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dc.contributor.authorHuang, HDen_US
dc.contributor.authorHorng, JTen_US
dc.contributor.authorSun, YMen_US
dc.contributor.authorTsou, APen_US
dc.contributor.authorHuang, SLen_US
dc.date.accessioned2014-12-08T15:39:31Z-
dc.date.available2014-12-08T15:39:31Z-
dc.date.issued2004-03-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkh345en_US
dc.identifier.urihttp://hdl.handle.net/11536/26985-
dc.description.abstractThis work develops an integrated system which, after a set of genes are inputted, is able to predict transcriptional regulatory sites and to detect the co-occurrence of these regulatory sites. The system integrates several site detection methods such as known site matching, over-presented oligonucleotide detection and DNA motif discovery programs. User profiles and history pages enable users to trace the sequence analyses of these transcriptional regulatory sites. Two groups of co-regulated genes were used to test the proposed system. The results predicted by the proposed system consist of known site homologs and putative regulatory sites. By comparing these sites with previously published results, the proposed system is able to help biologists identify possible candidates for the regulatory sites from groups of co-regulated genes. The integrated system is now available at http://rgsminer. csie.ncu.edu.tw/.en_US
dc.language.isoen_USen_US
dc.titleIdentifying transcriptional regulatory sites in the human genome using an integrated systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkh345en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume32en_US
dc.citation.issue6en_US
dc.citation.spage1948en_US
dc.citation.epage1956en_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.identifier.wosnumberWOS:000220898500016-
dc.citation.woscount10-
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