Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs | Zendy

Elena Rivas | Zendy; Sean R. Eddy | Zendy

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Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs

Author(s) -

Elena Rivas,

Sean R. Eddy

Publication year - 2000

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/16.7.583

Subject(s) - nucleic acid secondary structure , rna , probabilistic logic , protein secondary structure , computational biology , sequence (biology) , non coding rna , base pair , computer science , statistical model , noise (video) , stability (learning theory) , biology , base (topology) , genome , algorithm , genetics , gene , artificial intelligence , mathematics , machine learning , biochemistry , image (mathematics) , mathematical analysis

Several results in the literature suggest that biologically interesting RNAs have secondary structures that are more stable than expected by chance. Based on these observations, we developed a scanning algorithm for detecting noncoding RNA genes in genome sequences, using a fully probabilistic version of the Zuker minimum-energy folding algorithm.

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