RIME: Model Weights and Dataset for Predicting RNA-RNA Interactions
Authors/Creators
- 1. Istituto Italiano di Tecnologia - IIT
- 2. Università degli studi di Genova - UNIGE
Contributors
Data curator:
Description
RIME is a deep learning model designed for predicting RNA-RNA interactions. This Zenodo repository contains the model weights and the dataset used for training and evaluation.
If this source code is helpful for your research, please cite the following publication:
"Decoding RNA-RNA Interactions: The Role of Low-Complexity Repeats and a Deep Learning Framework for Sequence-Based Prediction"
Adriano Setti†, Giorgio Bini†, Flaminia Pellegrini, Valentino Maiorca, Gabriele Proietti, Dimitrios Miltiadis-Vrachnos, Angelo D'Angelo, Alexandros Armaos, Julie Martone, Michele Monti, Giancarlo Ruocco, Emanuele Rodolà, Irene Bozzoni, Alessio Colantoni*, Gian Gaetano Tartaglia*
†Co-first authors *Corresponding authors
This model and dataset are described in our preprint: https://www.biorxiv.org/content/10.1101/2025.02.16.638500v1
Files
Datasets.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/tartaglialabIIT/RIME/ (URL)
Software
- Repository URL
- https://github.com/tartaglialabIIT/RIME/