EvryRNA : miRNAFold

Ab initio miRNA prediction in genomes

Ab initio miRNA prediction in genomes


With the next-generation sequencing technologies (NGS), computational methods are required for identifying at a large scale non-coding RNAs (ncRNAs), that are now known to be involved in many biological processes, especially at post-transcriptional level. Among these ncRNAs, microRNAs are largely studied, and biologists need effcient and fast tools for their identication. More particularly, ab initio methods are required, when not yet known miRNAs are searched for.

miRNAFold is dedicated for microRNA precursors identication at a large scale in genomes and allows to predict microRNA hairpin structures in fast way and with high sensitivity.

It is based on an original method where an approximation of miRNA hairpin structure is first searched for, before reconstituting the pre-miRNA structure, allowing substantial decrease in the theoretical time complexity and time searching, compared to the state of art.



A standalone version of miRNAFold is available upon request.

How to cite miRNAFold:
  • C. Tav, S. Tempel, L. Poligny and F. Tahi. miRNAFold: a web server for fast miRNA precursor prediction in genomes. Nucleic Acids Research. 2016. doi:10.1093/nar/gkw459
  • S. Tempel and F. Tahi. A fast ab-initio method for predicting miRNA precursors in genomes. Nucleic Acids Research 40(11):e80. 2012. doi:10.1093/nar/gks146
For any questions, comments or suggestions about miRNAFold, please feel free to contact: fariza.tahi@ibisc.univ-evry.fr