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A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
BACKGROUND: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algorithm for aligning a CM to an RNA sequence of length N is O(N(3)) in memory. This is only practical for small RNAs. RESUL...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2002
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC119854/ https://www.ncbi.nlm.nih.gov/pubmed/12095421 http://dx.doi.org/10.1186/1471-2105-3-18 |