Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huang, CH | en_US |
| dc.contributor.author | Lu, CL | en_US |
| dc.contributor.author | Chiu, HT | en_US |
| dc.date.accessioned | 2014-12-08T15:18:31Z | - |
| dc.date.available | 2014-12-08T15:18:31Z | - |
| dc.date.issued | 2005-09-01 | en_US |
| dc.identifier.issn | 1367-4803 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1093/bioinformatics/bti568 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11536/13331 | - |
| dc.description.abstract | Motivation: RNA H-type pseudoknots are ubiquitous pseudoknots that are found in almost all classes of RNA and thought to play very important roles in a variety of biological processes. Detection of these RNA H-type pseudoknots can improve our understanding of RNA structures and their associated functions. However, the currently existing programs for detecting such RNA H-type pseudoknots are still time consuming and sometimes even ineffective. Therefore, efficient and effective tools for detecting the RNA H-type pseudoknots are needed. Results: In this paper, we have adopted a heuristic approach to develop a novel tool, called HPknotter, for efficiently and accurately detecting H-type pseudoknots in an RNA sequence. In addition, we have demonstrated the applicability and effectiveness of HPknotter by testing on some sequences with known H-type pseudoknots. Our approach can be easily extended and applied to other classes of more general pseudoknots. | en_US |
| dc.language.iso | en_US | en_US |
| dc.title | A heuristic approach for detecting RNA H-type pseudoknots | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | 10.1093/bioinformatics/bti568 | en_US |
| dc.identifier.journal | BIOINFORMATICS | en_US |
| dc.citation.volume | 21 | en_US |
| dc.citation.issue | 17 | en_US |
| dc.citation.spage | 3501 | en_US |
| dc.citation.epage | 3508 | en_US |
| dc.contributor.department | 生物科技學系 | zh_TW |
| dc.contributor.department | Department of Biological Science and Technology | en_US |
| dc.identifier.wosnumber | WOS:000231472500007 | - |
| dc.citation.woscount | 20 | - |
| Appears in Collections: | Articles | |
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