Prediction of bifunctional RNAs

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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

 

PredictionTraining & Prediction

 

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:

 

Code repository
IRSOM sourcesDownload
IRSOM datasets

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