient genomic data storage: Store large genomic coverage tracks and genome reference sequences compactly.
- Multi-Range querying: Query multiple genomic regions simultaneously with high performance.
- Rich Python library: Directly access and manipulate genomic data using Python objects and methods.
- Full-fledged command-line interface (CLI): Perform common tasks such as adding new tracks, querying data, and extracting information directly from the shell.
## Usage
### CLI Commands
- Add a track:
To ingest a `.bw` genomic coverage data into a momics repository, you can use the `ingest` command:
```sh
momics ingest tracks -f bw1=path/to/file.bw path/to/momics_repo
```
- Query genomic coverage:
You can query tracks using either UCSC-style coordinates or a BED file:
```sh
momics query tracks --coordinates "chr1:1-1000" path/to/momics_repo
momics query tracks --file path/to/file.bed path/to/momics_repo
```
### Python API
In Python, you can load and query a momics repository like this:
```py
from momics.momics import Momics
# Load a Momics repository
repo = Momics("path/to/momics_repo")
# Query tracks with coordinates
df = repo.query_tracks("chr1:1-1000")
```
## Data Format
`momics` uses a custom data format that combines genomic sequences and coverage tracks in a compressed and indexed form. The format allows for rapid access to any region of the genome and supports simultaneous querying of multiple genomic regions.
## Contributing
Contributions are welcome! Please submit pull requests or issues on the GitHub repository.
This project uses `black` to format code and `ruff` for linting. We also support `pre-commit` to ensure
these have been run. To configure your local environment, please install these development dependencies and set up
the commit hooks.
## License
This project is licensed under the MIT License. See the LICENSE file for details.
Raw data
{
"_id": null,
"home_page": null,
"name": "momics",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "Tile-DB, bioinformatics, epigenomics, format, genomics, matrix, multi-omics, sparse",
"author": null,
"author_email": "Jacques Serizay <jacques.serizay@pasteur.fr>",
"download_url": "https://files.pythonhosted.org/packages/00/3c/8ff1158a308a27a993bf458c7bfc88c1aa9c4441b131735dc40cd665e97a/momics-0.4.0.tar.gz",
"platform": null,
"description": "![Python Version from PEP 621 TOML](https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fraw.githubusercontent.com%2Fjs2264%2Fmomics%2Frefs%2Fheads%2Fdevel%2Fpyproject.toml)\n[![PyPI - Version](https://img.shields.io/pypi/v/momics)](https://pypi.org/project/momics/)\n[![Test & Doc](https://github.com/js2264/momics/actions/workflows/ci.yml/badge.svg)](https://github.com/js2264/momics/actions/workflows/ci.yml)\n[![Codecov](https://img.shields.io/codecov/c/gh/js2264/momics)](https://app.codecov.io/gh/js2264/momics)\n[![Black](https://img.shields.io/badge/style-black-black)](https://github.com/psf/black)\n\n# momics\n\n`momics` is both a revolutionary file format for efficient storage of ***multi-omics*** data, and a Python package designed to query and manipulate these files. The file format is specifically designed to handle genomic coverage tracks and sequences. The package provides an intuitive command-line interface (CLI) and a Python library for bioinformatics workflows involving genomic data.\n\n## Install\n\nYou can install `momics` using `pip`:\n\n```sh\npip install momics\n```\n\nAlternatively, clone this repository and install the package locally:\n\n```sh\ngit clone https://github.com/js2264/momics.git\ncd momics\npip install .\n```\n\n## Features\n\n- Efficient genomic data storage: Store large genomic coverage tracks and genome reference sequences compactly.\n- Multi-Range querying: Query multiple genomic regions simultaneously with high performance.\n- Rich Python library: Directly access and manipulate genomic data using Python objects and methods.\n- Full-fledged command-line interface (CLI): Perform common tasks such as adding new tracks, querying data, and extracting information directly from the shell.\n\n## Usage\n\n### CLI Commands\n\n- Add a track:\n\nTo ingest a `.bw` genomic coverage data into a momics repository, you can use the `ingest` command:\n\n```sh\nmomics ingest tracks -f bw1=path/to/file.bw path/to/momics_repo\n```\n\n- Query genomic coverage:\n\nYou can query tracks using either UCSC-style coordinates or a BED file:\n\n```sh\nmomics query tracks --coordinates \"chr1:1-1000\" path/to/momics_repo\nmomics query tracks --file path/to/file.bed path/to/momics_repo\n```\n\n### Python API\n\nIn Python, you can load and query a momics repository like this:\n\n```py\nfrom momics.momics import Momics\n\n# Load a Momics repository\nrepo = Momics(\"path/to/momics_repo\")\n\n# Query tracks with coordinates\ndf = repo.query_tracks(\"chr1:1-1000\")\n```\n\n## Data Format\n\n`momics` uses a custom data format that combines genomic sequences and coverage tracks in a compressed and indexed form. The format allows for rapid access to any region of the genome and supports simultaneous querying of multiple genomic regions.\n\n## Contributing\n\nContributions are welcome! Please submit pull requests or issues on the GitHub repository.\n\n\nThis project uses `black` to format code and `ruff` for linting. We also support `pre-commit` to ensure\nthese have been run. To configure your local environment, please install these development dependencies and set up\nthe commit hooks.\n\n\n## License\n\nThis project is licensed under the MIT License. See the LICENSE file for details.\n",
"bugtrack_url": null,
"license": "CC BY-NC 4.0",
"summary": "A package to create and manage genome-related TileDB arrays",
"version": "0.4.0",
"project_urls": {
"changelog": "https://github.com/js2264/momics/blob/devel/CHANGES.md",
"documentation": "https://js2264.github.io/momics",
"homepage": "https://js2264.github.io/momics",
"repository": "https://github.com/js2264/momics"
},
"split_keywords": [
"tile-db",
" bioinformatics",
" epigenomics",
" format",
" genomics",
" matrix",
" multi-omics",
" sparse"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "fddcc6314136f83614cc9db87ef533330f53da6256730307b10f942c0c27d7cb",
"md5": "e804f311a21f9122c2df19dc28890f20",
"sha256": "4dc90ba4f8ac5031f30b516d420c1cdea86bf2be9f1b3a5053a08c3118a18e3f"
},
"downloads": -1,
"filename": "momics-0.4.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "e804f311a21f9122c2df19dc28890f20",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 43903,
"upload_time": "2024-10-25T14:25:59",
"upload_time_iso_8601": "2024-10-25T14:25:59.848672Z",
"url": "https://files.pythonhosted.org/packages/fd/dc/c6314136f83614cc9db87ef533330f53da6256730307b10f942c0c27d7cb/momics-0.4.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "003c8ff1158a308a27a993bf458c7bfc88c1aa9c4441b131735dc40cd665e97a",
"md5": "443af8125317aefdc45832cc18c285f0",
"sha256": "1bda04915dd83fb52656d5020afc3a367ab66b4905c0c1322fce6714944b1d7e"
},
"downloads": -1,
"filename": "momics-0.4.0.tar.gz",
"has_sig": false,
"md5_digest": "443af8125317aefdc45832cc18c285f0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 74968,
"upload_time": "2024-10-25T14:26:01",
"upload_time_iso_8601": "2024-10-25T14:26:01.246602Z",
"url": "https://files.pythonhosted.org/packages/00/3c/8ff1158a308a27a993bf458c7bfc88c1aa9c4441b131735dc40cd665e97a/momics-0.4.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-25 14:26:01",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "js2264",
"github_project": "momics",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "momics"
}