jaswindersingh2/SPOT-RNA
RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.
This tool helps molecular biologists and geneticists predict the intricate 3D shapes (secondary structures) of noncoding RNAs based on their genetic sequences. You input an RNA sequence, and it outputs detailed base-pairing information, including standard formats and probability scores, which are crucial for understanding RNA function. Researchers studying gene regulation or disease mechanisms will find this valuable.
107 stars. No commits in the last 6 months.
Use this if you need highly accurate predictions of RNA secondary structures, especially for complex noncanonical and pseudoknot base pairs, to understand their biological roles.
Not ideal if you need a quick, simple prediction for very short RNA sequences or if you prefer a graphical user interface over command-line tools for basic analysis.
Stars
107
Forks
33
Language
Perl
License
MPL-2.0
Category
Last pushed
May 23, 2025
Commits (30d)
0
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