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An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs

dc.citation.epageen_US
dc.citation.issueen_US
dc.citation.volume14en_US
dc.contributor.authorChang, Tzu-Haoen_US
dc.contributor.authorHuang, Hsi-Yuanen_US
dc.contributor.authorHsu, Justin Bo-Kaien_US
dc.contributor.authorWeng, Shun-Longen_US
dc.contributor.authorHorng, Jorng-Tzongen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.date.accessioned2014-12-08T15:29:02Z
dc.date.available2014-12-08T15:29:02Z
dc.date.issued2013-01-21en_US
dc.description.abstractBackground: Functional RNA molecules participate in numerous biological processes, ranging from gene regulation to protein synthesis. Analysis of functional RNA motifs and elements in RNA sequences can obtain useful information for deciphering RNA regulatory mechanisms. Our previous work, RegRNA, is widely used in the identification of regulatory motifs, and this work extends it by incorporating more comprehensive and updated data sources and analytical approaches into a new platform. Methods and results: An integrated web-based system, RegRNA 2.0, has been developed for comprehensively identifying the functional RNA motifs and sites in an input RNA sequence. Numerous data sources and analytical approaches are integrated, and several types of functional RNA motifs and sites can be identified by RegRNA 2.0: (i) splicing donor/acceptor sites; (ii) splicing regulatory motifs; (iii) polyadenylation sites; (iv) ribosome binding sites; (v) rho-independent terminator; (vi) motifs in mRNA 5'-untranslated region (5'UTR) and 3'UTR; (vii) AU-rich elements; (viii) C-to-U editing sites; (ix) riboswitches; (x) RNA cis-regulatory elements; (xi) transcriptional regulatory motifs; (xii) user-defined motifs; (xiii) similar functional RNA sequences; (xiv) microRNA target sites; (xv) non-coding RNA hybridization sites; (xvi) long stems; (xvii) open reading frames; (xviii) related information of an RNA sequence. User can submit an RNA sequence and obtain the predictive results through RegRNA 2.0 web page. Conclusions: RegRNA 2.0 is an easy to use web server for identifying regulatory RNA motifs and functional sites. Through its integrated user-friendly interface, user is capable of using various analytical approaches and observing results with graphical visualization conveniently. RegRNA 2.0 is now available at http://regrna2.mbc.nctu.edu.tw.en_US
dc.identifier.doi10.1186/1471-2105-14-S2-S4en_US
dc.identifier.issn1471-2105en_US
dc.identifier.journalBMC BIOINFORMATICSen_US
dc.identifier.urihttp://dx.doi.org/10.1186/1471-2105-14-S2-S4en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/20943
dc.identifier.wosnumberWOS:000314468200004
dc.language.isoen_USen_US
dc.titleAn enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifsen_US
dc.typeArticle; Proceedings Paperen_US

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