The super-n-motifs model

Comparing RNA secondary structures of arbitrary size uncovers structural patterns that can provide a better understanding of RNA functions. However, performing fast and accurate secondary structure comparisons is challenging when we take into account the RNA configuration (i.e., linear or circular), the presence of pseudoknot and G-quadruplex (G4) motifs and the increasing number of secondary structures generated by high-throughput probing techniques. To address this challenge, we propose the super-n-motifs model, based on a latent analysis of enhanced motifs comprising not only basic motifs but also adjacency relations. The super-n-motifs model computes a vector representation of secondary structures as linear combinations of these motifs.

How to compile the Super-n-motifs program ?

How to use it?

How to cite the Super-n-motifs model ?

Glouzon JS, Perreault JP, Wang S. The super-n-motifs model: a novel alignment-free approach for representing and comparing RNA secondary structures. Bioinformatics. 2017 Jan 14. pii: btw773. doi: 10.1093/bioinformatics/btw773

Licence

The Super-n-motifs model is released under the terms of the GNU GPL licence. For further informations, please see the LICENCE file of the repository.