A tool for short uORF annotation.
Project description
Description
uORF4u is a bioinformatics tool for conserved upstream ORF annotation.
Programming language: Python3
OS: MacOS, Linux
Python dependencies: biopython, configs, argparse, pandas, statistics, logomaker, matplotlib, reportlab.
OS-level dependencies: mafft (v7.490 is included in the package)
License: WTFPL
Version: 0.8.3 (November 2022)
Detailed documentation
Installation 🛠️
- The most stable release of uorf4u can be installed directly from pypi:
python3 -m pip install uorf4u
- The development version is available at github :
git clone https://github.com/art-egorov/uorf4u.git
cd uorf4u
python3 -m pip install --upgrade pip
python3 -m pip install wheel
python3 setup.py sdist bdist_wheel
python3 -m pip install -e .
! If you're a linux user, run uorf4u --linux
post-install command once to update paths in the premade config files that set by default for MacOS users.
Reference 📃
If you find uorf4u useful, please cite:
Artyom. A. Egorov, Gemma C. Atkinson, uORF4u: a tool for annotation of conserved upstream open reading frames, bioRxiv 2022.10.27.514069; doi: 10.1101/2022.10.27.514069
Contact 📇
Please contact us by e-mail artemdotegorovATmeddotludotse or use Issues to report any technical problems.
You can also use Discussions section for sharing your ideas or feature requests!
Authors 👨🏻💻
uORF4u is developed by Artyom Egorov at the Atkinson Lab, Department of Experimental Medical Science, Lund University, Sweden 🇸🇪. We are open for suggestions to extend and improve svist4get functionality. Please don't hesitate to share your ideas or feature requests.
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