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Platform

Python Docker Anaconda PyPI

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.

Project details


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umiche-0.1.0.tar.gz (127.8 kB view hashes)

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Built Distribution

umiche-0.1.0-py3-none-any.whl (201.2 kB view hashes)

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