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Project description
Platform
tags: computational biology
, sequencing read simulation
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://cribbslab.github.io/umiche.
Installation
Using pip (recommended)
# 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.
@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 pages.
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