Kisses, ambivalent models and more: Contributions to the analysis of RNA secondary structure
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Summary
A technique to incorporate "ambivalent" consensus structures into covariance models (Program aCMs) and the old algorithmic idea of outside-in computation for the new programming framework Bellman’s GAP is revisited.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 3
- References
- 98
- Access
- Open access
- OpenAlex
- https://openalex.org/W44584147
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:29895783
Keywords
Protein secondary structure, Nucleic acid secondary structure, RNA, Computer science, Dynamic programming
References
- UNAFold: software for nucleic acid folding and hybridization.
- Compiling a domain specific language for dynamic programming
- Bellman's GAP: a 2nd generation language and system for algebraic dynamic programming
- Fast folding and comparison of RNA secondary structures
- Complete probabilistic analysis of RNA shapes
- A comprehensive comparison of comparative RNA structure prediction approaches
- Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
- Versatile and declarative dynamic programming using pair algebras
- PseudoBase: structural information on RNA pseudoknots
- Effective ambiguity checking in biosequence analysis
- Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
- The dynamic structural basis of differential enhancement of conformational stability by 5'- and 3'-dangling ends in RNA.
- Characterization of a "kissing" hairpin complex derived from the human immunodeficiency virus genome.
- Thermodynamics of unpaired terminal nucleotides on short RNA helixes correlates with stacking at helix termini in larger RNAs.
- Selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE): quantitative RNA structure analysis at single nucleotide resolution
- Abstract shapes of RNA.
- Applications of stochastic context-free grammars using the Inside-Outside algorithm
- Efficient parameter estimation for RNA secondary structure prediction
- The equilibrium partition function and base pair binding probabilities for RNA secondary structure
- A discipline of dynamic programming over sequence data
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