Pseudoknots are a frequent RNA structure that assumes essential roles for varied biocatalyst cell's functions. One of the most challenging fields in bioinformatics is the pre...
: Stochastic Context-Free Grammars (SCFG) has been shown to be effective in modelling RNA secondary structure for searches. Our previous work (Cai et al., 2003) in Stochastic Paral...
Yinglei Song, Chunmei Liu, Russell L. Malmberg, Co...
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
Jitender S. Deogun, Ruben Donts, Olga Komina, Fang...
Background: The prediction of the structure of large RNAs remains a particular challenge in bioinformatics, due to the computational complexity and low levels of accuracy of state...