Cargando…
Predicting pseudoknotted structures across two RNA sequences
Motivation: Laboratory RNA structure determination is demanding and costly and thus, computational structure prediction is an important task. Single sequence methods for RNA secondary structure prediction are limited by the accuracy of the underlying folding model, if a structure is supported by a f...
Autores principales: | Sperschneider, Jana, Datta, Amitava, Wise, Michael J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3516145/ https://www.ncbi.nlm.nih.gov/pubmed/23044552 http://dx.doi.org/10.1093/bioinformatics/bts575 |
Ejemplares similares
-
DotKnot: pseudoknot prediction using the probability dot plot under a refined energy model
por: Sperschneider, Jana, et al.
Publicado: (2010) -
Deep learning models for RNA secondary structure prediction (probably) do not generalize across families
por: Szikszai, Marcell, et al.
Publicado: (2022) -
Sequence-structure relations of pseudoknot RNA
por: Huang, Fenix WD, et al.
Publicado: (2009) -
Prediction of RNA secondary structure including pseudoknots for long sequences
por: Sato, Kengo, et al.
Publicado: (2021) -
Pseudoknots in RNA folding landscapes
por: Kucharík, Marcel, et al.
Publicado: (2016)