IRSOM
Abstaining classification for predicting translated non-coding RNAs
Contact:fariza.tahi@ibisc.univ-evry.fr
This website is free and open to all users and there is no login requirement.
This website uses cookies that do not store any identifying information.
The IRSOM web server classifies each submitted RNA sequence into one of three categories: coding RNA, non-coding RNA, and “translated ncRNA”. This is achieved by using self-organizing maps (SOM), taking into account features that are related to the sequence statistics and the putative open reading frames.
Pre-computed results from a dataset of 38,000 human RNA sequences: Click here
The code repository of IRSOM and the datasets used in the Bioinformatics article are available following the links below:
| OS | Version | Chrome | Firefox | Edge | Safari |
| Linux | Ubuntu 20.04.4 LTS | 100.0 | 98.0 | ||
| macOS | Monterey 12.3.1 | 100.0 | 99.0 | 15.4 | |
| Windows | 10 | 79.0 | 69.0 | 44 |
How to cite IRSOM:
- Platon L., Zehraoui F., Bendahmane A., Tahi F. IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection. Bioinformatics, Volume 34, Issue 17, 01 September 2018, Pages i620–i628. doi:10.1093/bioinformatics/bty572
For any questions, comments or suggestions about IRSOM, please feel free to contact: fariza.tahi@ibisc.univ-evry.fr