Applying length-dependent stochastic context-free grammars to RNA secondary structure prediction

DOI10.3390/a4040223zbMath1461.68100OpenAlexW2097508084MaRDI QIDQ1736487

Frank Weinberg, Markus E. Nebel

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a4040223

zbMATH Keywords

RNA secondary structure predictionstochastic context-free grammarlength-dependency

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Grammars and rewriting systems (68Q42)

Related Items (1)

Asymptotic number of hairpins of saturated RNA secondary structures

Uses Software

• KineFold

Cites Work

• Algorithms for Loop Matchings
• Biological Sequence Analysis
• Unnamed Item

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