Profiling and Searching for RNA Pseudoknot Structures in Genomes
Identifieur interne : 001011 ( Main/Exploration ); précédent : 001010; suivant : 001012Profiling and Searching for RNA Pseudoknot Structures in Genomes
Auteurs : Chunmei Liu [États-Unis] ; Yinglei Song [États-Unis] ; Russell L. Malmberg [États-Unis] ; Liming Cai [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: We developed a new method that can profile and efficiently search for pseudoknot structures in noncoding RNA genes. It profiles interleaving stems in pseudoknot structures with independent Covariance Model (CM) components. The statistical alignment score for searching is obtained by combining the alignment scores from all CM components. Our experiments show that the model can achieve excellent accuracy on both random and biological data. The efficiency achieved by the method makes it possible to search for structures that contain pseudoknot in genomes of a variety of organisms.
Url:
- https://api.istex.fr/ark:/67375/HCB-QWH5JJCH-Z/fulltext.pdf
- https://api.istex.fr/ark:/67375/HCB-BN75L25V-9/fulltext.pdf
DOI: 10.1007/11567752_2
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: We developed a new method that can profile and efficiently search for pseudoknot structures in noncoding RNA genes. It profiles interleaving stems in pseudoknot structures with independent Covariance Model (CM) components. The statistical alignment score for searching is obtained by combining the alignment scores from all CM components. Our experiments show that the model can achieve excellent accuracy on both random and biological data. The efficiency achieved by the method makes it possible to search for structures that contain pseudoknot in genomes of a variety of organisms.</div>
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