標題: A heuristic approach for detecting RNA H-type pseudoknots
作者: Huang, CH
Lu, CL
Chiu, HT
生物科技學系
Department of Biological Science and Technology
公開日期: 1-九月-2005
摘要: 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.
URI: http://dx.doi.org/10.1093/bioinformatics/bti568
http://hdl.handle.net/11536/13331
ISSN: 1367-4803
DOI: 10.1093/bioinformatics/bti568
期刊: BIOINFORMATICS
Volume: 21
Issue: 17
起始頁: 3501
結束頁: 3508
顯示於類別:期刊論文


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  1. 000231472500007.pdf