tresor


Nametresor JSON
Version 0.1.0 PyPI version JSON
download
home_pageNone
SummaryNone
upload_time2024-07-19 23:38:51
maintainerNone
docs_urlNone
authorJianfeng Sun
requires_python<4.0,>=3.11
licenseNone
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align="center">
    <img src="https://github.com/2003100127/tresor/blob/main/img/Tresor-logo.png?raw=true" width="276" height="114">
    <br>
</h1>

[![Anaconda-Server Badge](https://anaconda.org/jianfeng_sun/tresor/badges/latest_release_date.svg)](https://anaconda.org/jianfeng_sun/tresor)
![PyPI](https://img.shields.io/pypi/v/tresor?logo=PyPI)
![Docker Image Version (latest)](https://img.shields.io/docker/v/2003100127/tresor)
![Docker Pulls](https://img.shields.io/docker/pulls/2003100127/tresor)
[![Anaconda-Server Badge](https://anaconda.org/jianfeng_sun/tresor/badges/version.svg)](https://anaconda.org/jianfeng_sun/tresor)
![](https://img.shields.io/docker/automated/2003100127/tresor.svg)
![](https://img.shields.io/github/stars/2003100127/tresor?logo=GitHub&color=blue)
[![Documentation Status](https://readthedocs.org/projects/tresor/badge/?version=latest)](https://tresor.readthedocs.io/en/latest/?badge=latest)
[![Downloads](https://pepy.tech/badge/tresor)](https://pepy.tech/project/tresor)

<hr>

#### Platform

![Python](https://img.shields.io/badge/-Python-000?&logo=Python)
![Docker](https://img.shields.io/badge/-Docker-000?&logo=Docker)
![Anaconda](https://img.shields.io/badge/-Anaconda-000?&logo=Anaconda)
![PyPI](https://img.shields.io/badge/-PyPI-000?&logo=PyPI)

###### tags: `computational biology`, `sequencing read simulation`

## Overview

```angular2html

```

Tresor is a Python toolkit for simulating sequencing reads at the single-locus, bulk RNA-seq, and single-cell levels. It is implemented based on phylogenetic tree-based methods, which allows for ultra-fast simulation read generation. Tresor allows both short-read and long-read sequencing read simulation, and substitution and indel (insertion and deletion) errors added to reads. Tresor implements a very flexible read generation framework, which allows users to design their simulated reads in any forms and structures. Tresor can vastly help both computational and experimental researchers to swiftly test their sequencing method ideas.

## Documentation

Please check how to use the full functionalities of Tresor in the documentation https://2003100127.github.io/tresor.

## Installation

### Using pip (recommended)

```sh
# create a conda environment
conda create --name tresor python=3.11

# activate the conda environment
conda activate tresor

# the latest version
pip install tresor --upgrade
```

## Citation

Please cite our work if you use Tresor in your research.
```angular2html
@article{tresor,
    title = {Tresor: high-performance simulation of sequencing reads},
    author = {Jianfeng Sun and Adam P. Cribbs},
    url = {https://github.com/2003100127/tresor},
    year = {2023},
}
```

