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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.
Python version: >= 3.7
OS-level dependencies: mafft (v7.490 is included in the package)
License: CC0
Version: 0.9.5 (May 2023)

Web version is available at the Atkinson Lab Server Portal:

Data analysis pipeline


  • 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
cd uorf4u
python3 -m pip install --upgrade pip
python3 -m pip install wheel
python3 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.


If you find uorf4u useful, please cite:
Artyom. A. Egorov, Gemma C. Atkinson, uORF4u: a tool for annotation of conserved upstream open reading frames, Bioinformatics, Volume 39, Issue 5, May 2023, btad323; doi: 10.1093/bioinformatics/btad323

Conservation analysis algorithm


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!


uORF4u is developed by Artyom Egorov at the Atkinson Lab, Department of Experimental Medical Science, Lund University, Sweden πŸ‡ΈπŸ‡ͺ.
We are open for suggestions to extend and improve uorf4u functionality. Please don't hesitate to share your ideas or feature requests.