Hierarchical analysis of RNA secondary structures with pseudoknots based on sections.
Predicting RNA structures containing pseudoknots remains computationally challenging due to high processing costs and complexity. While standard methods for pseudoknot prediction require O(N6) time complexity, we present a hierarchical approach that significantly reduces computational cost while mai...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2026-01-01
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| Colecção: | PLoS Computational Biology |
| Acesso em linha: | https://doi.org/10.1371/journal.pcbi.1013904 |
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