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Project description
Platform
tags: Unique molecular identifier, UMI deduplication, Count matrix, Genome analysis,
Overview
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://2003100127.github.io/umiche.
🔑 Installation
PyPI
# 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
Conda
# create a conda environment
conda create --name umiche python=3.11
# activate the conda environment
conda activate umiche
# the latest version
conda install jianfeng_sun::umiche
Docker
docker pull 2003100127/umiche
Github
# create a conda environment
conda create --name umiche python=3.11
# activate the conda environment
conda activate umiche
# create a folder
mkdir project
# go to the folder
cd project
# fetch UMIche repository with the latest version
git clone https://github.com/2003100127/umiche.git
# enter this repository
cd umiche
# do the following command
pip install .
# or
python setup.py install
📋 Citation
Please cite our work if you use Tresor in your research.
@article{umiche,
title = {UMIche: a Python-based platform for improving multiplexing and demultiplexing of UMI-tagged sequencing data},
author = {Jianfeng Sun},
url = {https://github.com/2003100127/umiche},
year = {2024},
}
🏠 Homepage
📧 Reach us
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