Name | umiche JSON |
Version |
0.1.0
JSON |
| download |
home_page | None |
Summary | None |
upload_time | 2024-07-31 19:06:03 |
maintainer | None |
docs_url | None |
author | Jianfeng Sun |
requires_python | <4.0,>=3.11 |
license | None |
keywords |
|
VCS |
|
bugtrack_url |
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requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
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<h1 align="center">
<img src="https://github.com/cribbslab/umiche/blob/main/img/UMIche-logo.png?raw=true" width="336" height="112">
<br>
</h1>
[![Anaconda-Server Badge](https://anaconda.org/jianfeng_sun/umiche/badges/latest_release_date.svg)](https://anaconda.org/jianfeng_sun/umiche)
![PyPI](https://img.shields.io/pypi/v/umiche?logo=PyPI)
![Docker Image Version (latest)](https://img.shields.io/docker/v/2003100127/umiche)
![Docker Pulls](https://img.shields.io/docker/pulls/2003100127/umiche)
[![Anaconda-Server Badge](https://anaconda.org/jianfeng_sun/umiche/badges/version.svg)](https://anaconda.org/jianfeng_sun/umiche)
![](https://img.shields.io/docker/automated/2003100127/umiche.svg)
![](https://img.shields.io/github/stars/cribbslab/umiche?logo=GitHub&color=blue)
[![Documentation Status](https://readthedocs.org/projects/umiche/badge/?version=latest)](https://umiche.readthedocs.io/en/latest/?badge=latest)
[![Downloads](https://pepy.tech/badge/umiche)](https://pepy.tech/project/umiche)
<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
```
UMIche is a Python-based platform for improving multiplexing and demultiplexing of UMI-tagged sequencing data, which allows researchers to do knowledge discovery.
## Documentation
Please check how to use the full functionalities of UMIche in the documentation https://cribbslab.github.io/umiche.
## Installation
### Using pip (recommended)
```sh
# create a conda environment
conda create --name umiche python=3.11
# activate the conda environment
conda activate umiche
# the latest version
pip install umiche --upgrade
```
## Citation
Please cite our work if you use Tresor in your research.
```angular2html
@article{umiche,
title = {UMIche: a Python-based platform for improving multiplexing and demultiplexing of UMI-tagged sequencing data},
author = {Jianfeng Sun and Adam P. Cribbs},
url = {https://github.com/cribbslab/umiche},
year = {2024},
}
```
## Contact
Please report any questions on [issue](https://github.com/2003100127/umiche/issues) pages.
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