EvryRNA : IRSOM2

Prediction of bifunctional RNAs

This website is free and open to all users and there is no login requirement.

 

 

The IRSOM2 web server classifies each submitted RNA sequence into one of three categories: coding RNA, non-coding RNA, and “bifunctional RNA”. 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

 

 

Video tutorials

Regular use

Advanced use

Model re-training

 

The code repository of IRSOM and the datasets used in the Bioinformatics article are available following the links below:

 


IRSOM sources

IRSOM datasets

OS Version Chrome Firefox Microsoft Edge Safari
Linux Ubuntu 20.04.5 LTS 110.0 110.0 110.0 N/A
MacOS Ventura 13.2.1 110.0 110.0 110.0 16.3
Windows 10 110.0 110.0 110.0 N/A
How to cite IRSOM2 web server:
  • Postic G., Tav C., Platon L., Zehraoui F., Tahi F. IRSOM2: a web server for predicting bifunctional RNAs. Nucleic Acids Research. 2023. doi:10.1093/nar/gkad381
How to cite IRSOM method:
  • 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