## Contact

Please report any questions on [issue](https://github.com/2003100127/tresor/issues) pages.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "tresor",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.11",
    "maintainer_email": null,
    "keywords": null,
    "author": "Jianfeng Sun",
    "author_email": "jianfeng.sunmt@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/3f/5d/844214032aed428dfad47694f791e36ecc64b264a6228d4b25d285d3077b/tresor-0.1.0.tar.gz",
    "platform": null,
    "description": "<h1 align=\"center\">\n    <img src=\"https://github.com/2003100127/tresor/blob/main/img/Tresor-logo.png?raw=true\" width=\"276\" height=\"114\">\n    <br>\n</h1>\n\n[![Anaconda-Server Badge](https://anaconda.org/jianfeng_sun/tresor/badges/latest_release_date.svg)](https://anaconda.org/jianfeng_sun/tresor)\n![PyPI](https://img.shields.io/pypi/v/tresor?logo=PyPI)\n![Docker Image Version (latest)](https://img.shields.io/docker/v/2003100127/tresor)\n![Docker Pulls](https://img.shields.io/docker/pulls/2003100127/tresor)\n[![Anaconda-Server Badge](https://anaconda.org/jianfeng_sun/tresor/badges/version.svg)](https://anaconda.org/jianfeng_sun/tresor)\n![](https://img.shields.io/docker/automated/2003100127/tresor.svg)\n![](https://img.shields.io/github/stars/2003100127/tresor?logo=GitHub&color=blue)\n[![Documentation Status](https://readthedocs.org/projects/tresor/badge/?version=latest)](https://tresor.readthedocs.io/en/latest/?badge=latest)\n[![Downloads](https://pepy.tech/badge/tresor)](https://pepy.tech/project/tresor)\n\n<hr>\n\n#### Platform\n\n![Python](https://img.shields.io/badge/-Python-000?&logo=Python)\n![Docker](https://img.shields.io/badge/-Docker-000?&logo=Docker)\n![Anaconda](https://img.shields.io/badge/-Anaconda-000?&logo=Anaconda)\n![PyPI](https://img.shields.io/badge/-PyPI-000?&logo=PyPI)\n\n###### tags: `computational biology`, `sequencing read simulation`\n\n## Overview\n\n```angular2html\n\n```\n\nTresor is a Python toolkit for simulating sequencing reads at the single-locus, bulk RNA-seq, and single-cell levels. It is implemented based on phylogenetic tree-based methods, which allows for ultra-fast simulation read generation. Tresor allows both short-read and long-read sequencing read simulation, and substitution and indel (insertion and deletion) errors added to reads. Tresor implements a very flexible read generation framework, which allows users to design their simulated reads in any forms and structures. Tresor can vastly help both computational and experimental researchers to swiftly test their sequencing method ideas.\n\n## Documentation\n\nPlease check how to use the full functionalities of Tresor in the documentation https://2003100127.github.io/tresor.\n\n## Installation\n\n### Using pip (recommended)\n\n```sh\n# create a conda environment\nconda create --name tresor python=3.11\n\n# activate the conda environment\nconda activate tresor\n\n# the latest version\npip install tresor --upgrade\n```\n\n## Citation\n\nPlease cite our work if you use Tresor in your research.\n```angular2html\n@article{tresor,\n    title = {Tresor: high-performance simulation of sequencing reads},\n    author = {Jianfeng Sun and Adam P. Cribbs},\n    url = {https://github.com/2003100127/tresor},\n    year = {2023},\n}\n```\n\n## Contact\n\nPlease report any questions on [issue](https://github.com/2003100127/tresor/issues) pages.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": null,
    "version": "0.1.0",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "0ac48b0c7e4ea199e081e8a750661ff84b3bd6f4e0b74ec726fe36f321fff46c",
                "md5": "ca593c065b4f89cd5088f99e4dda2f20",
                "sha256": "20e1882bc93bba9e48b75aab9f605ce48057109101918a9accd9895592e1a3e2"
            },
            "downloads": -1,
            "filename": "tresor-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ca593c065b4f89cd5088f99e4dda2f20",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.11",
            "size": 127604,
            "upload_time": "2024-07-19T23:38:50",
            "upload_time_iso_8601": "2024-07-19T23:38:50.281509Z",
            "url": "https://files.pythonhosted.org/packages/0a/c4/8b0c7e4ea199e081e8a750661ff84b3bd6f4e0b74ec726fe36f321fff46c/tresor-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3f5d844214032aed428dfad47694f791e36ecc64b264a6228d4b25d285d3077b",
                "md5": "85e8dafe768e00cf808a16f250f61d6f",
                "sha256": "f5df3f1faa0de0f99e6c256b330a4374f494aed35e8ec50e1ea68aa1d7487548"
            },
            "downloads": -1,
            "filename": "tresor-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "85e8dafe768e00cf808a16f250f61d6f",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.11",
            "size": 58430,
            "upload_time": "2024-07-19T23:38:51",
            "upload_time_iso_8601": "2024-07-19T23:38:51.955641Z",
            "url": "https://files.pythonhosted.org/packages/3f/5d/844214032aed428dfad47694f791e36ecc64b264a6228d4b25d285d3077b/tresor-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-07-19 23:38:51",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "tresor"
}
        
Elapsed time: 5.10579s