UTRGAN: learning to generate 5′ UTR sequences for optimized translation efficiency and gene expression
The source code, including the model implementation and the optimization are released at http://github.com/ciceklab/UTRGAN. We downloaded the dataset from the UTRdb 2.0 database and available within the GitHub repository.
Authors
- Urartu Özgür Şafak Şeker (ORCID: https://orcid.org/0000-0002-5272-1876)
- Furkan Özden (ORCID: https://orcid.org/0000-0002-9448-3183)
- Sina Barazandeh (ORCID: https://orcid.org/0000-0002-6063-1686)
- Ahmet Hınçer (ORCID: https://orcid.org/0000-0002-5151-6192)
- A. Ercüment Çiçek (ORCID: https://orcid.org/0000-0001-8613-6619)
Institutions
- Bilkent University (TR)
- University of Oxford (GB)
- Science Oxford (GB)
- National Nanotechnology Research Center
- Carnegie Mellon University (US)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf134
- Citations
- 5
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 1.17