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dc.contributor.authorHu, YJen_US
dc.date.accessioned2014-12-08T15:40:40Z-
dc.date.available2014-12-08T15:40:40Z-
dc.date.issued2003-07-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkg521en_US
dc.identifier.urihttp://hdl.handle.net/11536/27741-
dc.description.abstractRNA molecules play an important role in many biological activities. Knowing its secondary structure can help us better understand the molecule's ability to function. The methods for RNA structure determination have traditionally been implemented through biochemical, biophysical and phylogenetic analyses. As the advance of computer technology, an increasing number of computational approaches have recently been developed. They have different goals and apply various algorithms. For example, some focus on secondary structure prediction for a single sequence; some aim at finding a global alignment of multiple sequences. Some predict the structure based on free energy minimization; some make comparative sequence analyses to determine the structure. In this paper, we describe how to correctly use GPRM, a genetic programming approach to finding common secondary structure elements in a set of unaligned coregulated or homologous RNA sequences. GPRM can be accessed at http://bioinfo.cis.nctu.edu.tw/service/gprm/.en_US
dc.language.isoen_USen_US
dc.titleGPRM: a genetic programming approach to finding common RNA secondary structure elementsen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkg521en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume31en_US
dc.citation.issue13en_US
dc.citation.spage3446en_US
dc.citation.epage3449en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000183832900035-
dc.citation.woscount19-
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